Legal Document Pruning for Transaction Compliance
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Solution Overview
Problem
Determining which legal documents to present to a user during an online transaction is challenging due to various factors such as the parties involved, their locations, transaction types, and previous document acceptances, necessitating an efficient method to identify and prune relevant documents for user acceptance.
Innovation Solution
A system and method that receive transaction information to identify hierarchical legal documents pertinent to the transaction, prune them based on user previous acceptances, and output the pruned set for user acceptance, utilizing a legal verification system with a documents database, acceptance database, communications module, documents module, verification module, and update module to determine and present the appropriate documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all hierarchical legal documents pertinent to a transaction are presented to the user, then completeness and compliance are ensured, but the complexity and user burden increase significantly
Solution Approach 1:
The patent extracts and removes documents that have already been accepted by the user from the set of documents to be presented. The verification module compares the hierarchical set of pertinent documents against the user's acceptance history, identifying and excluding previously accepted documents from the current presentation set, thereby reducing complexity while maintaining compliance.
Solution Approach 2:
The system performs preliminary identification of the complete hierarchical set of legal documents required for the transaction before presenting them to the user. By pre-determining which documents are pertinent and organizing them hierarchically, the system prepares the optimal set of documents to present, avoiding the need to display all possible documents.
2Measurement precision
If the system considers multiple factors (parties, locations, transaction types, previous acceptances) to determine relevant documents, then accuracy of document selection improves, but the computational complexity and processing time increase
Solution Approach 1:
The patent segments the document determination process into distinct functional modules: a documents module that identifies pertinent documents based on transaction factors, and a verification module that prunes the set based on user acceptance history. This segmentation allows each module to handle specific aspects of the complex determination process independently, improving accuracy while managing system complexity.
Solution Approach 2:
The verification module acts as an intermediary between the documents module and the user interface. It receives the hierarchical set of pertinent documents, compares them against the user's acceptance database, and outputs the pruned set for presentation. This intermediary layer simplifies the overall system architecture by centralizing the pruning logic.
3Productivity
If the system presents a pruned set of documents based on user history, then user experience and transaction speed improve, but the risk of presenting incomplete documents increases
Solution Approach 1:
The system performs preliminary identification of the complete hierarchical set of legal documents required for the transaction before any pruning occurs. By first determining all pertinent documents based on transaction factors and then systematically removing only those previously accepted by the user, the system ensures that the pruned set remains complete and compliant while improving transaction speed.
4Measurement precision
If the system stores and processes comprehensive user acceptance data, then the ability to prune documents accurately improves, but data storage and processing requirements increase
Solution Approach 1:
The verification module extracts only the necessary information from the user's acceptance history - specifically, which documents have been previously accepted - and uses this extracted data to prune the current set of pertinent documents. This approach utilizes user acceptance data efficiently without requiring storage or processing of unnecessary information.
Data Source
AI summary
Information describing a transaction is received and a set of hierarchical documents pertinent to the transaction are identified based at least in part on the received information. The set of hierarchical documents is pruned responsive to data describing documents that a user involved in the transaction has previously accepted. Information describing the pruned set of hierarchical documents is output for presenting the pruned set of hierarchical documents to the user involved in the transaction for acceptance as part of the transaction.