Document Management System for Legal Review Load Reduction

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Solution Overview

Problem

Existing document management systems require significant effort and time for reviewers to classify large amounts of digital information for relevance to a lawsuit, leading to a high review load.

Innovation Solution

A document management system that acquires digital information from multiple computers or servers, allows users to select classification conditions, and analyzes document data to determine relevance, reducing the review load by filtering and classifying data based on user input and automatically processing results.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a huge amount of digital document information is collected from multiple computers and servers, then the completeness of evidence for lawsuit is improved, but the review load and time required for classification increases significantly

Engineering Contradiction:

Improvecompleteness of evidenceVSAvoidreview time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent segments the huge amount of digital document information into multiple groups using classification buttons that represent different classification conditions (e.g., document type, date range, author). This segmentation allows reviewers to systematically process information in manageable portions rather than overwhelming single-view reviews, thereby maintaining completeness while reducing review time.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary classification actions by automatically analyzing document metadata and content before presentation to the reviewer. Classification buttons are pre-configured with various classification conditions, and the system pre-organizes documents into groups based on these conditions, reducing the manual effort required during the actual review process.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If manual classification of each document is performed by reviewers, then classification accuracy is improved, but the effort and time required increases significantly

Engineering Contradiction:

Improveclassification accuracyVSAvoidreviewer effort

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The patent introduces classification buttons as an intermediary between the raw digital documents and the reviewer's final determination. These buttons represent pre-defined classification conditions that automatically filter and organize documents. The intermediary performs initial classification work based on metadata and content analysis, reducing the effort required while maintaining accuracy through reviewer verification of the pre-classified groups.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system replaces the purely mechanical manual classification process with an automated information processing system that uses algorithms to analyze document content and metadata. The classification buttons and automated grouping replace manual sorting efforts, significantly reducing reviewer effort while maintaining classification accuracy through systematic rather than ad-hoc processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If all digital information is submitted as evidence exhibit, then the completeness of legal evidence is improved, but confidential information unrelated to the lawsuit is also exposed

Engineering Contradiction:

Improvecompleteness of legal evidenceVSAvoidconfidential information exposure

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent extracts and separates potentially confidential information from the bulk of digital documents using classification buttons that allow reviewers to identify and isolate sensitive materials. By organizing documents into classified groups, the system enables selective extraction of only those documents that are both relevant to the lawsuit and appropriate for submission, preventing unrelated confidential information from being inadvertently included in evidence exhibits.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS9720912B2Document management system, document management method, and document management program

Publication Date: 2017.08.01 FRONTEO INC

AI summary

It is possible to reduce a review load of a reviewer. A document management system includes a screen display unit that displays a document group having a plurality of pieces of document data extracted from digital information to be determined for relevance to a lawsuit by a user and classification buttons allowing the user to select classification conditions for classifying the document group under predetermined conditions, a selection information reception unit that receives information relating to a classification button selected by the user among the classification button displayed by the screen display unit as selection information, and a classification instruction unit that analyzes the document group based on the selection information, classifies document data in the document group using the analysis result, and instructs the screen display unit to display the document group based on the classification result.