Document Reference Identification Using Signature-Based Verification
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Solution Overview
Problem
The process of identifying and verifying the availability of referenced documents within a collection of documents is currently manual, leading to missing documents and delays, particularly in mergers and acquisitions (M&A) transactions.
Innovation Solution
A method involving automated document analysis to generate unique document signatures using file name attributes, titles, and identifiers, and apply linguistic filtering to identify referenced documents, followed by comparison with a set of document signatures to determine availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual process is used to analyze documents for references and search for referenced documents, then human judgment can identify context, but the process results in missing documents, unusable data, and delays
Solution Approach 1:
The patent replaces the manual mechanical process of document analysis with an automated computational system that uses natural language processing, machine learning models, and algorithmic signature generation to identify referenced documents and verify their availability, thereby eliminating human labor while maintaining or improving accuracy
Solution Approach 2:
The patent creates digital signatures (copies) of document characteristics such as file names, titles, identifiers, and content features, which serve as surrogate representations that can be rapidly compared and matched without requiring direct examination of the full documents, thus accelerating the verification process
2Productivity
If automated document analysis is implemented to identify referenced documents, then processing speed and accuracy improve, but system complexity increases
Solution Approach 1:
The patent divides the complex task of document verification into distinct modular components: signature generation module, reference extraction module, comparison module, and verification module. Each component performs a specific function and can be independently developed, tested, and maintained, reducing overall system complexity while enabling high-speed automated processing
3Measurement precision
If comprehensive document signatures are generated using multiple attributes, then identification accuracy improves, but computational requirements and processing time increase
Solution Approach 1:
The patent performs preliminary extraction and storage of key document attributes (file names, titles, identifiers, and other distinguishing features) during the signature generation phase, creating a condensed representation that captures essential identification information. This preliminary action enables rapid comparison later without requiring re-examination of full document contents, thus reducing computational overhead during the verification stage
Data Source
AI summary
The present disclosure provides systems and methods for automated analysis of documents within a collection of documents to identify referenced documents, and for verifying whether the referenced documents are contained within the collection. Broadly, the systems and methods disclosed herein are able to identify documents within a collection of documents, to identify referenced documents referred to within a given document, and to determine whether the referenced document(s) is/are contained within the collection of documents or are otherwise available.