CN111274779A - Legal document generation system and method based on user experience prediction - Google Patents
Legal document generation system and method based on user experience prediction Download PDFInfo
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Abstract
The invention relates to the technical field of legal document generation, and particularly discloses a legal document generation system based on user experience prediction. The invention can identify the consulting information provided by the user and provide the required legal documents for the user according to the comprehension ability of the user.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a legal document generation system and method based on user experience prediction.
Background
Legal documents are documents used by law administration, parties, lawyers, etc. to resolve litigation and non-litigation cases. Communication between the party and the judge is required through legal documents. At present, for the common people without professional counselors, professional legal documents cannot be written due to the fact that the common people have less legal knowledge. Thus, legal documents are written mainly by the staff of the judicial administration or the dialogists who help the parties to defend. However, the number of lawyers is very insufficient compared with the legal requirement population, so that many parties have the problems that no available lawyer can be found or the fee is charged when the lawyers are needed to help write legal documents.
In contrast, chinese patent publication No. CN104090863A discloses an intelligent legal document generation system, which includes a server including: the clause library is used for storing legal clauses; the legal knowledge model base is used for storing legal problems, solutions corresponding to the legal problems, logic of legal terms and business relations, and each legal problem at least comprises one solution; the intelligent question-answer interaction module is used for recording legal requirement information input by a user and a solution selected by the user; the pattern recognition module is used for converting the user legal requirement information recorded by the intelligent question-answering interaction module into a query statement and sending the query statement to the reasoning engine; the reasoning engine is used for searching the matched legal problem from the legal knowledge model base according to the query statement and feeding back a solution corresponding to the legal problem for the user to select; the generating module is used for searching corresponding legal terms from the term library according to the solution selected by the user and the legal knowledge model library and generating an editable legal document template; and the document online editor is used for editing the legal document template according to the operation of the user. The invention can generate the legal document according to the legal requirement input by the user and the solution selected by the user, but is obviously inapplicable to some users with unclear requirement targets.
Because the system needs the user to select the determined solution at the intelligent question-answering interaction module to provide the corresponding legal document for the user. For example, when a user encounters a family dispute, a child is nourished, and family property is segmented, the user needs to select a legal document on the system, which cannot be directly predicted according to consultation information provided by the user. Therefore, for some users with uncertain needs, for example, the user wants to divorce, does not know how to divide the family property, and wants the right of care for children, and the two items belong to two solutions on the system, so that the user cannot determine the solution on the system, and the system cannot predict the legal documents according to the consultation information provided by the user, thereby resulting in poor user experience with unobvious needs.
Disclosure of Invention
In order to solve the technical problem that the legal document generation system cannot provide limited consulting information according to the user and predict the legal document required by the user, the invention provides the legal document generation system and method based on user experience prediction.
The technical scheme of the invention is as follows:
the legal document generation system based on user experience prediction comprises a server, an interactive terminal, a consultation analysis module and an expression form conversion module, wherein:
the server is used for storing an effective keyword library, a professional vocabulary library, a popular vocabulary library and an illustration library, wherein the related vocabulary library comprises professional vocabularies and popular vocabularies, and mapping relations exist between the professional vocabularies and the popular vocabularies with the same meanings;
the interactive terminal is used for acquiring the consultation information of the user;
the system comprises a consultation analysis module, a consultation prediction module and a consultation prediction module, wherein the consultation analysis module is used for identifying and converting consultation information to obtain consultation text information, then performing semantic word segmentation processing on the consultation text information to obtain word information, matching the word information from an effective keyword library to obtain effective keywords, and predicting the effective keywords through a consultation prediction model to obtain consultation opinions;
and the expression form conversion module is used for respectively inquiring the same professional vocabulary and popular vocabulary in the professional vocabulary library and popular vocabulary library according to the word information, judging the expression form of the legal document of the user according to the preset rule according to the occupation ratio between the professional vocabulary and popular vocabulary obtained by inquiry, then processing and converting the legal document according to the expression form, and feeding back the converted legal document to the interactive terminal.
The basic scheme and the beneficial effects are as follows: according to the technical scheme, the consultation information of the user is collected through the interactive terminal, the consultation analysis module identifies and converts the consultation information to obtain consultation text information, semantic word segmentation processing is carried out on the consultation text information to obtain word information, effective keywords are obtained through matching in an effective keyword library according to the word information, and then the obtained effective keywords are predicted through a consultation prediction model to obtain a legal document, so that the relevant legal document is obtained through the consultation information prediction provided by the user. Moreover, the technical scheme also judges the expression form of the legal document of the user according to a preset rule by expressing the occupation ratio between the professional vocabulary and the popular vocabulary in the word information obtained by consulting the semantic resolution text information through the engaging processing module. People with stronger comprehension ability like to describe the self requirements by using simple professional vocabularies, and people with weak comprehension ability can adopt a plurality of popular vocabulary images to describe the self requirements. According to the technical scheme, the expression form used by the user is obtained through the ratio of the professional vocabulary and the popular vocabulary in the consultation information provided by the user. Then, the legal documents are converted into the expression form, so that the user can understand the legal documents conveniently.
Compared with the prior art, the technical scheme can not only provide the legal documents with the consultation opinions for the users according to the consultation information provided by the users, but also know the user comprehension ability, namely the expression form of the user habitual words through the proportion of the professional words and the popular words in the consultation information provided by the users, and convert the legal documents into the expression form of the user habitual words obtained through analysis, so that the users with different comprehension abilities can understand the meaning of the legal documents.
Furthermore, the expression forms comprise a picture expression form, a popular expression form and a professional expression form, the picture expression form is a mode that the legal documents are expressed by inserting pictures into the legal documents, the popular expression form is a mode that the legal documents are expressed by popular vocabularies, and the professional expression form is a mode that the legal documents are expressed by professional vocabularies.
Has the advantages that: the vivid picture image is convenient for people who have no or little literacy to understand the meaning of the legal document. The meaning of the popular vocabulary is intuitive, is easy to understand and is convenient for people to know, but few people who understand the professional vocabulary of the law understand the meaning of the legal documents. The meaning expressed by the professional vocabulary is concise, so that people who understand the legal professional vocabulary can conveniently understand the meaning of the legal documents.
Further, the server further comprises a legal provision library for storing legal provisions.
Has the advantages that: by storing the legal provision library in the server, the supplementation of the legal provision in the subsequent legal document is facilitated.
And further, the expression form conversion module also comprises a legal document template, generates supplementary content information according to the content of the legal document template, sends the supplementary content information to the interactive terminal, and generates a semi-structured legal document according to the supplementary information fed back by the interactive terminal and the legal document template, wherein the supplementary information is information of the individual and related personnel of the user.
Has the advantages that: the user provides supplementary information (information of the user person and the related personnel) in a question and answer mode, and compared with the method that the user describes the information of the user person and the related personnel, the method is more targeted, and the collected supplementary information is more comprehensive and more accurate. And the supplementary information generated by the content of the legal document template can realize the one-to-one correspondence between the questions and the answers when the supplementary information is acquired for the user, and can also save the step that the system analyzes the supplementary information provided by the user to acquire the answers, thereby improving the operation speed of the expression form conversion module.
Further, the expression form conversion module is also used for matching the effective keywords in the legal provision library to obtain corresponding legal provisions, supplementing the legal provisions to corresponding positions of the semi-structure legal provision to generate the legal provision, and feeding the legal provision back to the interactive terminal.
Has the advantages that: according to the technical scheme, the legal provision required by the current situation of the user is obtained in the legal provision library in a matching mode according to the template type and the effective key words, the legal provision is supplemented into the legal document template to generate the legal document, the user does not need to consider the legal provision required to be adopted any more, only the user personal information provided on the legal document template is needed, the user personal information is generally known by the user, the filling is simple, and therefore the difficulty of filling the legal document is greatly reduced.
Further, the expression form conversion module is also used for displaying the supplementary information and the legal provision in the legal document in different colors from the legal document template, and the supplementary information and the legal provision are also displayed in different colors.
Has the advantages that: the legal document template, the supplementary information and the legal terms in the legal document are displayed in different colors, so that a user can visually distinguish various contents in the legal document and check and confirm whether information filling in the legal document is accurate or not.
Furthermore, the server is also used for logging in a specific website and capturing legal terms in the specific website to a legal term library.
Has the advantages that: when the legal terms on the specific website are updated, the server accesses the specific website to capture the legal terms in the specific website into the legal term library, so that the situation that the legal terms in the legal term library are not applicable due to modification of the legal terms is avoided, and the accuracy of the legal terms in the legal term library is ensured by accessing the specific website to supplement and update the legal term library.
The legal document generation method based on user experience prediction sequentially comprises the following steps:
a template storage step, namely storing an effective keyword library and a legal provision library into a server;
an information acquisition step, wherein the consultation information of the user is acquired;
the information analysis step, extracting word information in the consultation information, matching the word information in an effective keyword library to obtain effective keywords, and predicting the effective keywords through a consultation prediction model to obtain consultation opinions;
a problem generation step, namely generating supplementary content information according to a preset legal document template;
a question inquiry step, namely, the interactive terminal plays the supplementary content information in a voice mode or converts the supplementary content information into character information;
a content acquisition step, namely acquiring supplementary information through an interactive terminal, supplementing the supplementary information to a corresponding position of a legal document template, and generating a semi-structured legal document, wherein the supplementary information is an answer provided by a user according to the supplementary content information and comprises information of individuals and related personnel;
a law obtaining step, namely matching corresponding law terms in a law term library according to the effective keywords to obtain corresponding law terms;
a document generation step, namely supplementing the legal terms and the consulting opinions to corresponding positions of the semi-structure legal document template to generate a legal document, and feeding the legal document back to the interactive terminal;
a proportion confirming step, namely inquiring the same professional vocabulary and popular vocabulary from the professional vocabulary library and popular vocabulary library according to the word information, and calculating the proportion between the professional vocabulary and popular vocabulary obtained by inquiry;
confirming the expression form, namely judging the expression form of the legal document of the user according to the ratio between the professional vocabulary and the popular vocabulary and a preset rule;
and a form conversion step of converting the legal document according to the judged expression form of the legal document of the user.
The beneficial effects are that: through the mode, the legal documents can be converted into the legal documents which can be understood by the user according to the expression form of the consultation information of the user, the legal documents of related legal terms are automatically matched for the user, the requirements of knowledge storage and case analysis capability when the user writes the legal documents are weakened, the writing of the legal documents is simpler, and the requirements of the public are met.
Further, in the content acquisition step, the interactive terminal acquires the supplementary information in a question and answer mode or an option mode.
Has the advantages that: the user provides supplementary information through a question-answering mode or an option mode, and compared with a mode that the user manually inputs people, the method is more convenient and fast.
Further, the document generating step further includes marking the supplementary information, the legal provision and the counseling opinions in the legal document in different colors.
Has the advantages that: by marking the supplementary information, the legal terms and the consulting opinions in the legal document with different colors, the contents in the legal document displayed to the user are obviously distinguished, and the user can conveniently review the contents in the legal document.
Drawings
FIG. 1 is a block diagram of an embodiment of a system and method for legal document generation based on user experience prediction;
FIG. 2 is a flowchart of a first embodiment of a legal document generation system and method based on user experience prediction.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, the legal document generation system based on user experience prediction includes a server, an interactive terminal, a consultation analysis module and an expression form conversion module, wherein:
the server is used for storing an effective keyword library, a professional vocabulary library, a popular vocabulary library and an illustration library, wherein the related vocabulary library comprises professional vocabularies and popular vocabularies, and mapping relations exist between the professional vocabularies and the popular vocabularies with the same meanings; the server further comprises a legal provision library for storing legal provisions.
The interactive terminal is used for acquiring the consultation information of the user; in this embodiment, the interactive terminal is an interactive terminal between the law consultation robot and the person, and includes a display screen, a microphone, a keyboard and a loudspeaker, wherein the display screen is used for displaying legal documents or consultation options, the microphone is used for collecting voice information of a user, the keyboard is used for inputting characters by the user, and the loudspeaker is used for interacting the law consultation robot with the user in a voice mode. The interactive terminal is also used for playing the supplementary content information in a voice mode or converting the supplementary content information into text information and displaying the text information through the display screen.
The system comprises a consultation analysis module, a consultation prediction module and a consultation prediction module, wherein the consultation analysis module is used for identifying and converting consultation information to obtain consultation text information, then performing semantic word segmentation processing on the consultation text information to obtain word information, matching the word information from an effective keyword library to obtain effective keywords, and predicting the effective keywords through a consultation prediction model to obtain consultation opinions;
and the expression form conversion module is used for respectively inquiring the same professional vocabulary and popular vocabulary in the professional vocabulary library and popular vocabulary library according to the word information, and judging that the occupation ratio is less than 1:2 and greater than 1:5 in a popular expression mode according to the occupation ratio between the acquired professional vocabulary and popular vocabulary and a preset rule, wherein the occupation ratio is greater than 1:2 in the professional expression mode, and the occupation ratio is less than 1:5 in the picture expression mode. And judging the expression form of the legal document of the user, then processing and converting the legal document according to the expression form, and feeding back the converted legal document to the interactive terminal. The expression form comprises a picture expression form, a popular expression form and a professional expression form, wherein the picture expression form is a mode that the legal document is expressed by inserting pictures into the legal document, the popular expression form is a mode that the legal document is expressed by adopting popular words, and the professional expression form is a mode that the legal document is expressed by adopting professional words.
The expression form conversion module also comprises a legal document template, generates supplementary content information according to the content of the legal document template, sends the supplementary content information to the interactive terminal, and then generates a semi-structural legal document according to the supplementary information fed back by the interactive terminal and the legal document template, wherein the supplementary information is information of the individual of the user and related personnel. The expression form conversion module is also used for matching corresponding legal terms in the legal term library according to the effective keywords to obtain the corresponding legal terms, supplementing the legal terms to corresponding positions of the semi-structure legal document to generate the legal document, and feeding the legal document back to the interactive terminal. The expression form conversion module is also used for displaying the supplementary information and the legal provision in the legal document template in different colors from the legal template, and the supplementary information and the legal provision are also displayed in different colors.
As shown in fig. 2, based on the above legal document generation system based on user experience prediction, a legal document generation method based on user experience prediction is provided, which sequentially includes the following steps:
a template storage step, namely storing an effective keyword library and a legal provision library into a server;
an information acquisition step, wherein the consultation information of the user is acquired;
the information analysis step, extracting word information in the consultation information, matching the word information in an effective keyword library to obtain effective keywords, and predicting the effective keywords through a consultation prediction model to obtain consultation opinions;
a problem generation step, namely generating supplementary content information according to a preset legal document template;
a question inquiry step, namely, the interactive terminal plays the supplementary content information in a voice mode or converts the supplementary content information into character information;
a content acquisition step, namely acquiring supplementary information through an interactive terminal, supplementing the supplementary information to a corresponding position of a legal document template, and generating a semi-structured legal document, wherein the supplementary information is an answer provided by a user according to the supplementary content information and comprises information of individuals and related personnel; in this embodiment, the interactive terminal obtains the supplementary information in a question and answer mode or an option mode.
A law obtaining step, namely matching corresponding law terms in a law term library according to the effective keywords to obtain corresponding law terms;
and a document generation step, namely supplementing the legal terms and the consulting opinions to corresponding positions of the semi-structure legal document template to generate a legal document, and feeding the legal document back to the interactive terminal. And marking the supplementary information, the legal terms and the consultation opinions in the legal document with different colors respectively, generating the legal document, and feeding the legal document back to the interactive terminal.
A proportion confirming step, namely inquiring the same professional vocabulary and popular vocabulary from the professional vocabulary library and popular vocabulary library according to the word information, and calculating the proportion between the professional vocabulary and popular vocabulary obtained by inquiry;
confirming the expression form, namely judging the expression form of the legal document of the user according to the ratio between the professional vocabulary and the popular vocabulary and a preset rule;
and a form conversion step of converting the legal document according to the judged expression form of the legal document of the user.
The specific operation process is as follows: a user inputs consultation information in a voice mode at an interactive terminal of the legal consultation robot, for example, the user signs a work contract with a company, the company does not issue wages when the user goes to work or leaves the work as usual in the contract period, a consultation analysis module extracts word information of the consultation information, namely the user, the company, the work contract and the non-issue wages, the word information is returned to an effective keyword bank to be matched to obtain effective keywords, namely the user, the company, the work contract and the non-issue wages, and the effective keywords are predicted by a consultation prediction model to obtain a consultation opinion, namely the user can go to the court to apply for work arbitration.
The expression form conversion module is used for respectively inquiring the same professional vocabulary and popular vocabulary in the professional vocabulary library and popular vocabulary library according to the word information, and judging that the expression form of the legal document of the user is a popular expression form according to the fact that the ratio of the professional vocabulary to the popular vocabulary is 1:3 and the preset rule is smaller than 1:2 and larger than 1:5 according to one professional vocabulary labor contract and three popular vocabularies I, company and undistributed wage obtained by inquiry. The expression form conversion module generates supplementary information according to the legal document template and sends the supplementary information to the interactive terminal, the interactive terminal identifies the supplementary information and inquires the user about the question of the legal document template in a voice interaction mode or a mode of converting the supplementary information into text information and displaying options on a display, and the user feeds back the supplementary information in a mode of dictating or selecting on the display of the interactive terminal. In this embodiment, a question-and-answer mode is adopted, and specifically, the interactive terminal asks "what is your name? "the user answers" wang "by voice or text input, so that the collected supplementary information is applicant's name of wang, gender of man, age of 42, job of worker, identification number of 5 x 8, name of lie, gender of man, age of 44, job of old plate, identification number of 5 x 7, job of limited company, residence of mahogany of date of, but Li in a certain time does not pay payment of Wang according to the labor contract, and the content of regulation is 'Li in a certain time pays undistributed wage to Wang'. And filling the supplementary information into the obtained legal document module to generate the semi-structure legal document.
The expression form conversion module can also obtain the third ten and eighty-five legal terms of 'labor mediation arbitration method', 'labor law' according to the matching of the effective keywords 'I', 'company', 'labor contract', 'non-released wage' in the legal term library. Matching the third ten and eighty-five matched legal provisions 'labor mediation arbitration law' and 'labor law' into the regulation content to form a legal document, displaying the supplementary information and the legal provisions in the legal document by adopting different colors different from the legal template, and displaying the supplementary information and the legal provisions by adopting different colors. And feeding back the legal documents to the interactive terminal. In this embodiment, the legal template is black, the supplementary information is red, and the legal provision is blue. And then, the legal document is converted according to the expression form, and the converted legal document is fed back to the interactive terminal.
Example two
The difference from the first embodiment is that the server is further configured to access a specific website, and capture the legal terms in the specific website to the legal term library. In this embodiment, the website address of the law and regulation database (http:// search. china. gov. cn/search2.html) is accessed, and in other embodiments, the website address with all valid legal terms may be used. The method avoids the inapplicability of the legal provision in the legal provision library caused by the modification of the legal provision, and ensures the accuracy of the legal provision in the legal provision library by accessing a specific website and supplementing and updating the legal provision library.
EXAMPLE III
The difference from the first embodiment is that the interactive terminal further comprises a camera for collecting the user image. The system comprises a plurality of groups of human eye images, a Cascade Classifier classifier, an image analysis module and a convolutional neural network analysis model, wherein the Cascade Classifier classifier is used for identifying irises in human eyes in user images according to the user images, the sizes and the positions of relative eye angles of the irises are analyzed by the convolutional neural network analysis model through identifying the irises in continuous user images, whether the visual angle of a user is on a display of a legal consultation robot interaction terminal is obtained, and the convolutional neural network analysis model in the embodiment is used for training a plurality of groups of human eye images and corresponding visual angle ranges to form a neural network model with a mapping relation. When the visual angle of the user is not on the display of the law consultation robot interaction terminal, which indicates that the user does not concentrate on inputting the supplementary information at this time, the interaction terminal re-determines the content of the supplementary information input by the user in a voice manner, for example, the interaction terminal inquires that "you have several children" in a voice manner, the user inputs "one child" in a voice manner, and the user image acquired at this moment is analyzed to find that the visual angle of the user at this moment is not on the display of the law consultation robot interaction terminal, and the interaction terminal sends out a verification inquiry "does you have one child" in a voice manner? In this way, the accuracy of the supplementary content input by the user can be increased, so that the generated legal documents are more suitable and accurate.
Example four
Compared with the first embodiment, the difference is that the interactive terminal is further used for collecting the comprehension ability of the user on legal professional words, specifically, collecting high-frequency words of the user in the expression process, describing professional words of a legal fact and the number of the professional words, and generating comprehension ability information by using the rationality of the professional words in the context (which can be judged by comparing with the pre-stored correct expression). The expression form conversion module selects a proper expression form in the presentation step according to the culture level information (actively provided by the customer) and the comprehension ability information of the user. The foregoing relative terms refer to relative terms as they are used in a daily context, whether related or not. Such as a major vocabulary of fixed fees (non-deductible fees, seller default double compensation) and contracts (deductible fees, seller default refund fees). If the description at user a is: given an order for money, but how far the seller violates the claim can be made, it can be determined that the user does not understand the concept of the subscription and the subscription. Thus, there is a need to determine and interpret the legal facts given by the user at the time of generating the report to help the customer understand the concept more quickly. If the description of user A is: given "ding" gold, one that withholds the price. It can be determined that the client understands the related concepts and the related explanation can be omitted when generating the report to improve the reading efficiency of the user.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. Legal document generation system based on user experience prediction is characterized by comprising a server, an interactive terminal, a consultation analysis module and an expression form conversion module, wherein:
the server is used for storing an effective keyword library, a professional vocabulary library, a popular vocabulary library and an illustration library, wherein the related vocabulary library comprises professional vocabularies and popular vocabularies, and mapping relations exist between the professional vocabularies and the popular vocabularies with the same meanings;
the interactive terminal is used for acquiring the consultation information of the user;
the system comprises a consultation analysis module, a consultation prediction module and a consultation prediction module, wherein the consultation analysis module is used for identifying and converting consultation information to obtain consultation text information, then performing semantic word segmentation processing on the consultation text information to obtain word information, matching the word information from an effective keyword library to obtain effective keywords, and predicting the effective keywords through a consultation prediction model to obtain consultation opinions;
and the expression form conversion module is used for respectively inquiring the same professional vocabulary and popular vocabulary in the professional vocabulary library and popular vocabulary library according to the word information, judging the expression form of the legal document of the user according to the preset rule according to the occupation ratio between the professional vocabulary and popular vocabulary obtained by inquiry, then processing and converting the legal document according to the expression form, and feeding back the converted legal document to the interactive terminal.
2. The user experience prediction based legal document generation system of claim 1, wherein: the expression form comprises a picture expression form, a popular expression form and a professional expression form, wherein the picture expression form is a mode that the legal document is expressed by inserting pictures into the legal document, the popular expression form is a mode that the legal document is expressed by adopting popular words, and the professional expression form is a mode that the legal document is expressed by adopting professional words.
3. The user experience prediction based legal document generation system of claim 1, wherein: the server further includes a legal provision repository for storing legal provisions.
4. The user experience prediction based legal document generation system of claim 1, wherein: the expression form conversion module also comprises a legal document template, generates supplementary content information according to the content of the legal document template, sends the supplementary content information to the interactive terminal, and then generates a semi-structural legal document according to the supplementary information fed back by the interactive terminal and the legal document template, wherein the supplementary information is information of the individual of the user and related personnel.
5. The user experience prediction based legal document generation system of claim 3, wherein: the expression form conversion module is also used for matching the effective keywords in the legal provision library to obtain corresponding legal provisions, supplementing the legal provisions to corresponding positions of the semi-structure legal provision to generate the legal provision, and feeding back the legal provision to the interactive terminal.
6. The user experience prediction based legal document generation system of claim 5, wherein: the expression form conversion module is also used for displaying the supplementary information and the legal provision in the legal document in different colors from the legal document template, and the supplementary information and the legal provision are also displayed in different colors.
7. The user experience prediction based legal document generation system of claim 3, wherein: the server is also used for logging in a specific website and capturing legal terms in the specific website to a legal term library.
8. The legal document generation method based on user experience prediction is characterized by sequentially comprising the following steps of:
a template storage step, namely storing an effective keyword library and a legal provision library into a server;
an information acquisition step, wherein the consultation information of the user is acquired;
the information analysis step, extracting word information in the consultation information, matching the word information in an effective keyword library to obtain effective keywords, and predicting the effective keywords through a consultation prediction model to obtain consultation opinions;
a problem generation step, namely generating supplementary content information according to a preset legal document template;
a question inquiry step, namely, the interactive terminal plays the supplementary content information in a voice mode or converts the supplementary content information into character information;
a content acquisition step, namely acquiring supplementary information through an interactive terminal, supplementing the supplementary information to a corresponding position of a legal document template, and generating a semi-structured legal document, wherein the supplementary information is an answer provided by a user according to the supplementary content information and comprises information of individuals and related personnel;
a law obtaining step, namely matching corresponding law terms in a law term library according to the effective keywords to obtain corresponding law terms;
a document generation step, namely supplementing the legal terms and the consulting opinions to corresponding positions of the semi-structure legal document template to generate a legal document, and feeding the legal document back to the interactive terminal;
a proportion confirming step, namely inquiring the same professional vocabulary and popular vocabulary from the professional vocabulary library and popular vocabulary library according to the word information, and calculating the proportion between the professional vocabulary and popular vocabulary obtained by inquiry;
confirming the expression form, namely judging the expression form of the legal document of the user according to the ratio between the professional vocabulary and the popular vocabulary and a preset rule;
and a form conversion step of converting the legal document according to the judged expression form of the legal document of the user.
9. The method of claim 8, wherein the method comprises: in the content acquisition step, the interactive terminal acquires the supplementary information in a question-answering mode or an option mode.
10. The method of claim 9 for legal document generation based on user experience prediction, wherein: the document generating step further includes marking the supplementary information, the legal provision and the consulting suggestion in the legal document in different colors, respectively.
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| CN111651680A (en) * | 2020-07-20 | 2020-09-11 | 在先信息技术(天津)有限公司 | Method and system for self-help generation of legal documents |
| CN112650838A (en) * | 2020-12-31 | 2021-04-13 | 南京视察者智能科技有限公司 | Intelligent question and answer method and system based on historical case big data |
| CN116822477A (en) * | 2023-05-16 | 2023-09-29 | 浙江法之道信息技术有限公司 | Automatic legal document generation system |
| CN116822477B (en) * | 2023-05-16 | 2024-04-30 | 浙江法之道信息技术有限公司 | Automatic legal document generation system |
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| CN111651680A (en) * | 2020-07-20 | 2020-09-11 | 在先信息技术(天津)有限公司 | Method and system for self-help generation of legal documents |
| CN112650838A (en) * | 2020-12-31 | 2021-04-13 | 南京视察者智能科技有限公司 | Intelligent question and answer method and system based on historical case big data |
| CN112650838B (en) * | 2020-12-31 | 2023-07-14 | 南京视察者智能科技有限公司 | Intelligent question-answering method and system based on historical case big data |
| CN116822477A (en) * | 2023-05-16 | 2023-09-29 | 浙江法之道信息技术有限公司 | Automatic legal document generation system |
| CN116822477B (en) * | 2023-05-16 | 2024-04-30 | 浙江法之道信息技术有限公司 | Automatic legal document generation system |
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