Automated Contract Attribute Validation via Multi-Level Quality Checking

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Solution Overview

Problem

Current methods for identifying and interpreting contract information, such as effective dates and party addresses, are manual, error-prone, and time-consuming, leading to inefficiencies and potential disputes.

Innovation Solution

A system and method that utilize a processing subsystem with modules for screening, data extraction, and quality checking to facilitate the identification and validation of contract attributes through a multi-level quality checking process, with user-defined quality checking levels and tags.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual search methods are used to identify contract information, then flexibility and adaptability are maintained, but time consumption and error rates increase significantly

Engineering Contradiction:

Improvetime consumptionVSAvoiderror rate

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent replaces manual mechanical search methods with an automated computer-based system that uses optical character recognition (OCR) and natural language processing to extract contract information. This substitution eliminates human errors and significantly reduces time consumption while maintaining accuracy through systematic automated validation processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-validation through multiple quality checking levels where the automated process identifies and corrects its own extraction errors. The system independently verifies extracted information against predefined rules and contract structures, reducing reliance on manual verification and improving overall reliability.

Inventive Principle:

Principle #25Self-service

2Productivity

If automated data extraction is implemented, then productivity and accuracy improve, but system complexity increases

Engineering Contradiction:

Improveprocessing efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent divides the contract analysis system into distinct modular components: OCR module for text extraction, natural language processing module for information identification, validation module for quality checking, and database module for storage. This segmentation allows each component to be optimized independently and simplifies maintenance while maintaining high processing efficiency.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system employs a multi-functional processing platform that handles various contract types and information extraction tasks through a unified architecture. The same core engine processes different contract formats using configurable parameters, reducing overall system complexity compared to having separate systems for each function.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Reliability

If multi-level quality checking is implemented, then information reliability improves, but processing time and operational complexity increase

Engineering Contradiction:

Improveinformation accuracyVSAvoidoperational simplicity

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system performs preliminary quality checks at multiple stages during the extraction process rather than conducting all validations after completion. By checking information accuracy incrementally as data is extracted, the system maintains high reliability while reducing the apparent operational complexity for users who receive progressively validated results.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The multi-level quality checking system incorporates feedback loops where extraction results are automatically validated against predefined rules and contract structures. The system provides feedback on extraction confidence levels and automatically corrects obvious errors, simplifying the user experience while maintaining high accuracy through systematic validation.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12210490B1System and method to facilitate one or more quality checks on a plurality of attributes

Publication Date: 2025.01.28 BRIGHTLEAF SOLUTIONS INC

AI summary

A system to facilitate quality checks on a plurality of attributes is disclosed. The system includes a processing subsystem including a screening module to filter at least one document from documents. The processing subsystem includes a data extraction module to extract attributes from the at least one document. The processing subsystem includes a quality checking module to highlight the attributes extracted in a user interface associated with quality checking levels. The quality checking module is to modify at least one of the attributes associated with a first level based on a first level user response. The quality checking module is to assign at least one tag and at least one colour to each of the attributes. The quality checking module is to display the attributes in the user interface associated with a second level to validate the plurality of attributes based on a second level user response.