Agreement Document Models for Faster Queries and Direct Validation
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Solution Overview
Problem
Electronic agreement documents face challenges in processing efficiency due to unstructured data, memory wastage from redundant content, and inefficient validation and editing processes.
Innovation Solution
A document management system utilizing structured document models for querying, validating, and customizing electronic agreement documents, enabling efficient searching, direct data access for validation, and memory-efficient storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If unstructured data is used to store agreement document content, then flexibility in document format is maintained, but processing resources are excessively consumed when querying documents
Solution Approach 1:
The patent segments agreement documents into structured components with defined fields (e.g., party names, dates, obligations) that can be independently queried. This segmentation allows the system to search only relevant fields rather than scanning entire unstructured documents, significantly reducing processing resources while maintaining query flexibility.
Solution Approach 2:
The patent transforms document content from unstructured text into structured data with specific parameters and data types. By changing the organizational parameter from free-text to structured fields with defined schemas, the system enables efficient querying without sacrificing document flexibility.
2Reliability
If unstructured data format is used for agreement documents, then document creation flexibility is preserved, but validation of information becomes complex and time-consuming
Solution Approach 1:
The patent implements preliminary validation rules and constraints defined in the structured document schemas. Validation checks are performed automatically as documents are created or modified, rather than requiring separate manual validation steps. This preliminary action ensures data reliability while minimizing validation time.
Solution Approach 2:
The structured document format enables self-validating documents where the schema definitions automatically enforce data types, required fields, and format constraints. The system validates information inherently through its structure rather than requiring external validation processes.
3Ease of operation
If unstructured data is used in agreement documents, then document format flexibility is maintained, but editing specific information becomes challenging and time-consuming
Solution Approach 1:
By segmenting documents into distinct structured fields (e.g., separate fields for start date, end date, parties, obligations), users can directly edit specific fields without searching through entire documents. This segmentation makes editing operations intuitive and time-efficient while preserving document flexibility.
Solution Approach 2:
The structured document model provides universal editing capabilities across different document types through consistent field definitions. The same editing interface and methods work for various agreement types, making the editing process universally easy regardless of document complexity.
4Reliability
If redundant standard language is stored in each electronic agreement document, then document completeness is ensured, but memory resources are unnecessarily wasted
Solution Approach 1:
The patent implements a nested structure where standard language templates are stored once at a higher level and referenced by multiple documents. Documents contain references to these templates rather than duplicating the actual text, enabling complete documents to be generated while minimizing stored data quantity.
Solution Approach 2:
Instead of storing redundant copies of standard language in each document, the system creates lightweight references or pointers to the master template. When documents are generated, the system copies only the necessary portions dynamically, ensuring document completeness without wasting memory on redundant storage.
Data Source
AI summary
A document management system utilizes document models for querying, validating, and customizing electronic agreement documents. Document models can be a data structure including document attributes that represent an agreement document. Examples of document attributes include customizable data values, conditions related to the operation of the agreement document and satisfiable by certain values of the customized data values, and rendering parameters for the appearance of the electronic agreement document. The document management system enables a user to create custom document models for generating electronic agreement documents that can be queried, validated, and customized through querying, validating, and customizing the corresponding document models.