Phrase Discovery Engine for Legal Contract Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Legal professionals face challenges in analyzing and negotiating transactional documents like legal contracts, as they lack indicators for precedential value and reliability, making it difficult to assess risks and secure optimal terms.
Innovation Solution
A phrase discovery engine that automatically processes documents to identify and group phrases and clauses, providing tools for referencing industry standards, obtaining alternative language, and managing negotiation leverage, while integrating with platforms like Westlaw for benchmarking against market standards and judicial interpretations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If legal professionals manually analyze transactional documents to assess precedential value and reliability, then they can identify clause reliability and negotiate better terms, but the process is time-consuming and lacks systematic benchmarking against market standards
Solution Approach 1:
The patent replaces manual mechanical analysis of legal documents with an automated computer-based system that uses natural language processing and machine learning algorithms to extract, analyze, and benchmark clauses against market standards, thereby eliminating time-consuming manual review while maintaining or improving assessment accuracy
Solution Approach 2:
The system creates digital copies and representations of legal clauses from transactional documents, storing them in a structured format that can be efficiently compared against benchmark databases of market standards and precedential cases, enabling rapid automated analysis without repeatedly examining original documents
2Adaptability or versatility
If legal professionals review multiple contract documents to identify industry standard clauses and negotiation leverage, then they can improve negotiation outcomes, but the complexity of analyzing multiple documents increases
Solution Approach 1:
The patent segments complex legal documents into discrete, analyzable units such as individual clauses, definitions, and key phrases. This segmentation allows the system to process and analyze specific contractual elements independently, making the overall analysis manageable and systematic rather than overwhelming
Solution Approach 2:
The system performs multiple functions within a unified platform: extracting clauses from documents, comparing them against benchmark databases, identifying industry standards, assessing precedential value, and providing negotiation recommendations. This multi-functionality consolidates what would otherwise require multiple separate analysis tools into a single versatile system
Data Source
AI summary
Exemplary systems for processing a corpus of documents, such as legal contracts or agreements, are disclosed. The systems include a phrase discovery engine which derives statistics and phrase equivalence classes, groups of phrase equivalence classes, and uberphrases (clauses) bounded by phrases. These can be used to determine origins of phrases or clauses within given legal contract or to suggest alternative phrases and clauses.