KR20240086916A - Method, apparatus and program for generating artificial intelligence model for litigation using legal big data - Google Patents

Abstract

A method for creating an artificial intelligence model for litigation using legal big data is disclosed.

Description

Method, device and program for creating artificial intelligence model for litigation using legal big data {METHOD, APPARATUS AND PROGRAM FOR GENERATING ARTIFICIAL INTELLIGENCE MODEL FOR LITIGATION USING LEGAL BIG DATA}

1 is a diagram illustrating a system according to an embodiment of the present invention.
Figure 2 is a hardware configuration diagram of a server according to another embodiment of the present invention.
Figure 3 is a flowchart showing the process of the lawyer work sharing service according to the disclosed embodiment.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide a general understanding of the technical field to which the present invention pertains. It is provided to fully inform the skilled person of the scope of the present invention, and the present invention is only defined by the scope of the claims.

The terminology used herein is for describing embodiments and is not intended to limit the invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other elements in addition to the mentioned elements. Like reference numerals refer to like elements throughout the specification, and “and/or” includes each and every combination of one or more of the referenced elements. Although “first”, “second”, etc. are used to describe various components, these components are of course not limited by these terms. These terms are merely used to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may also be a second component within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless clearly specifically defined.

As used in the specification, the term “unit” or “module” refers to a hardware component such as software, FPGA, or ASIC, and the “unit” or “module” performs certain roles. However, “part” or “module” is not limited to software or hardware. A “unit” or “module” may be configured to reside on an addressable storage medium and may be configured to run on one or more processors. Thus, as an example, a “part” or “module” refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, Includes procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functionality provided within components and “parts” or “modules” can be combined into smaller components and “parts” or “modules” or into additional components and “parts” or “modules”. Could be further separated.

Spatially relative terms such as “below”, “beneath”, “lower”, “above”, “upper”, etc. are used as a single term as shown in the drawing. It can be used to easily describe the correlation between a component and other components. Spatially relative terms should be understood as terms that include different directions of components during use or operation in addition to the directions shown in the drawings. For example, if a component shown in a drawing is flipped over, a component described as "below" or "beneath" another component will be placed "above" the other component. You can. Accordingly, the illustrative term “down” may include both downward and upward directions. Components can also be oriented in other directions, so spatially relative terms can be interpreted according to orientation.

In this specification, a computer refers to all types of hardware devices including at least one processor, and depending on the embodiment, it may be understood as encompassing software configurations that operate on the hardware device. For example, a computer can be understood as including, but is not limited to, a smartphone, tablet PC, desktop, laptop, and user clients and applications running on each device.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

Each step described in this specification is described as being performed by a computer, but the subject of each step is not limited thereto, and depending on the embodiment, at least part of each step may be performed in a different device.

1 is a diagram illustrating a system according to an embodiment of the present invention.

Referring to FIG. 1, a system according to an embodiment of the present invention may include a server 100, a user terminal 200, and an external server 300.

Here, the system shown in FIG. 1 is according to one embodiment, and its components are not limited to the embodiment shown in FIG. 1, and may be added, changed, or deleted as necessary.

In one embodiment, the server 100 may perform a method of creating an artificial intelligence model for litigation using legal big data.

For example, the server 100 can be connected to the user terminal 200 through the network 400, and provides a UI for using the artificial intelligence model creation method for litigation using legal big data to the user terminal 200. You can receive commands through the UI and output the analysis results.

In various embodiments, the server 100 may provide web- or application-based services. However, it is not limited to this.

Here, the user terminal 200 includes a display in at least a portion of the user terminal 200 and may include an operating system for running an application or extension program-based service provided from the server 100. For example, the user terminal 200 may be a smart phone, but is not limited to this. The user terminal 200 is a wireless communication device that guarantees portability and mobility, and may be used for navigation, personal communication (PCS), etc. System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)- 2000, all types of handheld-based wireless communication devices such as W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminals, smartpads, tablet PCs, etc. It can be included.

Also, here, the network 400 may mean a connection structure that allows information exchange between nodes, such as a plurality of terminals and servers. For example, the network 400 includes a local area network (LAN), a wide area network (WAN), the World Wide Web (WWW), a wired and wireless data communication network, a telephone network, and a wired and wireless television communication network. do.

In addition, here, the wireless data communication network includes 3G, 4G, 5G, 3GPP (3rd Generation Partnership Project), 5GPP (5th Generation Partnership Project), LTE (Long Term Evolution), WIMAX (World Interoperability for Microwave Access), and Wi-Fi (Wi-Fi). Fi), Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth network, It includes, but is not limited to, Near-Field Communication (NFC) networks, satellite broadcasting networks, analog broadcasting networks, and Digital Multimedia Broadcasting (DMB) networks.

In one embodiment, the external server 300 may be connected to the server 100 through the network 400, and may store and manage various information/data necessary for the server 100 to perform analysis. (100) can store and manage various information/data generated as it provides services.

In various embodiments, the external server 300 may be a storage server (e.g., a database server) separately provided outside the server 100, but is not limited thereto. The external server 300 is used to store various information and data. ) can be set up in a separate space within the server 100 and stored and managed in that space, rather than being separately provided outside the server 100. Hereinafter, the hardware configuration of the server 100 will be described with reference to FIG. 2.

Figure 2 is a hardware configuration diagram of a server according to another embodiment of the present invention.

Referring to FIG. 2, the server 100 according to another embodiment of the present invention includes one or more processors 110, a memory 120 that loads a computer program 151 executed by the processor 110, It may include a bus 130, a communication interface 140, and a storage 150 that stores a computer program 151. Here, only components related to the embodiment of the present invention are shown in Figure 2. Accordingly, anyone skilled in the art to which the present invention pertains will know that other general-purpose components may be included in addition to the components shown in FIG. 2.

The processor 110 controls the overall operation of each component of the server 100. The processor 110 includes a Central Processing Unit (CPU), Micro Processor Unit (MPU), Micro Controller Unit (MCU), Graphic Processing Unit (GPU), or any other type of processor well known in the art of the present invention. It can be.

Additionally, the processor 110 may perform operations on at least one application or program for executing methods according to embodiments of the present invention, and the server 100 may include one or more processors.

In various embodiments, the processor 110 includes random access memory (RAM) (not shown) and read memory (ROM) that temporarily and/or permanently store signals (or data) processed within the processor 110. -Only Memory, not shown) may be further included. Additionally, the processor 110 may be implemented in the form of a system on chip (SoC) that includes at least one of a graphics processing unit, RAM, and ROM.

Memory 120 stores various data, commands and/or information. The memory 120 may load the computer program 151 from the storage 150 to execute methods/operations according to various embodiments of the present invention. When the computer program 151 is loaded into the memory 120, the processor 110 can perform the method/operation by executing one or more instructions constituting the computer program 151. The memory 120 may be implemented as a volatile memory such as RAM, but the technical scope of the present disclosure is not limited thereto.

The bus 130 provides communication functions between components of the server 100. The bus 130 may be implemented as various types of buses, such as an address bus, a data bus, and a control bus.

The communication interface 140 supports wired and wireless Internet communication of the server 100. Additionally, the communication interface 140 may support various communication methods other than Internet communication. To this end, the communication interface 140 may be configured to include a communication module well known in the technical field of the present invention. In some embodiments, communication interface 140 may be omitted.

Storage 150 may store the computer program 151 non-temporarily. When performing a precision diagnosis module proposal process through the server 100, the storage 150 may store various information necessary to perform analysis according to the disclosed embodiment.

The storage 150 is a non-volatile memory such as Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), flash memory, a hard disk, a removable disk, or a device well known in the art to which the present invention pertains. It may be configured to include any known type of computer-readable recording medium.

The computer program 151, when loaded into the memory 120, may include one or more instructions that cause the processor 110 to perform methods/operations according to various embodiments of the present invention. That is, the processor 110 can perform the method/operation according to various embodiments of the present invention by executing the one or more instructions.

In one embodiment, the computer program 151 may include one or more instructions to perform a method of creating an artificial intelligence model for litigation using legal big data.

The steps of the method or algorithm described in connection with embodiments of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. The software module may be RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the present invention pertains.

The components of the present invention may be implemented as a program (or application) and stored in a medium in order to be executed in conjunction with a hardware computer. Components of the invention may be implemented as software programming or software elements, and similarly, embodiments may include various algorithms implemented as combinations of data structures, processes, routines or other programming constructs, such as C, C++, , may be implemented in a programming or scripting language such as Java, assembler, etc. Functional aspects may be implemented as algorithms running on one or more processors.

Below, various embodiments according to the present invention will be described.

Due to the nature of lawyer work, each office must seek a sub-agent (attorney) who will attend trials at each district court located far away, or a lawyer who will perform remote work on behalf of the attorney, such as interview agent, investigation agent, and investigation participation agent. There are many cases where it is done. In addition, there are many cases where collaboration between lawyers is necessary depending on the location, specialty, and workload, such as having to find a lawyer to perform document work on your behalf, such as a record duplication agency, a content certification agency, and a document writing agency.

However, in these cases, there is no special means to find a lawyer to perform agency work, so lawyers find a lawyer near each local court and call them to inquire, or contact a lawyer through Internet bulletin boards, SNS, messengers, etc. It is a situation that needs to be found.

Accordingly, the present invention proposes a lawyer work sharing service using a smartphone application to solve the problems of existing work methods. Through the present invention, it is possible to match lawyers who want to delegate agency work with lawyers who want to delegate agency work, and to easily negotiate costs and service transactions.

In addition, by using the service proposed according to the present invention, data required for work can be safely and conveniently shared, work performance results can be inspected and supplemented through feedback, and work that has been inspected can be provided on its own. Through Cash, we can provide a secure payment service that pays without delay or omission.

Furthermore, by using the service proposed according to the present invention, you can easily check, manage, and share the progress of work, provide timely information necessary for work, and safely store work history and related data. You can conveniently search for the information you need.

In addition, it is possible to provide a variety of convenient services necessary for business performance, such as search for litigation documents, document reading, and digital evidence authentication, so that not only agency work delegation but also overall business performance can be performed on the service proposed according to the present invention.

Through this, the present invention can collect various data generated according to service performance. Once data is collected above a certain level, various functions can be developed and services can be provided using big data analysis techniques.

Furthermore, various artificial intelligence models can be learned based on the collected data to obtain artificial intelligence models that can be used for legal services. For example, a model may be provided that suggests legal strategies, predicts success rates and expected risks, and predicts litigation costs.

Through this, the service according to the present invention can be developed into a comprehensive legal platform, and based on this, it can be expanded into various affiliate businesses and service platforms.

Figure 3 is a flowchart showing the process of the lawyer work sharing service according to the disclosed embodiment.

In step S110, a delegator who wishes to delegate a task may register an idle task. The type of idle work is not limited, and the delegator can register by entering information about the idle work he or she wishes to delegate. Depending on the embodiment, categories or detailed information about idle tasks to be delegated may be entered according to preset standards. For example, information about the type of work, detailed specialty, location, etc. may be entered. Additionally, information on application deadlines, business deadlines, business processing costs, etc. may be entered, but is not limited thereto.

In step S120, the delegate who wishes to accept the task may search for the shared task. Task search may be performed according to the delegate's keyword input or filter input, or may be performed in the form of listing and providing recommended tasks corresponding to information already registered by the delegate. In addition, information on available work hours and costs set by the delegate may also be entered in advance and used to recommend work to the delegate.

In various embodiments, a notification may be provided to the delegate when a recommended task corresponding to information already registered by the delegate is registered.

Additionally, the delegated person can apply for the job for which he or she wishes to be appointed. Support information may be delivered to the delegator in real time or together with a preset deadline.

In various embodiments, delegators and delegates can register their profile information on the platform and decide whether to make it public. Through this, the delegator and the delegator can check each other's information and use it as a reference when delegating or accepting tasks.

In step S130, the delegate may review the applicant's information and select a delegate to delegate dual tasks. During the selection process, the delegate may select multiple delegates and request consultation or bidding on the cost, and may select the final delegate based on the results.

Depending on the embodiment, the delegator may search and select a desired delegate and request delegation instead of publicly bidding on the task. In another embodiment, the delegator may publicly bid on the work and request bids from desired delegates.

In step S140, the selected delegate can decide whether to accept work sharing. Depending on the embodiment, the recipient selected through bidding may automatically complete matching without an acceptance decision step, or may review the final decision after being selected to determine final acceptance.

In various embodiments, if the selected delegate does not accept work sharing, the delegate may reselect another applicant and notify the applicant of the selection. Depending on the embodiment, the runner-up may be automatically selected based on the score determined in advance by the applicant.

In step S150, matching is completed and work information can be shared with the matched delegate. For example, specific information about work content, customer information, and various work-related materials may be delivered to the person in charge.

The transmitted information is managed safely through the server and can be managed so that only authenticated users can view it. Additionally, depending on the settings, some sensitive information may be deleted after work is completed and restricted from being viewed by the person in charge.

The data delivered to the delegate may be the data registered by the delegate when registering the task, or it may be newly registered by the delegate after successful matching. Even in the subsequent task performance process, the delegator can convey the information necessary to the delegatee to the delegatee.

During the matching process, the delegator and the delegate can discuss work conditions or share work details through a messenger provided by the service according to the disclosed embodiment.

Additionally, the delegator can pay the agreed upon business expenses. Cost payment may be performed through an escrow service provided by the service according to the disclosed embodiment, or may be performed through a cache already charged by the delegator.

The payment amount is managed by the platform and can be paid to the recipient after the work is completed.

In step S160, the delegated person may perform the delegated task. In various embodiments, necessary documents and power of attorney necessary for the delegate to perform work may be automatically generated and provided to the delegate and the delegate. A power of attorney can be written through an electronic signature on the platform, but is not limited to this.

In the process of performing work, the delegate can upload work progress at a preset time. The timing of sharing work progress may be determined at the request of the delegator, or may be determined according to a preset template depending on the type of work. Through this, the delegator can track the progress of the task in real time.

The delegate can check the progress of the task and provide feedback to guide the delegate to perform the task accordingly.

When a task is completed, the delegate can upload a completion report. Completion reports may be provided in a format for each type of work, or may be automatically generated depending on the work content. The person in charge can review the generated report, edit and supplement the necessary content, and submit the report.

In various embodiments, information and services necessary for the delegate to perform his/her duties may be provided. For example, services such as Supreme Court case search, notification provision, and deadline management may be provided, but are not limited thereto. Additionally, a cloud or local server-based business data backup service may be provided.

In addition, work support functions may be provided for delegates who perform tasks and delegates who manage them. The work support function may provide information for work schedule management (e.g., person in charge information, work progress information, work progress rate information) or provide messenger and video conference functions for work performance. Additionally, functions for electronic signatures of necessary documents such as power of attorney or electronic contracts may be provided.

Additionally, precedent search functions, document security and management functions, certificate management functions, and other security services may be provided for business performance.

In various embodiments, evidence verification functions such as document reading, digital evidence authentication, and verification of data forgery and alteration may be provided, and a service for computerizing non-computerized documents using technology such as OCR may be provided.

In step S170, the delegate may inspect the completed task. If there are no abnormalities as a result of the inspection, the delegate may approve it or request supplementation.

In step S180, cost settlement for work that has been inspected may be performed. The cost is provided to the delegate using the amount or cash previously paid by the delegate, and during this process, the platform may deduct a certain percentage of the fee and provide it to the delegate, but is not limited to this.

Delegators and delegates can check information about delegated or delegated tasks on the platform, and through this, delegates can also request new tasks from delegates who have previously delegated tasks.

Delegators and delegates can leave feedback on completed tasks after completing them. Feedback information can be made public so that other users can refer to it, or it can be recorded privately and used only for data analysis on the platform.

The profile information, work performance information, and feedback information of the delegator and delegate can be disclosed according to settings, and through this, services for recruiting and finding employment for lawyers can be provided. For example, information about lawyers who are looking for jobs or are willing to work may be disclosed, or a recommendation service may be provided based on job openings and job search information and information about each lawyer. This information may be provided to headhunters as well as recruiters and job seekers.

During this process, the platform may charge a fee for viewing information, a fee for sending a request for a job offer or a job offer, or charge a fee when a job search or job search is successful.

In various embodiments, a function to collect and analyze big data generated during work processes may be provided. In the process of performing delegated tasks, various legal data can be generated, and the platform can select the data needed for analysis, remove noise data, and perform preprocessing.

In various embodiments, the platform may convert unstructured legal data into structured data. In addition, the platform can analyze the generated legal data in real time or post-mortem to extract necessary information or process data for learning and analysis.

Collected data can be processed into various statistical data or data for learning artificial intelligence models. In this process, necessary preprocessing processes such as deletion of sensitive information and de-identification of personal information may be performed.

In various embodiments, artificial intelligence model learning may be performed using collected big data. For example, an artificial intelligence model can be trained to suggest a strategy for a legal case by learning information about the legal case and related business performance information.

As another example, an artificial intelligence model can be trained to acquire information and judgment information about legal cases and analyze the win rate or risk factors for legal cases.

As another example, an artificial intelligence model may be trained to automatically generate writing by learning written data, or to detect or verify errors in written writing.

As another example, an artificial intelligence model may be trained to predict the cost of a legal case based on information about the legal case and information about the fees paid for the case.

The artificial intelligence models created through this can be applied to platform services and used to provide comprehensive legal platform services, and services can also be provided in the form of APIs to various related organizations or companies.

Through this, the platform according to the disclosed embodiment can provide a contract or document automatic creation service or API, and can also have a profit model for selling the generated legal content.

In addition, the platform according to the disclosed embodiment can be expanded to a subscription service that provides information about generated legal content or legal cases that occur in real time.

Above, embodiments of the present invention have been described with reference to the attached drawings, but those skilled in the art will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. You will be able to understand it. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive.

Claims (3)

How to create an artificial intelligence model for litigation using legal big data. A memory that stores one or more instructions; and
A processor executing the one or more instructions stored in the memory,
The processor executes the one or more instructions,
An apparatus for performing the method of claim 1. A computer program combined with a computer as hardware and stored on a computer-readable recording medium so as to perform the method of claim 1.