CN116774820A

CN116774820A - Virtual lawyer assistant interaction method, electronic device and computer readable storage medium

Info

Publication number: CN116774820A
Application number: CN202310575017.9A
Authority: CN
Inventors: 黄晨升; 谭佩桢; 张晨露; 柴金祥
Original assignee: Shanghai Movu Technology Co Ltd; Mofa Shanghai Information Technology Co Ltd
Current assignee: Shanghai Movu Technology Co Ltd; Mofa Shanghai Information Technology Co Ltd
Priority date: 2023-05-21
Filing date: 2023-05-21
Publication date: 2023-09-19

Abstract

The application provides a virtual lawyer assistant interaction method, electronic equipment and a computer readable storage medium, wherein the method comprises the following steps: receiving an access request from first terminal equipment, and establishing communication connection between the first terminal equipment and a target server; in the interaction process of the user and the virtual lawyer assistant, using the first terminal device to play a first interaction video of the virtual lawyer assistant corresponding to at least one preset problem; receiving input information of the user aiming at each preset problem; and acquiring the requirement information of the user according to the input information of the user aiming at all preset problems. According to the application, through interaction between the virtual lawyer assistant and the user, the demand information of the user can be automatically collected, more accurate and efficient legal service is provided for the user, the workload of the manual lawyer is reduced, the efficiency of legal service is improved, and the labor cost of the manual lawyer is greatly reduced.

Description

Virtual lawyer assistant interaction method, electronic device and computer readable storage medium

Technical Field

The application relates to the technical field of virtual persons and artificial intelligence, in particular to a virtual lawyer assistant interaction method, electronic equipment and a computer readable storage medium.

Background

The virtual objects include virtual humans, virtual animals, virtual cartoon figures, and the like. The virtual person is a personified image constructed by CG technology and operated in a code form, and has various interaction modes such as language communication, expression, action display and the like. The technology of the dummy person has been rapidly developed in the field of artificial intelligence and has been applied in many technical fields such as video, media, games, finance, travel, education, medical and so on. One of the most common applications is virtual customer service, i.e., using virtual persons instead of human customer service personnel to handle customer consultation and complaints, which can typically be serviced within 24 hours.

The existing interaction method of the virtual lawyer assistant is mostly in a general level of virtual customer service, for example, a question-answering library is set, when a user presents the existing questions in the question-answering library, corresponding answer videos are given, and the requirement information of the user cannot be automatically collected. Based on this, the present application provides a virtual lawyer assistant interaction method, an electronic device and a computer-readable storage medium to improve the prior art.

Disclosure of Invention

The application aims to provide a virtual lawyer assistant interaction method, electronic equipment and a computer readable storage medium, which are used for automatically collecting requirement information of a user through interaction between the virtual lawyer assistant and the user.

The application adopts the following technical scheme:

in a first aspect, the present application provides a virtual lawyer assistant interaction method, the method comprising:

receiving an access request from a first terminal device, and establishing communication connection between the first terminal device and a target server, wherein the target server is used for providing an interactive function of a virtual lawyer assistant;

in the interaction process of a user and the virtual lawyer assistant, using the first terminal device to play a first interaction video of the virtual lawyer assistant corresponding to at least one preset problem, wherein each preset problem is used for collecting legal service types and/or legal file types corresponding to the user;

receiving input information of the user aiming at each preset problem, wherein each input information is text information, voice information or image information;

and acquiring the requirement information of the user according to the input information of the user aiming at all preset problems.

The beneficial effect of this technical scheme lies in: interaction functions between the user and the virtual lawyer assistant are provided to collect legal service types and/or legal document types corresponding to the user through interaction. Firstly, receiving an access request from first terminal equipment, and establishing communication connection between the equipment and a target server, wherein the target server can provide an interactive function of a virtual lawyer assistant; in the interaction process between the user and the virtual lawyer assistant, the virtual lawyer assistant plays a first interaction video corresponding to at least one preset problem, the user provides input information for each preset problem, and each input information can be text information, voice information or image information; by collecting the user's input information for all preset questions, the user's demand information will be obtained so that the virtual lawyer assistant can provide appropriate services and advice. The method has the advantages that the virtual lawyer assistant interacts with the user, so that the requirement information of the user can be automatically collected; on one hand, more accurate and efficient legal service can be provided for users according to the demand information, the quality and efficiency of the legal service are improved, and convenience is brought to the users; on the other hand, alleviate manual lawyer's work burden to improve legal service's efficiency, virtual lawyer assistant can reduce manual lawyer's human cost by a wide margin, improves quality of service, thereby makes legal service more popular and convenient.

In some possible implementations, the receiving input information of the user for each of the preset questions includes:

for each of the preset questions, the following processing is performed:

and receiving input information of the user aiming at the preset problem in a time period between the start of playing the first interactive video corresponding to the preset problem and the start of playing the first interactive video corresponding to the next preset problem.

The beneficial effect of this technical scheme lies in: a series of preset questions are set, and the user needs to provide answers to the preset questions (i.e. input information corresponding to the preset questions). Each preset question corresponds to an interactive video, and is used for guiding a user to answer the preset question or display content related to the preset question. And taking the received input information as the input information of the user aiming at the current preset problem in a time period between the start of playing the first interactive video corresponding to one preset problem and the start of playing the first interactive video corresponding to the next preset problem. This has the advantage that the user's input information for each preset question is received within a specific period of time, enabling more accurate collection of user demand information.

In some possible implementations, the process of obtaining the first interactive video corresponding to each preset problem includes:

for each of the preset questions, the following processing is performed:

acquiring a questioning text and a questioning action of the virtual lawyer assistant according to the preset questions;

and driving the mouth shape and the expression of the virtual lawyer assistant according to the questioning text, and driving the action of the virtual lawyer assistant according to the questioning action so as to generate a first interactive video of the virtual lawyer assistant as a first interactive video corresponding to the preset problem.

The beneficial effect of this technical scheme lies in: and acquiring a question text and a question action of the virtual lawyer assistant for each preset question. These questions may relate to legal consultations or other legal related content. And driving the mouth shape and the expression of the virtual lawyer assistant by using the questioning text, and driving the action of the virtual lawyer assistant according to the questioning action so as to generate a first interactive video, wherein the generated first interactive video is the first interactive video corresponding to the preset problem. This means that the virtual lawyer assistant will simulate the mouth shape and expression of a human speaking according to the content of the questioning text, and simulate the action of a human speaking according to the type of questioning action, so that it looks more like a real lawyer. The method has the advantages that the first interactive video of the virtual lawyer assistant is generated according to the preset problem, the interactive process of the virtual lawyer assistant and the user can be displayed more vividly and vividly, and the user experience is improved.

In some possible implementations, during the interaction between the user and the virtual lawyer assistant, playing, by using the first terminal device, a first interaction video of the virtual lawyer assistant corresponding to at least one preset problem, including:

when interaction starts, playing a second interaction video of the virtual lawyer assistant by using the first terminal device, and displaying a form button, wherein the second interaction video is used for prompting the user to click the form button and fill in a form;

responding to clicking operation for the form button, and displaying the form by using the first terminal equipment, wherein the form is used for collecting legal service types and/or legal file types corresponding to the user;

detecting whether the collection is successful or not according to the filling result of the form;

when collection fails, playing a first interactive video of the virtual lawyer assistant corresponding to at least one preset problem by using the first terminal equipment;

the method further comprises the steps of:

and when the collection is successful, acquiring the requirement information of the user according to the filling result.

The beneficial effect of this technical scheme lies in: when the interaction starts, playing a second interaction video of the virtual lawyer assistant, displaying a form button, and prompting the user to click the form button and fill in the form by the second interaction video; responding to the fact that a user clicks a form button, and displaying a form by the first terminal device, wherein the form is used for collecting legal service types and/or legal file types corresponding to the user; detecting whether the collection of the requirement information (of the user) is successful or not according to the form filling condition; if the collection fails, at least one first interactive video corresponding to the preset problem is played, and the user is guided to provide the corresponding legal service type and/or legal file type in a video interaction mode. The method has the advantages that the first interactive video and the second interactive video of the virtual lawyer assistant, and the form buttons and the forms are used for guiding the user to fill in the requirement information, so that the requirement information of the user can be collected better, and the user can be served better.

In some possible implementations, the method further includes:

when the input information of the user comprises preset keywords, acquiring third interactive videos corresponding to the preset keywords from a question-answer library corresponding to the virtual lawyer assistant, wherein the preset keywords are keywords extracted from a law and regulation library;

and playing the third interactive video by using the first terminal equipment so as to respond to legal questions corresponding to the preset keywords.

The beneficial effect of this technical scheme lies in: the legal questions presented by the user can be responded quickly and accurately. When the user inputs the preset keywords, a third interactive video corresponding to the preset keywords can be obtained from a question-answer library corresponding to the virtual lawyer assistant. These preset keywords are extracted from the legal and regulatory library, so that the accuracy of the response can be ensured. By using the first terminal device to play the third interactive video, the user can quickly obtain a response about legal questions.

In some possible implementations, the method further includes:

acquiring one or more recommendation lawyers corresponding to the user according to the requirement information of the user;

displaying recommendation information corresponding to each recommendation lawyer by using the first terminal equipment;

And receiving a selection operation aiming at one of the recommendation lawyers, and sending prompt information containing the requirement information to a second terminal device of the selected recommendation lawyer.

The beneficial effect of this technical scheme lies in: and acquiring one or more recommended lawyers according to the requirement information of the user. Then, recommendation information corresponding to each recommendation lawyer, such as the name of the lawyer, a practice experience, a service range, and the like, is displayed using the first terminal device. The user may perform a selection operation on the recommended lawyers through the first terminal device, and when one of the recommended lawyers is selected, the prompt information including the requirement information is transmitted to the second terminal device of the selected lawyer. The selected lawyer can check the user demand information through the second terminal device and further communicate and exchange with the user. The method has the advantages that the method can recommend proper lawyers for the user according to the requirement information of the user, so that the user can conveniently and quickly find the proper lawyers, and professional legal assistance is obtained. And, the recommended lawyers selected can be actively contacted with the user, and through the communication of the two parties, the user can better know the services and the capabilities of the lawyers, so that more intelligent selection is made.

In some possible implementations, the obtaining, according to the requirement information of the user, one or more recommended lawyers corresponding to the user includes:

acquiring a label group corresponding to the requirement information, a label group corresponding to each alternative lawyer, a service score and a case winning rate;

respectively calculating the similarity between the label group corresponding to the requirement information and the label group corresponding to each alternative lawyer;

and determining one or more recommended lawyers corresponding to the user from a plurality of candidate lawyers according to the similarity, the service score and the case success rate corresponding to each candidate lawyer.

The beneficial effect of this technical scheme lies in: firstly, a label group corresponding to user demand information, a label group corresponding to each alternative lawyer, service scores and case winning rates are obtained. Then, the similarity between the label group corresponding to the requirement information and the label group corresponding to each candidate lawyer is calculated, and one or more recommended lawyers are determined from the plurality of candidate lawyers in combination with the service scores and case wining rates of the candidate lawyers. This has the advantage of providing more accurate and personalized recommended lawyer services. By using the user demand information and related information of alternative lawyers, more accurate lawyer recommendations can be provided for the user; in addition, the quality and accuracy of lawyer recommendation can be further improved by combining the service scores and case success rates of alternative lawyers through similarity, so that the requirements of users are met.

In some possible implementations, the determining, according to the similarity, the service score, and the case success rate corresponding to each of the candidate lawyers, one or more recommended lawyers corresponding to the user from a plurality of candidate lawyers includes:

acquiring a reserved time period of each alternative lawyer;

and determining one or more recommended lawyers corresponding to the user from the candidate lawyers with the reserved time period matched with the required time period according to the similarity, the service score and the case success rate corresponding to each candidate lawyers.

The beneficial effect of this technical scheme lies in: firstly, acquiring reserved time periods of all the alternative lawyers, so that a user can quickly know which lawyers are available; comprehensively considering the similarity, service score and case success rate, so that a user can more comprehensively know the capability and reputation of alternative lawyers; and determining one or more recommended lawyers corresponding to the user according to the matching degree, similarity, service score, case success rate and other factors of the reserved time period of the alternative lawyers and the user demand time period, and providing the recommended lawyers for the user, so that the user can easily select the proper lawyers. In conclusion, the user can find lawyers meeting the requirements of the user more quickly and accurately, satisfaction and trust of the user are improved, and meanwhile, service quality and efficiency of the lawyers can be improved.

In some possible implementations, the recommendation information corresponding to each recommendation law includes one or more of personal photos, recommendation text, professional fields, and years of practice.

The beneficial effect of this technical scheme lies in: the recommended information of each recommended lawyer comprises personal photos, recommended texts, professional fields, practical years and other information, so that a user can know the appearance characteristics, the professional fields, working experiences and other aspects of the lawyer. Through the recommendation information of the recommendation lawyers, the user can more intuitively and conveniently know the information and the characteristics of each recommendation lawyer, and the accuracy of the user in selecting lawyers is improved.

In a second aspect, the present application provides an electronic device comprising a memory storing a computer program and at least one processor configured to implement the following steps when executing the computer program:

In a third aspect, the present application provides a computer-readable storage medium storing a computer program which, when executed by at least one processor, performs the steps of any of the methods or performs the functions of any of the electronic devices described above.

Drawings

The application is further described below with reference to the drawings and the detailed description.

Fig. 1 is a flowchart of a virtual lawyer assistant interaction method according to an embodiment of the present application.

Fig. 2 is a schematic flow chart of obtaining requirement information according to an embodiment of the present application.

Fig. 3 is a flowchart of a lawyer recommendation for a user according to an embodiment of the present application.

Fig. 4 is a block diagram of an electronic device according to an embodiment of the present application.

Fig. 5 is a schematic structural diagram of a program product according to an embodiment of the present application.

Detailed Description

The technical scheme of the present application will be described below with reference to the drawings and the specific embodiments of the present application, and it should be noted that, on the premise of no conflict, new embodiments may be formed by any combination of the embodiments or technical features described below.

In embodiments of the application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any implementation or design described as "exemplary" or "e.g." in the examples of this application should not be construed as preferred or advantageous over other implementations or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

The first, second, etc. descriptions in the embodiments of the present application are only used for illustration and distinction of description objects, and no order division is used, nor does it represent a particular limitation on the number in the embodiments of the present application, nor should it constitute any limitation on the embodiments of the present application.

The technical field and related terms of the embodiments of the present application are briefly described below.

The virtual objects include virtual humans, virtual animals, virtual cartoon figures, and the like. The virtual person is a personified image constructed by CG technology and operated in a code form, and has various interaction modes such as language communication, expression, action display and the like. The technology of virtual persons has been rapidly developed in the field of artificial intelligence and has been applied in many technical fields such as video, media, games, finance, travel, education, medical, etc., and not only can a virtual host, a virtual anchor, a virtual idol, a virtual customer service, a virtual lawyer assistant, a virtual doctor, a virtual instructor, a virtual assistant, etc., but also a video can be generated through text or audio one-key. In the virtual people, the service type virtual people mainly have the functions of replacing real people to serve and provide daily accompaniment, are the virtualization of service type roles in reality, and have the industrial value of mainly reducing the cost of the existing service type industry and enhancing the cost reduction of the stock market.

Artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a machine controlled by a digital computer to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use the knowledge to obtain optimal results. In other words, artificial intelligence is an integrated technology of computer science that attempts to understand the essence of intelligence and to produce a new intelligent machine that can react in a similar way to human intelligence. The design principle and the implementation method of various intelligent machines are researched by artificial intelligence, so that the machines have the functions of perception, reasoning and decision. The artificial intelligence technology is a comprehensive subject, and relates to the technology with wide fields, namely the technology with a hardware level and the technology with a software level. Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a voice processing technology, a natural language processing technology, machine learning/deep learning, automatic driving, intelligent traffic and other directions.

Machine Learning (ML) is a multi-domain interdisciplinary, involving multiple disciplines such as probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory, etc. The computer program may learn experience E given a certain class of tasks T and performance metrics P, and increase with experience E if its performance in task T happens to be measured by P. Machine learning is specialized in studying how a computer simulates or implements learning behavior of a human to acquire new knowledge or skills, reorganizing existing knowledge structures to continually improve its own performance. Machine learning is the core of artificial intelligence, a fundamental approach to letting computers have intelligence, which is applied throughout various areas of artificial intelligence.

Deep learning is a special machine learning by which the world is represented using a hierarchy of nested concepts, each defined as being associated with a simple concept, and achieving great functionality and flexibility, while a more abstract representation is computed in a less abstract way. Machine learning and deep learning typically include techniques such as artificial neural networks, belief networks, reinforcement learning, transfer learning, induction learning, teaching learning, and the like.

The virtual object interaction application is used for providing virtual object interaction functions. Virtual objects can simulate human communication and behavior and interact with users. Such software (referred to as virtual human interactive applications) is typically driven by artificial intelligence and natural language processing techniques and is capable of interacting with a user by means of text, speech, images, forms, etc.

In the technology of virtual people, the 'man in' refers to a person who deducts and perfects the image of the virtual person through the technology of motion capture and face capture, and can realize the interaction between the virtual person and reality, so that the virtual person can interact with a true person freely.

The scheme provided by the embodiment of the application relates to technologies such as virtual man, interactive design, artificial intelligence, 3D modeling, cloud computing and the like, and is specifically described by the following embodiment. The following description of the embodiments is not intended to limit the preferred embodiments.

(virtual lawyer assistant interaction method)

Referring to fig. 1, fig. 1 is a flowchart of a virtual lawyer assistant interaction method according to an embodiment of the present application.

The embodiment of the application provides a virtual lawyer assistant interaction method, which comprises the following steps:

step S101: receiving an access request from a first terminal device, and establishing communication connection between the first terminal device and a target server, wherein the target server is used for providing an interactive function of a virtual lawyer assistant;

step S102: in the interaction process of a user and the virtual lawyer assistant, using the first terminal device to play a first interaction video of the virtual lawyer assistant corresponding to at least one preset problem, wherein each preset problem is used for collecting legal service types and/or legal file types corresponding to the user;

step S103: receiving input information of the user aiming at each preset problem, wherein each input information is text information, voice information or image information;

step S104: and acquiring the requirement information of the user according to the input information of the user aiming at all preset problems.

The virtual lawyer assistant interaction method can be run on the electronic device, the electronic device and the first terminal device (used by the user) can be independent, and the electronic device and the first terminal device can be integrated. When the electronic device and the first terminal device are independent, the electronic device may be a computer, a server (including a cloud server), or the like having computing power. The first terminal device is not limited in the embodiment of the present application, and may be, for example, an intelligent first terminal device having a display screen and a speaker, such as a mobile phone, a tablet computer, a notebook computer, a desktop computer, an intelligent wearable device, or the first terminal device may be a workstation or a console having a display screen and a speaker. The display screen may be a touch display screen or a non-touch display screen.

In an embodiment of the present application, the virtual lawyer assistant comprises one or more of a virtual person, a virtual animal, and a virtual cartoon character. As one example, the virtual lawyer assistant is a virtual person "JING" (chinese name: mirror). As one example, the name of the virtual lawyer assistant interaction application is "virtual lawyer assistant, 24-hour legal on-line for 7 days". The virtual lawyer assistant can provide the user with a lot of useful information and suggestions, for example, the user can consult the virtual lawyer assistant according to own legal questions and obtain relevant legal suggestions and answers; the virtual lawyer assistant can help the user to examine the contract clause, and ensure the legality and fairness of the contract; the user can easily generate personalized legal documents such as contracts, relics, divorce agreements and the like through interaction with the virtual lawyer assistant; the virtual lawyer assistant can popularize legal knowledge to the user through the interactive video, so that legal awareness of the user is improved; the virtual lawyer assistant may perform a case analysis and make suggestions based on the case information provided by the user.

The target server may run one or more applications for providing interactive functionality of the virtual lawyer assistant. These applications may be written using one or more programming languages, such as Java, python, node. Js, etc., and may utilize various frameworks and libraries to implement various functions, such as natural language processing, speech-to-text, image recognition, etc. To improve availability and performance of the target server, a load balancer may be used to distribute requests across multiple servers, and a failover mechanism may be used to automatically switch to a standby server in the event of a server failure. The electronic device and the target server can be independent, and the electronic device and the target server can be integrated.

The first interactive video of the virtual lawyer assistant needs to be stored on one or more servers, which may store the video using cloud storage or self-owned storage, etc.

The legal service type corresponding to the user is not limited by the embodiment of the application, and can comprise consultation service, proxy litigation, drafting and examining contract, legal document drafting (such as a legacy, an authority, etc.), mediation and arbitration, notarization service, intellectual property protection (including patents, trademarks and copyrights), intellectual property litigation (patent infringement, patent right, patent invalidity) and the like.

The embodiment of the application does not limit the legal text types corresponding to the user, and can comprise contracts, agreements, heritage, rights, litigation documents and the like. The contracts may include, for example, buy and sell contracts, lease contracts, labor contracts, contractual contracts, technology transfer contracts, and the like. The agreements may include, for example, divorce agreements, tending agreements, liabilities and disagreements, and the like. The heritage is used for specifying matters such as property allocation. The rights are used to authorize others to deal with certain matters on behalf of the customer. Litigation documents may include, for example, prosecution, debate, prosecution, etc.

Thus, an interactive function between the user and the virtual lawyer assistant is provided to collect legal service types and/or legal document types corresponding to the user through interaction. Firstly, receiving an access request from first terminal equipment, and establishing communication connection between the equipment and a target server, wherein the target server can provide an interactive function of a virtual lawyer assistant; in the interaction process between the user and the virtual lawyer assistant, the virtual lawyer assistant plays a first interaction video corresponding to at least one preset problem, the user provides input information for each preset problem, and each input information can be text information, voice information or image information; by collecting the user's input information for all preset questions, the user's demand information will be obtained so that the virtual lawyer assistant can provide appropriate services and advice. The method has the advantages that the virtual lawyer assistant interacts with the user, so that the requirement information of the user can be automatically collected; on one hand, more accurate and efficient legal service can be provided for users according to the demand information, the quality and efficiency of the legal service are improved, and convenience is brought to the users; on the other hand, alleviate manual lawyer's work burden to improve legal service's efficiency, virtual lawyer assistant can reduce manual lawyer's human cost by a wide margin, improves quality of service, thereby makes legal service more popular and convenient.

For example, a law firm provides interactive functionality for users using a fictitious virtual law assistant "LawyerBot".

The user MING accesses the LawyerBot application program through the smart phone (as the first terminal device) to acquire legal consultation.

In the interaction process of MING and LawyerBot, lawyerBot asks the MING by playing a first interaction video related to a preset problem. For example, the preset questions may include: what legal services are you in need? (e.g., contract review, intellectual property consultation, etc.), what contract you wish to review? (e.g., trade contracts, lease contracts, labor contracts, contractual contracts, technology transfer contracts, etc.), and the like.

LawyerBot plays a first interactive video to present a preset question to the user, which may help MING understand the question better. For example, when asking for legal services required for MING, the first interactive video may briefly introduce various legal service types and their uses.

MING can answer preset questions in text, voice or image form. For example, MING may input text information: "I need to review labor contracts". Alternatively, MING can answer the same question by voice.

Based on the MING's answers to all preset questions, lawyerBot will collect MING's demand information. In this example, the demand information includes: legal service type: contract checking; legal document type: labor contracts.

In some embodiments, the receiving the input information of the user for each of the preset questions (i.e. step S103) includes:

for each of the preset questions, the following processing is performed:

Thus, a series of preset questions are set, and the user needs to provide answers to the preset questions (i.e. input information corresponding to the preset questions). Each preset question corresponds to an interactive video, and is used for guiding a user to answer the preset question or display content related to the preset question. And taking the received input information as the input information of the user aiming at the current preset problem in a time period between the start of playing the first interactive video corresponding to one preset problem and the start of playing the first interactive video corresponding to the next preset problem. This has the advantage that the user's input information for each preset question is received within a specific period of time, enabling more accurate collection of user demand information.

For example, when the user opens the virtual lawyer assistant, a first interactive video corresponding to a preset problem is played, where the content is, for example: "do you need help to draft contracts? "after the first interactive video is played, the user can input information to answer the question, such as" yes, "i need help draft the rental contract. After that, the virtual lawyer assistant may also respond according to the user's input information. If the number of the preset questions is more than one, after the user finishes answering the preset questions, the virtual lawyer assistant can play a first interactive video corresponding to the next preset question, continue to interact with the user, and collect user requirement information which the lawyer hopes to know.

In some embodiments, the obtaining the requirement information of the user according to the input information of the user for all preset questions (i.e. step S104) includes: extracting semantic information corresponding to the input information by using a semantic extraction model corresponding to each input information; and acquiring the requirement information of the user according to the semantic information of the input information of the user aiming at all preset problems.

When the input information is text information, the semantic extraction model corresponding to the input information is a pre-training language model based on deep learning; when the input information is voice information, the semantic extraction model corresponding to the input information comprises a voice-to-text model based on deep learning and a pre-training language model based on deep learning; when the input information is image information, the semantic extraction model corresponding to the input information is a semantic segmentation model based on deep learning.

Thus, a deep learning-based model is used to extract semantic features of the input information. For different types of input information, different deep learning models are adopted for semantic extraction, including a pre-training language model, a voice-to-text model, a semantic segmentation model and the like.

For text information, pre-trained language models, such as BERT, GPT, etc., are employed to extract semantic features of the input text. The models can learn the structure and semantic information of the language by pre-training a large amount of texts, so that the semantic information of the input texts can be effectively extracted.

For voice information, a voice-to-text model based on deep learning, such as CTC, transformer, is adopted to convert the voice information into text information, and a pre-training language model is adopted to extract semantic features of the text information. Thus, semantic information related to the input information can be extracted from the voice information.

For image information, a semantic segmentation model based on deep learning, such as UNet, deep Lab and the like, is adopted to segment the image, and semantic information corresponding to each pixel point is extracted. Thus, semantic information related to the input information can be accurately extracted from the image.

The method has the advantages that semantic features of input information can be extracted more accurately by using a semantic extraction model based on deep learning, so that accuracy and efficiency of semantic understanding are improved; the pre-training language model can improve the natural language processing capacity, including text classification, emotion analysis, machine translation and other aspects; by adopting different deep learning models, the multi-mode information can be processed, including text information, voice information, image information and the like, so that more comprehensive information processing is realized.

In some embodiments, the process of obtaining the first interactive video corresponding to each preset question includes:

for each of the preset questions, the following processing is performed:

Thus, for each preset question, the question text and question action of the virtual lawyer assistant are acquired. These questions may relate to legal consultations or other legal related content. And driving the mouth shape and the expression of the virtual lawyer assistant by using the questioning text, and driving the action of the virtual lawyer assistant according to the questioning action so as to generate a first interactive video, wherein the generated first interactive video is the first interactive video corresponding to the preset problem. This means that the virtual lawyer assistant will simulate the mouth shape and expression of a human speaking according to the content of the questioning text, and simulate the action of a human speaking according to the type of questioning action, so that it looks more like a real lawyer. The method has the advantages that the first interactive video of the virtual lawyer assistant is generated according to the preset problem, the interactive process of the virtual lawyer assistant and the user can be displayed more vividly and vividly, and the user experience is improved.

For example, the preset question is "do you need to help draft contracts? "the corresponding question text is" do you need help draft contracts? "while the questioning action is an action in which both hands are placed in front of each other, the expression may be smiling, and then writing is made while talking about drafting a contract.

Next, the mouth shape and expression of the virtual lawyer assistant are driven according to the questioning text, and the motion of the virtual lawyer assistant is driven according to the questioning motion, so as to generate a first interactive video. In this first interactive video, the virtual lawyer assistant would express the quiz text in mouth shape and expression and enhance interactivity through the action.

After the user has viewed the first interactive video, input information may be provided to answer the question, the input information being input information for the preset question.

Referring to fig. 2, fig. 2 is a schematic flow chart of obtaining requirement information according to an embodiment of the present application.

In some embodiments, in the interaction process between the user and the virtual lawyer assistant, playing, by using the first terminal device, a first interaction video of the virtual lawyer assistant corresponding to at least one preset problem, including:

the method further comprises the steps of:

To collect the user's information, form buttons may be set in the virtual lawyer assistant interactive application and the form may need to be designed in the background configuration interface. Form data generated by filling in the form by a user is stored in a database or other data storage system, the data can be stored by using a MySQL, mongoDB relational or non-relational database, and the data storage and management can be realized by using cloud storage or other technologies.

The form may contain legal service type and legal document type related questions and the user's answers may be collected using drop down menus, single boxes, multiple boxes or input boxes, etc. After the user completes the form filling at the first terminal device, the user may submit the form. After receiving the form data submitted by the user, the electronic device can analyze the form data at a local or background server. For example, the user's answers are converted to the demand information using a rule-based approach or a trained machine learning model.

When the interaction starts, playing a second interaction video of the virtual lawyer assistant, displaying a form button, and prompting the user to click the form button and fill in the form by the second interaction video; responding to the fact that a user clicks a form button, and displaying a form by the first terminal device, wherein the form is used for collecting legal service types and/or legal file types corresponding to the user; detecting whether the collection of the requirement information (of the user) is successful or not according to the form filling condition; if the collection fails, at least one first interactive video corresponding to the preset problem is played, and the user is guided to provide the corresponding legal service type and/or legal file type in a video interaction mode. The method has the advantages that the first interactive video and the second interactive video of the virtual lawyer assistant, and the form buttons and the forms are used for guiding the user to fill in the requirement information, so that the requirement information of the user can be collected better, and the user can be served better.

By way of example, suppose that MING is a user who requires legal services, the MING wants to teach a virtual lawyer assistant "help" about the rental contract. The following is an example of the interaction process of a virtual lawyer assistant:

at the beginning of the interaction, MING accesses the virtual lawyer assistant "help" via the first terminal device (e.g., a smartphone or computer). The second interactive video starts playing, and the "help" in the second interactive video directs the MING to click on the "form button" on the screen.

Upon the prompt of "little help," MING clicks on the "form button" and then a form appears on the first terminal device. There are two drop-down menu options on the form, including legal services type drop-down menus (options including, for example, consultation, drafting contracts, contract reviews, etc.) and legal documents type drop-down menus (options including, for example, lease contracts, labor contracts, purchase contracts, etc.).

MING selects "consultation" as a legal service type and "rental contract" as a legal document type. After the form is filled out, the MING submits the form and the virtual lawyer helper application detects the filling result.

Assuming that the MING filled information is complete and correct, the test results show that the form collection was successful. At this time, the requirement information of the MING, i.e., consultation about the rental contract, is acquired according to the filling result of the MING.

If the information filled in by MING is found to be incomplete or have errors in the detection process, the collection result is judged to be failed. At this time, the first terminal device may play the first interactive video of "minor" to raise at least one preset question to the MING, helping the MING describe its requirements in more detail. For example, a "minor" may ask: "do you need to consult legal questions, draft contracts, or contract reviews? The input information of the MING aiming at the preset problem is, for example, text information with the content of 'I want to consult lease contracts', and the requirement information of the MING, namely, the consultation about lease contracts, is obtained.

In some embodiments, the method further comprises:

The law and regulation library, i.e., the law and regulation database, may store therein various types of laws and regulations, such as constitution, civil law, criminal law, business law, labor law, tax law, and the like. These laws and regulations may cover various areas such as marital households, property rights, contract disputes, criminal liabilities, etc.

The number of preset keywords extracted from the legal and legal library is not limited, and can be, for example, 10, 100, 1000, 10000 and the like.

Therefore, legal questions raised by the user can be responded quickly and accurately. When the user inputs the preset keywords, a third interactive video corresponding to the preset keywords can be obtained from a question-answer library corresponding to the virtual lawyer assistant. These preset keywords are extracted from the legal and regulatory library, so that the accuracy of the response can be ensured. By using the first terminal device to play the third interactive video, the user can quickly obtain a response about legal questions.

In some embodiments, the process of generating the third interactive video includes:

obtaining a response text and a response action corresponding to the preset keyword;

and driving the mouth shape and expression of the virtual lawyer assistant according to the response text, and driving the action of the virtual lawyer assistant according to the response action so as to generate the third interactive video.

Illustrating the interaction of the user MING with the virtual lawyer assistant, portlet A.

In one example, the input information for MING is a piece of voice information, the content is: "how to ask for a registered trademark? "at this time, the input information detecting the ping contains a preset keyword" registered trademark ". And searching a question and answer library corresponding to the small A, finding a third interactive video related to the registered trademark, and playing the third interactive video to the MING. In the third interactive video, the response text of the small a is, for example: "hello, MING-! Regarding the flow of registered trademark, first, trademark design and inquiry are required to ensure that a desired registered trademark does not collide with an existing trademark. Next, you need to fill in and submit a trademark registry, attaching related materials such as trademark patterns and a list of goods or services. After the application is filed, the trademark office will conduct an examination. After the censoring passes, your trademark will be advertised, and you will get trademark registration certificates in case of unobjectionable expiration of the advertisement. The "small a response action" is, for example, lifting the right hand show, clapping the palm, etc. By playing the third interactive video, MING can quickly understand the basic flow of registered trademark.

In another example, the input information of MING is a piece of text information, the content is: "how does its own intellectual property rights protected in a contract? "at this time, the input information for detecting the MING includes preset keywords" contract "and" intellectual property ". And searching third dynamic videos related to the contract and the intellectual property in the question-answer library corresponding to the small A, and playing the third dynamic videos to the MING.

In the third interactive video, the response text of the small a is, for example: "hello-! To protect its own intellectual property rights in a contract, attention is paid to the following:

"explicit intellectual property clause: in a contract, ensuring that intellectual property terms explicitly specify rights and obligations of parties, including rights attribution, licensing scope, deadline, cost, and the like.

"privacy clause: ensuring that there are terms of confidentiality in the contract, prescribes responsibility and obligation for confidentiality of intellectual property by both parties to prevent unauthorized disclosure or use.

"breach responsibility: the contract should be clear of the liability of violations of intellectual property and security terms, such as reimbursement amounts, deposit violations, etc.

"dispute resolution: dispute resolution is agreed upon in the contract, such as litigation, arbitration, etc., so that there is a clear way to resolve when disputes occur. "

The response action of the small A is for example to swing the arm up and down for display, to hold the cheek, to shake the head, etc.

By viewing this third interactive video, MING can learn the notice of protecting intellectual property in the contract.

Referring to fig. 3, fig. 3 is a schematic flow chart of recommending lawyers for a user according to an embodiment of the present application.

In some embodiments, the method further comprises:

The second terminal device is not limited in the embodiment of the present application, and may be, for example, an intelligent terminal device such as a mobile phone, a tablet computer, a notebook computer, a desktop computer, an intelligent wearable device, or the second terminal device may be a workstation or a console.

Thereby, one or more recommended lawyers are obtained according to the user's demand information. Then, recommendation information corresponding to each recommendation lawyer, such as the name of the lawyer, a practice experience, a service range, and the like, is displayed using the first terminal device. The user may perform a selection operation on the recommended lawyers through the first terminal device, and when one of the recommended lawyers is selected, the prompt information including the requirement information is transmitted to the second terminal device of the selected lawyer. The selected lawyer can check the user demand information through the second terminal device and further communicate and exchange with the user. The method has the advantages that the method can recommend proper lawyers for the user according to the requirement information of the user, so that the user can conveniently and quickly find the proper lawyers, and professional legal assistance is obtained. And, the recommended lawyers selected can be actively contacted with the user, and through the communication of the two parties, the user can better know the services and the capabilities of the lawyers, so that more intelligent selection is made.

Assume that MING requires a lawyer who is adept at working to resolve the labor contract disputes. At this time, the demand information includes "resolution disputes" and "labor contracts".

According to the requirement information of MING, searching lawyers which are good at the labor law in a lawyer database, and finding three recommended lawyers.

The first terminal equipment using MING displays the recommendation information of each recommendation lawyer:

recommendation lawyer 1: a lawyer has 10 years of labor law experience, and successfully solves more than 100 labor contract disputes.

Recommendation lawyer 2: lawyers, with 8 years of labor experience, are adept at dealing with labor mediation and litigation cases.

Recommendation lawyer 3: the lawyer, having 5 years of labor law experience, is focused on competing for rights and interests for the staff.

MING selected recommendation attorney 1: lawyer of the first hand.

After receiving the selection operation of the MING, the prompt information containing the requirement information is sent to the mobile phone (namely the second terminal device) of the lawyer, and the content of the prompt information is for example: "customer MING encounters a labor contract dispute problem and requires assistance from a lawyer who is skilled in the labor laws. "

After receiving the prompt message, the lawyer can contact with the MING through the mobile phone, and provide professional legal service for the lawyer. In this way, the user MING can quickly find lawyers which meet the needs of the user and can be effectively assisted in the first time.

In some embodiments, the obtaining, according to the requirement information of the user, one or more recommended lawyers corresponding to the user includes:

In an embodiment of the present application, one or more tags may be included in the tag group.

In the embodiment of the application, the service score can be 5 minutes, 10 minutes, or a percentage, for example.

In the embodiment of the application, the case success rate can be expressed by a percentile, for example.

Therefore, the label group corresponding to the user demand information, the label group corresponding to each alternative lawyer, the service score and the case success rate are obtained first. Then, the similarity between the label group corresponding to the requirement information and the label group corresponding to each candidate lawyer is calculated, and one or more recommended lawyers are determined from the plurality of candidate lawyers in combination with the service scores and case wining rates of the candidate lawyers. This has the advantage of providing more accurate and personalized recommended lawyer services. By using the user demand information and related information of alternative lawyers, more accurate lawyer recommendations can be provided for the user; in addition, the quality and accuracy of lawyer recommendation can be further improved by combining the service scores and case success rates of alternative lawyers through similarity, so that the requirements of users are met.

Assume that MING requires a lawyer with a lot of experience in the intellectual property field to deal with the patent infringement problem. At this time, the demand information includes "intellectual property disputes" and "patent infringement".

Obtaining a tag group corresponding to the requirement information: { intellectual property rights, patent infringement }.

In the lawyer database, small a found 5 alternative lawyers and their corresponding tag sets, service scores and case wins as follows:

alternative lawyer 1: lawyer, tag group: { intellectual property rights, patent infringement, trademark infringement }, service score: 4.8/5, case winning rate: 90%.

Alternative lawyer 2: lawyer, tag group: { intellectual property rights, patent infringement, copyright }, service score: 4.7/5, case winning rate: 85%.

Alternative lawyer 3: lawyer, tag group: { intellectual property, trademark infringement, copyright }, service score: 4.5/5, case winning rate: 80%.

Alternative lawyer 4: lawyer, tag group: { intellectual property rights, patent infringement, copyright, trademark infringement }, service score: 5.0/5, case winning rate: 95%.

Alternative lawyer 5: lawyer, tag group: { business legal, contract dispute, real estate method }, service scoring: 4.6/5, case winning rate: 88%.

And respectively calculating the similarity between the label group corresponding to the requirement information and the label group corresponding to each alternative lawyer:

lawyer a: similarity 2/3 (intellectual property rights, patent infringement)

Lawyer B: similarity 2/3 (intellectual property rights, patent infringement)

Lawyer C: similarity 1/3 (intellectual property)

D lawyer: similarity 2/4 (intellectual property rights, patent infringement)

Lawyer E: similarity 0/3 (without identical label)

According to similarity, service score and case win, small a recommends the following attorneys for ping:

recommendation lawyer 1: the D lawyer has the highest service score and case win, similarity, etc.

Recommendation lawyer 2: the A lawyer has higher service score and case winning rate and higher similarity.

In this way, MING can select the appropriate lawyer based on the lawyer's professional area, service score and case win rate, thereby obtaining a more professional and satisfactory legal service. Corresponding preset weights, for example, 0.4, 0.3 and 0.3, can be preset for three recommendation parameters, namely similarity, service score and case success rate, and comprehensive scores corresponding to all candidate lawyers are calculated respectively, so that a plurality of candidate lawyers are rapidly ordered according to the sequence from high to low of the comprehensive scores, the first N are used as recommendation lawyers, and N is a positive integer.

In some embodiments, the determining, according to the similarity, the service score, and the case win rate corresponding to each of the candidate lawyers, one or more recommended lawyers corresponding to the user from a plurality of candidate lawyers includes:

acquiring a reserved time period of each alternative lawyer;

Therefore, the reserved time period of each alternative lawyer is obtained firstly, so that a user can quickly know which lawyers are available; comprehensively considering the similarity, service score and case success rate, so that a user can more comprehensively know the capability and reputation of alternative lawyers; and determining one or more recommended lawyers corresponding to the user according to the matching degree, similarity, service score, case success rate and other factors of the reserved time period of the alternative lawyers and the user demand time period, and providing the recommended lawyers for the user, so that the user can easily select the proper lawyers. In conclusion, the user can find lawyers meeting the requirements of the user more quickly and accurately, satisfaction and trust of the user are improved, and meanwhile, service quality and efficiency of the lawyers can be improved.

In some embodiments, the recommendation information corresponding to each recommendation law includes one or more of personal photos, recommendation text, professional fields, and years of practice.

Therefore, the recommendation information of each recommendation lawyer comprises personal photos, recommendation texts, professional fields, practical years and other information, so that a user can know the appearance characteristics, the professional fields, working experiences and other aspects of the lawyer. Through the recommendation information of the recommendation lawyers, the user can more intuitively and conveniently know the information and the characteristics of each recommendation lawyer, and the accuracy of the user in selecting lawyers is improved.

The following is an example of recommendation information for a 3-digit recommendation lawyer:

recommendation lawyer 1:

personal photo: a photograph of a middle-aged man wearing a front dress.

Recommended text: the F lawyer has 15 years of rich experience in the intellectual property field, and the expertise includes aspects of patent infringement, trademark infringement, copyright and the like. He has gained a broad acceptance to deal with each case in a state of professional spirit and rigor.

Professional field: intellectual property rights

Years of practice: 15 years old

Recommendation lawyer 2:

personal photo: a smiling photograph of young women.

Recommended text: the G lawyer, working in public jurisdictions and business legal fields for 8 years, is adept at handling enterprise contract disputes, equity architecture designs, and various business negotiations. She helped many customers to achieve good legal results with excellent communication and acute insight.

Professional field: public judicial and business laws

Years of practice: for 8 years

Recommendation lawyer 3:

personal photo: a photograph of a middle-aged woman wearing glasses.

Recommended text: the H lawyer has 10 years of house land law experience and is focused on legal matters in aspects of house buying and selling, lease contract disputes, property management and the like. She works with a realistic effort and rigorous legal analysis to provide efficient solutions and quality service to the customer.

Professional field: house-to-land method

Years of practice: for 10 years

Through the recommendation information, a user can select lawyers which best meet the requirements of the user according to personal photos, recommendation texts, professional fields and practical years of the lawyers so as to obtain professional legal services.

In a specific application scenario, the embodiment of the application further provides a virtual lawyer assistant interaction method, which comprises the following steps:

acquiring at least one preset problem, wherein each preset problem is used for collecting legal service types and/or legal file types;

for each preset problem, the following processing is performed: acquiring a questioning text and a questioning action of the virtual lawyer assistant according to the preset questions; performing voice synthesis according to the questioning text to obtain voice data, driving the mouth shape and expression of the virtual lawyer assistant according to the voice data to obtain face driving data, driving the motion of the virtual lawyer assistant according to the questioning motion to obtain motion driving data, and generating a first interactive video of the virtual lawyer assistant according to the voice data, the face driving data and the motion driving data to serve as a first interactive video corresponding to the preset problem;

when the collection is successful, acquiring the requirement information of the user according to the filling result;

when collection fails (or when a user does not click a form button within a preset time period), playing a first interactive video of the virtual lawyer assistant corresponding to at least one preset problem by using the first terminal device;

for each of the preset questions, the following processing is performed: receiving input information of the user aiming at the preset problem in a time period between the beginning of playing the first interactive video corresponding to the preset problem and the beginning of playing the first interactive video corresponding to the next preset problem, wherein each input information is text information, voice information or image information;

Acquiring the requirement information of the user according to the input information of the user aiming at all preset problems;

playing the third interactive video by using the first terminal equipment so as to respond to legal questions corresponding to the preset keywords;

acquiring a label group corresponding to the requirement information, a label group corresponding to each alternative lawyer, a service score, a case winning rate and a reserved time period;

determining one or more recommended lawyers corresponding to the user from among the candidate lawyers with reserved time periods matched with the required time periods according to the similarity, the service score and the case success rate corresponding to each candidate lawyers;

displaying recommendation information corresponding to each recommendation lawyer by using the first terminal equipment, wherein the recommendation information corresponding to each recommendation lawyer comprises one or more of personal photos, recommendation texts, professional fields and practical years;

By way of example, assume that there is a virtual lawyer helper application named "legal helper" that the user MING can access through a cell phone or other terminal device. When the MING opens the application, a second interactive video is played asking the MING what legal service type and/or legal document type is needed. For example, a virtual lawyer assistant may ask: "your good! I are legal assistant asking what help you need? You can click the 'fill out form' button in the upper right corner to fill out your demand-! "

MING clicks the form button and fills in the form, e.g., MING fills in the text entry box in the form: "find attorneys".

if the result of the detection is that the collection fails, a first interactive video is played, and the MING is guided to provide the requirement information, wherein the content of the first interactive video is as follows: "your good! I are legal assistant asking you for the services of labor law, contract law or intellectual property law? Do you need drafting, censoring or modifying legal documents? "

MING inputs a piece of text information: "I need the services of the contractual method to help I draft a lease contract. "

According to the input information of the MING, acquiring the requirement information of the MING: "legal service type: drafting a contract; legal document type: lease contracts).

Since the input information of the MING contains a preset keyword of 'lease contract', a third interactive video related to the preset keyword is obtained from the question-answer library. For example, for the question entered by MING about "rental contract," a third interactive video of the common questions and notes about the rental contract would be played.

The demand information of the MING is then analyzed and matched against the tag population of the alternative lawyers. Since MING requires contractual services, lawyers with contractual professional area labels are sought.

After matching the appropriate attorneys, one or more recommended attorneys are determined from the bookable time period based on factors such as similarity, service score, and case win rate. For example, three contract lawyers may be recommended, with their wins and scores higher, and available for the period of time that MING needs.

The "legal assistant" application will display personal photos, recommended text, professional fields, and years of practice for each recommended lawyer. MING can choose the lawyer that he considers to be most appropriate based on this information.

When the MING selects one of the attorneys, the virtual lawyer assistant sends prompt information containing the requirement information to the second terminal device of the selected recommended lawyer. Thus, the lawyer can learn about the needs of the MING and contact the MING to provide the corresponding legal services.

The embodiment of the application can continuously optimize the Natural Language Processing (NLP) capability of the virtual lawyer assistant, so that the virtual assistant can understand complex legal terms and user questions, provide accurate and professional answers, and simultaneously keep friendly and relatives; by utilizing the voice recognition and synthesis technology, the virtual lawyer assistant can communicate with the user naturally and smoothly in real time through voice, so that the user experience is improved; personalized legal suggestions and services are provided for each user through user behavior analysis and history records, and user viscosity is improved; the function of automatically generating legal documents, such as contracts, prosecution books, legal opinion books and the like, is provided, related information is automatically filled according to the requirements of users, and the time of the users is saved; providing users with integrated legal services such as online consultation, offline meeting, litigation agency, and the like; ensuring the safety and privacy protection of user data, following relevant laws and regulations and improving the user trust degree; the user interface design which is simple, visual and easy to use is adopted, so that the user experience is improved; according to user feedback and market change, the functions and performances of the product (namely the virtual lawyer assistant) are continuously optimized, and the product is ensured to keep market competitiveness.

(electronic device)

The embodiment of the application also provides an electronic device, the specific embodiment of which is consistent with the embodiment described in the method embodiment and the achieved technical effect, and part of the contents are not repeated.

The electronic device comprises a memory storing a computer program and at least one processor configured to implement the following steps when executing the computer program:

In some embodiments, the at least one processor is configured to receive input from the user for each of the preset questions when executing the computer program in the following manner:

for each of the preset questions, the following processing is performed:

In some embodiments, the at least one processor is configured to obtain the first interactive video corresponding to each of the preset questions when executing the computer program in the following manner:

for each of the preset questions, the following processing is performed:

In some embodiments, the at least one processor is configured to play, during interaction of the user with the virtual lawyer assistant, a first interactive video of the virtual lawyer assistant corresponding to at least one preset question using the first terminal device when executing the computer program in the following manner:

the at least one processor is configured to execute the computer program to further implement the steps of:

In some embodiments, the at least one processor is configured to execute the computer program to further implement the steps of:

In some embodiments, the at least one processor is configured to obtain one or more recommended lawyers corresponding to the user based on the user's demand information when executing the computer program in the following manner:

In some embodiments, the at least one processor is configured to determine the one or more recommended attorneys corresponding to the user from a plurality of candidate attorneys based on the similarity, service score, and case win rate corresponding to each of the candidate attorneys when executing the computer program in the following manner:

acquiring a reserved time period of each alternative lawyer;

Referring to fig. 4, fig. 4 is a block diagram of an electronic device 10 according to an embodiment of the present application.

The electronic device 10 may for example comprise at least one memory 11, at least one processor 12 and a bus 13 connecting the different platform systems.

Memory 11 may include readable media in the form of volatile memory, such as Random Access Memory (RAM) 111 and/or cache memory 112, and may further include Read Only Memory (ROM) 113.

The memory 11 also stores a computer program executable by the processor 12 to cause the processor 12 to implement the steps of any of the methods described above.

Memory 11 may also include utility 114 having at least one program module 115, such program modules 115 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.

Accordingly, the processor 12 may execute the computer programs described above, as well as may execute the utility 114.

The processor 12 may employ one or more application specific integrated circuits (ASICs, application Specific Integrated Circuit), DSPs, programmable logic devices (PLD, programmableLogic devices), complex programmable logic devices (CPLDs, complex Programmable Logic Device), field programmable gate arrays (FPGAs, fields-Programmable Gate Array), or other electronic components.

Bus 13 may be a local bus representing one or more of several types of bus structures including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or any of a variety of bus architectures.

The electronic device 10 may also communicate with one or more external devices such as a keyboard, pointing device, bluetooth device, etc., as well as one or more devices capable of interacting with the electronic device 10 and/or with any device (e.g., router, modem, etc.) that enables the electronic device 10 to communicate with one or more other computing devices. Such communication may be via the input-output interface 14. Also, the electronic device 10 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 15. The network adapter 15 may communicate with other modules of the electronic device 10 via the bus 13. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with the electronic device 10 in actual applications, including, but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, data backup storage platforms, and the like.

(computer-readable storage Medium)

The embodiment of the application also provides a computer readable storage medium, and the specific embodiment of the computer readable storage medium is consistent with the embodiment recorded in the method embodiment and the achieved technical effect, and part of the contents are not repeated.

The computer readable storage medium stores a computer program which, when executed by at least one processor, performs the steps of any of the methods or performs the functions of any of the electronic devices described above.

Referring to fig. 5, fig. 5 is a schematic structural diagram of a program product according to an embodiment of the present application.

The program product is for implementing the steps of any of the methods described above or for implementing the functions of any of the electronic devices described above. The program product may take the form of a portable compact disc read-only memory (CD-ROM) and comprises program code and may be run on a terminal device, such as a personal computer. However, the program product of the present application is not limited thereto, and in the embodiments of the present application, the readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable storage medium may also be any readable medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing. Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the C programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The present application has been described in terms of its purpose, performance, advancement, and novelty, and the like, and is thus adapted to the functional enhancement and use requirements highlighted by the patent statutes, but the description and drawings are not limited to the preferred embodiments of the present application, and therefore, all equivalents and modifications that are included in the construction, apparatus, features, etc. of the present application shall fall within the scope of the present application.

Claims

1. A virtual lawyer assistant interaction method, the method comprising:

2. The virtual lawyer assistant interaction method of claim 1, wherein the receiving the input information of the user for each of the preset questions comprises:

for each of the preset questions, the following processing is performed:

3. The virtual lawyer assistant interaction method of claim 1, wherein the process of obtaining the first interaction video corresponding to each of the preset questions comprises:

for each of the preset questions, the following processing is performed:

4. The virtual lawyer assistant interaction method of claim 1, wherein the playing, during the interaction between the user and the virtual lawyer assistant, the first interaction video of the virtual lawyer assistant corresponding to the at least one preset problem using the first terminal device includes:

the method further comprises the steps of:

5. The virtual lawyer assistant interaction method of claim 1, wherein the method further comprises:

6. The virtual lawyer assistant interaction method of claim 1, wherein the method further comprises:

7. The virtual lawyer assistant interaction method of claim 6, wherein the obtaining, according to the requirement information of the user, one or more recommended lawyers corresponding to the user includes:

8. The virtual lawyer assistant interaction method of claim 7, wherein said determining one or more recommended lawyers corresponding to the user from among a plurality of candidate lawyers based on the similarity, service score, and case win rate corresponding to each of the candidate lawyers comprises:

acquiring a reserved time period of each alternative lawyer;

9. The virtual lawyer assistant interaction method of claim 8, wherein the recommendation information corresponding to each recommendation lawyer includes one or more of personal photos, recommendation text, professional fields, and years of practice.

10. An electronic device comprising a memory and at least one processor, the memory storing a computer program, the at least one processor being configured to implement the following steps when executing the computer program:

11. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by at least one processor, implements the steps of the method of any of claims 1-9 or implements the functionality of the electronic device of claim 10.