Document Risk Evaluation and Grouping for Multi-File Review
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Solution Overview
Problem
Existing document creation support systems struggle to effectively visualize information related to multiple documents managed by a user, making it difficult to check and manage risks associated with them.
Innovation Solution
An information processing apparatus and method that evaluates documents, extracts risk elements, and outputs information related to a group of documents based on risk levels, allowing for easy visualization and management of document sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If document creation support systems store and retrieve know-how and answer examples for each document point, then document quality improves, but information management complexity increases
Solution Approach 1:
The system segments documents into multiple evaluation targets (risk elements) and evaluates each independently. This allows granular control over document quality assessment while managing information complexity through structured segmentation of evaluation criteria.
Solution Approach 2:
The system adds a new dimension of evaluation by introducing risk levels and grouping documents based on evaluated risk. This transforms the management approach from storing individual know-how instances to organizing documents in multi-dimensional groups, simplifying information retrieval and management.
2Measurement precision
If the system evaluates multiple documents and extracts risk elements, then risk identification accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary evaluation of multiple documents to extract risk elements and determine risk levels before final document processing. This preliminary action enables efficient grouping and prioritization, reducing overall processing time while maintaining high risk identification accuracy.
Solution Approach 2:
The system creates simplified representations of documents through risk element extraction and grouping. Instead of processing complete documents individually, it works with extracted risk features and grouped representations, significantly reducing processing time while preserving essential risk information.
Data Source
AI summary
An information processing apparatus comprises one or more processors 41, the one or more processors 41 being configured to perform processing for: evaluating at least one evaluation target contained in each of a plurality of documents; extracting a group of documents including at least one document, from among the plurality of documents, based on the evaluation; and outputting information related to the extracted group of documents. Such configuration allows for information related to the plurality of documents to be checked easily.