CN116261711A

CN116261711A - Intellectual property situation platform

Info

Publication number: CN116261711A
Application number: CN202180066750.7A
Authority: CN
Inventors: J·B·瑞安; M·J·托比亚斯; S·C·弗莱明; J·D·索尔; L·J·L·鲍曼; T·西根
Original assignee: Aon Risk Services Inc of Maryland
Current assignee: Aon Risk Services Inc of Maryland
Priority date: 2020-09-30
Filing date: 2021-09-24
Publication date: 2023-06-13
Also published as: CA3189885A1; EP4222686A1; WO2022072246A1

Abstract

Systems and methods for generating and using Intellectual Property (IP) posture platforms are disclosed. The situation component can be employed to generate refined IP asset clusters using user seed searches in different areas of interest, such as target technology areas, target publications, target products, and/or competitor entity combinations. The situation component may further be operative to generate an interactive graphical element comprising a spatial representation of the clusters of IP assets. The interactive graphical elements may include various functions and/or information associated with clustering of IP assets. The exposure evaluation component can be configured to evaluate an exposure level associated with the target entity by analyzing a mapping between the IP asset and allocated funds of the target entity, generate a score representing the exposure level, determine an insurance product, and/or change a rate associated with the insurance product.

Description

Intellectual property situation platform

Cross Reference to Related Applications

The present application claims priority from U.S. patent application Ser. No. 17/038,411, entitled "INTELLECTIAL-PROPERTY LANDSCAPING PLATFORM", U.S. patent application Ser. No. 17/038,477, entitled "INTELLECTIAL-PROPERTY LANDSCAPING", U.S. patent application Ser. No. 17/038,549, entitled "INTELLECTIAL-PROPERTY LANDSCAPING PLATFORM", and U.S. patent application Ser. No. 17/038,616, entitled "INTELLECTIAL-PROPERTY LANDSCAPING PLATFORM", filed on 30 in 2020, 9, and entitled "INTELLECTIAL-PROPERTY LANDSCAPING PLATFORM", filed on 30 in 2020.

Technical Field

Analyzing intellectual property combinations of a particular entity relative to one or more entities having similar intellectual property combinations (intellect-property portfolio) may provide various insights and may be valuable. However, it is difficult to determine that individual entities, particularly entities having a large number of combinations, have similar intellectual property combinations. Technical improvements and solutions to technical problems are disclosed herein that may be used, among other things, to analyze and generate visual representations of intellectual property combinations of various entities.

Drawings

The following detailed description refers to the accompanying drawings. In the drawings, the leftmost digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference symbols in different drawings indicates similar or identical items. The systems depicted in the drawings are not to scale and the components in the drawings may not be to scale relative to each other.

FIG. 1 illustrates a schematic diagram of an example environment of an intellectual property situation platform architecture.

FIG. 2 illustrates a component diagram of example components of a remote computing resource for an intellectual property situation platform.

FIG. 3 illustrates an example user interface for displaying data associated with a user account representing an intellectual property item and/or a research query and/or one or more actionable elements.

FIG. 4A illustrates an example user interface for displaying data associated with a user account representing an intellectual property search window associated with an intellectual property situation item and/or a research query and/or one or more actionable elements.

FIG. 4B illustrates an example user interface for displaying data associated with a user account representing an intellectual property similarity window associated with an intellectual property situation item and/or a research query and/or one or more actionable elements.

FIG. 4C illustrates an example user interface for displaying data associated with a user account representing an intellectual property clustering window associated with an intellectual property situation item and/or a research query and/or one or more actionable elements.

FIG. 5A illustrates an example user interface for displaying data associated with a user account representing an entity search view associated with an intellectual property item and/or a research query and/or one or more actionable elements.

FIG. 5B illustrates an example user interface for displaying data associated with a user account representing a publication search view associated with an intellectual property item and/or a research query and/or one or more actionable elements.

FIG. 6 illustrates an example user interface for displaying data associated with a user account representing a similar intellectual property asset window associated with an intellectual property situation item and/or a research query and/or one or more actionable elements.

FIG. 7 illustrates an example user interface for displaying data associated with a user account representing a target entity window and similar entity windows associated with intellectual property situational items and/or research queries and/or one or more actionable elements.

FIG. 8 illustrates an example user interface for displaying data associated with a user account representing a target entity window and a cluster result window associated with an intellectual property item and/or a research query and/or one or more actionable elements.

FIG. 9 illustrates an example user interface for displaying data representing interactive graphical elements configured as visual representations of a target intellectual property situation, one or more information floating windows, and/or one or more actionable elements.

FIG. 10 illustrates an example user interface for displaying data representing interactive graphical elements configured as visual representations of a target intellectual property situation, one or more word cloud (word cloud) windows, and/or one or more assignee publication count windows.

FIG. 11 illustrates an example user interface for displaying data representing a study refinement element, a study bar, a study result overlay, and/or one or more actionable elements.

FIG. 12 illustrates an example flow chart of an example process for initiating an entity search with a target entity and/or an entity having an intellectual property asset and generating a user interface configured to present entities similar to the target entity in a ranked manner.

FIG. 13 illustrates an example flow chart of an example process for initiating an entity search with a target publication and generating a user interface configured to present entities having intellectual property assets similar to the target publication in a ranked manner.

FIG. 14 illustrates an example flow chart of an example process for initiating an entity search with a target product and generating a user interface configured to present entities having intellectual property assets in a ranked manner that are similar to the technology associated with the target product.

FIG. 15 illustrates an example flow chart of an example process for generating data representing a result set including clusters of intellectual property assets determined to be similar to a target entity and presenting the clusters on a graphical user interface.

FIG. 16 illustrates an example flow chart of an example process for generating data representing a result set including clusters of at least two intellectual property assets determined to be similar to a target entity and presenting the clusters on a graphical user interface.

FIG. 17 illustrates an example flow chart of an example process for generating data representing a result set that includes first and second clusters and information associated with the clusters, and presenting the clusters on a graphical user interface.

FIG. 18 illustrates an example flow chart of an example process for generating data representing a result set that includes clusters of intellectual property assets and generating interactive graphical elements that include spatial representations of the clusters included in the result set.

FIG. 19 illustrates an example flow chart of an example process for generating data representing a result set including clusters mapped to products or services provided by a target entity to evaluate and determine an overall exposure level of intellectual property assets associated with the target entity.

Detailed Description

Systems and methods of generating and using intellectual property situational platforms are disclosed. For example, an entity may find it beneficial to utilize a platform by analyzing a corpus of Intellectual Property (IP) assets for technical fields, topics, and/or competitor entities in an efficient manner and determining overall saturation and/or identifying coverage gaps associated with IP assets included in the technical field, topic, and/or competitor entity portfolio being targeted. For example, an entity may wish to know how densely IP assets are associated with a technical field for patentability determination, infringement determination, asset acquisition purposes, development purposes, insurance purposes, and the like. Typically, a user may search a database of such files using a keyword search, such as a technical term, an identifier of a target product or target entity. To collect a reasonable number of results without unduly limiting the files in those results, a user may employ extensive keyword searches and then examine each file to determine whether each file should be considered within or outside of a class for the current purpose. However, taking patents and patent applications as examples, even looking at patents and patent applications filed in the united states alone, potential document corpuses can easily reach thousands or even tens of thousands or more. Furthermore, grouping patents based on one or more shared technical areas, topics, and/or similar entities can become cumbersome, especially when processing large corpora. In view of this, it would be beneficial for an IP posture platform to be configured to identify IP assets that may be determined to be similar to IP portfolios of one or more target entities, one or more target publications, and/or one or more target products and/or services and to generate a plurality of result sets of different granularity levels, and to cluster intellectual property assets in terms of technical aspects of the IP assets. Furthermore, interactive graphical elements including spatial representations of IP asset clusters may be needed to accurately and efficiently visualize the situation of clusters of IP assets.

Described herein is an IP situational platform configured to generate refined IP asset clusters using seed searches of users in different areas of interest, such as target technology areas, target publications, target products, and/or competitor entity combinations. The platform may include a situation component, an exposure evaluation component, and a data repository. In some examples, the situation component may include various subcomponents, such as a seeding component, a user interface generation component, and/or a clustering component. Additionally or alternatively, the seeding component can include various sub-components, such as a similarity component, a vector component, and/or a ranking component. In general, a situation component can utilize any number of its components to initiate user-driven IP searches, identify entities with similar IP combinations, cluster IP assets with different levels of granularity, and generate a spatial representation of the IP asset clusters. The exposure evaluation component can be configured to evaluate an exposure level associated with the target entity by analyzing a mapping between the IP asset and allocated funds of the target entity, generate a score representing the exposure level, determine an insurance product, and/or change a rate associated with the insurance product. The data repository may be a system-accessible secure data repository for securely storing user account data, including project repositories, IP asset repositories including one or more IP assets, and/or historical data. The user may access the IP posture platform via one or more user interfaces that may be configured to display information associated with items associated with user accounts of the user and/or accounts associated with one or more user accounts. Additionally or alternatively, the user interface may be configured to receive user input.

The IP posture platform may be configured to display a user interface for presenting information associated with items associated with a user account. For example, the user interface may include selectable portions that, when selected, may present information associated with the situation component and/or information associated with the exposure evaluation component. Additionally or alternatively, the IP posture platform may be configured to cause the user interface to present information associated with the posture component and/or information associated with the exposure evaluation component using different views. Additionally or alternatively, the user interface may include one or more information windows for presenting information associated with items associated with the user account.

When a user accesses the IP situational platform using a user account, the user interface may be caused to display one or more pages that present portions of information associated with the situational component and/or exposure assessment component using information windows related thereto. The pages that the user account may access may include, for example, a project list page, a selected project page, a selected search page, a similar publication page, a similar entity page, a cluster result page, and/or a cluster panel page. As described above, each page presents information using an information window associated with the page.

When the user account accesses the item list page, the user interface may be caused to display an information window associated with the item list page and/or one or more actionable elements. For example, the user interface may be caused to display a list of items window, add item elements, and/or item filter elements. The item list window may include one or more item lists associated with the selected user account corresponding to the item filter element.

In some examples, the item list window may include a list of items associated with the customer account. For example, the item list window may include items created by user accounts, items created by other user accounts associated with user accounts (i.e., user accounts associated with similar entities), and/or fixed items (i.e., items that have been saved by user accounts). In some examples, a separate cell for each item may be used to present a list of items. In some examples, each cell may include a representation of an item name, a description of the item, a representation of a user account creating the item, a representation of an item creation date, and one or more elements operably associated with the item. In some examples, the add item element may be configured such that when selected, the user interface presents a window configured to receive user input required to create a new item. In some examples, the one or more actionable elements may include a fixed item element, a duplicate item element, an edit item element, and/or a delete item element. Additionally or alternatively, each cell may be operable such that when an item is selected, the user interface may be caused to display a selected item page corresponding to the selected item.

When the user account accesses the selected item page, the user interface may be caused to display an information window associated with the selected item on the item list page. For example, the user interface may be caused to display an item information window and/or one or more view selection elements. The information window may present information associated with a selected item corresponding to a view specified by the selected view selection element.

In some examples, the item information window may include multiple views that may be presented in response to selection of a respective view selection element. For example, the item information window may include a search view, a similarity view, and/or a cluster view. In some examples, the one or more view selection elements may include a search view element, a similarity view element, and/or a cluster view element. The one or more view selection elements may be configured such that when selected, the item information window may present a view corresponding to the selected view selection element.

The user interface may be caused to display a search view of the item information window when the user account selects the search view element. In some examples, the search view of the item information window may include a search listing associated with the item and/or build a new search element. Each search may use a separate cell to present a search listing. In some examples, each cell may include a representation of a search name, a description of a search, a representation of a user account that created the search, and a representation of a time at which the search was created, and/or one or more actionable elements associated with the search. In some examples, the one or more actionable elements may include duplicate search elements, edit search elements, and/or delete search elements. In some examples, building a new search element may be configured such that when selected, the user interface presents a window configured to receive user input required to build the new search. Additionally or alternatively, each cell may be operable such that when a search is selected, the user interface may be caused to display a search page corresponding to the selected search.

When the user account selects the similarity view element, the user interface may be caused to display a similarity view of the item information window. In some examples, the similarity view of the item information window may include a list of similarities associated with the item. A separate cell for each similarity may be used to present a list of similarities. In some examples, each cell may include a representation of a similarity name, a representation of a similarity type (i.e., patent or assignee), a description of a similarity, a representation of a user account creating the similarity, a representation of a date of creation of the similarity, and/or a status indicator associated with the similarity. In some examples, the status indicator may provide a representation of the status of the similarity generation, such as pending, completed, and/or failed. Additionally or alternatively, each cell may be operable such that when a similarity is selected, the user interface may be caused to display a publication similarity page corresponding to the selected publication similarity and/or the user interface may be caused to display an entity similarity page corresponding to the selected entity similarity.

When the user account selects the cluster view element, the user interface may be caused to display a cluster view of the item information window. In some examples, the cluster view of the item information window may include a list of clusters associated with the item. Each cluster may use a separate cell to present a list of clusters. In some examples, each cell may include a representation of a cluster name, a description of the cluster, a representation of a user account that created the cluster, a representation of a date the cluster was created, and/or a status indicator associated with the cluster. In some examples, the status indicator may provide a representation of the status of cluster generation, such as pending, completed, and/or failed. Additionally or alternatively, each cell may be actionable such that when a cluster is selected, the user interface may be caused to display a cluster page corresponding to the selected cluster.

When the user account accesses the search page, the user interface may be caused to display an information window associated with the search page. For example, the user interface may be caused to display at least one search information window and/or one or more view selection elements. The search information window may present information associated with the selected search that corresponds to the view specified by the selected view selection element.

In some examples, the search information window may include a plurality of views that may be presented in response to selection of a respective view selection element. For example, the search information window may include an entity view and/or a publication view. In some examples, the one or more view selection elements may include an entity view element and/or a publication view element. The one or more view selection elements may be configured such that when selected, the search information window may present a view corresponding to the selected view selection element.

The user interface may be caused to display an entity view of the search information window when the entity view element is selected by the user account. In some examples, the entity view of the search information window may include an entity search window, a selected entity window, a save element, and/or an action element. In some examples, the entity search window may include a list of similar entities and/or search elements. Each similar entity may use a separate cell to present a list of similar entities. In some examples, each element may include a representation of a name of a similar entity, a representation of a number of IP assets associated with the similar entity, and/or a selection element. In some examples, the selection element may be configured such that when selected, similar entities are removed from the entity search window and added to the selected entity window. In some examples, the selected entity window may include a list of selected entities and/or a representation of a total number of IP assets associated with the selected entities. Each selected entity may use a separate cell to present a list of selected entities. In some examples, each cell may include a representation of a name of the selected entity, a representation of a number of IP assets associated with the selected entity, and/or a removal element. In some examples, the removal element may be configured such that when selected, the selected entity is removed from the list of selected entities and added to the list of similar entities in the entity search window. In some examples, the save element may be configured such that when selected, a list of selected entities is saved in association with the user account. In some examples, an action element may be associated with one or more sub-elements. For example, action elements may include finding similar assignee sub-elements, clustering patent sub-elements, deriving selected entity patent sub-elements, and/or deriving patent litigation sub-elements. In some examples, the find similar assignee sub-element may be configured such that, when selected, the user interface is caused to present a similar entity page. Additionally or alternatively, the clustering patent sub-element may be configured such that when selected, the user interface is caused to present a clustering result page. Additionally or alternatively, deriving the selected entity patent subelement may be configured such that when selected, a user may optionally download a file representing a list of IP assets associated with the selected entity and information associated with one or more selected entities. Additionally or alternatively, the export patent litigation subelement may be configured such that, when selected, a user may optionally download a file representing litigation information associated with the IP asset associated with the selected entity.

When the user account selects the publication view element, the user interface may be caused to display a publication view of the search information window. In some examples, the publication view of the search information window may include a publication search window, a save element, and/or an action element. In some examples, the publication search window may include a representation of a number of search elements and/or saved publication numbers associated with the search elements. In some examples, the search element may be configured to receive user input representing any number of publication numbers from 1-N, where N is any integer greater than 1. In some examples, the save element may be configured such that when selected, the publication number entered in the search element is saved in association with the user account. In some examples, an action element may be associated with one or more sub-elements. For example, action elements may include find similar publications subelements, cluster patents subelements, export patent litigation subelements, and/or export patent trial and complaint committee (PTAB) subelements. In some examples, the find similar publication subelement may be configured such that when selected, the user interface is caused to present a similar publication page. Additionally or alternatively, the clustering patent sub-element may be configured such that when selected, the user interface is caused to present a clustering result page. Additionally or alternatively, the export patent subelement may be configured such that when selected, a user may optionally download a file representing a list of IP assets associated with publication numbers saved in the search element. Additionally or alternatively, the export patent litigation subelement may be configured such that, when selected, the user may optionally download a file representing litigation information associated with an IP asset determined to be similar to a saved publication number included in the search element. Additionally or alternatively, the PTAB subelement of the derived patent may be configured such that when selected, the user may optionally download a file representing PTAB record information associated with an IP asset determined to be similar to the saved publication number included in the search element.

When the user account accesses a similar publication page, the user interface may be caused to display an information window that presents data associated with the similarity selected on the similarity page and/or presents results of the action elements selected in the publication search view of the search page. For example, the user interface may be caused to display similar publication windows, action elements, and/or one or more actionable elements.

In some examples, the similar publication window may include a list of similar publications. Each similar publication may use a separate cell to present a list of similar publications. In some examples, each cell may include a representation of a title of the similar publication, a publication number associated with the similar publication, a representation of an entity and/or assignee associated with the similar publication, a priority date associated with the similar publication, a representation of litigation matters associated with the similar publication, a proprietary score associated with the similar publication, and/or a selection indicator. In some examples, the action elements may include clustering patent sub-elements, deriving patent sub-elements, and/or deriving patent litigation sub-elements. In some examples, the clustering patent sub-elements may be configured such that when selected, the user interface is caused to present a clustering result page. Additionally or alternatively, the export patent subelement may be configured such that, when selected, files representing a list of similar publications may be selectively downloaded by a user. Additionally or alternatively, the derived patent litigation subelement may be configured such that, when selected, files representing litigation information associated with similar publications may be selectively downloaded by a user. In some examples, the one or more actionable elements may include a filter element, a sort element, and a column sort element. In some examples, the filter element may be configured to filter a list of similar publications. Additionally or alternatively, the ranking element may be configured to rank the list of similar publications based on various user-selected criteria. Additionally or alternatively, the column ranking element may be configured to rank the list of similar publications based on the columns associated with the cells.

When the user account accesses a similar entity page, the user interface may be caused to display an information window that presents data associated with the similarity selected on the similarity page and/or presents results from the action elements selected in the entity search view of the search page. For example, the user interface may be caused to display a target entity window, a similar entity window, and/or one or more actionable elements.

In some examples, the target entity window may include a list of target entities, a representation of a total number of IP assets associated with the target entities, and/or edit target entity selection elements. Each target entity may use a separate cell to present a list of target entities. In some examples, each cell may include a representation of an identity of the target entity and/or a representation of a number of IP assets associated with the target entity. In some examples, the edit target entity selection may be configured such that when selected, the user interface may be caused to present an entity view of the search page. In some examples, the similar entity window may include a list of similar entities, a filter element, and/or an action element. Each similar entity may use a separate cell to present a list of similar entities. In some examples, each cell may include a representation of an ordering of similar entities relative to other similar entities, a representation of an identification of similar entities, a number of IP assets associated with similar entities, and/or proprietary scores associated with similar entities. In some examples, the filter element may be configured to receive user input and filter a list of similar entities corresponding to text strings in the input filter element. In some examples, the action elements may include clustering patent sub-elements, deriving entity sub-elements, deriving top 50k patent sub-elements, and/or deriving litigation sub-elements of the selected similar entities. In some examples, the clustering patent sub-elements may be configured such that when selected, the user interface is caused to present a clustering result page. Additionally or alternatively, the export entity sub-element may be configured such that, when selected, files representing the list of similar entities may be selectively downloaded by the user. Additionally or alternatively, the export first 50k patent subelement may be configured such that, when selected, files representing a list of 50,000 IP assets associated with a top-ranked similar entity may be selectively downloaded by a user. Additionally or alternatively, sub-elements of litigation deriving the selected similar entity may be configured such that, when selected, files representing litigation information associated with IP assets of the selected similar entity may be selectively downloaded by a user. In some examples, the one or more actionable elements may include a return assignee selection element that may be configured such that, when selected, the user interface is caused to present an entity view of the search page.

When the user account accesses the cluster result page, the user interface may be caused to display an information window that presents data associated with the clusters selected on the cluster page, and/or presents results from action elements selected in the entity search view from the search page, action elements selected on a similar entity page, and/or action elements selected on a similar publication page. For example, the user interface may be caused to display a target entity window and/or a cluster result window.

In some examples, the target entity window may include a list of target entities, a representation of a total number of IP assets associated with the target entities, and/or edit target entity selection elements. Each target entity may use a separate cell to present a list of target entities. In some examples, each cell may include a representation of an identity of the target entity and/or a representation of a number of IP assets associated with the target entity. In some examples, the edit target entity selection may be configured such that when selected, the user interface may be caused to present an entity view of the search page. In some examples, the cluster result window may include information associated with the selected result set, one or more cluster sub-windows, the result set selector, and/or the action element. In some examples, the information associated with the selected result set may include a representation of the selected result set, a representation of a number of clusters associated with the selected result set, and/or a representation of a total number of IP assets associated with the clusters included in the selected result set. In some examples, each cluster sub-window may include a representation of a number of clusters, a total number of IP assets associated with a cluster, one or more keywords associated with a cluster, and/or a name cluster field configured to receive user input for specifying a cluster name. In some examples, the result set selector may include a representation of the currently selected result set, and/or a list of all result sets and a representation of the number of clusters included in each respective result set. In some examples, the action elements may include a cluster panel sub-element, a derived Comma Separated Value (CSV) file element, and/or a derived patent litigation sub-element. In some examples, the cluster panel sub-element may be configured such that when selected, the user interface may be caused to present a cluster panel page. Additionally or alternatively, the files exported as CSV file elements may be configured such that, when selected, files comprising representations of clusters in the CSV file format may be selectively downloaded by a user. Additionally or alternatively, the derived patent litigation subelement may be configured such that, when selected, files representing litigation information associated with IP assets included in clusters of the selected result set may be selectively downloaded by a user.

When the user account accesses the cluster panel page, the user interface may be caused to display information that presents data associated with clusters included in the selected result set on the cluster result page. For example, the user interface may be caused to display interactive graphical elements and/or one or more information floating windows.

In some examples, the interactive graphical elements may include a spatial representation of the clusters. In some examples, the spatial representation may include a background represented by a blank, a graphical indicator associated with individual IP assets included in the cluster, a set of keywords associated with individual clusters included in the result set, a slider filter control, and/or an animated sequence element. In some examples, the graphical indicator may be represented as a point having a size corresponding to the relevance of the associated IP asset relative to other IP assets included in the cluster. Additionally or alternatively, the graphical indicator may be represented as a dot having a size corresponding to a breadth score, indicating claim strength and/or breadth of claims included in the related IP asset relative to other IP assets included in the cluster. Additionally or alternatively, the graphical indicator may be color coded such that IP assets included in a cluster of the selected result set may be represented by the graphical indicator having a color associated with the cluster. In some examples, the graphical indicators belonging to the individual clusters in the result set may have different colors corresponding to the individual clusters to which they belong. In some examples, the keyword set may include one or more keywords associated with an individual cluster and may be presented in a central location of the cluster. Additionally or alternatively, the keyword set may be represented in a color corresponding to the associated cluster. Additionally or alternatively, the interactive graphical element may be configured to be manipulated by various user inputs, such as a zoom action configured to zoom in or out the view of the interactive graphical element to a desired location of the spatial representation, and/or a click and drag action configured to focus the view of the interactive graphical element to a desired location of the spatial representation. In some examples, the slider filter control may be configured to receive user input representing a lower and/or upper limit associated with the priority date and/or a proprietary score associated with the IP assets included in the clusters of the selected result set. In some examples, the animation sequence element may be configured such that when selected, the interactive graphical element may be caused to display an animated view of the spatial representation of the cluster. For example, the animated view may be configured as a time-lapse animation such that graphical elements included in the spatial representation may appear and/or disappear according to a range specified by the lower and upper limits of the slider filter control.

In some examples, the one or more information floating windows may include a filter floating window, an IP asset floating window, a cluster floating window, and/or a fast information window. In some examples, the filter hover window may include a search element configured to allow a user to search for IP assets and/or clusters, a representation of a number of IP assets included in a cluster, a representation of IP assets visible on a current view of a spatial representation (e.g., a graphical element in a view), a representation of a number of IP assets included in a cluster but not presented on an interactive graphical element, an item selection control, a score filter slider, a cluster filter element, and/or a cluster color selector. In some examples, the item selection control may be configured such that when selected, a user may select an item to be visualized on an interactive graphical element representing an IP asset situation. In some examples, the score filter slider may include a lower limit control and/or an upper limit control associated with proprietary scores associated with IP assets included in clusters of the selected result set. In some examples, the cluster filter element may be configured such that when a cluster is selected, the selected cluster may be configured to appear and/or disappear from the spatial representation. In some examples, the cluster color selector may be configured to allow a user to change a color associated with an individual cluster of the selected result set. In some examples, the IP asset floating window may be displayed in response to a user input representing a selection of a graphical element in the spatial representation. The IP asset floating window may include information associated with the selected IP asset and/or proprietary scores associated with the selected IP asset and generated by the IP posture platform. In some examples, the cluster suspension window may include information associated with the clusters, such as a representation of colors associated with the clusters, a representation of keyword sets associated with the clusters, a number of patents associated with the clusters, and an average of proprietary scores associated with IP assets included in the clusters and generated by the IP posture platform. In some examples, the fast information hover window may be displayed in response to a user hovering over a graphical element in the spatial representation. The fast information window may include at least a portion of the information included in the IP asset suspension window.

As described above, the IP posture platform may include data warehousing. In some examples, the data repository may include data corresponding to user accounts, projects, IP assets, historical data, saved results from previous interactions of user accounts with the IP situational platform, and/or market data. Items may include, for example, seed search queries, similarity results, cluster results, and/or spatial representations of clusters. The items may be stored relative to the user account. Additionally or alternatively, the saved results may include, for example, seed search queries, similarity results, clustered results, and/or spatial representations of clusters. IP assets can be stored relative to an IP asset library. In some examples, the IP asset library may include data associated with the IP asset and/or related to the corresponding IP asset, such as license data, and/or standard necessary patent data. The historical data may be stored relative to the user account and/or stored separately in a data repository. In some examples, the historical data may include historical data associated with entities, publications, IP assets, and/or user accounts. For example, the historical data may include data specific to the appointments associated with a particular entity and/or IP asset. Market data may include market data associated with entities, IP assets, technical fields, products and/or services, and/or standardized market data, and/or any other non-IP related data, etc.

As described above, the IP posture platform may include a posture component for generating a seed search query using user target data, identifying IP assets and/or entities determined to be similar to the target data, generating clusters of IP assets, and/or generating interactive graphical elements including spatial representations of the selected clusters. In some examples, a situation component may include one or more subcomponents. For example, the situation component can include a seeding component, a user interface generation component, and/or a clustering component. In some examples, the situation component may utilize one or more subcomponents to make a determination and/or generate data to be displayed on a user interface.

In some examples, the seeding assembly may include one or more subassemblies. For example, the seeding component can include a similarity component, a vector component, and/or a ranking component. The seeding component can utilize one or more sub-components to make determinations and/or generate data to be displayed on a user interface. Additionally or alternatively, the seeding component may be configured to generate seed search queries using user-specified target data. For example, a user may specify one or more target entities, one or more target publications, and/or one or more target products, which the seeding component may utilize to generate seed searches. In some examples, the seeding component may be configured to identify one or more target entities using data representing one or more target publications and/or one or more target products. The results of the seed search may include a list of entities having IP assets (e.g., IP portfolios) that the similarity component has determined include similarity to the target data.

In some examples, the similarity component may be configured to identify similarities between individual data. For example, given a target entity and/or a plurality of target entities having IP assets (e.g., IP portfolios), the similarity component can be configured to identify one or more additional entities having IP assets (e.g., IP portfolios) that are similar to the IP assets of the target entity. In some examples, the similarity component may be configured to identify an entity having an IP portfolio that is similar to an additional IP portfolio of additional entities. In some examples, the similarity component may compare words included in the text portion of the IP asset to determine whether the two individual IP assets are similar to each other. Additionally or alternatively, the situation component and/or similarity component can utilize any other word matching and/or file comparison technique to determine whether two separate IP assets are similar. Additionally or alternatively, the similarity component can utilize a vector representation of publications and/or entities to determine whether two separate IP assets and/or entities are similar to each other.

In some examples, the vector component may be configured to generate a vector representation of the publication and/or entity. For example, the vector component may be configured to generate a vector representation of the publication and use the vector representation to identify IP assets having similar vector representations. Techniques for generating vectors representing IP assets may include vectorization techniques, such as Doc2Vec or other similar techniques. Additionally or alternatively, techniques for generating vectors representing IP assets may include a method of retrieving a file, such as an IP asset, and converting it to vector form as a floating point list based at least in part on the text content of the file. This vector form may be referred to as embedding. Such embedding may be used to calculate the distance between files and thus the similarity. Additionally or alternatively, the vector component may be configured to generate a vector representation of an entity using a vector representation of an IP asset associated with the entity, such as the target entity and/or one or more additional entities. Techniques for generating vectors representing entities may include various vectorization techniques for generating vectors representing IP assets, and data may be aggregated to generate vectors representing entities associated with IP assets.

In some examples, the ranking component may be configured to rank results of the seed search, which may include a list of entities having IP assets that the similarity component has determined to include similarity to the target data. For example, the ranking component can compare the vector representations generated by the vector component to determine which entities are most similar to the target entity and rank the entities accordingly.

The user interface generation component may be configured to generate the user interface elements and/or user interface pages described above using data received from other components utilized by the system. In some examples, the user interface generating component may be communicatively coupled to other components stored on a computer-readable medium. In some examples, the user interface generation component may generate a user interface configured to present information associated with user items associated with a user account. Additionally or alternatively, the user interface generation component may generate a user interface that includes confidential information and may be configured to be accessed only by users that have a predetermined qualification. For example, the user interface generation component may cause only a portion of the information to be displayed based on the type of account being accessed to the system. For example, when a user accesses the system, the system may determine that the account type of the user's account for accessing the system may be one of, for example, a client user account and/or a management user account. In some examples, the user interface generation component may generate the interactive graphical element and/or a dynamic animation sequence associated with the interactive graphical element.

The clustering component may be configured to generate a result set comprising one or more IP asset clusters. In some examples, the clustering component may generate a plurality of result sets, including any number of clusters from 1-N, where N is any integer greater than 1. In some examples, the result sets may be associated with different levels of granularity. For example, a result set with 2 clusters may be less granular than a result set with 20 clusters. In some examples, the result set may be generated using the vector form described above, such as embedding. As described above, embedding may be used to calculate the distance between files and thus calculate the similarity. Embedding may also be used to create a theme group for a file. The topic group may be determined using a set of keywords determined after analyzing the text portion of the IP asset, and the result may be a visual display of groups of files (e.g., clusters) sharing similar topics. There may be some degree of supervision in the clustering process, which may allow some human control over which files are grouped into which clusters. Each result set may include a representation of the number of clusters included in the result set. In some examples, each cluster may include a representation of the number of IP assets included in the individual cluster and/or keywords associated with the individual cluster. The clusters need not include all IP assets associated with one or more selected entities, as some IP assets may be determined to be outliers and/or unassociated with the clusters and/or result sets.

In some examples, as described above, the result sets generated by the clustering component can be associated with different levels of granularity. In some examples, different levels of granularity may be achieved by assigning IP assets into clusters using various cluster-specific techniques, as described in more detail below. In some examples, the IP assets may be hard clustered in the event that the clustered allocation of the system is uncertain. Additionally or alternatively, IP assets with uncertain cluster assignments may be grouped with other IP assets with uncertain cluster assignments. Additionally or alternatively, for each IP asset, the probability that it belongs to each cluster may be calculated. In some examples, a vector may be generated to represent the probability that it belongs to each cluster. In some examples, the process may be repeated until the IP asset reaches a threshold probability of belonging to at least one cluster. Additionally or alternatively, the IP assets may be assigned to clusters where the IP assets have the highest probability of attribution. Additionally or alternatively, IP assets that do not belong to a cluster may include a very low probability of belonging to each cluster and may be identified as individual IP assets and/or may be identified as novel ones of the IP assets included in the cluster. Additionally or alternatively, user input may be provided to direct the assignment of IP assets into cluster groupings. In some examples, one or more models associated with the result set may be saved in association with the user account such that the saved models may be later applied to new IP assets that are considered for cluster allocation.

For example, users access the IP situational platform to interact with it, conduct research, and/or create new user projects. The situation component may be configured to receive data representing a user item. Additionally or alternatively, the situation component may be configured to receive data representing a research query unassociated with the item. It should be appreciated that the operations described herein may be associated with and/or performed independent of a user item. The user items may be created by and associated with a user account and/or one or more user accounts associated with the user account. The user items may be stored in association with user account data in a secure data store. In some examples, user items may be used to organize and/or separate seed searches, identified similar IP assets and/or entities, and/or generated clusters. In some examples, a user may utilize a seeding component to generate a seed search, generate one or more result sets comprising IP asset clusters, and/or generate a spatial representation of one or more clusters.

In some examples, the seeding component may be configured to receive data representing a seed search query and may perform search operations in a variety of ways. The seed search query may include one or more instances of the target data, as described in more detail below. In some examples, the seed search query may indicate an identification of one or more target entities. Additionally or alternatively, the seed search query may indicate an identification of one or more target publications, such as IP assets. Additionally or alternatively, the seed search query may indicate an identification of one or more target products and/or services. In some examples, the IP posture platform may be configured to receive additional data associated with the seed search query. For example, the seeding component may be configured to receive additional data via one or more actionable elements included on a Graphical User Interface (GUI) that is presented on the computing device and accessible to the user account. Additionally or alternatively, the seeding component can be configured to utilize data representing a seed search query to make various identifications and determinations, etc., associated with IP assets and/or entities.

In some examples, the seed search query may indicate an identification of one or more target entities, and the seeding component may utilize the data to identify IP assets associated with the target entities. In some examples, the seeding component may access one or more databases that include a list of all available IP assets (e.g., IP portfolios) associated with the target entity. Additionally or alternatively, the seeding component can generate a result set that includes IP assets having an assignee associated with the entity.

Additionally or alternatively, the seed search query may indicate an identification of one or more target publications, and the similarity component may utilize data representing the seed search query to identify IP assets (or IP portfolios) that are determined to be similar to the target publications. The similarity component can identify similar IP assets using various techniques. For example, the vector component can generate a vector representation of the target publication and use the vector representation to identify IP assets having similar vector representations. Techniques for generating vectors representing IP assets may include vectorization techniques, such as Doc2Vec or other similar techniques. Additionally or alternatively, techniques for generating vectors representing IP assets may include a method of retrieving a file, such as an IP asset, and converting it to vector form as a floating point list based at least in part on the text content of the file. This vector form may be referred to as embedding. Such embedding may be used to calculate the distance between files and thus the similarity. Each of the IP assets can be associated with an entity, and the seeding component can identify a target entity from one or more entities associated with similar IP assets. In some examples, the seeding component may identify a first entity of the one or more entities as the target entity based on the first entity having a number of IP assets that meets a threshold number. Additionally or alternatively, the seeding component can identify a first entity of the one or more entities as the target entity based on the first entity having a more favorable number of IP assets than the one or more additional entities. For example, if the first entity has more IP assets than other entities, the seeding component may determine that the first entity has a more favorable number of IP assets and select the first entity as the target entity.

Additionally or alternatively, the seed search query may indicate an identification of one or more target products and/or services, and the similarity component may utilize data representing the seed search query to identify IP assets determined to be similar to the target products and/or services. The similarity component can identify similar IP assets using various techniques. For example, the similarity component can identify a technical feature associated with a target product and can identify IP assets associated with the product and/or service as similar IP assets based on the technical feature. Each of the similar IP assets can be associated with an entity, and the similarity component can identify a target entity from one or more entities associated with the similar IP asset. In some examples, the seeding component may identify a first entity of the one or more entities as the target entity based on the first entity having a number of IP assets that meets a threshold number. Additionally or alternatively, the seeding component can identify a first entity of the one or more entities as the target entity based on the first entity having a more favorable number of IP assets than the one or more additional entities. For example, if the first entity has more IP assets than other entities, the seeding component may determine that the first entity has a more favorable number of IP assets and select the first entity as the target entity.

Once the posture component identifies one or more target entities (also referred to as target entities), the posture component can identify or collect all IP assets associated with the target entities. With the target entity and associated IP assets, the posture component and/or the similarity component can be configured to identify additional entities having IP assets similar to the IP assets of the target entity. For example, the situation component and/or vector component can utilize the techniques described supra to generate a vector representing an IP asset to determine whether two separate IP assets are similar. Additionally or alternatively, the situation component and/or similarity component can utilize any other word matching and/or file comparison technique to determine whether two separate IP assets are similar. The posture component and/or the similarity component can then identify one or more additional entities having IP assets determined to be similar to the IP asset of the target entity.

The situation component and/or the vector component can then generate a vector representation of the target entity and/or one or more additional entities. For example, the posture component may be configured to generate a vector representation of an entity using a vector representation of individual IP assets associated with the entity, e.g., a target entity and/or one or more additional entities. Techniques for generating vectors representing entities may include various vectorization techniques for generating vectors representing IP assets, and data may be aggregated to generate vectors representing entities associated with IP assets.

Once the posture component has identified the target entity, one or more additional entities having IP assets determined to be similar to the IP assets of the target entity, and a vector representation of the target entity and/or one or more additional entities, the posture component and/or ranking component can determine a ranking of the one or more additional entities to generate seed search results. In some examples, the ranking may be configured to rank the first entity higher than a second entity of the one or more additional entities if it is determined that the first entity has an IP asset more similar to the IP asset of the target entity. Additionally or alternatively, the ranking may be configured to rank the first entity higher than a second entity of the one or more additional entities if the first entity has a more favorable vector representation than the second entity. For example, if it is determined that the first vector representation is closer to the vector representation of the target entity than the second vector representation, then it may be determined that the first vector representation of the first entity is more advantageous than the second vector representation of the second entity.

As described above, the situation component and/or user interface generation component can generate one or more Graphical User Interfaces (GUIs) for presenting information on a computing device accessible to a user account. In some examples, the IP posture platform may generate a user interface for presenting seed search results. The GUI may be configured to receive one or more inputs from the computing device. In some examples, the GUI may receive input representing a selection of at least one of the one or more additional entities included in the seed search result as one or more selected entities. In some examples, the situation component and/or the user interface generation component may be configured to generate any of the user interfaces described above.

In some examples, the situation component and/or the clustering component can utilize seed search results to generate one or more result sets comprising IP asset clusters. For example, the posture component can generate data representing one or more result sets based at least in part on IP assets associated with one or more selected entities. In some examples, the one or more result sets may include one or more IP asset clusters associated with the one or more selected entities. The result set may include any number of clusters from 1 to N, where N is any integer greater than 1. In some examples, the result sets may be associated with different levels of granularity. For example, a result set with 2 clusters may be less granular than a result set with 20 clusters. In some examples, the result set may be generated using the vector form described above, such as embedding. As described above, embedding may be used to calculate the distance between files and thus calculate the similarity. Embedding may also be used to create a theme group for a file. The topic group may be determined using a set of keywords determined after analyzing the text portion of the IP asset, and the result may be a visual display of groups of files (e.g., clusters) sharing similar topics. There may be some degree of supervision in the clustering process, which may allow some human control over which files are grouped into which clusters. Each result set may include a representation of the number of clusters included in the result set. In some examples, each cluster may include a representation of the number of IP assets included in the individual cluster and/or keywords associated with the individual cluster. The clusters need not include all IP assets associated with one or more selected entities, as some IP assets may be determined to be outliers and/or unassociated with the clusters and/or result sets.

Additionally or alternatively, the situation component and/or the user interface generation component may be configured to generate one or more GUIs for presenting the clustering results. In some examples, the GUI may be configured to receive one or more user inputs associated with the clustering results. In some examples, the GUI may receive input representing a selection of a result set of one or more result sets and may present a cluster associated with the selected result set. Additionally or alternatively, the GUI may receive input representing a user-specified cluster name. Additionally or alternatively, the GUI may receive input representing a request to generate an interactive graphical element comprising a spatial representation of one or more clusters of the selected result set.

In some examples, the situation component and/or the user interface generation component can generate an interactive graphical element that includes a spatial representation of one or more clusters included in the selected result set. For example, the situation component may generate interactive graphical elements for presentation on a GUI. In some examples, the situation component may include a graphical indicator that represents individual IP assets included in one or more clusters of the selected result set. In some examples, the graphical indicators may be color coded such that IP assets included in a first cluster of the result set may be represented by a graphical indicator having a first color and IP assets included in a second cluster of the result set may be represented by a graphical indicator having a second color different from the first color. Additionally or alternatively, the graphical indicators may be represented as dots of different sizes, representing the overall score and/or overall relevance of the IP asset relative to other IP assets included in the result set. In some examples, the interactive graphical element may present one or more keywords associated with the cluster on the IP asset space representation of the central portion of the associated cluster.

As described above, the IP posture platform may include an exposure evaluation component for evaluating exposure levels associated with target entities, determining whether the target entities are eligible for insurance coverage, generating insurance quotes, and/or changing premiums. In some examples, the exposure evaluation component may be configured to determine an exposure level or risk associated with individual clusters included in the result set. For example, the exposure evaluation component can identify products and/or services provided by an entity based on keywords associated with a particular cluster of IP assets associated with the entity, determine revenue amounts associated with the products and/or services, and can determine exposure levels associated with the particular cluster based on the number of IP assets included in the cluster and/or the revenue amounts associated with the products and/or services. For example, if an entity has a large amount of revenue associated with a product and/or service and the number of IP assets included in a cluster having keywords mapped to or associated with the product and/or service is small, the exposure evaluation component may determine that the cluster has a high level of exposure. Additionally or alternatively, the exposure evaluation component can be configured to determine a level of exposure or risk associated with the entity. For example, the exposure evaluation component can identify an exposure level associated with a result set and/or cluster associated with an entity and can aggregate data indicative of the exposure level associated with the result set and/or cluster to determine an overall exposure level of the entity. In some examples, the exposure evaluation component can be used in conjunction with any of the components described above. Additionally or alternatively, the exposure evaluation component can determine and/or generate data to be displayed on the user interface.

In some examples, the exposure evaluation component can be configured to evaluate the target using at least some of the techniques described above to determine a level of exposure associated with the target entity. For example, the exposure evaluation component can receive input representing an identification of a target entity having an IP asset. The exposure evaluation component and/or situation component can then generate data representing one or more result sets of the IP asset. In some examples, the one or more result sets may include one or more IP asset clusters. In some examples, one or more result sets may include clusters corresponding to products and/or services provided by the target entity, and thus one or more result sets may have different levels of granularity, as described above. For example, the result set may be generated using the vector form described above, such as embedding. As described above, embedding may be used to calculate the distance between files and thus calculate the similarity. Embedding may also be used to create a theme group for a file. The topic group may be determined using a set of keywords determined after analyzing the text portion of the IP asset, and the result may be a visual display of groups of files (e.g., clusters) sharing similar topics. Each cluster may include at least one of a number of IP assets included in the cluster and/or a number of keyword sets associated with the cluster.

The exposure evaluation component can then perform various operations on each cluster to evaluate the exposure of the target entity. For example, the exposure evaluation component can be in communication with the situation component and can identify, for each cluster, a product or service provided by the first entity based on a set of keywords associated with the respective cluster. The exposure evaluation component can then determine, for each cluster, a revenue amount associated with the identified product or service. For example, the exposure evaluation component can determine an amount of funds allocated to a product or service and/or determine an amount of revenue generated by a product or service provided by a target entity. In some examples, the exposure evaluation component may determine, for each cluster, a first exposure level based on a number of IP assets mapped to the product or service provided by the target entity and/or a revenue amount associated with the product or service provided by the target entity. For example, a cluster associated with a product or service provided by an entity that has a higher revenue associated with the product or service, but a smaller number of IP assets included in the cluster may have a high exposure level, representing a high risk of the cluster due to the high revenue and a low number of IP assets mapped to the product or service.

The exposure evaluation component can then determine a second exposure level associated with the target entity. In some examples, the second exposure level may represent an aggregated exposure level based on a first exposure level associated with each cluster included in the selected result set. That is, the second exposure level may be an average of the first exposure levels associated with each cluster included in the selected result set. Additionally or alternatively, the second exposure level may be determined using any other algorithm configured to aggregate multiple scores determined on the same scoring scale. As described above, the exposure evaluation component can communicate with the user interface generation component to generate one or more GUIs to present clusters on a computing device accessible to a user account. Additionally or alternatively, the user interface generation component can generate interactive graphical elements utilizing the techniques described above to present a spatial representation of the clustering results on one or more GUIs.

The present disclosure provides a thorough understanding of the principles of structure, function, manufacture, and use of the systems and methods disclosed herein. One or more examples of the present disclosure are illustrated in the accompanying drawings. Those skilled in the art will understand that the systems and methods specifically described herein and illustrated in the accompanying drawings are non-limiting embodiments. The features illustrated or described in connection with one embodiment may be combined with the features of other embodiments, including between systems and methods. Such modifications and variations are intended to be included within the scope of the appended claims.

Additional details are described below with reference to several example embodiments.

Fig. 1 shows a schematic diagram of an example environment 100 of an IP posture platform architecture. Architecture 100 may include, for example, one or more user devices 102 (a) - (c), also described herein as electronic devices 102 (a) - (c), and/or remote computing resources 104 associated with a vendor management platform. Some or all of the devices and systems may be configured to communicate with each other via the network 106.

The electronic device 102 may include components such as one or more processors 108, one or more network interfaces 110, and/or a computer-readable medium 112. The computer-readable medium 112 may include components, such as one or more user interfaces 114. As shown in fig. 1, electronic device 102 may include, for example, a computing device, a mobile phone, a tablet, a notebook, and/or one or more servers. The components of the electronic device 102 will be described below by way of example. It should be understood that the examples provided herein are illustrative and should not be considered as exclusive examples of the components of the electronic device 102.

For example, the user interfaces 114 may include one or more user interfaces described elsewhere herein, such as those described with respect to fig. 3-11, corresponding to item user interfaces, search view item user interfaces, similarity view item user interfaces, publication search user interfaces, entity search user interfaces, similar publication user interfaces, similar entity user interfaces, cluster result user interfaces, and/or cluster panel user interfaces, among others. It should be appreciated that while the user interface 114 is depicted as a component of the computer-readable medium 112 of the electronic devices 102 (a) - (c), the user interface 114 may additionally or alternatively be associated with the remote computing resource 104. User interface 114 may be configured to display information associated with the IP situational platform and to receive user input associated with the IP situational platform.

The remote computing resources 104 may include one or more components, such as one or more processors 116, one or more network interfaces 118, and/or a computer-readable medium 120. The computer-readable medium 120 can include one or more components, such as a situation component 122, an exposure evaluation component 124, and/or one or more data stores 126. The posture component 122 can be configured to receive user input data as described herein for indicating target data representing at least one of an entity, publication, and/or product for generating seed search queries that utilize the target data to determine a representative entity and return results comprising one or more entities having IP assets determined to be similar to the IP assets of the representative entity. The situation component 122 may also be configured to generate a vector representation of the entity and/or IP asset such that the situation component 122 may rank the results from the search query by utilizing the vector representation. The situation component 122 can also be configured to utilize the vector representation of the entity to generate a result set that includes a cluster of selected entities associated with a technical field of interest, a product or technology, or the like. The situation component 122 may also be configured to generate an interactive graphical element, which may be configured to present a spatial representation of one or more clusters included in the selected result set in response to various user inputs to the interactive graphical element representing manipulations.

The exposure evaluation component 124 can be configured to determine exposure levels associated with a target entity by performing one or more clustering techniques described herein to generate result sets of different granularity levels that include one or more clusters that can be mapped to various products and/or services provided by the target entity. The exposure evaluation component 124 can be configured to determine a first exposure level associated with each cluster of the result set based on the plurality of IP assets included in the particular cluster and the revenue amount associated with the product or service provided by the target entity associated with the particular cluster. The exposure evaluation component 124 may be configured to determine a second exposure level associated with the target entity based on the first exposure level associated with each cluster included in the selected result set. The exposure evaluation component 124 can be configured to generate an interactive graphical element comprising a spatial representation of clusters included in the selected result set.

The data repository 126 of the remote computing resources 104 may include data corresponding to user accounts, user items, historical data, and/or intellectual property assets. The user items may include, for example, seed search queries, similar entity and/or publication results, clustered results, and/or spatial representations of clustered results. The user items may be stored with respect to a user account of the data repository 126. The IP assets may be stored relative to an IP asset library of the data repository 126.

As shown in fig. 2, several components of the remote computing resource 104 and/or the electronic device 102, and associated functions of those components as described herein, may be performed by one or more other systems and/or by the electronic device 102. Additionally or alternatively, some or all of the components and/or functions associated with the electronic device 102 may be performed by the remote computing resource 104.

It should be noted that the data and/or information exchange described herein can only be performed if the user agrees to exchange such information. For example, the user may be provided with an opportunity to opt-in and/or opt-out of data exchange between devices and/or with a remote system and/or perform the functions described herein. Additionally, when one device is associated with a first user account and another device is associated with a second user account, user consent may be obtained prior to performing some, any, or all of the executions and/or processes described herein.

As used herein, a processor, such as processors 108 and/or 116, may include multiple processors and/or processors with multiple cores. Further, the processor may include one or more cores of different types. For example, the processor may include an application processor unit, a graphics processing unit, and the like. In one embodiment, the processor may include a microcontroller and/or a microprocessor. The processors 108 and/or 116 may include a Graphics Processing Unit (GPU), microprocessor, digital signal processor, or other processing unit or component known in the art. Alternatively or additionally, the functions described herein may be performed, at least in part, by one or more hardware logic components. For example, but not limited to, illustrative types of hardware logic components that may be used include Field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system-on-a-Chip Systems (SOCs), complex Programmable Logic Devices (CPLDs), and the like. Further, each processor 108 and/or 116 may have its own local memory, which may also store program components, program data, and/or one or more operating systems.

Computer-readable media 112 and/or 120 may include volatile and nonvolatile memory, removable and non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program components, or other data. Such computer-readable media 112 and/or 120 include, but are not limited to, RAM, ROM, EEPROM, flash memory or other storage technology, CD-ROM, digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, RAID storage systems, or any other medium which can be used to store the desired information and which can be accessed by a computing device. Computer-readable media 112 and/or 120 may be implemented as a computer-readable storage medium ("CRSM") which may be any available physical medium that can be accessed by processor 108 and/or 116 to execute instructions stored on computer-readable media 112 and/or 120. In one basic implementation, the CRSM may include random access memory ("RAM") and flash memory. In other embodiments, the CRSM may include, but is not limited to, read only memory ("ROM"), electrically erasable programmable read only memory ("EEPROM"), or any other tangible medium that can be used to store the desired information and that can be accessed by a processor.

Further, the functional components may be stored in an individual memory, or the same functions may alternatively be implemented in hardware, firmware, application specific integrated circuits, field programmable gate arrays, or as a system on a chip (SoC). Further, although not shown, the individual memories discussed herein, such as computer-readable media 112 and/or 120, may include at least one Operating System (OS) component configured to manage hardware resource devices, such as network interfaces, I/O devices of individual devices, etc., and provide various services to applications or components executing on the processor. Such an OS component may implement a variant of the FreeBSD operating system published by the FreeBSD project; other UNIX or UNIX-like variants; variants of the Linux operating system published by Linus Torvalds; the FireOS operating system of Amazon, seattle, washington, U.S.; windows operating system from Microsoft corporation of Redmond, washington, U.S.A.; lynxOS promulgated by Lynx Software Technologies, inc. An embedded operating system (ena OSE) issued by ena AB in sweden; etc.

Network interfaces 110 and/or 118 can enable messages between components and/or devices shown in system 100 and/or with one or more other remote systems and other networked devices. Such network interfaces 110 and/or 118 may include one or more Network Interface Controllers (NICs) or other types of transceiver devices to send and receive messages over the network 106.

For example, each of network interfaces 110 and/or 118 can include a Personal Area Network (PAN) component to enable messages on one or more short-range wireless message channels. For example, the PAN component may enable messages that conform to at least one of the following standards IEEE 802.15.4 (ZigBee), IEEE 802.15.1 (bluetooth), IEEE 802.11 (WiFi), or any other PAN message protocol. Further, each of network interfaces 110 and/or 118 can include a Wide Area Network (WAN) component to enable messages on the wide area network.

In some cases, the remote computing resource 104 may be local to an environment associated with the electronic device 102. For example, the remote computing resource 104 may be located within the electronic device 102. In some cases, some or all of the functionality of the remote computing resource 104 may be performed by the electronic device 102. Further, while various components of remote computing resource 104 have been labeled and named throughout this disclosure, and each component has been described as being configured to cause processors 108 and/or 116 to perform certain operations, it should be understood that the described operations may be performed by some or all of the components and/or other components not specifically shown.

FIG. 2 illustrates components of an example component 100 of a remote computing resource 104 of a vendor management platform. The remote computing resources 104 may include one or more components, such as one or more processors 116, one or more network interfaces 118, and/or a computer-readable medium 120. The computer-readable medium may include one or more components, such as a situation component 122, an exposure evaluation component 124, and/or one or more data stores 126. Some or all of the components and functions may be configured to communicate with each other.

Data repository 126 may include data corresponding to user accounts 202, projects 204, intellectual Property (IP) assets 206 (1) - (N), historical data 208, saved results 224 from previous interactions of user accounts with the IP situational platform, and/or market data 226. Items 204 may include, for example, seed search queries, similarity results, cluster results, and/or spatial representations of clusters. Items 204 may be stored relative to user account 202. Additionally or alternatively, the saved results 224 may include, for example, seed search queries, similarity results, clustered results, and/or spatial representations of clusters. IP assets 206 (1) - (N) may be stored relative to IP asset library 210. In some examples, the IP asset library 210 may include data associated with IP assets and/or related to corresponding IP assets, such as license data and/or standard necessary patent data. The historical data 208 may be stored in the data repository 126 relative to the user account 202 and/or stored separately in the data repository 126. In some examples, the historical data 208 may include historical data associated with the entity, publications, IP assets 206, and/or user accounts 202. For example, the historical data 208 may include data specific to consolidated acquisitions associated with a particular entity and/or IP asset 206. Market data 226 may include market data associated with entities, IP assets 206, technical fields, products and/or services, standardized market data, and/or any other non-IP related data, etc.

As described with respect to fig. 1, the posture component 122 may be configured to receive user input data as described herein for indicating target data representing at least one of an entity, publication, and/or product for generating seed search queries that utilize the target data to determine a representative entity and return results comprising one or more entities having IP assets determined to be similar to the IP assets of the representative entity. The situation component 122 may also be configured to generate a vector representation of the entity and/or IP asset such that the situation component 122 may rank the results from the search query by utilizing the vector representation. The situation component 122 can also be configured to generate a result set utilizing the vector representations of the entities, including clusters of selected entities associated with a technical field, product, or technology of interest, or the like. The situation component 122 may also be configured to generate an interactive graphical element, which may be configured to present a spatial representation of one or more clusters included in the selected result set in response to various user inputs representing manipulation of the interactive graphical element. The situation component 122 can include one or more components, such as a seeding component 212, a user interface generation component 214, and/or a clustering component 216. Additionally or alternatively, the situation component 122 may be configured to perform operations described below with respect to one or more components.

Seeding component 212 can include one or more components, such as a similarity component 218, a vector component 220, and/or a ranking component 222. Seeding component 212 may be configured to generate seed search queries using user-specified target data. For example, the user may specify a target entity, a target publication, and/or a target product, and seeding component 212 may generate a seed search using the foregoing. In some examples, seeding component 212 may be configured to identify the target entity using data representing the target publication and/or the target product. The results of the seed search may include a list of entities having IP assets that the similarity component 218 has determined to include similarity to the target data. Additionally or alternatively, seeding component 212 may be configured to perform operations described below with respect to one or more components.

The similarity component 218 may be configured to identify similarities between individual data. For example, given a target entity and/or multiple target entities having an IP asset (e.g., an IP portfolio), the similarity component can be configured to identify one or more additional entities having an IP asset (e.g., an IP portfolio) that is similar to the IP asset of the target entity. In some examples, the similarity component 218 may be configured to identify entities having an IP portfolio that is similar to additional IP portfolios of additional entities. In some examples, the similarity component 218 may compare words included in the text portion of the IP asset to determine whether two separate IP assets are similar to each other. Additionally or alternatively, the similarity component 218 can utilize any other word matching and/or file comparison technique to determine whether two separate IP assets are similar. Additionally or alternatively, the similarity component 218 can utilize a vector representation of publications and/or entities to determine whether two separate IP assets and/or entities are similar to each other.

Vector component 220 may be configured to generate a vector representation of the publication and/or entity. For example, the vector component 220 may be configured to generate a vector representation of a publication that may be used to identify IP assets having similar vector representations. Techniques for generating vectors representing IP assets may include vectorization techniques, such as Doc2Vec or other similar techniques. Additionally or alternatively, techniques for generating vectors representing IP assets may include a method of retrieving a file, such as an IP asset, and converting it to vector form as a floating point list based at least in part on the text content of the file. This vector form may be referred to as embedding. Such embedding may be used to calculate the distance between files and thus the similarity. Additionally or alternatively, vector component 220 may be configured to generate a vector representation of an entity using vector representations of IP assets associated with the entity, e.g., a target entity and/or one or more additional entities. Techniques for generating vectors representing entities may include various vectorization techniques for generating vectors representing IP assets, and data may be aggregated to generate vectors representing entities associated with IP assets.

Ranking component 222 can be configured to rank the results of the seed search, which can include a list of entities having IP assets that the similarity component 218 has determined include similarity to the target data. For example, the ranking component 222 can compare the vector representations generated by the vector component 220 to determine which entities are most similar to the target entity and rank the entities accordingly. Additionally or alternatively, the ranking component 222 can be in communication with the user interface generation component 214 and can cause the GUI to display the results of the seed search according to a ranking manner determined by the ranking component 222.

The user interface generation component 214 may be configured to generate user interface elements, windows, pages, and/or views described below with respect to fig. 3-11 using data received from other components utilized by the IP posture platform. In some examples, user interface generation component 214 may be communicatively coupled to other components stored on computer-readable medium 120. In some examples, user interface generation component 214 may generate a user interface configured to present information associated with user account data 202, item data 204, and/or saved results 224. Additionally or alternatively, the user interface generation component 214 can generate a user interface that includes confidential information and can be configured to be accessible only by users having a predetermined qualification. For example, the user interface generation component 214 may cause only a portion of the information to be displayed based on the type of account that is accessing the platform. For example, when a user accesses the system, the user interface generation component 214 may determine that the account type of the account that the user has used to access the system may be, for example, one of an internal user and/or an external user, and may include only a portion of the information associated with the account type to be displayed. In some examples, the user interface generation component 214 may generate a notification that is sent to the user account.

The clustering component 216 can be configured to generate a result set comprising one or more IP asset clusters. In some examples, the clustering component 216 may generate multiple result sets, including any number of clusters from 1-N, where N is any integer greater than 1. In some examples, the result sets may be associated with different levels of granularity. For example, a result set with 2 clusters may be less granular than a result set with 20 clusters. In some examples, the clustering component 216 may generate the result set 216 using the vector form described above, e.g., embedding. As described above, embedding may be used to calculate the distance between files and thus calculate the similarity. The clustering component 216 can also utilize embedding to create a topic group of a file. The topic group may be determined using a set of keywords determined after analyzing the text portion of the IP asset, and the result may be a visual display of groups of files (e.g., clusters) sharing similar topics. There may be some degree of supervision in the clustering process, which may allow some human control over which files are grouped into which clusters. Each result set may include a representation of the number of clusters included in the result set. In some examples, each cluster may include a representation of the number of IP assets included in the individual cluster and/or keywords associated with the individual cluster. The clusters need not include all IP assets associated with one or more selected entities, as some IP assets may be determined to be outliers and/or unassociated with the clusters and/or result sets.

In some examples, as described above, the result sets generated by the clustering component 216 can be associated with different levels of granularity. In some examples, different levels of granularity may be achieved by assigning IP assets into clusters using various cluster-specific techniques, as described in more detail below. In some examples, the IP assets may be hard clustered in the event that the clustered allocation of the system is uncertain. Additionally or alternatively, IP assets with uncertain cluster assignments may be grouped with other IP assets with uncertain cluster assignments. Additionally or alternatively, for each IP asset, the probability that it belongs to each cluster may be calculated. In some examples, a vector may be generated to represent the probability that it belongs to each cluster. In some examples, the process may be repeated until the IP asset reaches a threshold probability of belonging to at least one cluster. Additionally or alternatively, the IP assets may be assigned to clusters where the IP assets have the highest probability of attribution. Additionally or alternatively, IP assets that do not belong to a cluster may include a very low probability of belonging to each cluster and may be identified as isolated IP assets and/or may be identified as novel ones of the IP assets included in the cluster. Additionally or alternatively, user input may be provided to direct the assignment of IP assets into cluster groupings. In some examples, one or more models associated with the result set may be saved in association with the user account such that the saved models may be later applied to new IP assets that are considered for cluster allocation.

The situation component 122 may also be configured to receive input data representing user input indicative of an identity of the target entity. In some examples, the posture component 122 may also be configured to identify one or more IP assets 206 associated with the target entity. For example, the posture component 122 can be configured to identify the IP asset 206 in the IP asset library 210 that is associated with the target entity. Additionally or alternatively, the situation component 122 may also be configured to receive input data representing user input representing an identification of a target publication, such as the target IP asset 206. In some examples, the situation component 122 may be configured to identify the target entity based on the target publication. In some examples, the situation component 122 and/or the similarity component 218 may be configured to identify one or more entities having IP assets similar to the target publication as target entities. For example, the posture component 122 can determine that the target entity has a plurality of IP assets that meet a threshold number of IP assets. Additionally or alternatively, the situation component 122 and/or the similarity component 218 can be configured to identify as targets one or more entities having a set of IP assets that are similar to the set of IP assets associated with the one or more additional entities. For example, the posture component 122 may be configured to compare a first IP portfolio of a first entity with a second IP portfolio of a second entity and/or additional IP portfolios of additional entities. Additionally or alternatively, the posture component 122 can be configured to determine that the target entity has a plurality of IP assets that are determined to be more advantageous than the plurality of IP assets associated with the additional entity. Additionally or alternatively, the situation component 122 may also be configured to receive input data representing user input indicating an identification of the target product and/or service. In some examples, the situation component 122 may be configured to identify a technical classification of the target product and may identify one or more entities having IP assets associated with the technical classification of the target product as target entities. Additionally or alternatively, the situation component 122 can identify the target entity using any of the techniques described above.

The situation component 122 may also be configured to identify IP assets that are determined to be foreign IP assets and/or design IP assets, and may remove foreign and/or design IP assets from the result set generated by the clustering component 216. Additionally or alternatively, the situation component 122 may also be configured to determine a score associated with the result set and/or cluster of IP assets. For example, the situation component 122 can generate a first score for a first result set of the IP asset based on comparing keywords associated with the first result set with keywords associated with additional result sets.

As described above with respect to fig. 1, the exposure evaluation component 124 can be configured to evaluate exposure levels associated with a target entity and/or one or more additional entities, determine eligibility for insurance coverage associated with the target entity and/or one or more additional entities, generate insurance quotes, and/or change premiums. In some examples, the exposure evaluation component 124 may be configured to determine a level of exposure or risk associated with the individual clusters included in the result set. For example, the exposure evaluation component 124 can utilize the market data 226 to identify products and/or services provided by an entity based on keywords associated with a particular cluster of IP assets associated with the entity, determine revenue amounts associated with the products and/or services, and can determine exposure levels associated with the particular cluster based on the number of IP assets included in the cluster and/or the revenue amounts associated with the products and/or services. For example, if an entity has a large amount of revenue associated with a product and/or service and the number of IP assets included in a cluster having keywords mapped to or associated with the product and/or service is small, the exposure evaluation component 124 can determine that the cluster has a high level of exposure. Additionally or alternatively, the exposure evaluation component 124 can be configured to determine an exposure level or risk associated with the entity. For example, the exposure evaluation component 124 can identify exposure levels associated with result sets and/or clusters associated with the entities and can aggregate data representing the exposure levels associated with the result sets and/or clusters to determine an overall exposure level of the entities. In some examples, the exposure evaluation component 124 can be used in conjunction with any of the components described above. Additionally or alternatively, the exposure evaluation component 124 can determine and/or generate data to be displayed on the user interface.

Exposure evaluation component 124 can also be configured to utilize IP asset library 210, historical data 208, and/or market data 226 to determine whether an IP asset is associated with litigation disputes. For example, exposure evaluation component 124 can identify prior litigation disputes that directly and/or indirectly relate to an IP asset, such as a reference to the IP asset. In some examples, exposure evaluation component 124 can be configured to generate an exportable file that includes a list of particular IP assets associated with a particular litigation dispute. Additionally or alternatively, the exportable file may include information associated with litigation disputes for individual IP assets included in the list.

The exposure evaluation component 124 may also be configured to determine an insurance group associated with an entity based on the exposure level associated with the entity and may cause the user interface to display a representation of the insurance group and an insurance amount associated with the insurance group. Additionally or alternatively, the exposure evaluation component 124 can be configured to utilize the historical data 208 and/or the market data 226 in the data repository 126 and/or can identify historical data associated with the entity to identify trends associated with the entity and/or adjust exposure levels of the entity. For example, the exposure evaluation component 124 can increase or decrease the exposure level associated with an entity based on the historical data 208 and/or the market data 226. In some examples, the exposure evaluation component 124 can identify one or more trends associated with the entity. For example, the trend may indicate a change in revenue amounts associated with products and/or services provided by the entity over a period of time. Additionally or alternatively, the trend may indicate a change in the number of IP assets associated with the product and/or service provided by the entity over a period of time. In some examples, the exposure evaluation component 124 may be configured to utilize the trends to determine a rate of change that represents a rate of change associated with one trend relative to a rate of change associated with another trend. Additionally or alternatively, the exposure evaluation component 124 can be configured to determine a level of exposure associated with the entity based on one or more trends and/or change ratios.

The exposure evaluation component 124 can also be configured to generate a spatial representation of the result set and/or cluster associated with a particular entity using the situation component 122 and/or one or more components included therein to visualize the exposure level associated with the entity. For example, the exposure evaluation component 124 can identify clusters associated with high exposure levels and/or low exposure levels and provide a graphical representation that is superimposed over a spatial representation of the clusters. Additionally or alternatively, the exposure evaluation component 124 can also be configured to utilize the market data 226 and/or the historical data 208 to identify coverage gaps between clusters associated with the entity. In some examples, the coverage gap may be associated with a technical field and/or a keyword. For example, the coverage gap may be closest to the IP assets included in the surrounding clusters, and the exposure evaluation component 124 may be configured to generate keywords based on words included in text portions of the closest IP assets included in the surrounding clusters.

Fig. 3-11 illustrate conceptual diagrams of example user interfaces 300-1100 that may receive user input and utilize an IP posture platform to perform various operations described above with respect to fig. 1 and 2 and/or various operations described below with respect to fig. 12-19. The user interfaces 300-1100 may be generated by the user interface generation component 214 described above with respect to fig. 2. The user interfaces 300-1100 may be displayed on a display of an electronic device associated with a user account, such as the electronic device 102 described above with respect to fig. 1. Although the example user interface 300-1100 is illustrated in fig. 3-11, the user interface 300-1100 is not intended to be construed as limiting, and the user interface 300-1100 may be configured to present any of the data described herein.

FIG. 3 illustrates an example user interface 300 configured to present data associated with a user account that represents a user-created IP situational study, an item, and/or an item associated with the user account. The data may be presented using the item list window 302. Additionally or alternatively, the user interface 300 may include an item filter indicator 304 that represents the current item being presented in an item list window 302 on the user interface 300. Additionally or alternatively, the user interface 300 may include an add item element 306. The user interface 300 may be displayed on a display of an electronic device associated with a user account, such as the electronic device 102 described above with respect to fig. 1.

In some examples, the item list window 302 may include a list of items associated with the customer account. For example, the items list window 302 may include items created by user accounts, items created by additional user accounts associated with user accounts (i.e., user accounts associated with similar entities), and/or fixed items (i.e., items that have been saved by user accounts). In some examples, the list of items may be presented using separate cells for each item. In some examples, each cell may include a representation of an item name, a description of the item, a representation of a user account creating the item, a representation of an item creation date, and one or more actionable elements associated with the item. In some examples, the one or more actionable elements may include a fixed item element, a duplicate item element, an edit item element, and/or a delete item element. Additionally or alternatively, each cell may be executable such that when an item is selected, the user interface may be caused to display a selected item page corresponding to the selected item.

In some examples, the item filter indicator 304 may be configured such that when selected, the item list window 302 displays a list of items corresponding to the selected item filter indicator 304. For example, the "all" item filter indicator 304 may cause the item list window 302 to display an item list including all items, the "My" item filter indicator 304 may cause the item list window 302 to display an item list including items created by a user, and/or the "pinned" item filter indicator 304 may cause the item list window 302 to display an item list including items that have been pinned by the user.

In some examples, the add item element 306 may be configured such that when selected, the user interface presents a window configured to receive user input required to create a new item.

Fig. 4A-4C illustrate an example user interface 400 for displaying data associated with a user account that represents information associated with a selected IP situational project. The user interface 400 may present various windows for displaying partial information associated with a selected IP posture item, corresponding to an item partial filter indicator 402 representing the current portion of the selected item being presented on the user interface 400. The user interface 400 may be displayed on a display of an electronic device associated with a user account, such as the electronic device 102 described above with respect to fig. 1.

In some examples, the item portion filter indicator 402 may indicate a current portion of a selected item being displayed on the user interface 400. For example, the project section filter indicator 402 may include one or more filters, such as, search filters, similarity filters, and/or cluster filters. In some examples, the search filter of the item portion filter indicator 402 may cause the user interface to display a search listing window 404 when selected. Additionally or alternatively, the user interface may be caused to display a similarity list window 412 when the similarity filter of the project section filter indicator 402 is selected. Additionally or alternatively, the user interface may be caused to display a cluster list window 422 when the cluster filter of the item portion filter indicator 402 is selected.

Fig. 4A illustrates an example user interface 400 for displaying data associated with a user account, the data representing a selected IP posture item. The data may be presented using a search listing window 404. Additionally or alternatively, the user interface 400 may include an item portion filter indicator 402 that represents a current portion of a selected item being presented on the user interface 400, such as a search listing window 404 of the selected item. Additionally or alternatively, the user interface 400 may include building new search elements 406.

In some examples, the search listing window 404 may include a search listing associated with the item and/or build a new search element. The search listing may be presented using a separate cell for each search. In some examples, each cell may include a representation of a search name, a description of a search, a representation of a user account that created the search, and a representation of a time at which the search was created, and/or one or more actionable elements associated with the search. In some examples, the one or more actionable elements may include duplicate search elements, edit search elements, and/or delete search elements. Additionally or alternatively, each cell may be operable such that when a search is selected, the user interface may be caused to display a search page corresponding to the selected search.

In some examples, the build new item element 406 may be configured such that when selected, the user interface presents a window configured to receive user input required to build a new search.

Fig. 4B illustrates an example user interface 400 for displaying data associated with a user account, the data representing a selected IP posture item. The data may be presented using a similarity list window 412. Additionally or alternatively, the user interface 400 may include an item portion filter indicator 402 that represents a current portion of a selected item being presented on the user interface 400, such as a similarity list window 412 of the selected item.

In some examples, the similarity list window 412 may include a list of similarities associated with the selected item. The list of similarities may be presented using separate cells for each similarity. In some examples, each cell may include a representation of a similarity name, a representation of a similarity type (i.e., patent or assignee), a description of a similarity, a representation of a user account creating the similarity, a representation of a date of creation of the similarity, and/or a status indicator associated with the similarity. In some examples, the status indicator may provide a representation of the status of the similarity generation, such as pending, completed, and/or failed. Additionally or alternatively, each cell may be executable such that when a similarity is selected, the user interface may be caused to display a publication similarity page corresponding to the selected publication similarity and/or the user interface may be caused to display an entity similarity page corresponding to the selected entity similarity.

Fig. 4C illustrates an example user interface 400 for displaying data associated with a user account, the data representing a selected IP posture item. The data may be presented using a cluster list window 422. Additionally or alternatively, the user interface 400 may include an item portion filter indicator 402 that represents a current portion of a selected item being presented on the user interface 400, such as a cluster list window 422 of the selected item.

In some examples, the cluster list window 422 may include a list of clusters associated with the item. The list of clusters may be presented using individual cells of each cluster. In some examples, each cell may include a representation of a cluster name, a description of the cluster, a representation of a user account that created the cluster, a representation of a date the cluster was created, and/or a status indicator associated with the cluster. In some examples, the status indicator may provide a representation of the generated status of the cluster, such as pending, completed, and/or failed. Additionally or alternatively, each cell may be actionable such that when a cluster is selected, the user interface may be caused to display a cluster page corresponding to the selected cluster.

Fig. 5A and 5B illustrate an example user interface 500 for displaying data associated with a user account that represents information associated with a selected search included in an IP posture item. The user interface 500 may present various windows for displaying portions of information associated with a selected search corresponding to the current type of the selected search being presented on the user interface 500 as represented by the search type indicator 502. The user interface 500 may be displayed on a display of an electronic device associated with a user account, such as the electronic device 102 described above with respect to fig. 1.

In some examples, search type indicator 502 may indicate the current type of the selected search being displayed on user interface 500. For example, the search type indicator 502 may include one or more search types, such as an entity, or assignee search type and/or publication search type. In some examples, when entity search type indicator 502 is selected, user interface 500 may be caused to display entity search window 504, selected entity window 506, action element 508, and/or save search element 510. Additionally or alternatively, when the publication search type indicator 502 is selected, the user interface 500 may be caused to display a publication search window 512, an action element 514, and/or a save search element 516.

FIG. 5A illustrates an example user interface 500 for displaying data associated with a user account, the data representing a selected search. The data may be presented using an entity search window 504, a selected entity window 506, an action element 508, and/or a save search element 510. Additionally or alternatively, the user interface may include a search type indicator 502 that represents the current type of the selected search being presented on the user interface 500.

In some examples, the entity search window 504 may include a list of entities and/or search elements. The list of entities may be presented using separate cells for each entity. In some examples, each cell may include a representation of a name of an entity, a representation of a number of IP assets associated with the entity, and/or a selection element. In some examples, the selection element may be configured such that when selected, the entity is removed from the entity search window and added to the selected entity window.

In some examples, the selected entity window 506 may include a list of selected entities and/or a representation of the total number of IP assets associated with the selected entities. Each selected entity may use a separate cell to present the list of selected entities. In some examples, each cell may include a representation of a name of the selected entity, a representation of a number of IP assets associated with the selected entity, and/or a removal element. In some examples, the removal element may be configured such that when selected, the selected entity is removed from the list of selected entities and added to the list of similar entities in the entity search window.

In some examples, the action element 508 may include one or more sub-elements and may be configured to perform various actions in response to user input representing selection of a particular sub-element. For example, action element 508 may include finding similar assignee sub-elements, clustering patent sub-elements, deriving selected entity patent sub-elements, and/or deriving patent litigation sub-elements. In some examples, find similar assignee sub-element 508 may be configured such that when selected, the user interface is caused to present a similar entity page. Additionally or alternatively, the cluster patent subelement 508 can be configured such that when selected, the user interface is caused to present a cluster result page. Additionally or alternatively, deriving selected entity patent subelements 508 may be configured such that, when selected, files representing a list of IP assets associated with the selected entity and information associated with one or more selected entities may be selectively downloaded by a user. Additionally or alternatively, export patent litigation subelement 508 can be configured such that, when selected, files representing litigation information associated with IP assets associated with the selected entity can be selectively downloaded by a user.

In some examples, save search element 510 may be configured such that when selected, a list of selected entities is saved in association with the user account.

FIG. 5B illustrates an example user interface 500 for displaying data associated with a user account, the data representing a selected search. The data may be presented using a publication search window 512, an action element 514, a save search element 516, and/or an add publication element 518. Additionally or alternatively, the user interface may include a search type indicator 502 that represents the current type of the selected search being presented on the user interface 500.

In some examples, publication search window 512 may include a representation of a search element and/or a number of saved publications associated with the search element. In some examples, the search element may be configured to receive user input representing any number of publication numbers from 1-N, where N is any integer greater than 1. Additionally or alternatively, the search element may be configured to receive representations of one or more publication collections.

In some examples, action element 514 may include one or more sub-elements and may be configured to perform various actions in response to user input representing selection of a particular sub-element. For example, action element 514 may include a find similar publications sub-element, a cluster patents sub-element, a export patents sub-element, an export patent litigation sub-element, and/or a export patent PTAB (patent trial and prosecution committee) sub-element. In some examples, find similar publications sub-element 514 may be configured such that when selected, the user interface is caused to present a similar publication page. Additionally or alternatively, the cluster patent subelement 514 can be configured such that when selected, the user interface is caused to present a cluster result page. Additionally or alternatively, export patent subelement 514 can be configured such that when selected, a user can optionally download a file representing a list of IP assets associated with publication numbers saved in the search element. Additionally or alternatively, export patent litigation subelement 514 can be configured such that, when selected, a user can optionally download a file representing litigation information associated with an IP asset determined to be similar to a saved publication number included in the search element. Additionally or alternatively, the PTAB subelement 514 of the export patent may be configured such that when selected, the user may optionally download a file representing PTAB record information associated with an IP asset determined to be similar to the saved publication number included in the search element.

In some examples, save search element 516 may be configured such that, when selected, publication numbers entered into the search element and/or publication collections included in the search element are saved in association with the user account.

In some examples, the add publication element 518 may be configured such that, when selected, one or more publication sets may be added to the search element. For example, a user may upload a file comprising a collection of publications that they wish to search based at least in part on the collection of publications. Additionally or alternatively, the add publication element 518 may be configured to receive user input of one or more files of different file types, including a publication and/or one or more identifications of the publication.

FIG. 6 illustrates an example user interface 600 for displaying data associated with a user account that represents selected IP asset similarity results. The data may be presented using an IP similarity results window 602, an action element 604, and/or one or more actionable elements 606. The user interface 600 may be displayed on a display of an electronic device associated with a user account, such as the electronic device 102 described above with respect to fig. 1.

In some examples, the IP similarity results window 602 may include a list of similar publications. Each similar publication may use a separate cell to present a list of similar publications. In some examples, each cell may include a representation of a title of the similar publication, a publication number associated with the similar publication, a representation of an entity and/or assignee associated with the similar publication, a priority date associated with the similar publication, a representation of litigation matters associated with the similar publication, a proprietary score associated with the similar publication, and/or a selection indicator.

In some examples, the action element 604 may include one or more sub-elements and may be configured to perform various actions in response to user input representing selection of a particular sub-element. For example, action element 604 may include clustering patent sub-elements, deriving patent sub-elements, and/or deriving patent litigation sub-elements. In some examples, the cluster patent subelement 514 can be configured such that when selected, the user interface is caused to present a cluster result page. Additionally or alternatively, export patent subelement 514 can be configured such that when selected, a user can optionally download a file representing a list of IP assets presented in a list of similar publications and/or a list of IP assets presented in a selected IP asset included in the list. Additionally or alternatively, export patent litigation sub-element 514 can be configured such that, when selected, a user can optionally download a file representing litigation information associated with an IP asset that is presented in a list of similar publications and/or in a selected IP asset included in the list.

In some examples, the one or more additional elements 606 may include a filter element, a sort element, and a column sort element. In some examples, the filter element may be configured to filter a list of similar publications. Additionally or alternatively, the ranking element may be configured to rank the list of similar publications based on various user-selected criteria. Additionally or alternatively, the column ranking element may be configured to rank the list of similar publications based on the columns associated with the cells.

FIG. 7 illustrates an example user interface 700 for displaying data associated with a user account that represents selected entity similarity results. The data may be presented using the target set window 702 and/or the entity result window 704. The user interface 700 may be displayed on a display of an electronic device associated with a user account, such as the electronic device 102 described above with respect to fig. 1.

In some examples, the target set window 702 may include a representation of a target set including entities and/or publications, a representation of a total number of IP assets associated with the target set, and/or editing target set selection elements. Each target set, entity, and/or publication may use a separate cell to present a target set list. In some examples, each cell may include a representation of an identity of the target set, an entity, a publication, and/or a representation of a number of IP assets associated with the target set. In some examples, editing the target set selection may be configured such that when selected, the user interface may be caused to present an entity view of the search page and/or allow a user to add and/or remove entities and/or publications to the target set.

In some examples, the entity results window 704 may include an action element 706. In some examples, the action element 706 may include one or more sub-elements and may be configured to perform various actions in response to user input representing selection of a particular sub-element. For example, action element 706 may include clustering patent sub-elements, deriving entity sub-elements, deriving top 50k patent sub-elements, and/or deriving litigation sub-elements of selected similar entities. In some examples, the cluster patent sub-element 706 may be configured such that when selected, the user interface is caused to present a cluster result page. Additionally or alternatively, export entity sub-element 706 may be configured such that, when selected, files representing a list of similar entities may be selectively downloaded by a user. Additionally or alternatively, export first 50k patent subelement 706 may be configured such that, when selected, files representing a list of 50,000 IP assets associated with a top-ranked similar entity may be selectively downloaded by a user. Additionally or alternatively, sub-element 706 that derives litigation of the selected similar entity may be configured such that, when selected, files representing litigation information associated with the IP assets of the selected similar entity may be selectively downloaded by the user. Additionally or alternatively, the entity results window 704 may include a list of similar entities, filter elements, and/or action elements. Each similar entity may use a separate cell to present a list of similar entities. In some examples, each cell may include a representation of an ordering of similar entities relative to other similar entities, a representation of an identification of similar entities, a number of IP assets associated with similar entities, and/or proprietary scores associated with similar entities. In some examples, the filter element may be configured to receive user input and filter a list of similar entities corresponding to text strings in the input filter element.

FIG. 8 illustrates an example user interface 800 for displaying data associated with a user account that represents selected clustering results. The data may be presented using a target set window 802 and/or a cluster result window 804. The user interface 800 may be displayed on a display of an electronic device associated with a user account, such as the electronic device 102 described above with respect to fig. 1.

In some examples, the target set window 802 may include a representation of a target set, including an entity and/or publication, a representation of a total number of IP assets associated with the target set, and/or editing a target set selection element. Each target set, entity, and/or publication may use a separate cell to present a target set list. In some examples, each cell may include a representation of an identity of the target set, an entity, a publication, and/or a representation of a number of IP assets associated with the target set. In some examples, editing the target set selection may be configured such that when selected, the user interface may be caused to present an entity view of the search page and/or allow a user to add and/or remove entities and/or publications to the target set.

In some examples, the cluster result window 804 may include a result set element 806 and/or an action element 808. In some examples, the result set element 806 may include one or more selectable result sets and may be configured to present one or more clusters in the cluster result window 804 corresponding to the selected result set of the one or more selectable result sets. Additionally or alternatively, the action element 808 may include one or more sub-elements and may be configured to perform various actions in response to user input representing selection of a particular sub-element. For example, action element 808 may include a cluster panel sub-element, a derived Comma Separated Value (CSV) file element, and/or a derived patent litigation sub-element. In some examples, the cluster panel sub-element 808 may be configured such that when selected, the user interface may be caused to present a cluster panel page. Additionally or alternatively, the export as CSV file sub-element 808 may be configured such that, when selected, files comprising a representation of the cluster in CSV file format may be selectively downloaded by a user. Additionally or alternatively, export patent litigation subelement 808 can be configured such that, when selected, files representing litigation information associated with IP assets included in clusters of a selected result set can be selectively downloaded by a user. Additionally or alternatively, the cluster result window 804 may include information associated with the selected result set, one or more cluster sub-windows, the result set selector, and/or the action element. In some examples, the information associated with the selected result set may include a representation of the selected result set, a representation of a number of clusters associated with the selected result set, and/or a representation of a total number of IP assets associated with the clusters included in the selected result set. In some examples, each cluster sub-window may include a representation of a number of clusters, a total number of IP assets associated with a cluster, one or more keywords associated with a cluster, and/or a name cluster field configured to receive user input for specifying a cluster name.

FIG. 9 illustrates an example user interface 900 for displaying data associated with a user account that represents a spatial representation of clusters included in a selected result set and/or included in a user-defined result set. The data may be presented using interactive graphical elements 902, filter floating windows 904, IP asset floating windows 906, and/or cluster floating windows 906. The user interface 900 may be displayed on a display of an electronic device associated with a user account, such as the electronic device 102 described above with respect to fig. 1.

In some examples, interactive graphical element 902 may include a spatial representation 908 of a cluster. In some examples, spatial representation 908 may include a background 910 represented by a blank, a graphical indicator 912 associated with individual IP assets included in the cluster, a set of keywords 914 associated with individual clusters included in the result set, a slider filter control 916, an animation sequence element 918, and/or a quick information hover window 920. In some examples, the graphical indicator 912 may be represented as a dot, the size of the dot corresponding to the relevance of the associated IP asset relative to other IP assets included in the cluster. It should be appreciated that the interactive graphical element 902 may include more graphical indicators 912 than indicated by the reference numerals. Additionally or alternatively, the graphical indicator 912 may be color coded such that the IP assets included in a cluster of the selected result set may be represented by the graphical indicator 912 having a color associated with the cluster. In some examples, the graphical indicators 912 belonging to individual clusters in the result set may have different colors corresponding to the individual clusters to which they belong. In some examples, the keyword set 914 may include one or more keywords associated with an individual cluster and may be presented in a central location of the cluster. Additionally or alternatively, the keyword set 914 may be represented in a color corresponding to the associated cluster. Additionally or alternatively, the interactive graphical element 902 may be configured to be manipulated by various user inputs, such as a zoom action configured to zoom in or out a view of the interactive graphical element to a desired location of the spatial representation, and/or a click and drag action configured to focus the view of the interactive graphical element 902 to a desired location of the spatial representation 908. In some examples, slider filter control 916 may be configured to receive user input representing a lower and/or upper limit associated with a priority date and/or a proprietary score associated with an IP asset included in a cluster of the selected result set. In some examples, the animation sequence element 918 may be configured such that, when selected, the interactive graphical element may be caused to display an animated view of the spatial representation of the cluster. For example, the animated view may be configured as a time-lapse animation such that the graphical elements 912 included in the spatial representation may appear and/or disappear according to a range specified by the lower and upper limits of the slider filter control 916. Additionally or alternatively, the animated view may be configured as a time-lapse animation such that the graphical elements 912 included in the spatial representation may change color according to the assignee of the IP asset associated with the graphical elements 912, such that the time-lapse animation may reflect the merger and/or acquisition associated with one or more entities over time. In some examples, the quick information hover window 920 may be displayed in response to a user hovering over a graphical element 912 in the spatial representation. The fast information window may include at least a portion of the information included in the IP asset floating window 906.

In some examples, filter hover window 904 may include a search element configured to allow a user to search for IP assets and/or clusters, a representation of a number of IP assets included in a cluster, a representation of IP assets visible on a current view of a spatial representation (e.g., a graphical element in a view), a representation of a number of IP assets included in a cluster but not presented on an interactive graphical element, an item selection control, a score filter slider, a cluster filter element, and/or a cluster color selector. In some examples, the item selection control may be configured such that when selected, a user may select an item to be visualized on an interactive graphical element representing an IP asset situation. In some examples, the score filter slider may include a lower limit control and/or an upper limit control associated with proprietary scores associated with IP assets included in clusters of the selected result set. In some examples, the cluster filter element may be configured such that when a cluster is selected, the selected cluster may be configured to appear and/or disappear from the spatial representation. In some examples, the cluster color selector may be configured to allow a user to change a color associated with an individual cluster of the selected result set.

In some examples, the IP asset floating window 906 may be displayed in response to a user input representing a selection of a graphical element in the spatial representation. The IP asset floating window 906 may include information associated with the selected IP asset and/or proprietary scores associated with the selected IP asset and generated by the IP posture platform. Additionally or alternatively, the IP asset floating window 906 may be configured as a clustered floating window 906. In some examples, cluster floating window 906 may be displayed in response to user input representing a search query indicating an identity of a cluster. Cluster suspension window 906 may include information associated with the clusters, such as representations of colors associated with the clusters, representations of keyword sets associated with the clusters, numbers of patents associated with the clusters, and averages of proprietary scores associated with the IP assets included in the clusters and generated by the IP posture platform.

FIG. 10 illustrates an example user interface 1000 for displaying data associated with a user account that represents a spatial representation of clusters that may be included in a selected result set and/or included in a user-defined result set. The data may be presented using interactive graphic elements 1002, a headline word cloud 1004, a abstract word cloud 1006, and/or a assignee publication count window 1008. The user interface 1000 may be displayed on a display of an electronic device associated with a user account, such as the electronic device 102 described above with respect to fig. 1. Additionally or alternatively, interactive graphical element 1002 may include any number of features of interactive graphical element 902 described above with respect to fig. 9.

In some examples, interactive graphical element 1002 may include a spatial representation of clusters 1010 and/or one or more cluster filter elements. In some examples, the cluster filter element may be represented by a name of the cluster and/or a keyword associated with the cluster. Additionally or alternatively, the cluster filter element may be configured such that, when selected, the graphical indicators 1012 associated with the selected clusters may appear and/or disappear on the interactive graphical element 1002, respectively. In some examples, the spatial representation 1010 may include a background represented by a blank, a graphical indicator 1012 associated with individual IP assets included in the cluster, and/or a fast information levitation window 1014. Additionally or alternatively, spatial representation 1010 may include any one or more features of spatial representation 908 described above with respect to fig. 9. In some examples, the graphical indicator 1012 may be represented as a dot, the size of the dot corresponding to the relevance of the associated IP asset relative to other IP assets included in the cluster. It should be appreciated that the interactive graphical element 1010 may include more graphical indicators 1012 than indicated by the reference numerals. Additionally or alternatively, the graphical indicator 1012 may be color coded such that IP assets included in a cluster of the selected result set may be represented by the graphical indicator 1012 having a color associated with the cluster. In some examples, the graphical indicators 1012 belonging to the individual clusters in the result set may have different colors corresponding to the individual clusters to which they belong. Additionally or alternatively, the interactive graphical element 1002 may be configured to be manipulated by various user inputs, such as a zoom action configured to zoom in or out a view of the interactive graphical element to a desired location of the spatial representation, and/or a click and drag action configured to focus the view of the interactive graphical element 1002 to a desired location of the spatial representation 1010. In some examples, the quick hover window 1014 may be displayed in response to a user hovering over a graphical element 1012 in the spatial representation. The quick information window 1014 may include information associated with the IP asset corresponding to the graphical element 1012 upon which the user hovers. In some examples, the quick information window 1014 may include a representation of the assignee associated with the IP asset, a representation of a scope for the IP asset, such as a narrow, medium, and/or wide, a title of the IP asset, a summary of the IP asset, a priority date of the IP asset, and/or an expiration date of the IP asset.

In some examples, the title literal cloud 1004 may include a literal cloud generated using words included in individual titles of IP assets included in the selected cluster. The title literal cloud 1004 may be generated such that words included in the literal cloud grow and/or shrink according to how frequently these words appear in the titles of the IP assets included in the cluster. For example, the word with the highest frequency may be presented as the largest word of the literal cloud and the word with the lowest frequency may be presented as the smallest word of the literal cloud. Additionally or alternatively, any word cloud technique may be used to generate the title word cloud 1004. Additionally or alternatively, the header word cloud 1004 may be configured such that when a user hovers over a word, a frequency word is displayed to the user. Additionally or alternatively, the header word cloud 1004 may be configured to receive user input such that when a word is selected, the spatial representation 1010 and/or the assignee publication count window 1008 only present results that include the selected word. Additionally or alternatively, the selected word from the title word cloud 1004 and the selected word from the summary word cloud 1006 may be selected in combination such that the spatial representation 1010 and/or the assignee's publication count window 1008 only present results that include both of the selected words.

In some examples, summary literal cloud 1006 may include a literal cloud generated using words included in individual summaries of IP assets included in the selected cluster. A summary literal cloud 1006 may be generated such that words included in the literal cloud grow and/or shrink according to how frequently these words appear in the summaries of the IP assets included in the clusters. For example, the word with the highest frequency may be presented as the largest word of the literal cloud and the word with the lowest frequency may be presented as the smallest word of the literal cloud. Additionally or alternatively, any literal cloud technique may be used to generate abstract literal cloud 1006. Additionally or alternatively, the summary text cloud 1006 may be configured such that when a user hovers over a word, a frequency word is displayed to the user. Additionally or alternatively, the summary text cloud 1006 may be configured to receive user input such that when a word is selected, the spatial representation 1010 and/or the assignee publication count window 1008 only present results that include the selected word. Additionally or alternatively, the selected word from the summary word cloud 1006 and the selected word from the title word cloud 1004 may be selected in combination such that the spatial representation 1010 and/or the assignee publication count window 1008 only present results that include the two selected words.

In some examples, assignee publication count window 1008 may include a representation of one or more assignee associated with the IP assets in the cluster inclusion. Additionally or alternatively, the assignee publication count window 1008 may include a graphical representation of the number of IP assets included in a cluster associated with one or more assignee. In some examples, assignee publication count window 1008 may include a chart to present the assignee associated with the IP asset and/or the associated count of IP assets belonging to the individual assignee and included in the cluster. In some examples, the chart may be presented as a bar chart, a line chart, a pie chart, a table, and/or any other chart suitable for presenting data. Additionally or alternatively, the chart may be configured such that when the user hovers over one of the bars (or other data point representation), the user is presented with information associated with the assignee, such as the name of the assignee and/or the number of associated IP assets. Additionally or alternatively, the chart may be configured to receive user input. For example, the chart may be configured such that when the user selects a bar (or other data point representation), one or more actions are presented to the user. In some examples, the one or more actions may include focusing the spatial representation 1010 and/or causing the spatial representation 1010 to present only the graphical indicator 1012 associated with the selected assignee. Additionally or alternatively, the one or more actions may include presenting a list of IP assets associated with the assignee, including the assignee in a particular cluster, and/or excluding the assignee from a particular cluster. In some examples, the list of IP assets associated with the assignee may be presented in a ranked manner and based on scores associated with and indicative of the overall quality of the individual IP assets.

FIG. 11 illustrates an example user interface 1100 configured to receive user input, such as data representing a search, and/or to present data associated with search results. The data may be presented and/or received using a study refinement element 1102, a study bar 1104, a study result overlay 1106, and/or one or more actionable elements 1108. The user interface 1100 may be displayed on a display of an electronic device associated with a user account, such as the electronic device 102 described above with respect to fig. 1.

In some examples, research refinement element 1102 may include one or more refinement elements configured to refine a research query, such as a company/entity refinement element, a market/industry refinement element, a published patent refinement element, and/or a document/text refinement element. In some examples, research refinement element 1102 may be configured such that when one of the one or more refinement elements is selected, research result overlay 1106 may present results corresponding to the selected refinement element.

In some examples, research bar 1104 may be configured to receive user input representing a research query, such as text identifying an entity, company, market, industry, publication, IP asset, and/or file. Additionally or alternatively, research bar 1104 may be configured to receive user input representing a search query that does not include text, such as a file, a result set, and/or any other data element that includes an identification of an entity, company, market, industry, publication, IP asset, and/or file.

In some examples, the study overlay 1106 may be configured such that initial studies associated with data entered into the study bar are displayed in the study overlay 1106. In some examples, each study may use a separate cell to present the initial study. In some examples, each cell may include a representation of an entity, a representation of a final parent associated with the entity, a patent number associated with the entity and/or the final parent, and/or an actionable element configured to add the entity to a selected research outcome list. In some examples, study stack 1106 may include initial study results and/or selected study results. In some examples, the selected study results may be presented using individual cells that are substantially similar to the individual cells described above with respect to the initial study results.

In some examples, the one or more actionable elements 1108 may include finding similar entity elements, clustering patent elements, and/or viewing patent elements. In some examples, looking up similar entity elements may be configured such that when selected, user interface 1100 is caused to present a similar entity page and/or generate a result set based at least in part on selected study results included in study results overlay 1106. Additionally or alternatively, the clustering patent elements may be configured such that when selected, the user interface 1100 is caused to present a clustering results page and/or generate a result set based at least in part on the selected study results included in the study results overlay 1106 using any of the clustering techniques described above. Additionally or alternatively, the view patent element may be configured such that when selected, the user interface 1100 is caused to present the list of IP assets based at least in part on the selected study results included in the study results overlay 1106.

Fig. 12-19 illustrate example processes associated with an IP posture platform. The processes described herein are illustrated as a series of blocks in a logic flow diagram that represent a sequence of operations, some or all of which may be implemented in hardware, software, or a combination thereof. In the context of software, the blocks may represent computer-executable instructions stored on one or more computer-readable media that, when executed by one or more processors, program the processors to perform the recited execution. Generally, computer-executable instructions include routines, programs, objects, components, data structures, etc. that perform particular functions or implement particular data types. The order in which the blocks are described should not be construed as a limitation unless specifically indicated. Any number of the described blocks can be combined in any order and/or in parallel to implement the process or an alternative process, and not all blocks need be performed. For purposes of discussion, these processes are described with reference to the environments, architectures, and systems described in the examples herein, such as those described with respect to fig. 1-11, although these processes may be implemented in a wide variety of other environments, architectures, and systems.

FIG. 12 illustrates an example flow chart of an example process 1200 for initiating an entity search with a target entity having an IP asset and generating a user interface configured to present entities similar to the target entity in a ranked manner. The order in which the operations or steps are described is not intended to be construed as a limitation, and any number of the described operations may be combined in any order and/or in parallel to implement process 1200. The operations described with respect to process 1200 are described as being performed by an electronic device and/or a remote computing resource associated with an IP posture platform. However, it should be understood that some or all of these operations may be performed by some or all of the components, devices, and/or systems described herein.

At block 1202, process 1200 may include generating a Graphical User Interface (GUI) configured for display on a computing device. In some examples, the GUI may be configured to receive input from a computing device. The computing device may be any of the electronic devices 102 and/or remote computing resources 104 described with respect to fig. 1. Additionally or alternatively, the GUI may include any of the example user interfaces 300-1100 described with respect to FIGS. 3-11.

At block 1204, process 1200 may include receiving, via the GUI, input data representing an input. In some examples, the input data may indicate an identity of the first entity as the target entity and/or an identity of one or more first entities as the target entity. Additionally or alternatively, the input data may indicate an identification of the target intellectual property asset and/or one or more identifications of the plurality of target intellectual property assets. Additionally or alternatively, the input data may indicate an identification of the target product and/or one or more identifications of the plurality of target products.

At block 1206, process 1200 may include identifying one or more first intellectual property assets associated with the target entity.

At block 1208, process 1200 may include generating a first vector representation of a target entity. In some examples, the first vector representation may be based at least in part on one or more first intellectual property assets. In some examples, the first vector representation may use any technique to generate the vector described above with respect to fig. 1 and 2.

At block 1210, process 1200 may include identifying one or more second entities having one or more second intellectual property assets similar to the one or more first intellectual property assets.

At block 1212, process 1200 may include generating a second vector representation for an individual entity of the one or more second entities. In some examples, the second vector representation of an individual second entity of the one or more second entities may be based at least in part on the one or more second intellectual property assets. In some examples, the second vector representation may use any technique to generate the vector described above with respect to fig. 1 and 2.

At block 1214, process 1200 may include determining an ordering of the one or more second entities. In some examples, the ordering of the one or more second entities may be based at least in part on comparing the first vector representation and the second vector representation of individual ones of the one or more second entities.

At block 1216, the process 1200 may include causing the GUI to display one or more second entities according to the ranking.

Additionally or alternatively, process 1200 may include identifying one or more second entities based at least in part on identifying the one or more second entities as having one or more second intellectual property assets similar to the target intellectual property asset.

Additionally or alternatively, process 1200 may include identifying a technical classification of the target product. Additionally or alternatively, process 1200 may include identifying one or more second entities based at least in part on identifying the one or more second entities as having one or more second intellectual property assets associated with the technical classification of the target product.

Additionally or alternatively, the input data is first input data. Additionally or alternatively, process 1200 may include receiving second input data via the GUI. In some examples, the second input data may indicate a selection of a second entity of the one or more second entities. Additionally or alternatively, process 1200 may include identifying one or more third intellectual property assets associated with the second entity. Additionally or alternatively, process 1200 may include determining, for individual assets of the one or more third intellectual property assets, whether the individual asset is associated with a litigation dispute. Additionally or alternatively, process 1200 can include generating a exportable file that includes a list of individual assets associated with the litigation dispute and information associated with the litigation dispute of the individual asset.

Additionally or alternatively, process 1200 may include generating a third vector representation for individual assets of the one or more first intellectual property assets. In some examples, the third vector representation may be based at least in part on text included in at least a portion of the individual assets of the one or more first intellectual property assets. Additionally or alternatively, process 1200 may include generating a first vector representation. In some examples, the first vector representation may be based at least in part on a third vector representation of individual assets of the one or more first intellectual property assets.

Additionally or alternatively, process 1200 may include identifying a technology classification associated with the target entity. In some examples, the technical classification associated with the target entity may be based at least in part on one or more first intellectual property assets. Additionally or alternatively, the technical classification may include a technology or product associated with at least one of the one or more first intellectual property assets or target entities. Additionally or alternatively, process 1200 may include identifying one or more second entities having one or more second intellectual property assets that are similar to the one or more first intellectual property assets. In some examples, identifying one or more second entities may be based at least in part on a technical classification associated with the target entity.

Additionally or alternatively, process 1200 may include identifying, for the individual second entity of the one or more second entities, a number of the one or more second intellectual property assets associated with the individual second entity. Additionally or alternatively, process 1200 may include causing the GUI to display the one or more second entities according to a ranking and number of the one or more second intellectual property assets associated with the individual second entities.

FIG. 13 illustrates an example flow diagram of an example process 1300 for initiating an entity search with a target publication and generating a user interface configured to present entities having intellectual property assets similar to the target publication in a ranked manner. The order in which the operations or steps are described is not intended to be construed as a limitation, and any number of the described operations may be combined in any order and/or in parallel to implement process 1300. The operations described with respect to process 1300 are described as being performed by an electronic device and/or remote computing resource associated with an IP posture platform. However, it should be understood that some or all of these operations may be performed by some or all of the components, devices, and/or systems described herein.

At block 1302, process 1300 may include generating a Graphical User Interface (GUI) configured to be displayed on a computing device. In some examples, the GUI may be configured to receive input from a computing device. The computing device may be any of the electronic devices 102 and/or remote computing resources 104 described with respect to fig. 1. Additionally or alternatively, the GUI may include any of the example user interfaces 300-1100 described with respect to FIGS. 3-11.

At block 1304, process 1300 may include receiving, via a GUI, input data representing an input. In some examples, the input data may indicate an identification number of the first intellectual property asset. Additionally or alternatively, the input data may indicate an identity of the target entity. Additionally or alternatively, the input data may indicate an identification of the target product.

At block 1306, process 1300 may include identifying one or more second intellectual property assets that are similar to the first intellectual property asset. In some examples, one or more second intellectual property assets may be associated with an individual first entity.

At block 1308, process 1300 may include identifying a first entity from an individual first entity as a target entity. In some examples, identifying a first entity from an individual first entity as a target entity may be based at least in part on a number of one or more second intellectual property assets associated with the first entity meeting a threshold number. Additionally or alternatively, identifying a first entity from an individual first entity as a target entity may be based at least in part on determining that the first entity is associated with a most advantageous number of one or more second intellectual property assets. In some examples, the most advantageous number of the one or more second intellectual property assets may be a number of the one or more second intellectual property assets that is greater than the additional number of the one or more second intellectual property assets. Additionally or alternatively, the most advantageous number of the one or more second intellectual property assets may be a number of the one or more second intellectual property assets that is less than the additional number of the one or more second intellectual property assets.

At block 1310, the process 1300 may include generating a first vector representation of the target entity. In some examples, the first vector representation of the target entity may be based at least in part on one or more second intellectual property assets associated with the target entity. In some examples, the first vector representation may use any technique to generate the vector described above with respect to fig. 1 and 2.

At block 1312, process 1300 may include identifying one or more second entities having one or more third intellectual property assets similar to the one or more second intellectual property assets.

At block 1314, the process 1300 may include generating a second vector representation for an individual entity of the one or more second entities. In some examples, the second vector representation of the individual second entity of the one or more second entities may be based at least in part on the one or more third intellectual property assets. In some examples, the second vector representation may use any technique to generate the vector described above with respect to fig. 1 and 2.

At block 1316, process 1300 may include determining an ordering of one or more second entities. In some examples, the ordering of the one or more second entities may be based at least in part on comparing the first vector representation and the second vector representation of individual ones of the one or more second entities.

At block 1318, process 1300 may include causing the GUI to display one or more second entities according to the ranking.

FIG. 14 illustrates an example flow chart of an example process 1400 for initiating an entity search with a target product and generating a user interface configured to present entities having intellectual property assets in a ranked manner that are similar to the technology associated with the target product. The order in which the operations or steps are described is not intended to be construed as a limitation, and any number of the described operations may be combined in any order and/or in parallel to implement process 1400. The operations described with respect to process 1400 are described as being performed by an electronic device and/or a remote computing resource associated with an IP posture platform. However, it should be understood that some or all of these operations may be performed by some or all of the components, devices, and/or systems described herein.

At block 1402, process 1400 may include generating a Graphical User Interface (GUI) configured for display on a computing device. In some examples, the GUI may be configured to receive input from a computing device. The computing device may be any of the electronic devices 102 and/or remote computing resources 104 described with respect to fig. 1. Additionally or alternatively, the GUI may include any of the example user interfaces 300-1100 described with respect to FIGS. 3-11.

At block 1404, process 1400 may include receiving, via the GUI, input data representing an input. In some examples, the input data may indicate an identification of the target product. Additionally or alternatively, the input data may indicate an identification of the target intellectual property asset. Additionally or alternatively, the input data may indicate an identity of the target entity.

At block 1406, process 1400 may include identifying a technical feature associated with the target product. In some examples, technical features may be included in descriptions and/or user manuals associated with the target product.

At block 1408, process 1400 may include identifying one or more first intellectual property assets associated with the product. In some examples, one or more first intellectual property assets may be based at least in part on the technical features. Additionally or alternatively, one or more first intellectual property assets may be associated with an individual first entity.

At block 1410, process 1400 may include determining from the individual first entities that the first entity is associated with a most advantageous number of one or more first intellectual property assets. In some examples, the most advantageous number of the one or more first intellectual property assets may be a number of the one or more first intellectual property assets that is greater than an additional number of the one or more first intellectual property assets. Additionally or alternatively, the most advantageous number of the one or more first intellectual property assets may be a number of the one or more first intellectual property assets that is less than the additional number of the one or more first intellectual property assets.

At block 1412, process 1400 may include identifying the first entity as a target entity. In some examples, identifying the first entity as the target entity may be based at least in part on determining that the first entity is associated with a most advantageous number of one or more first intellectual property assets. Additionally or alternatively, identifying the first entity as the target entity may be based at least in part on the number of one or more first intellectual property assets associated with the first entity meeting a threshold number.

At block 1414, process 1400 may include generating a first vector representation of the target entity. In some examples, the first vector representation of the target entity may be based at least in part on one or more first intellectual property assets associated with the target entity. In some examples, the first vector representation may use any technique to generate the vector described above with respect to fig. 1 and 2.

At block 1416, process 1400 may include identifying one or more second entities having one or more second intellectual property assets similar to the one or more first intellectual property assets.

At block 1418, process 1400 may include generating a second vector representation for an individual entity of the one or more second entities. In some examples, the second vector representations of the one or more second entities may be based at least in part on the one or more second intellectual property assets. In some examples, the second vector representation may use any technique to generate the vector described above with respect to fig. 1 and 2.

At block 1420, process 1400 may include determining an ordering of one or more second entities. In some examples, the ranking may be based at least in part on comparing the first vector representation and the second vector representation of individual second entities of the one or more second entities.

At block 1422, process 1400 may include causing the GUI to display one or more second entities according to the ranking.

FIG. 15 illustrates an example flow chart of an example process 1500 for generating data representing a result set that includes clusters of intellectual property assets determined to be similar to a target entity and presenting the clusters on a graphical user interface. The order in which the operations or steps are described is not intended to be construed as a limitation, and any number of the described operations may be combined in any order and/or in parallel to implement process 1500. The operations described with respect to process 1500 are described as being performed by an electronic device and/or remote computing resource associated with an IP posture platform. However, it should be understood that some or all of these operations may be performed by some or all of the components, devices, and/or systems described herein.

At block 1502, process 1500 may include identifying a first entity having a first intellectual property asset.

At block 1504, the process 1500 may include generating a Graphical User Interface (GUI) configured to be displayed on a computing device. In some examples, the GUI may be configured to display one or more second entities having second intellectual property assets similar to the one or more first intellectual property assets. Additionally or alternatively, the GUI may be configured to receive input from the computing device. The computing device may be any of the electronic devices 102 and/or remote computing resources 104 described with respect to fig. 1. Additionally or alternatively, the GUI may include any of the example user interfaces 300-1100 described with respect to FIGS. 3-11.

At block 1506, the process 1500 may include receiving, via the GUI, input data representing the input. In some examples, the input data may indicate that at least one of the one or more second entities is selected as the selected entity.

At block 1508, process 1500 may include generating data representing one or more result sets. In some examples, the data representing the one or more result sets may be based at least in part on a second intellectual property asset associated with the selected entity. Additionally or alternatively, the individual result sets of the one or more result sets may include one or more clusters of the second intellectual property asset. Additionally or alternatively, the individual clusters of the one or more clusters may include a plurality of second intellectual property assets. Additionally or alternatively, the individual clusters of the one or more clusters may include keywords associated with a plurality of second intellectual property assets. In some examples, the keywords may be based at least in part on words included in text portions of the plurality of second intellectual property assets.

At block 1510, the process 1500 may include causing the GUI to display a first result of the one or more result sets. In some examples, the first result set may include a plurality of first clusters of one or more second intellectual property asset clusters. Additionally or alternatively, the first result set may include a first number representing a number of second intellectual property assets associated with a first cluster of individuals in the plurality of first clusters. Additionally or alternatively, the first result set may include a second number representing a number of the plurality of first clusters in the one or more clusters. Additionally or alternatively, the first result set may include a first keyword associated with each of the plurality of first clusters. Additionally or alternatively, the GUI may display additional elements for interacting with the first result set.

Additionally or alternatively, process 1500 may include identifying a foreign intellectual property asset and/or designing an intellectual property asset from the second intellectual property asset as a third intellectual property asset. Additionally or alternatively, process 1500 may include removing the third intellectual property asset from the second intellectual property asset before generating the data representing the one or more result sets.

Additionally or alternatively, process 1500 may include generating a third vector representation for each of the first intellectual property assets. In some examples, the first vector representation may be based at least in part on first text included in the individual first intellectual property asset. Additionally or alternatively, process 1500 may include generating a second vector representation for each of the second intellectual property assets. In some examples, the second vector representation may be based at least in part on second text included in the individual second intellectual property asset. Additionally or alternatively, process 1500 may include determining that the second intellectual property asset is similar to the first intellectual property asset. In some examples, determining that the second intellectual property assets are similar to the first intellectual property assets may be based at least in part on comparing the first vector representation of each of the first intellectual property assets to the second vector representation of each of the second intellectual property assets.

Additionally or alternatively, the plurality of first clusters may include a first cluster including first clustered intellectual property assets from second intellectual property assets, and/or a second cluster including second clustered intellectual property assets from second intellectual property assets. Additionally or alternatively, at least one of the first clustered intellectual property assets may be different from at least one of the second clustered intellectual property assets. Additionally or alternatively, at least one of the first clustered intellectual property assets may be duplicated with at least one of the second clustered intellectual property assets.

Additionally or alternatively, each of the one or more result sets may be associated with a level of granularity. Additionally or alternatively, process 1500 may include determining that the first result set is associated with a first level of granularity. Additionally or alternatively, the process 1500 may include generating a plurality of first clusters of one or more clusters. In some examples, the plurality of first clusters may be associated with a first level of granularity. Additionally or alternatively, process 1500 may include generating a plurality of second clusters of one or more clusters of second intellectual property assets. In some examples, the plurality of second clusters may be associated with a first level of granularity. Additionally or alternatively, process 1500 may include determining a first score associated with the plurality of first clusters. In some examples, the first score may be based at least in part on a first keyword associated with a first cluster of individuals in the plurality of first clusters. Additionally or alternatively, process 1500 may include determining a second score associated with the second class. In some examples, the second score may be based at least in part on a second keyword associated with a second category of individuals in the plurality of second clusters. Additionally or alternatively, process 1500 may include selecting a first cluster for a first result set associated with a first level of granularity. In some examples, selecting the first cluster may be more advantageous than the second score based at least in part on the first score.

Additionally or alternatively, the input may be a first input. Additionally or alternatively, process 1500 may include causing the GUI to display one or more controls for receiving the second input from the computing device. Additionally or alternatively, process 1500 may include receiving a second input via one or more controls. Additionally or alternatively, the process 1500 may include causing the GUI to display a second result set of the one or more result sets. In some examples, the second result set is different from the first result set.

Additionally or alternatively, process 1500 may include determining that a first intellectual property asset of the second intellectual property asset is not associated with one or more clusters of the second intellectual property asset. Additionally or alternatively, the process 1500 may include generating a probability that the first intellectual property asset is associated with an individual cluster of the one or more clusters for the individual cluster. Additionally or alternatively, the process 1500 may include identifying a first probability associated with a first cluster of the one or more clusters as the most favorable probability for an individual cluster of the one or more clusters. In some examples, the most favorable probability may be the highest probability and/or the probability that satisfies a threshold probability. Additionally or alternatively, process 1500 may include assigning the first intellectual property asset to the first cluster. In some examples, assigning the first intellectual property asset to the first cluster may be based at least in part on the first probability being a most favorable probability for an individual cluster of the one or more clusters.

Additionally or alternatively, the input may be a first input and the input data may be first input data. Additionally or alternatively, process 1500 may include determining that a first intellectual property asset of the second intellectual property asset is not associated with one or more clusters of the second intellectual property asset. Additionally or alternatively, the process 1500 may include receiving, via the GUI, second input data representing a second input. In some examples, the second input data may indicate that the first intellectual property asset is assigned to a first cluster of the one or more clusters. Additionally or alternatively, process 1500 may include assigning the first intellectual property asset to the first cluster based at least in part on the second input data.

FIG. 16 illustrates an example flow chart of an example process 1600 for generating data representing a result set including at least two clusters of intellectual property assets determined to be similar to a target entity and presenting the clusters on a graphical user interface. The order in which the operations or steps are described is not intended to be construed as a limitation, and any number of the described operations may be combined in any order and/or in parallel to implement process 1600. The operations described with respect to process 1600 are described as being performed by an electronic device and/or remote computing resource associated with an IP posture platform. However, it should be understood that some or all of these operations may be performed by some or all of the components, devices, and/or systems described herein.

At block 1602, process 1600 may include identifying a first entity having a first intellectual property asset.

At block 1604, the process 1600 may include generating a Graphical User Interface (GUI) configured to be displayed on the computing device. In some examples, the GUI may be configured to display a second entity having a second intellectual property asset similar to the one or more first intellectual property assets. Additionally or alternatively, the GUI may be configured to receive input from the computing device. The computing device may be any of the electronic devices 102 and/or remote computing resources 104 described with respect to fig. 1. Additionally or alternatively, the GUI may include any of the example user interfaces 300-1100 described with respect to FIGS. 3-11.

At block 1606, the process 1600 may include receiving, via the GUI, input data representing an input indicating a selection of at least one of the plurality of second entities as the selected entity.

At block 1608, the process 1600 may include generating first data representing one or more result sets. In some examples, the one or more result sets may be based at least in part on a second intellectual property asset associated with the selected entity. Additionally or alternatively, the individual result sets of the one or more result sets may comprise a first cluster. In some examples, the first cluster may include a first number of second intellectual property assets included in a first portion of the second intellectual property assets associated with the selected entity. Additionally or alternatively, the first cluster may include a first keyword associated with a first portion of the second intellectual property asset. Additionally or alternatively, the individual result sets of the one or more result sets may comprise a second cluster. In some examples, the second cluster may include a second number of second intellectual property assets included in a second portion of the second intellectual property assets associated with the selected entity. Additionally or alternatively, the second cluster may include a second keyword associated with a second portion of the second intellectual property asset.

At block 1610, the process 1600 may include causing the GUI to display a first result set of the result sets. In some examples, the first result set may include a first cluster. Additionally or alternatively, the first result set may comprise a second cluster. Additionally or alternatively, the GUI may display additional elements for interacting with the first result set and/or the result set.

FIG. 17 illustrates an example flow diagram of an example process 1700 for generating data representing a result set that includes a first cluster and a second cluster and information associated with the clusters and presenting the clusters on a graphical user interface. The order in which the operations or steps are described is not intended to be construed as a limitation, and any number of the described operations may be combined in any order and/or in parallel to implement the process 1700. The operations described with respect to process 1700 are described as being performed by an electronic device and/or a remote computing resource associated with an IP posture platform. However, it should be understood that some or all of these operations may be performed by some or all of the components, devices, and/or systems described herein.

At block 1702, process 1700 may include identifying a first entity having a first intellectual property asset.

At block 1704, the process 1700 may include generating a Graphical User Interface (GUI) configured for display on a computing device. In some examples, the GUI may be configured to display a second entity having a second intellectual property asset similar to the one or more first intellectual property assets. Additionally or alternatively, the GUI may be configured to receive input from the computing device. The computing device may be any of the electronic devices 102 and/or remote computing resources 104 described with respect to fig. 1. Additionally or alternatively, the GUI may include any of the example user interfaces 300-1100 described with respect to FIGS. 3-11.

At block 1706, the process 1700 may include receiving, via the GUI, input data representing an input indicating a selection of at least one second entity as the selected entity.

At block 1708, the process 1700 may include generating first data representing a first result set. In some examples, the data representing the first result set may be based at least in part on a second intellectual property asset associated with the selected entity. In some examples, the first result set may include a first cluster including a first portion of the second intellectual property asset associated with the selected entity. Additionally or alternatively, the first result set may include a first number of second intellectual property assets included in the first portion. Additionally or alternatively, the first result set may include a first keyword associated with a first portion of the second intellectual property asset. Additionally or alternatively, the first result set may include a second cluster including a second portion of a second intellectual property asset associated with the selected entity. Additionally or alternatively, the first result set may include a second number of second intellectual property assets included in the second portion. Additionally or alternatively, the first result set may include a second keyword associated with a second portion of a second intellectual property asset.

At block 1710, the process 1700 may include causing the GUI to display a first result set. Additionally or alternatively, the GUI may display additional elements for interacting with the first result set.

FIG. 18 illustrates an example flow chart of an example process for generating data representing a result set that includes clusters of intellectual property assets and generating interactive graphical elements that include spatial representations of the clusters included in the result set. The order in which the operations or steps are described is not intended to be construed as a limitation, and any number of the described operations may be combined in any order and/or in parallel to implement process 1800. The operations described with respect to process 1800 are described as being performed by an electronic device and/or a remote computing resource associated with an IP posture platform. However, it should be understood that some or all of these operations may be performed by some or all of the components, devices, and/or systems described herein.

At block 1802, the process 1800 may include identifying one or more second entities having second intellectual property assets similar to the one or more first intellectual property assets based at least in part on the first entities having the first intellectual property assets.

At block 1804, process 1800 may include generating data representing one or more result sets. In some examples, the data representing the one or more result sets may be based at least in part on the second intellectual property asset. In some examples, the individual result sets of the one or more result sets may include one or more clusters of the second intellectual property asset.

At block 1806, the process 1800 may include generating a Graphical User Interface (GUI) configured for display on a computing device. In some examples, the GUI may be configured to display one or more result sets. Additionally or alternatively, the GUI may be configured to receive at least a first input from the computing device. The computing device may be any of the electronic devices 102 and/or remote computing resources 104 described with respect to fig. 1. Additionally or alternatively, the GUI may include any of the example user interfaces 300-1100 described with respect to FIGS. 3-11.

At block 1808, the process 1800 may include receiving, via the GUI, first input data representing a first input. In some examples, the first input data may indicate a selection of a first one of the one or more result sets.

At block 1810, the process 1800 may include generating an interactive graphical element including a spatial representation of a first cluster included in a first result set. In some examples, the spatial representation may include a graphical indicator that represents individual second intellectual property assets in the second intellectual property assets included in the first cluster. In some examples, individual ones of the graphical indicators may be a distance from each other. In some examples, the graphical indicators may be spaced a distance from each other based at least in part on the technical classifications of the respective second intellectual property assets.

At block 1812, process 1800 may include causing the GUI to display an interactive graphical element. Additionally or alternatively, the GUI may include one or more additional elements for interacting with the interactive graphical element.

Additionally or alternatively, the plurality of first clusters may include a first cluster and/or a second cluster. Additionally or alternatively, the plurality of first clusters may include first keywords associated with the first clusters. In some examples, the first keyword may be based at least in part on a first word included in a text portion of a second intellectual property asset included in the first cluster. Additionally or alternatively, the plurality of first clusters may include a second keyword associated with a second cluster. In some examples, the second keyword may be based at least in part on a second word included in a text portion of a second intellectual property asset included in the first cluster. Additionally or alternatively, the graphical indicator may include a first graphical indicator corresponding to a second intellectual property asset included in the first cluster. Additionally or alternatively, the graphical indicator may include a second graphical indicator corresponding to a second intellectual property asset included in the second cluster.

Additionally or alternatively, the first graphical indicator comprises a first color. Additionally or alternatively, the second graphical indicator includes a second color different from the first color. Additionally or alternatively, the interactive graphical element may include a first keyword displayed at a first central location of a first graphical indicator associated with the first cluster. In some examples, the first keyword is represented in a first color. Additionally or alternatively, the interactive graphical element may include a second keyword displayed at a second central location of a second graphical indicator associated with a second category. In some examples, wherein the second keyword is represented in a second color.

Additionally or alternatively, process 1800 may include receiving, via the GUI, second input data representing a second user input. In some examples, the second input data may indicate a filter that selects the spatial representation. Additionally or alternatively, process 1800 can include determining that the selection of the filter is associated with at least one of the first clusters of the second clusters. Additionally or alternatively, process 1800 may include causing the spatial representation to hide at least one of the first graphical indicator associated with the first cluster or the second graphical indicator associated with the second cluster on the interactive graphical element based at least in part on the second user input.

Additionally or alternatively, individual ones of the graphical indicators may include a first color corresponding to a cluster in a first cluster including the individual second intellectual property asset and/or a first color corresponding to an entity of the individual second intellectual property asset. Additionally or alternatively, process 1800 may include receiving, via the GUI, second input data representing a second user input. In some examples, the second input data may indicate at least one of a cluster view of the spatial representation or an entity view of the spatial representation is selected. Additionally or alternatively, process 1800 may include causing individual ones of the graphical indicators included in the spatial representation to be represented in one of a first color or a second color based at least in part on the second user input.

Additionally or alternatively, process 1800 may include receiving, via the GUI, second input data representing a second input. In some examples, the second input data may indicate a first graphical indicator that selects the graphical indicator. Additionally or alternatively, process 1800 may include identifying information associated with a first intellectual property asset of the second intellectual property assets corresponding to the first graphical indicator. In some examples, the information may include a score associated with the first intellectual property asset. In some examples, the score may be based at least in part on a first word included in a first text portion of the first intellectual property asset relative to a second word included in a second portion of the second intellectual property asset. Additionally or alternatively, the information may include a name of the first intellectual property asset, an identification number associated with the first intellectual property asset, a keyword associated with a cluster of the first intellectual property asset included in the first cluster, a technical classification code associated with the first intellectual property asset, a digest associated with the first intellectual property asset, a publication status associated with the first intellectual property asset, a priority date associated with the first intellectual property asset, and/or an entity associated with the first intellectual property asset. Additionally or alternatively, process 1800 may include causing the GUI to display information associated with the first intellectual property asset based at least in part on receiving the second input.

Additionally or alternatively, process 1800 may include determining a relevance score for an individual asset in the second intellectual property asset, the relevance score representing a relevance of the individual asset in the second intellectual property asset relative to the individual asset in the first intellectual property asset. In some examples, the relevance scores of the second intellectual property asset may be determined relative to each other. Additionally or alternatively, the size represented by the individual graphical indicators of the graphical indicators on the interactive graphical element may be based at least in part on the relevance scores of the respective second intellectual property assets.

Additionally or alternatively, the spatial representation may be a first spatial representation. Additionally or alternatively, process 1800 may include receiving, via the GUI, second input data representing a second input. In some examples, the second input data may indicate a zoom gesture. Additionally or alternatively, process 1800 may include determining a zoom percentage associated with the zoom gesture. Additionally or alternatively, process 1800 may include generating an interactive graphical element that includes a second spatial representation of the first cluster. In some examples, the second spatial representation of the first cluster may be based at least in part on a scaling percentage. Additionally or alternatively, the second spatial representation may include at least a portion of the graphical indicator included in the first spatial representation. Additionally or alternatively, process 1800 may include causing the GUI to display a second spatial representation of the first cluster on the interactive graphical element based at least in part on receiving the second input data.

Additionally or alternatively, process 1800 may include causing the GUI to display a slider control configured to receive at least a second input from the computing device. In some examples, the slider control may include at least a lower limit control associated with the first priority date and/or an upper limit control associated with the second priority date. Additionally or alternatively, process 1800 may include receiving, via a slider control displayed on the GUI, second input data representing a second user input. In some examples, the second input data may indicate selection of at least one of a lower limit control or an upper limit control. Additionally or alternatively, process 1800 may include identifying a third priority date for individual second intellectual property assets of the second intellectual property assets included in the first cluster. Additionally or alternatively, process 1800 may include causing the interactive graphical element to hide a graphical indicator associated with a second intellectual property asset having a third priority date that is at least one of a date before the first priority date or a date after the second priority date.

Additionally or alternatively, process 1800 may include identifying a first range of priority dates defined by a lower priority date and/or an upper priority date. In some examples, the first range may include a first number of priority dates. Additionally or alternatively, process 1800 may include determining a priority date of a second range defined by the first priority date and/or the second priority date. In some examples, the second range may include a second number of priority dates. In some examples, the second number of priority dates may be less than or equal to the first number of priority dates. Additionally or alternatively, the process 1800 may include redefining the priority date of the second range as an animation start point. In some examples, redefining the second range may include setting the first priority date equal to the lower priority date and/or setting the second priority date equal to a fourth priority date calculated by adding the second number of priority dates to the first priority date. Additionally or alternatively, process 1800 may include generating an animation sequence. In some examples, generating the animation sequence may be based at least in part on the priority date of the first range and the priority date of the second range. Additionally or alternatively, the animation sequence may include populating the interactive graphical element with individual graphical indicators associated with a second intellectual property asset having a third priority date included within a second range of priority dates, causing the interactive graphical element to hide the individual graphical element of the graphical indicators associated with the second intellectual property asset having a third priority date included within the first range of priority dates but not included within the second range of priority dates, incrementing the first and second priority dates, and/or redefining the second range of priority dates as an animation start point based at least in part on determining that the second priority date is equal to the upper priority date. Additionally or alternatively, process 1800 can include causing the GUI to display an animation control configured to receive a third input from the computing device. Additionally or alternatively, process 1800 may include receiving third input data representing a third user input via an animation control displayed on the GUI. In some examples, the third input data may indicate an action of an animation sequence associated with the animation control. Additionally or alternatively, process 1800 may include causing the interactive graphical element to begin displaying an animation sequence. In some examples, the animation sequence may be configured to repeat until fourth input data representing a fourth user input is received via an animation control displayed on the GUI. In some examples, the fourth input data may indicate an action of an animation sequence associated with the animation control.

FIG. 19 illustrates an example flow diagram of an example process 1900 for generating data representing a result set that includes clusters mapped to products or services provided by a target entity to evaluate and determine an overall exposure level associated with the target entity. The order in which the operations or steps are described is not intended to be construed as a limitation, and any number of the described operations may be combined in any order and/or in parallel to implement process 1900. The operations described with respect to process 1900 are described as being performed by an electronic device and/or remote computing resource associated with an IP posture platform. However, it should be understood that some or all of these operations may be performed by some or all of the components, devices, and/or systems described herein.

At block 1902, the process 1900 may include identifying a first entity having a first intellectual property asset.

At block 1904, process 1900 may include generating data representing one or more result sets. In some examples, the data representing the one or more result sets may be based at least in part on the first intellectual property asset. In some examples, the individual result sets of the one or more result sets include one or more clusters of the first intellectual property asset. In some examples, individual clusters of the one or more clusters may include a plurality of first intellectual property assets. Additionally or alternatively, individual clusters of the one or more clusters may include a first keyword. In some examples, the first keyword may be associated with a plurality of first intellectual property assets. In some examples, the first keyword may be based at least in part on words included in a text portion of the first intellectual property asset.

At block 1906, process 1900 may include identifying a product or service provided by the first entity for an individual cluster of the one or more clusters. In some examples, identifying the product or service provided by the first entity may be based at least in part on the first keyword.

At block 1908, process 1900 may include determining, for an individual cluster of the one or more clusters, a revenue amount associated with the product or service.

At block 1910, the process 1900 may include determining a first exposure level for an individual cluster of the one or more clusters. In some examples, the first exposure level may be based at least in part on a number of first intellectual property assets. Additionally or alternatively, the first exposure level may be based at least in part on a revenue amount associated with the product or service.

At block 1912, the process 1900 may include determining a second exposure level associated with the first entity. In some examples, the second exposure level may be based at least in part on the first exposure level associated with an individual cluster of the one or more clusters.

At block 1914, the process 1900 may include generating a Graphical User Interface (GUI) configured for display on a computing device. In some examples, the GUI may be configured to display the first entity. Additionally or alternatively, the GUI may be configured to display a second exposure level. Additionally or alternatively, the GUI may be configured to receive one or more inputs. The computing device may be any of the electronic devices 102 and/or remote computing resources 104 described with respect to fig. 1. Additionally or alternatively, the GUI may include any of the example user interfaces 300-1100 described with respect to FIGS. 3-11.

Additionally or alternatively, the process 1900 may include receiving, via the GUI, first input data representing a first input. In some examples, the first input data may indicate a selection of a first one of the one or more result sets. Additionally or alternatively, process 1900 may include generating an interactive graphical element. In some examples, the interactive graphical element may include a first spatial representation of a first cluster included in the first result set. In some examples, the first spatial representation may include a graphical indicator representing individual first intellectual property assets of the first intellectual property assets included in the first cluster. In some examples, individual ones of the first graphical indicators may be a distance from each other. In some examples, individual ones of the first graphical indicators may be a distance from each other based at least in part on the technical classification.

Additionally or alternatively, the process 1900 may include receiving, via the GUI, second input data representing a second input. In some examples, the second input data may indicate a selection of a first graphical indicator of the plurality of first graphical indicators. Additionally or alternatively, process 1900 may include identifying information associated with a first intellectual property asset of the plurality of first intellectual property assets. In some examples, the first intellectual property asset may correspond to a first graphical indicator. In some examples, the information may include a first exposure level of a first cluster associated with the first graphical indicator. Additionally or alternatively, the information may include a technical classification of the first intellectual property asset. Additionally or alternatively, the information may include a first product or service provided by the first entity and associated with the first cluster. Additionally or alternatively, the information may include a revenue amount associated with the product or service. Additionally or alternatively, process 1900 may include causing the GUI to display information associated with the first intellectual property asset. In some examples, the GUI may be caused to display information associated with the first intellectual property asset based at least in part on receiving the second input.

Additionally or alternatively, process 1900 may include identifying a portion of the first spatial representation of the first cluster having a first exposure level that exceeds a threshold exposure level. Additionally or alternatively, process 1900 may include causing the first spatial representation to include a representation of the portion. In some examples, the representation of the portion may be represented by a shaded region included on the first spatial representation.

Additionally or alternatively, process 1900 may include generating a second graphical indicator. In some examples, the second graphical indicator may represent coverage gaps between individual first clusters of the first clusters. Additionally or alternatively, process 1900 may include identifying one or more first graphical indicators that are within a threshold proximity of the second graphical indicator. Additionally or alternatively, process 1900 may include generating a second keyword associated with the second graphical indicator. In some examples, the second keyword associated with the second graphical indicator may be based at least in part on words included in a text portion of a first intellectual property asset corresponding to the first graphical indicator within a threshold proximity of the second graphical indicator. Additionally or alternatively, the process 1900 may include causing the interactive graphical element to display a second graphical indicator and a second keyword.

Additionally or alternatively, process 1900 may include associating the first entity with a first insurance packet of the insurance packets. In some examples, associating the first entity with the first insurance packet of the insurance packets may be based at least in part on the second exposure level. Additionally or alternatively, individual ones of the insurance groupings may include an insurance amount. Additionally or alternatively, process 1900 may include displaying a representation of the first security group on the GUI. Additionally or alternatively, the GUI may include a first insurance amount associated with the first insurance packet.

Additionally or alternatively, process 1900 may include determining a first level of correlation for a first result set of the one or more result sets. In some examples, the first level of relevance may be based at least in part on a first number of the one or more clusters included in the first result set and/or a product or service associated with an individual cluster of the one or more clusters included in the first result set. Additionally or alternatively, process 1900 may include determining a second level of relatedness for a second one of the one or more result sets. In some examples, the second level of relatedness may be based at least in part on the second number of the one or more clusters included in the second result set and/or products or services associated with individual ones of the one or more clusters included in the second result set. Additionally or alternatively, process 1900 may include determining that the first level of correlation is more advantageous than the second level of correlation. Additionally or alternatively, process 1900 may include adjusting the second exposure level. In some examples, adjusting the second exposure level may be based at least in part on determining that the first correlation level is more advantageous than the second correlation level.

Additionally or alternatively, process 1900 can include identifying historical data associated with the first entity. In some examples, the historical data may be based at least in part on priority dates associated with each of the first intellectual property assets and/or due dates associated with each of the first intellectual property assets. In some examples, the historical data may indicate one or more trends associated with the first entity. Additionally or alternatively, the second exposure level may be based at least in part on historical data.

Additionally or alternatively, the process 1900 may include identifying a first trend of the one or more trends. In some examples, the first trend may indicate a first change over a period of revenue amount associated with the product or service. Additionally or alternatively, process 1900 may include identifying a second trend of the one or more trends. In some examples, the second trend may indicate a second change in the number of first intellectual property assets associated with the product or service over a period of time. Additionally or alternatively, process 1900 may include determining a rate of change associated with the first entity. In some examples, the change ratio may be based at least in part on the first trend and/or the second trend. In some examples, the rate of change may indicate a first change in the amount of revenue relative to a change in the amount of the first intellectual property asset over a period of time. Additionally or alternatively, the second exposure level may be based at least in part on the rate of change.

Additionally or alternatively, the historical data may indicate litigation history associated with the first intellectual property asset. Additionally or alternatively, the first exposure level of an individual cluster in the one or more clusters may be based at least in part on litigation histories of the plurality of first intellectual property assets.

Example clauses include:

1. a method, comprising: generating a Graphical User Interface (GUI) configured to be displayed on a computing device, the GUI configured to receive input from the computing device; receiving, via the GUI, input data representing an input, the input data indicating that the first entity is identified as a target entity; identifying one or more first intellectual property assets associated with a target entity; generating a first vector representation of the target entity based at least in part on the one or more first intellectual property assets; identifying one or more second entities having one or more second intellectual property assets similar to the one or more first intellectual property assets; generating a second vector representation for an individual second entity of the one or more second entities based at least in part on the one or more second intellectual property assets; determining an ordering of the one or more second entities based at least in part on comparing the first vector representation and the second vector representation of the individual second entities of the one or more second entities; and causing the GUI to display the one or more second entities according to the ranking.

2. The method of clause 1, wherein: the input data also indicates an identification of the target intellectual property asset; and identifying one or more second entities includes identifying one or more second entities having one or more second intellectual property assets similar to the target intellectual property asset.

3. The method of

clause

1 or 2, wherein the input data further indicates an identification of the target product, and the method further comprises: identifying a technical classification of the target product; and wherein identifying one or more second entities includes identifying one or more second entities having one or more second intellectual property assets associated with the technical classification of the target product.

4. The method of any of clauses 1-3, wherein the input data is first input data, and the method further comprises: receiving, via the GUI, second input data indicating a selection of a second entity of the one or more second entities; identifying one or more third intellectual property assets associated with the second entity; determining, for individual ones of the one or more third intellectual property assets, whether the individual asset is associated with a litigation dispute; and generating an exportable file including a list of individual assets associated with the litigation dispute and information associated with the litigation dispute for the respective individual asset.

5. The method of any of clauses 1-4, further comprising: generating a third vector representation for individual ones of the one or more first intellectual property assets based at least in part on text included in at least a portion of the individual ones of the one or more first intellectual property assets; and generating a first vector representation based at least in part on a third vector representation of an individual asset of the one or more first intellectual property assets.

6. The method of any of clauses 1-5, further comprising: identifying a technology classification associated with the target entity based at least in part on the one or more first intellectual property assets, wherein the technology classification includes technology or product associated with at least one of the one or more first intellectual property assets or the target entity; and identifying one or more second entities having one or more second intellectual property assets similar to the one or more first intellectual property assets based at least in part on the technical classifications associated with the target entities.

7. The method of any of clauses 1-6, further comprising: identifying, for individual second entities of the one or more second entities, a number of one or more second intellectual property assets associated with the respective second entities; and causing the GUI to display the one or more second entities according to the ordering and quantity of the one or more second intellectual property assets associated with the respective second entity.

8. A system, comprising: one or more processors; and one or more non-transitory computer-readable media comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: generating a Graphical User Interface (GUI) configured to be displayed on a computing device, the GUI configured to receive input from the computing device; receiving, via the GUI, input data representing an input, the input data indicating an identification number of the first intellectual property asset; identifying one or more second intellectual property assets similar to the first intellectual property asset, the one or more second intellectual property assets being associated with respective first entities; identifying a first entity from among the respective first entities as a target entity based at least in part on the number of one or more second intellectual property assets associated with the first entity satisfying a threshold number; generating a first vector representation of the target entity based at least in part on one or more second intellectual property assets associated with the target entity; identifying one or more second entities having one or more third intellectual property assets similar to the one or more second intellectual property assets; generating a second vector representation for an individual entity of the one or more second entities based at least in part on the one or more third intellectual property assets; determining an ordering of the one or more second entities based at least in part on comparing the first vector representation and the second vector representation of the individual second entities of the one or more second entities; and causing the GUI to display the one or more second entities according to the ranking.

9. The system of clause 8, wherein the input data further indicates an identification of a third entity, and the operations further comprise: identifying one or more fourth intellectual property assets associated with the third entity; and wherein identifying one or more second entities includes identifying one or more second entities having one or more third intellectual property assets similar to the one or more fourth intellectual property assets.

10. The system of clause 8 or 9, wherein the input data further indicates an identification of the target product, and the operations further comprise: identifying a technical classification of the target product; and wherein identifying one or more second entities includes identifying one or more second entities having one or more third intellectual property assets associated with the technical classification of the target product.

11. The system of clause 10, the operations further comprising: identifying a description associated with the target product; determining that text included in the description is similar to text included in at least a portion of one or more third intellectual property assets associated with the one or more second entities; and identifying one or more second entities based at least in part on determining that text included in the description associated with the target product is similar to text included in at least a portion of the one or more third intellectual property assets.

12. The system of any of clauses 8-11, the operations further comprising: determining that the first entity is associated with a most advantageous number of one or more second intellectual property assets; and identifying the first entity as a target entity from the respective first entities based at least in part on determining that the first entity is associated with the most advantageous number of one or more second intellectual property assets.

13. The method of any of clauses 8-12, wherein the input data is first input data, and the method further comprises: receiving, via the GUI, second input data indicating a selection of a second entity of the one or more second entities; identifying one or more fourth intellectual property assets associated with the second entity; determining, for an individual asset of the one or more fourth intellectual property assets, whether the individual asset is associated with a litigation dispute; and generating an exportable file including a list of individual assets of the one or more fourth intellectual property assets associated with the litigation dispute and information associated with the litigation dispute for the respective individual asset.

14. The system of any of clauses 8-13, the operations further comprising: identifying a technology classification associated with the target entity based at least in part on the one or more second intellectual property assets, wherein the technology classification includes technology or product associated with at least one of the one or more second intellectual property assets or the target entity; and identify one or more second entities having one or more third intellectual property assets similar to the one or more second intellectual property assets based at least in part on the technical classifications associated with the target entities.

15. A method, comprising: generating a Graphical User Interface (GUI) configured to be displayed on a computing device, the GUI configured to receive input from the computing device; receiving, via the GUI, input data representing an input, the input data indicating an identification of a target product; identifying a technical feature associated with the target product; identifying one or more first intellectual property assets associated with the product based at least in part on the technical features, the one or more first intellectual property assets being associated with respective first entities; determining from the respective first entities that the first entity is associated with a most advantageous number of one or more first intellectual property assets; identifying the first entity as a target entity based at least in part on determining that the first entity is associated with a most advantageous number of one or more first intellectual property assets; generating a first vector representation of the target entity based at least in part on one or more first intellectual property assets associated with the target entity; identifying one or more second entities having one or more second intellectual property assets similar to the one or more first intellectual property assets; generating a second vector representation for an individual second entity of the one or more second entities based at least in part on the one or more second intellectual property assets; determining an ordering of the one or more second entities based at least in part on comparing the first vector representation and the second vector representation of the individual second entities of the one or more second entities; and causing the GUI to display the one or more second entities according to the ranking.

16. The method of clause 15, wherein the input data further indicates an identification of a third entity, and the method further comprises: identifying one or more third intellectual property assets associated with the third entity; and wherein identifying one or more second entities includes identifying one or more second entities having one or more second intellectual property assets similar to the one or more third intellectual property assets.

17. The method of clause 15 or 16, wherein: the input data also indicates an identification of the target intellectual property asset; and identifying one or more second entities includes identifying one or more second entities having one or more second intellectual property assets similar to the target intellectual property asset.

18. The method of any of clauses 15-17, wherein the input data is first input data, and the method further comprises: receiving, via the GUI, second input data indicating a selection of a second entity of the one or more second entities; identifying one or more third intellectual property assets associated with the second entity; determining, for an individual asset of the one or more third intellectual property assets, whether the individual asset is associated with a litigation dispute; and generating an exportable file including a list of individual assets associated with the litigation dispute and information associated with the litigation dispute for the respective individual asset.

19. The method of any of clauses 15-18, further comprising: identifying a description associated with the target product; determining that text included in the description is similar to text included in at least a portion of one or more second intellectual property assets associated with the one or more second entities; and identifying one or more second entities based at least in part on determining that text included in the description associated with the target product is similar to text included in at least a portion of the one or more second intellectual property assets.

20. The method of any of clauses 15-19, further comprising: determining that the first entity is associated with a quantity of one or more first intellectual property assets that meets a threshold quantity; and identifying a first entity from the respective first entities as a target entity based at least in part on determining that the first entity is associated with the one or more first intellectual property assets satisfying the threshold number.

21. A method, comprising: identifying a first entity having a first intellectual property asset; generating a Graphical User Interface (GUI) configured to be displayed on a computing device, the GUI configured to: displaying one or more second entities having second intellectual property assets similar to the one or more first intellectual property assets; and receiving input from the computing device; receiving, via the GUI, input data representing an input, the input data indicating a selection of at least one of the one or more second entities as the selected entity; generating data representing one or more result sets based at least in part on a second intellectual property asset associated with the selected entity, wherein the individual result sets in the one or more result sets comprise one or more clusters of the second intellectual property asset, wherein individual clusters in the one or more clusters comprise at least: a plurality of second intellectual property assets; and keywords associated with the plurality of second intellectual property assets, wherein the keywords are based at least in part on words included in text portions of the plurality of second intellectual property assets; and causing the GUI to display a first result set of the one or more result sets, the first result set comprising at least: a first cluster of the one or more clusters of the second intellectual property asset; the first quantity represents a quantity of second intellectual property assets associated with a cluster of individuals in the first cluster; the second number represents a number of first clusters of the one or more clusters; and a first keyword associated with an individual cluster of the first cluster.

22. The method of clause 21, further comprising: identifying a foreign intellectual property asset and a design intellectual property asset from the second intellectual property asset as a third intellectual property asset; and removing the third intellectual property asset from the second intellectual property asset before generating data representative of the one or more result sets.

23. The method of clause 21 or 22, further comprising: generating a first vector representation for individual ones of the first intellectual property assets based at least in part on the first text included in the individual first intellectual property assets; generating a second vector representation for individual ones of the second intellectual property assets based at least in part on the second text included in the individual second intellectual property assets; and determining that the second intellectual property asset is similar to the first intellectual property asset based at least in part on comparing the first vector representation of the individual first intellectual property asset of the first intellectual property asset with the second vector representation of the individual second intellectual property asset of the second intellectual property asset.

24. The method of any of clauses 21-23, wherein: the first cluster includes: a first cluster comprising a first clustered intellectual property asset from a second intellectual property asset; and a second aggregate comprising second aggregate intellectual property assets from a second intellectual property asset; and at least one first clustered intellectual property asset is different from at least one second clustered intellectual property asset; or at least one first clustered intellectual property asset is duplicated with at least one second clustered intellectual property asset.

25. The method of any of clauses 21-24, wherein individual result sets of the one or more result sets are associated with a granularity level, and the method further comprises: determining that the first result set is associated with a first level of granularity; generating a first cluster of the one or more clusters, wherein the first cluster is associated with a first level of granularity; generating a second cluster of one or more clusters of the second intellectual property asset, wherein the second cluster is associated with the first level of granularity; determining a first score associated with the first cluster based at least in part on the first keywords associated with the first clusters of individuals in the first cluster; determining a second score associated with a second cluster based at least in part on a second keyword associated with a second cluster of individuals in the second cluster; and selecting a first cluster for the first result set associated with the first level of granularity based at least in part on the first score being more favorable than the second score.

26. The method of any of clauses 21-25, wherein the input is a first input, and the method further comprises: causing the GUI to display one or more controls for receiving a second input from the computing device; receiving a second input via one or more controls; and causing the GUI to display a second result set of the one or more result sets, the second result set being different from the first result set.

27. A system, comprising: one or more processors; and one or more non-transitory computer-readable media comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: identifying a first entity having a first intellectual property asset; generating a Graphical User Interface (GUI) configured to be displayed on a computing device, the GUI configured to: displaying a second entity having second intellectual property assets similar to one or more of the first intellectual property assets; and receiving input from the computing device; receiving, via the GUI, input data representing an input, the input data indicating a selection of at least one of the second entities as the selected entity; generating first data representing one or more result sets based at least in part on a second intellectual property asset associated with the selected entity, wherein individual result sets of the one or more result sets comprise at least: a first cluster comprising: a first number of second intellectual property assets included in a first portion of the second intellectual property assets associated with the selected entity; and a first keyword associated with a first portion of a second intellectual property asset; the second class includes: a second number of second intellectual property assets included in a second portion of the second intellectual property assets associated with the selected entity; and a second keyword associated with a second portion of a second intellectual property asset; and causing the GUI to display a first result set of the result sets including at least the first cluster and the second cluster.

28. The system of clause 27, wherein: the first keyword is based at least in part on a first word included in a text portion of a first portion of the second intellectual property asset; and the second keyword is based at least in part on a second word included in a text portion of a second portion of the second intellectual property asset.

29. The system of clauses 27 or 28, wherein: at least one individual intellectual property asset of the first portion of the second intellectual property asset being different from at least one individual intellectual property asset of the second portion of the second intellectual property asset; or at least one individual intellectual property asset of the first portion of the second intellectual property asset is duplicated with at least one individual intellectual property asset of the second portion of the second intellectual property asset.

30. The system of any of clauses 27-29, the operations further comprising: identifying a foreign intellectual property asset and a design intellectual property asset from the second intellectual property asset as a third intellectual property asset; and removing the third intellectual property asset from the second intellectual property asset before generating the first data representing the one or more result sets.

31. The method of any of clauses 27-30, further comprising: generating a first vector representation for individual ones of the first intellectual property assets based at least in part on the first text included in the individual first intellectual property assets; generating a second vector representation for individual ones of the second intellectual property assets based at least in part on the second text included in the individual second intellectual property assets; and determining that the second intellectual property asset is similar to the first intellectual property asset based at least in part on comparing the first vector representation of the individual first intellectual property asset of the first intellectual property asset with the second vector representation of the individual second intellectual property asset of the second intellectual property asset.

32. The system of any of clauses 27-31, wherein the input is a first input, and the operations further comprise: causing the GUI to display one or more controls for receiving a second input from the computing device, the second input representing a user-specified keyword for at least one of the first cluster or the second cluster; and causing the GUI to display a second result set of the one or more result sets based at least in part on receiving the second input, the second result set being different from the first result set.

33. The system of any of clauses 27-32, wherein the individual result sets in the one or more result sets further comprise a third cluster comprising: a third number of second intellectual property assets included in a third portion of the second intellectual property assets associated with the selected entity; and a third keyword associated with a third portion of the second intellectual property asset; and the operations further comprise: determining a first score associated with the first cluster based at least in part on the first portion of the second intellectual property asset; determining a second score associated with a third category based at least in part on a third portion of the second intellectual property asset; determining that the first number of second intellectual property assets included in the first portion is within a threshold range of a third number of second intellectual property assets included in the third portion; and selecting the first cluster for inclusion in the first result set based at least in part on the first score being more favorable than the second score.

34. A method, comprising: identifying a first entity having a first intellectual property asset; generating a Graphical User Interface (GUI) configured to be displayed on a computing device, the GUI configured to: displaying a second entity having second intellectual property assets similar to one or more of the first intellectual property assets; and receiving input from the computing device; receiving, via the GUI, input data representing an input, the input data indicating a selection of at least one of the second entities as the selected entity; based at least in part on the second intellectual property asset associated with the selected entity, generating first data representing a first result set comprising at least: a first cluster comprising a first portion of a second intellectual property asset associated with the selected entity; a first number of second intellectual property assets included in the first portion; a first keyword associated with a first portion of a second intellectual property asset; a second cluster comprising a second portion of a second intellectual property asset associated with the selected entity; a second number of second intellectual property assets included in a second portion; a second keyword associated with a second portion of a second intellectual property asset; and causing the GUI to display the first result set.

35. The method of clause 34, further comprising: based at least in part on a second intellectual property asset associated with the selected entity, generating second data representing a second result set different from the first result set, the second result set comprising at least: a third cluster comprising a third portion of a second intellectual property asset associated with the selected entity; a third number of second intellectual property assets included in a third portion; a third keyword associated with a third portion of the second intellectual property asset; a fourth cluster comprising a fourth portion of the second intellectual property asset associated with the selected entity; a fourth portion comprising a fourth number of second intellectual property assets; and a fourth keyword associated with a fourth portion of the second intellectual property asset; determining a first score associated with the first result set based at least in part on the first cluster and the second cluster; determining a second score associated with the second result set based at least in part on the third cluster and the fourth cluster; and causing the GUI to display the first result set based at least in part on the first score being more favorable than the second score.

36. The method of clause 35, wherein the input is a first input, and the method further comprises: causing the GUI to display one or more controls for receiving a second input from the computing device; receiving a second input via one or more controls; and causing the GUI to display a second result set based at least in part on receiving the second input.

37. The method of any of clauses 34-36, wherein at least one individual intellectual property asset of a first portion of the second intellectual property assets included in the first cluster is different from at least one individual intellectual property asset of a second portion of the second intellectual property assets included in the second cluster; or at least one individual intellectual property asset of the first portion of the second intellectual property asset comprised in the first cluster is duplicated with at least one individual intellectual property asset of the second portion of the second intellectual property asset comprised in the second cluster.

38. The method of any of clauses 34-37, further comprising: identifying a foreign intellectual property asset and a design intellectual property asset from the second intellectual property asset as a third intellectual property asset; and removing the third intellectual property asset from the second intellectual property asset before generating the first data representing the one or more result sets.

39. The method of any of clauses 34-38, further comprising: generating a first vector representation for individual ones of the first intellectual property assets based at least in part on the first text included in the individual first intellectual property assets; generating a second vector representation for individual ones of the second intellectual property assets based at least in part on the second text included in the individual second intellectual property assets; and determining that the second intellectual property asset is similar to the first intellectual property asset based at least in part on comparing the first vector representation of the individual first intellectual property asset of the first intellectual property asset with the second vector representation of the individual second intellectual property asset of the second intellectual property asset.

40. The method of any of clauses 34-39, wherein: the first keyword is based at least in part on a first word included in a text portion of a first portion of the second intellectual property asset; and the second keyword is based at least in part on a second word included in a text portion of a second portion of the second intellectual property asset.

41. The method according to any of clauses 21-26, further comprising: determining that a first intellectual property asset of the second intellectual property assets is not associated with one or more clusters of the second intellectual property asset; generating a probability that the first intellectual property asset is associated with the individual cluster for the individual cluster of the one or more clusters; identifying a first probability associated with a first cluster of the one or more clusters as a most favorable probability for an individual cluster of the one or more clusters; and assigning the first intellectual property asset to the first cluster based at least in part on the first probability being a most favorable probability for an individual cluster of the one or more clusters.

42. The method of any of clauses 21-26 or 41, wherein the input is a first input and the input data is first input data, and the method further comprises: determining that a first intellectual property asset of the second intellectual property asset is not associated with one or more clusters of the second intellectual property asset; receiving, via the GUI, second input data representing a second input, the second input data representing an assignment of the first intellectual property asset to a first cluster of the one or more clusters; and assign the first intellectual property asset to the first cluster based at least in part on the second input data.

43. A method, comprising: based at least in part on the first entities having first intellectual property assets, identifying one or more second entities having second intellectual property assets that are similar to one or more of the first intellectual property assets; generating data representing one or more result sets based at least in part on the second intellectual property asset, wherein individual result sets in the one or more result sets comprise one or more clusters of the second intellectual property asset; generating a Graphical User Interface (GUI) configured to be displayed on the computing device, the GUI configured to display one or more result sets and receive at least a first input from the computing device; receiving, via the GUI, first input data representing a first input, the first input data indicating a selection of a first one of the one or more result sets; generating an interactive graphical element comprising a spatial representation of a first cluster included in the first result set, the spatial representation comprising a graphical indicator representing individual second intellectual property assets of the second intellectual property assets included in the first cluster, wherein individual indicators in the graphical indicator are separated from each other based at least in part on a technical classification of the respective second intellectual property asset; and causing the GUI to display the interactive graphical element.

44. The method of clause 43, wherein: the first cluster includes: a first cluster; a first keyword associated with the first cluster, wherein the first keyword is based at least in part on a first word included in a text portion of a second intellectual property asset included in the first cluster; a second cluster; a second keyword associated with a second cluster, wherein the second keyword is based at least in part on a second word included in a text portion of a second intellectual property asset included in the first cluster; the graphical indicator includes: a first graphical indicator corresponding to a second intellectual property asset included in the first cluster; the second graphical indicator corresponds to a second intellectual property asset included in a second cluster.

45. The method of clause 44, wherein: the first graphical indicator comprises a first color; the second graphical indicator includes a second color different from the first color; the interactive graphic element further includes: a first keyword displayed at a first central location of a first graphical indicator associated with a first cluster, wherein the first keyword is represented in a first color; and a second keyword displayed at a second central location of a second graphical indicator associated with a second category, wherein the second keyword is represented in a second color.

46. The method of clause 44, further comprising: receiving, via the GUI, second input data representing a second user input, the second input data indicating a selection of a filter of the spatial representation; determining that the selection of the filter is associated with at least one of the first clusters of the second clusters; and based at least in part on the second user input, causing the spatial representation to hide at least one of the first graphical indicator associated with the first cluster or the second graphical indicator associated with the second cluster on the interactive graphical element.

47. The method of any of clauses 43-46, wherein individual ones of the graphical indicators comprise: a first color corresponding to a cluster in a first cluster including second intellectual property assets of the individual; and a second color corresponding to an entity of a second intellectual property asset of the individual; and the method further comprises: receiving, via the GUI, second input data representing a second user input, the second input data representing a selection of at least one of a clustered view of the spatial representation or an entity view of the spatial representation; and based at least in part on the second user input, causing individual graphical indicators included in the spatial representation to be represented in one of the first color or the second color.

48. The method of any of clauses 43-47, further comprising: receiving, via the GUI, second input data representing a second input, the second input data indicating selection of a first one of the graphical indicators; identifying information associated with a first intellectual property asset of the second intellectual property assets corresponding to the first graphical indicator, wherein the information comprises at least one of: a score associated with the first intellectual property asset, the score based at least in part on a first word included in a first text portion of the first intellectual property asset relative to a second word included in a second portion of the second intellectual property asset; a title of the first intellectual property asset; an identification number associated with the first intellectual property asset; keywords associated with clusters in a first cluster comprising a first intellectual property asset; a technical classification code associated with the first intellectual property asset; a digest associated with the first intellectual property asset; a publication status associated with the first intellectual property asset; a priority date associated with the first intellectual property asset; and an entity associated with the first intellectual property asset; and based at least in part on receiving the second input, causing the GUI to display information associated with the first intellectual property asset.

49. The method of any of clauses 43-48, further comprising: determining, for individual ones of the second intellectual property assets, a relevance score representing the individual ones of the second intellectual property assets relative to the individual ones of the first intellectual property assets, the relevance scores of the second intellectual property assets being determined relative to each other; and wherein the size of the individual ones of the graphical indicators represented on the interactive graphical element is based at least in part on the relevance score of the respective second intellectual property asset.

50. The method of any of clauses 43-49, wherein the spatial representation is a first spatial representation, and the method further comprises: receiving, via the GUI, second input data representing a second input, the second input data representing a zoom gesture; determining a zoom percentage associated with the zoom gesture; generating an interactive graphical element comprising a second spatial representation of the first cluster based at least in part on the scaling percentage, wherein the second spatial representation comprises at least a portion of the graphical indicators included in the first spatial representation; and based at least in part on receiving the second input data, causing the GUI to display a second spatial representation of the first cluster on the interactive graphical element.

51. The method of any of clauses 43-50, further comprising: causing the GUI to display a slider control configured to receive at least a second input from the computing device, the slider control comprising at least: a lower limit control associated with the first priority date; and an upper limit control associated with the second priority date; receiving, via a slider control displayed on the GUI, second input data representing a second user input, the second input data indicating selection of at least one of a lower limit control or an upper limit control; identifying a third priority date for individual second intellectual property assets of the second intellectual property assets included in the first cluster; and causing the interactive graphical element to hide a graphical indicator associated with a second intellectual property asset having a third priority date that is at least one of before the first priority date or after the second priority date.

52. The method of any of clauses 43-51, further comprising: identifying a first range of priority dates defined by a lower priority date and an upper priority date, wherein the first range includes a first number of priority dates; determining a second range of priority dates defined by the first priority date and a second priority date, wherein the second range includes a second number of priority dates, wherein the second number of priority dates is less than or equal to the first number of priority dates; redefining the priority date of the second range as the animation start point by: setting the first priority date equal to the lower priority date; setting the second priority date equal to a fourth priority date calculated by adding the second number of priority dates to the first priority date; generating an animation sequence based at least in part on the priority date of the first range and the priority date of the second range, comprising: populating the interactive image element with individual ones of the graphical indicators associated with a second intellectual property asset having a third priority date included within a second range of priority dates; (ii) Causing the interactive graphical element to hide individual ones of the graphical indicators associated with a second intellectual property asset having a third priority date that is included within the first range of priority dates but not within the second range of priority dates; (iii) Incrementing the first priority date and the second priority date; and (iv) redefining the priority date of the second range as an animation start point based at least in part on determining that the second priority date is equal to the upper bound priority date; causing the GUI to display an animation control configured to receive a third input from the computing device; receiving, via an animation control displayed on the GUI, third input data representing a third user input, the third input data representing an action of an animation sequence associated with the animation control; and causing the interactive graphical element to begin displaying the animation sequence, wherein the animation sequence is configured to repeat until fourth input data representing a fourth user input is received via an animation control displayed on the GUI, the fourth input data representing an action of the animation sequence associated with the animation control.

53. The method of any of clauses 43-52, further comprising: causing the GUI to display a slider control configured to receive at least a second input from the computing device, the slider control comprising at least: a lower limit control associated with the first score; and an upper limit control associated with the second score; generating a third fractional asset for individual second intellectual property assets included in the first cluster based at least in part on the text portion of the second intellectual property asset relative to words included in other portions of the second intellectual property asset; receiving, via the slider control, second input data representing a second user input, the second input data indicating selection of at least one of the lower limit control or the upper limit control; and causing the interactive graphical element to hide a graphical indicator associated with a second intellectual property asset having a third score that is at least one of less than the first score or greater than the second score.

54. A system, comprising: one or more processors; and one or more non-transitory computer-readable media comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: based at least in part on the first entities having first intellectual property assets, identifying one or more second entities having second intellectual property assets that are similar to one or more of the first intellectual property assets; generating data representing one or more result sets based at least in part on the second intellectual property asset, wherein individual result sets in the one or more result sets comprise one or more clusters of the second intellectual property asset; generating a Graphical User Interface (GUI) configured to be displayed on the computing device, the GUI configured to display one or more result sets and receive at least a first input from the computing device; receiving, via the GUI, first input data representing a first input, the first input data indicating a selection of a first one of the one or more result sets; generating an interactive graphical element comprising a spatial representation of a first cluster included in the first result set, the spatial representation comprising a graphical indicator representing individual second intellectual property assets of the second intellectual property assets included in the first cluster, wherein individual indicators in the graphical indicator are separated from each other based at least in part on a technical classification of the respective second intellectual property asset; and causing the GUI to display the interactive graphical element.

55. The system of clause 54, wherein: the first cluster includes: a first cluster; a first keyword associated with the first cluster, wherein the first keyword is based at least in part on a first word included in a text portion of a second intellectual property asset included in the first cluster; a second cluster; a second keyword associated with a second cluster, wherein the second keyword is based at least in part on a second word included in a text portion of a second intellectual property asset included in the first cluster; the graphical indicator includes: a first graphical indicator corresponding to a second intellectual property asset included in the first cluster, the first graphical indicator including a first color; a second graphical indicator corresponding to a second intellectual property asset included in a second cluster, the second graphical indicator including a second color different from the first color; the interactive graphic element further includes: a first keyword displayed at a first central location of a first graphical indicator associated with a first cluster, wherein the first keyword is represented in a first color; a second keyword displayed in a second central location of a second graphical indicator associated with a second category, wherein the second keyword is represented in a second color; and the operations further comprise: receiving, via the GUI, second input data representing a second user input, the second input data indicating a selection of a filter of the spatial representation; determining that the selection of the filter is associated with at least one of the first clusters of the second clusters; based at least in part on the second user input, causing the spatial representation to hide at least one of a first graphical indicator associated with the first cluster or a second graphical indicator associated with the second cluster on the interactive graphical element.

56. The method of any of clauses 54 or 55, wherein individual ones of the graphical indicators comprise: a first color corresponding to a cluster in a first cluster including second intellectual property assets of the individual; and a second color corresponding to an entity of a second intellectual property asset of the individual; and the operations further comprise: receiving, via the GUI, second input data representing a second user input, the second input data representing a selection of at least one of a clustered view of the spatial representation or an entity view of the spatial representation; and based at least in part on the second user input, causing individual graphical indicators included in the spatial representation to be represented in one of the first color or the second color.

57. The system of any of clauses 54-56, the operations further comprising: receiving, via the GUI, second input data representing a second input, the second input data representing a selection of a first one of the graphical indicators; identifying information associated with a first intellectual property asset of the second intellectual property assets corresponding to the first graphical indicator, wherein the information comprises at least one of: a score associated with the first intellectual property asset, the score based at least in part on a first word included in a first text portion of the first intellectual property asset relative to a second word included in a second portion of the second intellectual property asset; a title of the first intellectual property asset; an identification number associated with the first intellectual property asset; keywords associated with clusters in a first cluster comprising a first intellectual property asset; a technical classification code associated with the first intellectual property asset; a digest associated with the first intellectual property asset; a publication status associated with the first intellectual property asset; a priority date associated with the first intellectual property asset; and an entity associated with the first intellectual property asset; and based at least in part on receiving the second input, causing the GUI to display information associated with the first intellectual property asset.

58. The system of any of clauses 54-57, the operations further comprising: determining a claim width score for individual ones of the second intellectual property assets, the score representing a width of claims included in the individual ones of the second intellectual property assets relative to one another; and wherein the size of an individual graphical indicator of the graphical indicators represented on the interactive graphical element is based at least in part on a claim width score of the corresponding second intellectual property asset.

59. The system of any of clauses 54-58, wherein the spatial representation is a first spatial representation, and the operations further comprise: receiving, via the GUI, second input data representing a second input, the second input data representing a zoom gesture; determining a zoom percentage associated with the zoom gesture; generating an interactive graphical element comprising a second spatial representation of the first cluster based at least in part on the scaling percentage, wherein the second spatial representation comprises at least a portion of the graphical indicators included in the first spatial representation; and based at least in part on receiving the second input data, causing the GUI to display a second spatial representation of the first cluster on the interactive graphical element.

60. The system of any of clauses 54-59, the operations further comprising: causing the GUI to display a slider control configured to receive at least a second input from the computing device, the slider control comprising at least: a lower limit control associated with the first priority date; and an upper limit control associated with the second priority date; receiving, via a slider control displayed on the GUI, second input data representing a second user input, the second input data indicating selection of at least one of a lower limit control or an upper limit control; identifying a third priority date for individual second intellectual property assets of the second intellectual property assets included in the first cluster; and causing the interactive graphical element to hide a graphical indicator associated with a second intellectual property asset having a third priority date that is at least one of before the first priority date or after the second priority date.

61. The method of clause 60, the operations further comprising: identifying a first range of priority dates defined by a lower priority date and an upper priority date, wherein the first range includes a first number of priority dates; determining a second range of priority dates defined by the first priority date and a second priority date, wherein the second range includes a second number of priority dates, wherein the second number of priority dates is less than or equal to the first number of priority dates; redefining the priority date of the second range as the animation start point by: setting the first priority date equal to the lower priority date; setting the second priority date equal to a fourth priority date calculated by adding the second number of priority dates to the first priority date; generating an animation sequence based at least in part on the priority date of the first range and the priority date of the second range, comprising: populating the interactive image element with individual ones of the graphical indicators associated with a second intellectual property asset having a third priority date included within a second range of priority dates; (ii) Causing the interactive graphical element to hide individual ones of the graphical indicators associated with a second intellectual property asset having a third priority date that is included within the first range of priority dates but not within the second range of priority dates; (iii) Incrementing the first priority date and the second priority date; and (iv) redefining the priority date of the second range as an animation start point based at least in part on determining that the second priority date is equal to the upper bound priority date; causing the GUI to display an animation control configured to receive a third input from the computing device; receiving, via an animation control displayed on the GUI, third input data representing a third user input, the third input data representing an action of an animation sequence associated with the animation control; and causing the interactive graphical element to begin displaying the animation sequence, wherein the animation sequence is configured to repeat until fourth input data representing a fourth user input is received via an animation control displayed on the GUI, the fourth input data representing an action of the animation sequence associated with the animation control.

62. The system of any of clauses 54-61, the operations further comprising: causing the GUI to display a slider control configured to receive at least a second input from the computing device, the slider control comprising at least: a lower limit control associated with the first score; and an upper limit control associated with the second score; generating a third fractional asset for individual second intellectual property assets included in the first cluster based at least in part on the text portion of the second intellectual property asset relative to words included in other portions of the second intellectual property asset; receiving, via the slider control, second input data representing a second user input, the second input data indicating selection of at least one of the lower limit control or the upper limit control; and causing the interactive graphical element to hide a graphical indicator associated with a second intellectual property asset having a third score that is at least one of less than the first score or greater than the second score.

63. A method, comprising: identifying a first entity having a first intellectual property asset; generating data representing one or more result sets based at least in part on the first intellectual property asset, wherein individual result sets in the one or more result sets comprise one or more clusters of the first intellectual property asset, wherein individual clusters in the one or more clusters comprise at least: a plurality of first intellectual property assets; and a first keyword associated with the plurality of first intellectual property assets, wherein the first keyword is based at least in part on a child included in a text portion of the plurality of first intellectual property assets; for individual clusters of the one or more clusters: identifying a product or service provided by the first entity based at least in part on the first keyword; determining an amount of revenue associated with the product or service; determining a first risk exposure level based at least in part on the number of first intellectual property assets and a revenue amount associated with the product or service; determining a second exposure level associated with the first entity based at least in part on the first exposure level associated with the individual cluster in the one or more clusters; and generating a Graphical User Interface (GUI) configured to be displayed on the computing device, the GUI configured to display the first entity and the second exposure level.

64. The method of clause 63, wherein the GUI is configured to receive one or more inputs, and the method further comprises: receiving, via the GUI, first input data representing a first input representing a selection of a first one of the one or more result sets; generating an interactive graphical element comprising a first spatial representation of a first cluster included in the first result set, the first spatial representation comprising a first graphical indicator representing individual first intellectual property assets of a first intellectual property asset included in the first cluster, wherein the individual first graphical indicators of the first graphical indicator are separated from each other based at least in part on the technical classification; and causing the GUI to display the interactive graphical element.

65. The method of clause 64, further comprising: receiving, via the GUI, second input data representing a second input, the second input data indicating a selection of a first graphical indicator of the plurality of first graphical indicators; identifying information associated with a first intellectual property asset of a plurality of first intellectual property assets corresponding to a first graphical indicator, wherein the information includes at least one of: a first exposure level of a first cluster associated with the first graphical indicator; technical classification of a first intellectual property asset; a first product or service provided by the first entity and associated with the first cluster; and an amount of revenue associated with the product or service; and based at least in part on receiving the second input, causing the GUI to display information associated with the first intellectual property asset.

66. The method of clause 64, further comprising: identifying a portion of a first spatial representation of a first cluster having a first exposure level that exceeds a threshold exposure level; and causing the first spatial representation to include a representation of the portion, wherein the representation of the portion is represented by a shaded region included on the first spatial representation.

67. The method of clause 64, further comprising: generating a second graphical indicator representing a coverage gap between the first clusters of individuals in the first clusters; identifying one or more first graphical indicators that are within a threshold proximity of the second graphical indicator; generating a second keyword associated with the second graphical indicator based at least in part on words included in a text portion of the first intellectual property asset corresponding to the first graphical indicator within a threshold proximity of the second graphical indicator; and causing the interactive graphical element to display the second graphical indicator and the second keyword.

68. The method of any of clauses 63-67, further comprising: associating the first entity with a first policy group of policy groups based at least in part on the second exposure level, individual policy groups in the policy groups including policy amounts; and wherein the GUI is further configured to display a representation of the first insurance packet and the first insurance amount associated with the first insurance packet.

69. The method of any of clauses 63-68, further comprising: determining a first level of relevance for a first set of one or more results based at least in part on a first number of one or more clusters included in the first set of results and products or services associated with individual clusters in the one or more clusters included in the first set of results; determining a second level of relevance for a second set of one or more of the results based at least in part on a second number of one or more clusters included in the second set of results and products or services associated with individual clusters in the one or more clusters included in the second set of results; determining the first correlation level is more advantageous than the second correlation level; and adjusting the second exposure level based at least in part on determining that the first correlation level is more favorable than the second correlation level.

70. The method of any of clauses 63-69, further comprising: identifying historical data associated with the first entity based at least in part on a priority date associated with individual ones of the first intellectual property assets and a due date associated with the individual ones of the first intellectual property assets, the historical data representing one or more trends associated with the first entity; and wherein the second exposure level is based at least in part on the historical data.

71. The method of clause 70, further comprising: identifying a first trend of the one or more trends, the first trend representing a first change in an amount of revenue associated with the product or service over a period of time; identifying a second trend of the one or more trends, the second trend representing a second change in the number of first intellectual property assets associated with the product or service over a period of time; determining a rate of change associated with the first entity based at least in part on the first trend and the second trend, the rate of change representing a change in a first amount of revenue relative to a first amount of intellectual property assets over a period of time; and wherein the second exposure level is based at least in part on the rate of change.

72. The method of clause 70, wherein the historical data further indicates litigation histories associated with the first intellectual property asset and the first exposure level of the individual clusters in the one or more clusters is based at least in part on the litigation histories of the plurality of first intellectual property assets.

73. A system, comprising: one or more processors; and one or more non-transitory computer-readable media comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: identifying a first entity having a first intellectual property asset; generating data representing one or more result sets based at least in part on the first intellectual property asset, wherein individual result sets in the one or more result sets comprise one or more clusters of the first intellectual property asset, wherein individual clusters in the one or more clusters comprise at least: a plurality of first intellectual property assets; and a first keyword associated with the plurality of first intellectual property assets, wherein the first keyword is based at least in part on words included in text portions of the plurality of first intellectual property assets; for individual clusters of the one or more clusters: identifying a product or service provided by the first entity based at least in part on the first keyword; determining an amount of revenue associated with the product or service; determining a first risk exposure level based at least in part on the number of first intellectual property assets and a revenue amount associated with the product or service; determining a second exposure level associated with the first entity based at least in part on the first exposure level associated with the individual cluster in the one or more clusters; and generating a Graphical User Interface (GUI) configured to be displayed on the computing device, the GUI configured to display the first entity and the second exposure level and receive one or more inputs.

74. The system of clause 73, the operations further comprising: receiving, via the GUI, first input data representing a first input, the first input data indicating a selection of a first one of the one or more result sets; generating an interactive graphical element comprising a first spatial representation of a first cluster included in the first result set, the first spatial representation comprising a first graphical indicator representing individual first intellectual property assets of a first intellectual property asset included in the first cluster, wherein the individual first graphical indicators of the first graphical indicator are separated from each other based at least in part on the technical classification; and causing the GUI to display the interactive graphical element.

75. The system of clause 74, the operations further comprising: receiving, via the GUI, second input data representing a second input, the second input data indicating a selection of a first graphical indicator of the plurality of first graphical indicators; identifying information associated with a first intellectual property asset of a plurality of first intellectual property assets corresponding to a first graphical indicator, wherein the information includes at least one of: a first exposure level of a first cluster associated with the first graphical indicator; technical classification of a first intellectual property asset; a first product or service provided by the first entity and associated with the first cluster; and an amount of revenue associated with the product or service; and based at least in part on receiving the second input, causing the GUI to display information associated with the first intellectual property asset.

76. The system of clauses 74 or 75, the operations further comprising: identifying a portion of a first spatial representation of a first cluster having a first exposure level that exceeds a threshold exposure level; and causing the first spatial representation to include a representation of the portion, wherein the representation of the portion is represented by a shaded region included on the first spatial representation.

77. The system of any of clauses 74-76, the operations further comprising: generating a second graphical indicator representing a coverage gap between the first clusters of individuals in the first clusters, the method further comprising: identifying one or more first graphical indicators that are within a threshold proximity of the second graphical indicator; generating a second keyword associated with the second graphical indicator based at least in part on words included in a text portion of the first intellectual property asset corresponding to the first graphical indicator within a threshold proximity of the second graphical indicator; and causing the interactive graphical element to display the second graphical indicator and the second keyword.

78. The system of any of clauses 73-77, the operations further comprising: associating the first entity with a first policy group of policy groups based at least in part on the second exposure level, individual policy groups in the policy groups including policy amounts; and wherein the GUI is further configured to display a representation of the first insurance packet and the first insurance amount associated with the first insurance packet.

79. The system of any of clauses 73-78, the operations further comprising: determining a first level of relevance for a first set of one or more results based at least in part on a first number of one or more clusters included in the first set of results and products or services associated with individual clusters in the one or more clusters included in the first set of results; determining a second level of relevance for a second set of one or more of the results based at least in part on a second number of one or more clusters included in the second set of results and products or services associated with individual clusters in the one or more clusters included in the second set of results; determining the first correlation level is more advantageous than the second correlation level; and adjusting the second exposure level based at least in part on determining that the first correlation level is more favorable than the second correlation level.

80. The system of any of clauses 73-79, the operations further comprising: identifying historical data associated with the first entity based at least in part on one or more priority dates associated with individual ones of the first intellectual property assets and expiration dates associated with individual ones of the first intellectual property assets, the historical data representing one or more trends associated with the first entity; and wherein the second exposure level is based at least in part on the historical data.

81. The system of any of clauses 73-80, the operations further comprising: identifying a first trend of the one or more trends, the first trend representing a first change in an amount of revenue associated with the product or service over a period of time; identifying a second trend of the one or more trends, the second trend representing a second change in the number of first intellectual property assets associated with the product or service over a period of time; determining a rate of change associated with the first entity based at least in part on the first trend and the second trend, the rate of change representing a change in a first amount of revenue relative to a first amount of intellectual property assets over a period of time; and wherein the second exposure level is based at least in part on the rate of change.

82. The system of any of clauses 73-81, wherein the historical data further indicates litigation histories associated with the first intellectual property assets, and the first exposure level of individual clusters of the one or more clusters is based at least in part on the litigation histories of the plurality of first intellectual property assets.

Although the foregoing invention has been described with respect to specific examples, it should be understood that the scope of the invention is not limited to these specific examples. Since other modifications and changes varied to fit particular operating requirements and environments will be apparent to those skilled in the art, the invention is not deemed to be limited to the examples selected for purposes of this disclosure, and all changes and modifications that do not constitute a departure from the true spirit and scope of the invention are intended to be covered.

Although this application describes embodiments having particular structural features and/or acts of methods, it is to be understood that the claims are not necessarily limited to the specific features or acts described. Rather, the specific features and acts are provided as examples only, and some examples are intended to be within the scope of the claims.

Claims

1. A method, comprising:

generating a Graphical User Interface (GUI) configured to be displayed on a computing device, the GUI configured to receive input from the computing device;

receiving, via the GUI, input data representing the input, the input data indicating that the first entity is identified as a target entity;

identifying one or more first intellectual property assets associated with the target entity;

generating a first vector representation of the target entity based at least in part on the one or more first intellectual property assets;

identifying one or more second entities having one or more second intellectual property assets similar to the one or more first intellectual property assets;

generating a second vector representation for an individual second entity of the one or more second entities based at least in part on the one or more second intellectual property assets;

Determining an ordering of the one or more second entities based at least in part on the first and second vector representations of the individual second entities than the one or more second entities; and

causing the GUI to display the one or more second entities according to the ordering.

2. The method according to claim 1, wherein:

the input data also indicates an identification of a target intellectual property asset; and

identifying one or more second entities includes identifying one or more second entities having one or more second intellectual property assets similar to the target intellectual property asset.

3. The method of claim 1, wherein the input data further indicates an identification of a target product, and the method further comprises:

identifying a technical classification of the target product; and

wherein identifying the one or more second entities includes identifying one or more second entities having one or more second intellectual property assets associated with the technical classification of the target product.

4. The method of claim 1, wherein the input data is first input data, and the method further comprises:

receiving, via the GUI, second input data indicating a selection of a second entity of the one or more second entities;

identifying one or more third intellectual property assets associated with the second entity;

determining, for an individual asset of the one or more third intellectual property assets, whether the individual asset is associated with a litigation dispute; and

an exportable file is generated that includes a list of individual assets associated with the litigation dispute and information associated with the litigation dispute for the respective individual asset.

5. The method of claim 1, further comprising:

generating a third vector representation for an individual first intellectual property asset of the one or more first intellectual property assets based at least in part on text included in at least a portion of the individual first intellectual property asset; and

the first vector representation is generated based at least in part on a third vector representation of an individual first intellectual property asset of the one or more first intellectual property assets.

6. The method of claim 1, further comprising:

identifying a technology classification associated with the target entity based at least in part on the one or more first intellectual property assets, wherein the technology classification includes technology or product associated with at least one of the one or more first intellectual property assets or the target entity; and

one or more second entities are identified based at least in part on the technical classifications associated with the target entities, the one or more second entities having one or more second intellectual property assets that are similar to the one or more first intellectual property assets.

7. The method of claim 1, further comprising:

identifying, for individual second entities of the one or more second entities, a number of one or more second intellectual property assets associated with the respective second entities; and

causing the GUI to display the one or more second entities in accordance with the ordering and quantity of the one or more second intellectual property assets associated with the respective second entity.

8. A system, comprising:

one or more processors; and

One or more non-transitory computer-readable media comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

receiving, via the GUI, input data representing the input, the input data indicating an identification number of a first intellectual property asset;

identifying one or more second intellectual property assets similar to the first intellectual property asset, the one or more second intellectual property assets being associated with respective first entities;

identifying the first entity as a target entity from respective first entities based at least in part on the number of one or more second intellectual property assets associated with the first entity satisfying a threshold number;

generating a first vector representation of the target entity based at least in part on one or more second intellectual property assets associated with the target entity;

identifying one or more second entities having one or more third intellectual property assets similar to the one or more second intellectual property assets;

Generating a second vector representation for an individual second entity of the one or more second entities based at least in part on the one or more third intellectual property assets;

determining an ordering of the one or more second entities based at least in part on comparing the first vector representation and the second vector representation of individual second entities of the one or more second entities; and

9. The system of claim 8, wherein the input data further indicates an identification of a third entity, and the operations further comprise:

identifying one or more fourth intellectual property assets associated with the third entity; and

wherein identifying the one or more second entities includes identifying one or more second entities having one or more third intellectual property assets similar to the one or more fourth intellectual property assets.

10. The system of claim 8, wherein the input data further indicates an identification of a target product, and the operations further comprise:

Identifying a technical classification of the target product; and

wherein identifying the one or more second entities includes identifying one or more second entities having one or more third intellectual property assets associated with a technical classification of the target product.

11. The system of claim 10, the operations further comprising:

identifying a description associated with the target product;

determining that text included in the description is similar to text included in at least a portion of one or more third intellectual property assets associated with the one or more second entities; and

the one or more second entities are identified based at least in part on determining that text included in the description associated with the target product is similar to text included in at least a portion of the one or more third intellectual property assets.

12. The system of claim 10, the operations further comprising:

determining technical characteristics related to the target product; and

wherein identifying the one or more second entities includes identifying one or more second entities having one or more third intellectual property assets associated with a technical feature of the target product.

13. The system of claim 8, the operations further comprising:

determining that the first entity is associated with a most advantageous number of one or more second intellectual property assets; and

the first entity is identified from the respective first entities as target entities based at least in part on determining that the first entity is associated with a most advantageous number of one or more second intellectual property assets.

14. The system of claim 8, wherein the input data is first input data, and the method further comprises:

identifying one or more fourth intellectual property assets associated with the second entity;

determining, for an individual asset of the one or more fourth intellectual property assets, whether the individual asset is associated with a litigation dispute; and

a exportable file is generated that includes a list of individual assets of one or more fourth intellectual property assets associated with the litigation and information associated with litigation disputes for the respective individual assets.

15. The system of claim 8, the operations further comprising:

identifying a technology classification associated with the target entity based at least in part on the one or more second intellectual property assets, wherein the technology classification includes a technology or product associated with at least one of the one or more second intellectual property assets or target entities; and

one or more second entities are identified based at least in part on the technical classifications associated with the target entities, the one or more second entities having one or more third intellectual property assets that are similar to the one or more second intellectual property assets.