A secure and intelligent batch processing online arbitration case management platform

Abstract

The present invention provides a secure, intelligent, and batch-processing online arbitration case management platform. The financial end provides intelligent management for financial institutions' arbitration of financial contract disputes, the sending of attorney letters, case outsourcing, and document generation. The arbitration end provides full-process, intelligent, and batch processing for arbitration institutions' arbitration cases. The platform intelligently assigns case secretaries and arbitrators based on arbitration case data submitted by financial institutions. The arbitration end also intelligently generates documents in batches throughout the entire process, automatically electronically signing and sealing them according to process configuration, and electronically delivers them to the parties. The attorney end provides comprehensive management for law firms' sending of attorney letters and case outsourcing. The execution end provides case execution assistance management for execution agencies. The party end receives electronic delivery information related to arbitration cases for the parties. The platform integrates multiple advanced technologies in the fields of networking, cloud computing, OCR, and NLP, ensuring secure, intelligent, efficient, standardized, convenient, and visual management of online arbitration cases.

Description

Technical Field

[0001] The present invention belongs to the technical field of legal services, and in particular relates to a network arbitration case management platform for secure and intelligent batch processing. Background Art

[0002] With the rapid development of internet technology, more and more contract dispute resolution methods are shifting online, with online arbitration being a key form of dispute resolution. However, existing online arbitration case management methods suffer from numerous shortcomings, such as low processing efficiency, difficulty filing contract disputes involving financial institutions, and poor user experience, making them unable to meet the growing demand for online arbitration. Summary of the Invention

[0003] In response to the shortcomings of the existing technology, the present invention provides a secure, intelligent, batch-processing online arbitration case management platform, which improves the efficiency of online arbitration case management and ensures the secure, intelligent, efficient, standardized, convenient and visual processing of online arbitration cases.

[0004] A secure and intelligent batch processing online arbitration case management platform, comprising a platform end and multiple clients, with data between the clients encrypted and transmitted via dedicated network lines;

[0005] Platform side: used to provide unified service interface management, intelligent evidence identification and analysis, intelligent document generation, intelligent process control, basic data configuration management, and data statistical analysis;

[0006] The client includes:

[0007] Financial side: Used to provide intelligent management for arbitration cases, lawyer letter delivery, and case outsourcing for financial institutions; intelligent batch generation of documents based on case overdue data and evidence files; also used for one-click submission of arbitration cases to arbitration institutions after the legal management personnel of financial institutions verify and approve the arbitration cases;

[0008] Arbitration side: used to provide full-process, intelligent, and batch processing for arbitration cases of arbitration institutions. The platform intelligently assigns case secretaries and arbitrators based on arbitration cases submitted by financial institutions, intelligently generates documents in batches throughout the entire process, and automatically configures electronic signatures based on the process, and electronically delivers them to the parties.

[0009] Lawyer side: used to send lawyer letters and provide comprehensive management for outsourcing cases for law firms;

[0010] Execution side: used to provide case execution auxiliary management for the execution agency;

[0011] Party side: used for the parties to receive electronic service information related to arbitration cases.

[0012] Furthermore, the financial end is also used for: providing financial institutions with overdue data management, evidence management, case management, and report statistics management.

[0013] Furthermore, the arbitration terminal is also used to:

[0014] Obtain information on historical arbitration cases and corresponding arbitration awards;

[0015] Use historical arbitration cases and arbitration award information to train neural network models;

[0016] Extract arbitration request information from arbitration cases;

[0017] The arbitration request information is input into the neural network model to predict the arbitration award information of the arbitration case and output historical arbitration cases that are consistent with the arbitration award information.

[0018] Furthermore, the arbitration terminal is also used to:

[0019] When receiving the award information of the arbitration case and the arbitration award information of the arbitration case is inconsistent with the original award information, adding the arbitration case award information to the revision database;

[0020] Train the neural network model using the revised database.

[0021] Furthermore, the arbitration end is specifically used for:

[0022] Extracting keywords from historical arbitration cases, including dispute types and dispute keywords; the dispute keywords extraction method includes: segmenting arbitration request information in historical arbitration cases, matching the segmented phrases with a dispute database, where the dispute database includes multiple subject phrases, and defining subject phrases that are identical or similar to the segmented phrases as dispute keywords;

[0023] Arbitrators who extract arbitration award information from historical arbitration cases;

[0024] The knowledge graph is updated based on keywords and arbitrators. The knowledge graph includes multiple first-level nodes, multiple second-level nodes, and multiple third-level nodes. Second-level nodes are child nodes of first-level nodes, and third-level nodes are child nodes of second-level nodes. First-level nodes represent dispute types, second-level nodes represent keywords, and third-level nodes represent arbitrators.

[0025] Extract keywords from arbitration request information of arbitration cases;

[0026] Match the extracted keywords with the knowledge graph to obtain the second-level nodes with the largest number of matches;

[0027] Assign arbitration cases to arbitrators associated with second-level nodes.

[0028] Furthermore, the arbitration terminal is also used to:

[0029] Add multiple fourth-level nodes to the knowledge graph; the fourth-level nodes are used to indicate the difficulty of the case;

[0030] Calculate the sum of the difficulty of all arbitration cases handled by each arbitrator separately;

[0031] The status of the N arbitrators with the largest sum of difficulty is defined as suspended from accepting cases.

[0032] Furthermore, the arbitration terminal is also used to:

[0033] Track and record the entire arbitration process;

[0034] Generate a hash value based on all evidence documents in the arbitration case;

[0035] Complete electronic signatures for arbitration cases.

[0036] Furthermore, the law firm side is also used to provide electronic signature management, CA signature certificate management, and document receiving services for law firms.

[0037] Furthermore, the execution end is specifically used to provide the execution agency with pre-execution supervision management, execution case acceptance, information backfilling, execution case division, and case handling process management.

[0038] Furthermore, the party side is also used to provide the parties with arbitrator selection, arbitration defense, and counterclaim applications.

[0039] As can be seen from the above technical solutions, the secure and intelligent batch processing online arbitration case management platform provided by the present invention has the following advantages:

[0040] 1) Digital Arbitration, Technological Innovation. This platform integrates multiple advanced technologies in the fields of networking, cloud computing, OCR, and NLP, enabling case management, intelligent document generation, automatic information reporting, electronic signatures, batch processing, efficient adjudication, and electronic delivery. This ensures the secure, intelligent, efficient, standardized, convenient, and visual processing of online arbitration cases.

[0041] 2) Diversified dispute resolution and innovative connections. This platform provides financial institutions with multiple dispute resolution channels, connecting financial institutions, arbitration institutions, enforcement agencies, and law firms to form an integrated financial dispute resolution service platform.

[0042] 3) Cost reduction, efficiency improvement, speed and security. Financial institutions can manage cases through the financial terminal and submit them for arbitration with one click. This exponentially improves legal work efficiency, reduces legal costs, significantly reduces the generation of non-performing assets, effectively improves the financial industry environment, and forms a healthy financial ecological closed loop.

[0043] 4) Digital case handling, convenient and efficient. The platform is easy to operate, offers visual progress, real-time feedback, electronic delivery, and intelligent processing. It is highly user-friendly, meets the diverse needs of users, and significantly reduces judicial pressure. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly describes the drawings required for the specific embodiments or the description of the prior art. Similar elements or parts are generally identified by similar reference numerals throughout the drawings. Elements or parts in the drawings are not necessarily drawn to scale.

[0045] Figure 1 This is a module block diagram of a secure, intelligent, batch-processing online arbitration case management platform provided in an embodiment. DETAILED DESCRIPTION

[0046] The following embodiments of the technical solution of the present invention are described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention and are therefore only examples and are not intended to limit the scope of protection of the present invention. It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the present invention belongs.

[0047] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0048] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in the specification and appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0049] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0050] Example:

[0051] A secure and intelligent batch processing online arbitration case management platform, see Figure 1 , including the platform and multiple clients, the data between the clients is encrypted and transmitted through a dedicated network line;

[0052] Platform side: used to provide unified service interface management, intelligent evidence identification and analysis, intelligent document generation, intelligent process control, basic data configuration management, and data statistical analysis;

[0053] The client includes:

[0054] Financial side: Used to provide intelligent management for arbitration cases, lawyer letters, and case outsourcing for financial institutions; intelligently generate documents such as "Arbitration Application", "Lawyer Letter", "Lawsuit", and "Evidence List" in batches based on overdue case data and evidence files; also used when the legal management personnel of financial institutions verify and approve the arbitration cases, they can submit arbitration cases to the arbitration institution in batches with one click, and directly reach the arbitration committee through a dedicated network line and data encryption.

[0055] Arbitration side: used to provide full-process, intelligent, and batch processing for arbitration cases of arbitration institutions; the platform intelligently assigns case secretaries and arbitrators based on arbitration cases submitted by financial institutions, and intelligently generates documents such as "Notice of Prepayment of Arbitration Fees", "Notice of Acceptance", "Notice of Composition of Arbitration Tribunal", "Award", and "Certificate of Effectiveness of Award" in batches throughout the entire process. Automatic electronic signatures are configured according to the process and the documents are electronically delivered to the parties.

[0056] Lawyer side: used to provide comprehensive management for law firms to send lawyer letters and outsource cases.

[0057] Execution end: used to provide case execution auxiliary management for the execution agency.

[0058] Party side: used to provide fast and efficient services for parties to receive electronic delivery information related to arbitration cases.

[0059] In this embodiment, the platform includes multiple clients. Data between clients is encrypted and desensitized before being transmitted over dedicated network lines, ensuring secure data transmission and storage throughout the entire process. The platform includes a platform side and client sides, with the client sides including the financial side, arbitration side, lawyer side, enforcement side, and party side.

[0060] The financial terminal is primarily for use by logged-in financial institution users. Financial institutions can initiate arbitration applications through the terminal. For example, after logging in, a financial institution user can open a request interface, where they can submit facts, evidence, and demands regarding the other party's illegal behavior. These demands may include fulfilling contractual obligations, making payments, returning property, or ceasing infringing behavior. The financial terminal automatically generates an arbitration application based on the submitted arbitration request information and submits it to the arbitration terminal with a single click. Financial institution users can also use the terminal to check the progress of accepted arbitration cases in real time.

[0061] The arbitration platform is primarily used by arbitration institution case officers, including case secretaries, case handling secretaries, arbitrators, and secretaries-general, to centrally manage cases. After logging in, case secretaries can batch-accept arbitration cases from the financial sector, overcoming the inefficiency of traditional offline case handling. The platform also intelligently matches arbitrator expertise with the nature of the case, automatically assigning cases to arbitrators for efficient case allocation. Arbitrators can intelligently generate case awards based on case information and can also adjust and modify these awards as appropriate. Arbitrators can also configure frequently used case awards as templates for the model to learn from, improving arbitration efficiency.

[0062] The lawyer side is used to provide comprehensive management for law firms to send lawyer letters and outsource cases.

[0063] The execution end is used to provide case execution auxiliary management for the execution agency.

[0064] The party side is used to receive electronic delivery information related to arbitration cases for the parties, providing fast and efficient services.

[0065] The platform side is used for unified service interface management, intelligent evidence identification and analysis, intelligent document generation, intelligent process control, basic data configuration management, data statistical analysis, etc.

[0066] This secure, intelligent, batch-processing online arbitration case management platform has the following advantages:

[0067] 1) Digital Arbitration, Technological Innovation. This platform integrates multiple advanced technologies in the fields of networking, cloud computing, OCR, and NLP, enabling case management, intelligent document generation, automatic information reporting, electronic signatures, batch processing, efficient adjudication, and electronic delivery. This ensures the secure, intelligent, efficient, standardized, convenient, and visual processing of online arbitration cases.

[0068] 2) Diversified dispute resolution and innovative connections. We provide financial institutions with multiple dispute resolution channels, connecting financial institutions, arbitration institutions, enforcement agencies, and law firms to form an integrated financial dispute resolution service platform.

[0069] 3) Cost reduction, efficiency improvement, speed and security. Financial institutions can manage cases through the financial terminal and submit them for arbitration with one click. This exponentially improves legal work efficiency, reduces legal costs, significantly reduces the generation of non-performing assets, effectively improves the financial industry environment, and forms a healthy financial ecological closed loop.

[0070] 4) Digital case handling, convenient and efficient. The platform is easy to operate, offers visual progress, real-time feedback, electronic delivery, and intelligent processing. It is highly user-friendly, meets the diverse needs of users, and significantly reduces judicial pressure.

[0071] Furthermore, in some embodiments, the financial terminal is also used to enable financial institutions to manage overdue data, evidence storage, case management, send lawyer letters, outsource cases, and manage report statistics.

[0072] In this embodiment, the financial terminal is also used by financial institutions to manage overdue data, evidence storage, case management, sending legal letters, outsourcing cases, and report statistics. For example, the financial terminal allows financial institutions to make up for overdue payments, handle follow-up procedures for overdue matters, manage electronic data, audio and video recordings, and notarized information, and conduct inquiries and follow-up on outsourced cases.

[0073] Furthermore, in some embodiments, the arbitration end is further configured to:

[0074] Obtain information on historical arbitration cases and corresponding arbitration awards;

[0075] Use historical arbitration cases and arbitration award information to train neural network models;

[0076] Extract arbitration request information from arbitration cases;

[0077] The arbitration request information is input into the neural network model to predict the arbitration award information of the arbitration case and output historical arbitration cases that are consistent with the arbitration award information.

[0078] In this embodiment, the arbitration terminal can also provide arbitration case outcome prediction and historical case review functions. The arbitration terminal reads historical arbitration cases and corresponding arbitration award information from the arbitration institution's internal database and trains a neural network model. This allows the neural network model to learn the characteristics of historical arbitration cases and the corresponding award results. Thus, when an arbitration case requiring prediction is received, the corresponding arbitration request information is first obtained and input into the neural network model. The neural network model can then output the arbitration award information that best matches the arbitration request information as the predicted result for the arbitration case. Furthermore, the neural network model can also output historical arbitration cases that are consistent with the arbitration award information. This allows the arbitrator to simultaneously query historical arbitration cases that match the predicted result while obtaining the predicted result, providing case support for the arbitrator when making the arbitration decision.

[0079] Furthermore, in some embodiments, the arbitration end is further configured to:

[0080] When receiving the award information of the arbitration case and the arbitration award information of the arbitration case is inconsistent with the original award information, adding the arbitration case award information to the revision database;

[0081] Train the neural network model using the revised database.

[0082] In this embodiment, if a party files a lawsuit regarding a specific arbitration case, the arbitration terminal can receive the arbitration judgment information. If the original arbitration judgment information and the new arbitration judgment information are inconsistent, it indicates that there are some inappropriate aspects in the arbitration process. In this case, the arbitration case and the new arbitration judgment information are used to train the neural network model, optimize the neural network model, and improve the accuracy of the neural network model's prediction results.

[0083] Furthermore, in some embodiments, the arbitration end is specifically used to:

[0084] Extracting keywords from historical arbitration cases, including dispute types and dispute keywords; the dispute keywords extraction method includes: segmenting arbitration request information in historical arbitration cases, matching the segmented phrases with a dispute database, where the dispute database includes multiple subject phrases, and defining subject phrases that are identical or similar to the segmented phrases as dispute keywords;

[0085] Arbitrators who extract arbitration award information from historical arbitration cases;

[0086] The knowledge graph is updated based on keywords and arbitrators. The knowledge graph includes multiple first-level nodes, multiple second-level nodes, and multiple third-level nodes. Second-level nodes are child nodes of first-level nodes, and third-level nodes are child nodes of second-level nodes. First-level nodes represent dispute types, second-level nodes represent keywords, and third-level nodes represent arbitrators.

[0087] Extract keywords from arbitration request information of arbitration cases;

[0088] Match the extracted keywords with the knowledge graph to obtain the second-level nodes with the largest number of matches;

[0089] Assign arbitration cases to arbitrators associated with second-level nodes.

[0090] In this embodiment, when assigning arbitrators to arbitration cases, the arbitration end first extracts keywords from historical arbitration cases. For example, dispute types include loan disputes, bill disputes, insurance disputes, and so on. When extracting dispute keywords, the arbitration end first segmented the arbitration request information, matched the segmented phrases with the dispute database, and defined the same or similar phrases as the segmented phrases as dispute keywords. For example, the dispute database includes the phrases for overdue, interest, annual fee, bill of exchange, acceptance, futures, options, claims, insurance, trust, lease, and so on. Because different parties have different terms, different terms may appear for the same behavior. Therefore, the arbitration end defines the same or similar phrases as the segmented phrases as dispute keywords, which improves the accuracy of keyword recognition in arbitration request information. The arbitration end then extracts the arbitrators from historical arbitration cases and updates the knowledge graph based on the keywords and arbitrators.

[0091] In this embodiment, the knowledge graph includes multiple first-level nodes, multiple second-level nodes, and multiple third-level nodes, such as first-level node A, first-level node B, second-level node A, second-level node B, third-level node A, and third-level node B. First-level node A, second-level node A, and third-level node A are related, and first-level node B, second-level node B, and third-level node B are related. Thus, when arbitration request information matches a second-level node, the arbitrator associated with that second-level node is output. The arbitrator then matches the keywords of the arbitration request information with the knowledge graph to obtain the second-level node with the largest number of matches. For example, if arbitration request information A matches 6 keywords in second-level node A and 20 keywords in second-level node B, the matched second-level node is second-level node B. Arbitration case A is then assigned to the arbitrator of third node B, which is associated with second-level node B.

[0092] Furthermore, in some embodiments, the arbitration end is further configured to:

[0093] Add multiple fourth-level nodes to the knowledge graph; the fourth-level nodes are used to indicate the difficulty of the case;

[0094] Calculate the sum of the difficulty of all arbitration cases handled by each arbitrator separately;

[0095] The status of the N arbitrators with the largest sum of difficulty is defined as suspended from accepting cases.

[0096] In this embodiment, the arbitration end can also count the workload of each arbitrator. For arbitrators with a heavy workload, the case acceptance can be suspended for a short period of time. This ensures that the workload of each arbitrator will not be overloaded, and ensures that the arbitration cases are handled in an orderly manner. This method adds multiple fourth-level nodes to the knowledge graph to represent the difficulty of the case. For example, the child node of the third-level node A is set to the fourth node A, and the child node of the third-level node B is set to the fourth node B. The larger the value of the fourth-level node, the greater the difficulty of the case. Finally, the arbitration end calculates the sum of the difficulty of all arbitration cases for each arbitrator, and suspends the assignment of cases to the N arbitrators with the largest sum of difficulty, thereby achieving a reasonable distribution of cases.

[0097] Furthermore, in some embodiments, the arbitration end is further configured to:

[0098] Track and record the entire arbitration process;

[0099] Generate a hash value based on all evidence documents in the arbitration case;

[0100] Complete electronic signatures for arbitration cases.

[0101] In this embodiment, the arbitration terminal also allows arbitration institution staff to confirm payment information, enter arbitrators for arbitration cases, and perform functions such as qualification review, process approval, and batch case processing for each staff member. The arbitration terminal also tracks and records the entire arbitration process, allows staff members to electronically sign, and generates and stores hash values based on evidence files, ensuring the security and effectiveness of evidence and the fair, equitable, and efficient handling of cases.

[0102] Furthermore, in some embodiments, the law firm terminal is also used to provide outsourced case management, electronic signature management, CA signature certificate management, and document reception for the law firm;

[0103] The attorney terminal is also used for:

[0104] Automatically generate electronic attorney's letters based on the lawyer's input.

[0105] In this embodiment, the attorney's terminal is used by lawyers to manage outsourced cases, electronic signatures, and CA certificates. After logging in, lawyers can open an electronic attorney's letter template and enter the specified content. The attorney's terminal will then automatically generate an electronic attorney's letter based on the content. Lawyers can also receive relevant information about arbitration cases through the attorney's terminal. The attorney's terminal provides lawyers with efficient and effective services, such as fulfilling their legal obligation to provide notice to clients, recovering financial debts owed to financial institutions, and facilitating out-of-court mediation and settlement agreements between disputing parties.

[0106] Furthermore, in some embodiments, the execution end is specifically used to provide the execution agency with pre-execution supervision management, execution case acceptance, information backfilling, execution case division, and case handling process management.

[0107] In this embodiment, the execution terminal allows execution agencies to log in and centrally manage execution cases, including pre-execution supervision, batch case acceptance, intelligent information backfilling, intelligent automatic case assignment, execution case handling process management, and network query and control. The execution terminal effectively improves the efficiency of the execution agency.

[0108] Furthermore, in some embodiments, the party end is also used to:

[0109] Receipt of electronic service documents, selection of arbitrators, arbitration defense, and filing of counterclaims.

[0110] In this embodiment, the party end is for the parties to use after logging in, and mainly provides the parties with functions such as mobile phone text messages, emails, WeChat applets, counter-request applications, and electronic delivery to ensure that the case is delivered quickly, fairly, equitably, and effectively, thereby enhancing user trust.

[0111] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

Claims

1. A secure and intelligent batch processing online arbitration case management platform, characterized by: Including the platform and multiple clients, the data between the clients is encrypted and transmitted through a dedicated network line; Platform side: used to provide unified service interface management, intelligent evidence identification and analysis, intelligent document generation, intelligent process control, basic data configuration management, and data statistical analysis; The client includes: Financial Terminal: This terminal is used to provide intelligent management for arbitration cases, legal letters, and case outsourcing for financial institutions. It also intelligently generates documents in batches based on overdue case data and evidence files. It is also used to submit arbitration cases to arbitration institutions in batches with one click after the legal management personnel of the financial institution have verified and approved the cases. Financial institutions can initiate arbitration applications and submit arbitration requests through the financial terminal. The financial terminal automatically generates arbitration applications based on the submitted arbitration request information and submits them to the arbitration terminal with one click. Arbitration side: used to provide full-process, intelligent, and batch processing for arbitration cases of arbitration institutions. The platform intelligently assigns case secretaries and arbitrators based on arbitration cases submitted by financial institutions, intelligently generates documents in batches throughout the entire process, and automatically configures electronic signatures based on the process, and electronically delivers them to the parties. Lawyer side: used to send lawyer letters and provide comprehensive management for outsourcing cases for law firms; Execution side: used to provide case execution auxiliary management for the execution agency; Party side: used for receiving electronic service information related to arbitration cases for the parties; The arbitration end is specifically used for: Extracting keywords from historical arbitration cases, the keywords including dispute types and dispute keywords; wherein the method for extracting dispute keywords comprises: segmenting arbitration request information in the historical arbitration cases, matching phrases obtained by the segmentation with a dispute database, the dispute database including multiple subject phrases, and defining subject phrases that are identical or similar to the phrases obtained by the segmentation as dispute keywords; Arbitrators who extract arbitration award information from historical arbitration cases; updating a knowledge graph based on the keywords and arbitrators; the knowledge graph includes a plurality of first-level nodes, a plurality of second-level nodes, and a plurality of third-level nodes; wherein the second-level nodes are child nodes of the first-level nodes, and the third-level nodes are child nodes of the second-level nodes; the first-level nodes are used to represent dispute types, the second-level nodes are used to represent keywords, and the third-level nodes are used to represent arbitrators; Adding multiple fourth-level nodes to the knowledge graph; the fourth-level nodes are used to represent the difficulty of the case; Calculate the sum of the difficulty of all arbitration cases handled by each arbitrator and calculate the workload of each arbitrator; The N arbitrators with the largest sum of difficulty levels are defined as suspended from accepting cases. Arbitrators with heavy workloads may be suspended from accepting cases for a short period of time. Extract keywords from arbitration request information of arbitration cases; Match the extracted keywords with the knowledge graph to obtain the second-level nodes with the largest number of matches; The arbitration case is assigned to an arbitrator associated with the second-level node.

2. The secure and intelligent batch processing online arbitration case management platform according to claim 1 is characterized by: The financial terminal is also used for: providing financial institutions with overdue data management, evidence management, case management, and report statistics management.

3. The secure and intelligent batch processing online arbitration case management platform according to claim 1 is characterized by: The arbitration end is also used for: Obtain information on historical arbitration cases and corresponding arbitration awards; Training a neural network model using the historical arbitration cases and arbitration award information; Extract arbitration request information from arbitration cases; The arbitration request information is input into a neural network model to predict the arbitration award information of the arbitration case, and output historical arbitration cases that are consistent with the arbitration award information.

4. The secure and intelligent batch processing online arbitration case management platform according to claim 3 is characterized by: The arbitration terminal is also used for: When receiving award information for an arbitration case and the arbitration award information of the arbitration case is inconsistent with the original award information, adding the arbitration case award information to the revision database; The neural network model is trained using the revised database.

5. The secure and intelligent batch processing online arbitration case management platform according to claim 1 is characterized by: The arbitration terminal is also used for: Track and record the entire arbitration process; Generate a hash value based on all evidence documents in the arbitration case; Complete the electronic signature of the arbitration case.

6. The secure and intelligent batch processing online arbitration case management platform according to claim 1 is characterized by: The law firm side is also used to provide electronic signature management, CA signature certificate management, and document receiving services for law firms.

7. The secure and intelligent batch processing online arbitration case management platform according to claim 1 is characterized by: The execution end is specifically used to provide the execution agency with pre-execution supervision management, execution case acceptance, information backfilling, execution case division, and case handling process management.

8. The secure and intelligent batch processing online arbitration case management platform according to claim 1 is characterized by: The party end is also used to provide the parties with arbitrator selection, arbitration defense, and counterclaim application.

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