Logical Document Generation for Dynamic Contract Evaluation
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Solution Overview
Problem
Conventional systems are inefficient and prone to human error when evaluating the current or historical status of terms in complex document families, such as contracts and agreements, due to manual review processes and lack of dynamic updating capabilities.
Innovation Solution
A method and system for generating logical documents that automatically and dynamically adapt to changes in document families by integrating logical documents into the evaluation system, allowing real-time updates and providing a user interface for viewing current and historical term status, using a document processing component that assigns and updates document values based on the scope of child documents relative to a master document.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review processes are used to evaluate document terms, then human judgment and flexibility are applied, but the process becomes labor intensive, time-consuming, and inefficient
Solution Approach 1:
The system enables self-service by automatically generating logical documents and updating term status without requiring manual review. The document processing component autonomously parses documents, identifies term relationships, and maintains the logical document structure, eliminating the need for human reviewers to manually evaluate each document term while preserving accuracy through systematic automated analysis
Solution Approach 2:
The patent replaces the mechanical manual review process with an automated computer-based system. The document processing component uses computational algorithms to parse documents, identify term relationships, and update logical document structures, substituting human manual evaluation with automated mechanical processing that maintains reliability while dramatically improving productivity
2Quantity of substance
If multiple reviewers are employed to evaluate large numbers of documents, then comprehensive coverage is achieved, but inconsistencies and inaccuracies increase
Solution Approach 1:
The system implements a universal evaluation approach where a single automated document processing component performs the same evaluation functions across all documents in the family. This multi-functional component consistently applies the same parsing, term identification, and relationship mapping logic to every document, ensuring uniform evaluation standards and eliminating inconsistencies that arise from multiple human reviewers applying different judgment criteria
Solution Approach 2:
The patent changes the operational parameters from human judgment variables to fixed computational algorithms. The document processing component uses consistent algorithmic parameters for term identification, relationship detection, and logical document generation across all documents, eliminating the variability and inconsistency inherent in multiple human reviewers while maintaining comprehensive document coverage
3Adaptability or versatility
If conventional evaluation systems process documents across multiple document families, then comprehensive evaluation is possible, but the process becomes labor intensive and time-consuming
Solution Approach 1:
The system segments the evaluation process into distinct automated components: document parsing, term identification, relationship mapping, and logical document generation. The document processing component handles each segment systematically, enabling comprehensive processing of multiple document families by breaking down the complex evaluation task into manageable automated steps that can be executed efficiently without manual intervention
Solution Approach 2:
The patent implements preliminary action by pre-processing documents to identify and extract term information before the actual evaluation occurs. The document processing component performs initial parsing and term identification in advance, organizing data structures that facilitate rapid subsequent evaluation across multiple document families, thereby reducing the time required for comprehensive evaluation while maintaining adaptability
Data Source
AI summary
Systems and methods for generating logical documents for a document evaluation system are provided. For example, a method for generating logical documents for a document evaluation system includes receiving a first child document associated with a master document. The master document includes one or more master terms. The first child document includes one or more first child terms and a first date. The method further includes generating a logical document based at least in part on the master document. The logical document includes one or more current document values. Each current document value corresponds to one master term and is associated with a current date and a current reference. The current reference identifies a region in the master document related to the one master term. The method further includes selecting a first child term from the one or more first child terms.