Method and system for strategy generation for legal dispute mediation

Abstract

The invention discloses a strategy generation method and system for legal dispute mediation, and the method comprises the steps: obtaining statement data of two dispute parties, and carrying out the data preprocessing of the statement data into first data; and analyzing the first data into second data. And matching the second data with the corresponding legal clauses, and identifying applicable legal cases. And generating a second mediation strategy corresponding to the statement data according to the first mediation strategy of the legal case corresponding to the second data and the second data. The mediation strategy and suggestion are automatically generated by analyzing the statement of the two dispute parties and combining the related legal clauses and the case library, so that the generation efficiency and accuracy of the mediation strategy are improved, and the workload of manual mediation is reduced.

Description

Technical Field

[0001] The present invention relates to the field of legal technology, and in particular to a method and system for generating strategies for legal dispute mediation. Background Art

[0002] In the existing legal dispute mediation process, mediators usually rely on their own legal knowledge and experience to analyze the statements of both parties to the dispute and then develop a mediation strategy. This manual mediation method is time-consuming and costly, and is greatly affected by the mediator's personal ability and experience, which can easily lead to subjectivity and instability in the mediation results. In addition, as the types and number of legal disputes continue to increase, the demand for mediation is gradually increasing, and traditional mediation methods are difficult to meet the needs of modern society. Therefore, how to use artificial intelligence and big model technology to automatically generate efficient and accurate mediation strategies has become an urgent problem to be solved. Summary of the invention

[0003] In view of the above defects, the technical problem solved by the present invention is to provide a method for generating strategies for legal dispute mediation, so as to solve the problems that the existing mediation methods are time-consuming, costly, and affected by individual objective ability and experience, resulting in subjective and unstable mediation results. The present invention analyzes the statements of the two parties to the dispute, combines relevant legal clauses and case libraries, and automatically generates mediation strategies and suggestions, thereby improving the efficiency and accuracy of generating mediation strategies and reducing the workload of manual mediation.

[0004] A first aspect of the present invention provides a method for generating a strategy for legal dispute mediation, the method comprising: S101: obtaining statement data of both parties to the dispute, and preprocessing the statement data into first data.

[0005] S102: Parse the first data into second data.

[0006] S103: Match the second data with the corresponding legal clauses to identify the applicable legal cases, wherein the legal cases correspond to the mediation strategies.

[0007] S104: Generate a second mediation strategy corresponding to the statement data according to the first mediation strategy of the legal case corresponding to the second data and the second data.

[0008] According to an embodiment of the present invention, the statement data includes: written text, voice transcription text, pictures and videos.

[0009] According to an embodiment of the present invention, the statement data is preprocessed into first data, including: converting the voice, picture and video data into text data.

[0010] According to one embodiment of the present invention, parsing the first data into second data includes: parsing the text data through natural language processing technology (NLP) and large language model (LLM), and extracting facts, opinions, controversial points and evidence information from the text data.

[0011] According to an embodiment of the present invention, matching the second data with the corresponding legal clauses and identifying the applicable legal cases includes:

[0012] According to the pre-established legal clause library and case library, find the legal clauses related to the facts and opinions of the text data. According to the dispute points and legal clauses, find the corresponding legal cases in the case library.

[0013] According to an embodiment of the present invention, the first mediation strategy for the legal case corresponding to the second data and the second mediation strategy corresponding to the statement data are generated according to the second data, including: generating the second mediation strategy corresponding to the statement data according to the facts, viewpoints, controversial points, evidence information of the text data and the first mediation strategy. The mediation strategies of the legal cases all correspond to the adjustment strategy template, including: finding the adjustment strategy template of the first adjustment strategy as the adjustment strategy template of the text data. Generate the second adjustment strategy according to the adjustment strategy template and the facts, viewpoints, controversial points, and evidence information of the text data.

[0014] According to an embodiment of the present invention, the method further includes: S105: reviewing whether the second mediation strategy is not greater than a preset threshold of the legal clause: if it is greater than the preset threshold, directly adjust to step S101. If it is less than the preset threshold, continue to step S106.

[0015] According to an embodiment of the present invention, the method further includes: S106: outputting the second adjustment strategy in the form of text or picture.

[0016] A second aspect of the present invention provides a system for generating strategies for legal dispute mediation, comprising:

[0017] Acquisition module: used to obtain the statement data of both parties to the dispute, and pre-process the statement data into first data. Analysis module: used to analyze the first data into second data. Matching module: used to match the second data with the corresponding legal clauses, identify the applicable legal cases, and the legal cases correspond one to one with their mediation strategies. Generation module: used to generate a second mediation strategy corresponding to the statement data based on the first mediation strategy of the legal case corresponding to the second data and the second data. Review and learning module: used to review the second mediation strategy to see if it is not greater than the preset threshold of the legal clauses. Output module: used to output the second adjustment strategy in the form of text or pictures.

[0018] The third aspect of the present invention provides an intelligent device, including a transmitter, a receiver, a memory and a processor; the memory is used to store computer instructions; the processor is used to run the computer instructions stored in the memory to implement the above method for generating strategies for legal dispute mediation.

[0019] A fourth aspect of the present invention provides a storage medium, comprising: a readable storage medium and computer instructions, wherein the computer instructions are stored in the readable storage medium; the computer instructions are used to implement the above method for generating strategies for legal dispute mediation.

[0020] The beneficial effects provided by the present invention are as follows: first, the mediation efficiency is improved, statements are quickly parsed and mediation strategies are generated, and the time and effort required for manual mediation are reduced; second, based on the matching and analysis of the legal clause library and the case library, the generated mediation strategy is more accurate and reasonable, thereby improving the accuracy of mediation; third, the bias caused by manual intervention and subjective judgment is reduced, and a more objective mediation solution is provided; fourth, the mediation strategy generated through multiple rounds of optimization has higher operability and execution effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0022] Figure 1 A flow chart of a method for generating a strategy for legal dispute mediation disclosed in an embodiment of the present invention;

[0023] Figure 2 A flowchart of another method for generating a strategy for legal dispute mediation disclosed in an embodiment of the present invention;

[0024] Figure 3 A system block diagram for generating a strategy for legal dispute mediation disclosed in an embodiment of the present invention.

[0025] The above drawings show clear embodiments of the present disclosure, which will be described in more detail below. These drawings and text descriptions are not intended to limit the scope of the present disclosure in any way, but to illustrate the concepts of the present disclosure to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0026] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0027] The following is a detailed description of the legal dispute mediation of labor disputes. The first aspect of the present invention provides a method for generating a strategy for legal dispute mediation, such as Figure 1 As shown, it includes: S101: obtaining statement data of both parties to the dispute, and preprocessing the statement data into first data.

[0028] First, obtain the statement data of the worker and the employer, including: labor contract, salary payment records, attendance records and documents related to working conditions, etc.

[0029] The files here include but are not limited to: pictures, audio, video, email correspondence, network information, etc., which can also be used as part of the statement data.

[0030] S102: Parse the first data into second data.

[0031] The data are preprocessed into text information, for example, the text information here can be labor contract terms and salary payment amounts.

[0032] The second data here includes key information points, including facts, opinions, controversial points and evidence information.

[0033] The text data is parsed by natural language processing (NLP) and large language model (LLM) to extract facts, opinions, controversial points and evidence information from the text data.

[0034] For example, the facts of the incident: the employer failed to pay the worker's wages on time.

[0035] Viewpoint, the worker's viewpoint: require the employer to pay the worker 10 months' salary of 50,000 yuan on time and provide labor compensation of 50,000 yuan, totaling 100,000 yuan.

[0036] Employer’s point of view: The employee was absent from work for one week without reason, so the employee has been fired and will not be paid wages or compensation.

[0037] Based on the views of both parties, the dispute point of the incident was that the worker demanded that the employer pay 10 months' salary and compensation totaling 100,000 yuan, but the employer refused to pay.

[0038] The amount must be clearly stated here, as it is one of the important parameters influencing accurate strategy adjustments later.

[0039] Evidence information, including the labor contract, wage payment records, and attendance records provided by the worker, can serve as the basis for judging and mediating legal disputes between the two parties.

[0040] S103: Match the second data with the corresponding legal clauses to identify the applicable legal cases, wherein the legal cases correspond to the mediation strategies.

[0041] According to the pre-established legal clause library and case library, find the legal clauses related to the facts and opinions of the text data.

[0042] Determine the legal scope of the case based on the facts of the incident. For example, if this case is a labor dispute, design the labor law and match the applicable legal provisions in the Labor Contract Law regarding wage payment and labor conditions.

[0043] According to the key information points of the incident, such as the amount of overdue wages and the number of months of overdue wages, if the amount of overdue wages in a year is 100,000 yuan, it is a similar legal case as overdue wages of 100,000 yuan for 10 months, which can be used as the basis for the output of the dispute mediation template. However, although both overdue wages are 1 million yuan in a year and 100,000 yuan in 10 months, they cannot be used as similar reference cases. This needs to be subdivided when setting up the case library, which is also very important for optimizing the model and the fairness, impartiality and accuracy of case handling.

[0044] Here, we find the closest legal case based on these key points of the case as the basis for strategy generation.

[0045] By matching the key information points of the case with legal reference cases, for example, a Shanghai housekeeping company owed a nanny named Zhang 9 months’ salary, 110,000 yuan, which can be used as a reference case for Xu in this case. The specific details also depend on the model’s learning ability. The more optimized the model is, the stronger its learning ability is, and the more accurately it can match pending cases according to the case database.

[0046] Check the similarity match between the pending case and the case database, and take the one with the highest match as the legal case of the pending case. The match here is not only the amount involved, but all key information points, including evidence information, in order to increase the accuracy of model generation and simplify the subsequent review. For example, in this labor dispute case, all information such as "labor contract, salary payment record, attendance record and working conditions" are used as matching indicators. Take the best matching data. Of course, the data can also be pre-processed here. For example, the specific geographic coordinates of Huangpu District, Shanghai, as well as the names of the company and the workers are not used as data matching elements, only matching data. When extracting key information points, these elements are also no longer extracted from the scope. Only the facts, opinions, controversial points and evidence information representing the facts, opinions and controversial points of the event are extracted. For example, Zhang from a certain company on Penglai Road, Huangpu District, Shanghai was owed 8,000 yuan in wages for 7 months by the company. The key point fact extracted is that the company owed Zhang 8,000 yuan in wages for 7 months.

[0047] S104: Generate a second mediation strategy corresponding to the statement data according to the first mediation strategy of the legal case corresponding to the second data and the second data. Including: generating a second mediation strategy corresponding to the statement data according to the facts, opinions, dispute points, evidence information of the text data and the first mediation strategy. The mediation strategies of the legal case all correspond to the adjustment strategy template, including: finding the adjustment strategy template of the first adjustment strategy as the adjustment strategy template of the text data.

[0048] A second adjustment strategy is generated according to the adjustment strategy template and the facts, viewpoints, controversial points, and evidence information of the text data.

[0049] Based on the matched cases and their adjustment strategies, a legal dispute adjustment strategy related to the key information points of the stated cases is generated.

[0050] This is just an adjustment strategy template, not the final adjustment strategy. Next, we will learn how to write the adjustment strategy into the adjustment strategy template.

[0051] According to the worker's point of view and evidence information, judge the authenticity of the incident, and then make a judgment based on the corresponding legal regulations "Labor Contract Law", or whether it is covered by the "Labor Contract Law". For example, the first point of view of the worker is to ask the employer to pay the labor wages of 50,000 yuan in arrears. According to the evidence information provided by the worker, such as attendance records, labor contracts and wage payment details, judge whether the facts stated by the worker are accurate and whether the point of view is reliable. If the facts are accurate and the point of view is reliable, write in the template of "Wage Arrears Handling" in the adjustment strategy template that the employer needs to pay the wages owed to Xu (worker) for 10 months from November 21, 2013 to September 31, 2014, a total of 50,000 yuan. Similar text is written into the adjustment strategy template as one of the adjustment strategies.

[0052] If the evidence is inaccurate, suggestions will be given. For example, without attendance records and wage payment details, it is impossible to determine the specific wage amount of the employee, and whether he was on duty from November 21, 2013 to September 31, 2014. The template for "handling wage arrears" is given, suggesting that the employee provide "labor contract", "attendance records and wage payment details", "attendance records", and "wage payment details".

[0053] According to the second point of view of the worker, is it reasonable to ask for compensation of 50,000 yuan? Similarly, according to the viewpoints and evidence put forward by the worker, it is judged that the worker is owed 50,000 yuan of wages for 10 months by the employer. However, according to the legal provisions, Article 85 of the Labor Contract Law requires the employer to pay additional compensation to the worker at a rate of more than 50% and less than 100% of the amount payable. The worker's request is reasonable here. For specific values, please refer to the template data. The template data here comes from the proportion of liquidated damages in the "Wage Arrears Handling" template. There is no specific limit, or a suggestion of a numerical range is given. No specific limit is made here.

[0054] Of course, it can also be used for contract disputes, intellectual property disputes, and all legal dispute cases, to provide the parties with reasonable solutions quickly and efficiently. At the same time, it saves time to the maximum extent, protects the legitimate rights and interests of both parties, and enables both parties to solve problems in an environment of reasonable procedures, which greatly eliminates objective factors such as human or process factors and has strong implementation power.

[0055] Another embodiment of the present invention, as Figure 2 As shown, another method flow chart of the strategy generation of legal dispute mediation disclosed in an embodiment of the present invention includes step 105 and step 106 in addition to the above steps S101, S102, S103, and S104.

[0056] Step 105: Review the second mediation strategy to see if it is not greater than the preset threshold of the legal clause:

[0057] If it is greater than the preset threshold, directly go to step S101.

[0058] If it is less than the preset threshold, proceed to step S106. The specific adjustment policy template may be set according to different events, legal terms, and specific settings. The preset threshold here is not specifically limited.

[0059] Provide the parties with a variety of objective suggestions based on legal documents to the greatest extent possible.

[0060] The initially generated mediation strategy can also be optimized through multiple rounds through machine learning algorithms and feedback mechanisms to ensure its legality, fairness and operability.

[0061] S106: Output the second adjustment strategy in the form of text or picture. Generally, it is expressed in the form of text, of course, other forms such as email, video, or audio that display the adjustment strategy results are not excluded here.

[0062] The beneficial effects provided by the present invention are: first, improving mediation efficiency, quickly parsing statements and generating mediation strategies, reducing the time and energy required for manual mediation; second, based on the matching and analysis of the legal clause library and the case library, the generated mediation strategy is more accurate and reasonable, improving the accuracy of mediation; third, reducing the bias caused by manual intervention and subjective judgment, and providing a more objective mediation plan; fourth, the mediation strategy generated through multiple rounds of optimization has higher operability and execution effect. Give the parties a variety of objective suggestions based on legal documents to the maximum extent.

[0063] At the same time, it saves time to the maximum extent, protects the legitimate rights and interests of both parties, and enables both parties to solve problems in an environment of reasonable procedures, greatly eliminating objective factors such as human or process factors, and has strong implementation power.

[0064] A second aspect of the present invention provides a system 300 for generating strategies for legal dispute mediation, such as Figure 3As shown, it includes: a collection module 301: used to obtain the statement data of the two parties to the dispute, and pre-process the statement data into the first data. A parsing module 302: used to parse the first data into the second data. A matching module 303: used to match the second data with the corresponding legal clauses, identify the applicable legal cases, and the legal cases correspond one to one with their mediation strategies. A generation module 304: used to generate a second mediation strategy corresponding to the statement data based on the first mediation strategy of the legal case corresponding to the second data and the second data. A review and learning module 305: used to review whether the second mediation strategy is not greater than the preset threshold of the legal clause. An output module 306: used to output the second adjustment strategy in the form of text or pictures.

[0065] The third aspect of the present invention provides an intelligent device, including a transmitter, a receiver, a memory and a processor; the memory is used to store computer instructions; the processor is used to run the computer instructions stored in the memory to implement the above method for generating strategies for legal dispute mediation.

[0066] A fourth aspect of the present invention provides a storage medium, comprising: a readable storage medium and computer instructions, wherein the computer instructions are stored in the readable storage medium; the computer instructions are used to implement the above method for generating strategies for legal dispute mediation.

[0067] The beneficial effects provided by the present invention are as follows: first, the mediation efficiency is improved, statements are quickly parsed and mediation strategies are generated, and the time and effort required for manual mediation are reduced; second, based on the matching and analysis of the legal clause library and the case library, the generated mediation strategy is more accurate and reasonable, thereby improving the accuracy of mediation; third, the bias caused by manual intervention and subjective judgment is reduced, and a more objective mediation solution is provided; fourth, the mediation strategy generated through multiple rounds of optimization has higher operability and execution effect.

[0068] Obviously, the above specific implementation cases are only examples for illustrating the application of the present method, rather than limiting the implementation methods. For those skilled in the art, other different forms of changes and modifications can be made on the basis of the above description to study other related issues. Therefore, the protection scope of the present invention should be the protection scope of the claims.

[0069] A person of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk, etc., various media that can store program codes.

[0070] The electronic device and other embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0071] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the embodiments of the present invention, rather than to limit them. Although the embodiments of the present invention have been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

[0073] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be regarded as exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0074] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for generating strategies for legal dispute mediation, characterized in that: The method comprises: S101: Acquire statement data of both parties to the dispute, and pre-process the statement data into first data; S102: parsing the first data into second data; S103: Match the second data with the corresponding legal clauses, identify the applicable legal cases, and the legal cases correspond to the mediation strategies one by one; S104: Generate a second mediation strategy corresponding to the statement data according to the first mediation strategy of the legal case corresponding to the second data and the second data.

2. The method according to claim 1, characterized in that The statement data includes: text, voice, pictures and videos.

3. The method according to claim 2, characterized in that The statement data is preprocessed into first data, including: converting the voice, picture and video data into text data.

4. The method according to claim 3, characterized in that The parsing of the first data into second data includes: parsing the text data through natural language processing technology (NLP) and large language model (LLM), and extracting facts, opinions, controversial points and evidence information from the text data.

5. The method according to claim 4, characterized in that The matching of the second data with the corresponding legal clauses and identifying the applicable legal cases includes: Find legal clauses related to the facts and opinions of the text data according to the pre-established legal clause library and case library; Find the corresponding legal case in the case library based on the dispute points and legal clauses.

6. The method according to claim 5, characterized in that The step of generating a second mediation strategy corresponding to the statement data based on the first mediation strategy corresponding to the legal case of the second data and the second data includes: According to the facts, opinions, dispute points, evidence information of the text data and the first mediation strategy, a second mediation strategy corresponding to the statement data is generated, and the mediation strategies of the legal cases all correspond to the adjustment strategy templates, including: Finding an adjustment policy template of the first adjustment policy as the adjustment policy template of the text data; A second adjustment strategy is generated according to the adjustment strategy template and the facts, viewpoints, controversial points, and evidence information of the text data.

7. The method according to claim 1, characterized in that The method further comprises: S105: Review the second mediation strategy to see whether it is not greater than the preset threshold of the legal clause: If it is greater than the preset threshold, directly go to step S101; If it is less than or equal to the preset threshold, proceed to step S106.

8. The method according to claim 7, characterized in that The method further comprises: S106: Outputting the second adjustment strategy in text or picture form.

9. A system for generating strategies for legal dispute mediation, characterized in that: The system comprises: Collection module: used for acquiring statement data of both parties to the dispute, and preprocessing the statement data into first data; Parsing module: used for parsing the first data into second data; Matching module: used to match the second data with the corresponding legal clauses, identify the applicable legal cases, and the legal cases correspond to the mediation strategies; A generating module: used for generating a second mediation strategy corresponding to the statement data according to the first mediation strategy of the legal case corresponding to the second data and the second data; Review learning module: used to review whether the second mediation strategy is not greater than the preset threshold of the legal clause; Output module: used to output the second adjustment strategy in text or picture form.

10. A smart device, characterized in that: include: transmitter, receiver, memory and processor; The memory is used to store computer instructions; The processor is used to execute the computer instructions stored in the memory to implement the method for generating strategies for legal dispute mediation as described in any one of claims 1 to 8.

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