Adaptive Multi-Layer Electronic Documents for Legal Accessibility
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Solution Overview
Problem
Existing natural language processing systems struggle with managing complex transactional documents that require adaptive layering based on user expertise and interaction events, especially in handling diverse languages and legal terminology.
Innovation Solution
A system utilizing large language models (LLMs) for adaptive multi-layer electronic content management, which organizes documents into layers of varying complexity and displays appropriate layers based on user expertise and interaction events, generating summaries and additional documents as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If documents are presented in full legal detail, then completeness and accuracy are improved, but user understanding and accessibility deteriorate
Solution Approach 1:
The patent segments legal documents into multiple layers of detail: a simplified summary layer for general understanding and a detailed legal layer for complete information. Users can navigate between layers based on their expertise level, allowing the system to maintain document completeness while improving accessibility through selective presentation of information.
Solution Approach 2:
The patent applies local quality by providing different levels of information density in different sections of the document interface. Summary portions use simplified language for accessibility, while detailed legal portions maintain full terminology and precision. This allows simultaneous optimization of both understanding and completeness in different regions of the same document presentation.
2Ease of operation
If documents are simplified for lay persons, then accessibility and understanding are improved, but legal precision and completeness deteriorate
Solution Approach 1:
The patent implements dynamic adaptability by detecting user expertise level through interaction events and automatically adjusting the document presentation between simplified and detailed versions. The system can dynamically switch between summary mode for lay persons and full legal mode for experts, ensuring appropriate precision is delivered to each user type without manual configuration.
Solution Approach 2:
The patent introduces an intermediary layer (summary/generated content) that bridges the gap between complex legal text and user understanding. This intermediary layer translates legal terminology into plain language while maintaining accuracy, allowing users to comprehend documents without losing legal precision. The intermediary can be expanded upon request to reveal full legal details.
3Adaptability or versatility
If multiple document versions are maintained, then adaptability to user needs is improved, but system complexity increases
Solution Approach 1:
The patent implements a nested document structure where summary versions are embedded within the framework of full legal documents. The summary layer contains references to and can expand into detailed legal portions, creating a nested hierarchy that allows the system to present simplified views without maintaining completely separate document versions. This reduces system complexity while preserving adaptability.
Solution Approach 2:
The patent performs preliminary generation of summary versions and key information extractions before user interaction. By pre-processing documents to create simplified layers and identify important sections, the system reduces the computational complexity required during actual user interactions. The heavy lifting of document analysis is done in advance, allowing quick adaptation to different user expertise levels.
4Reliability
If extensive review periods are required, then document accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary analysis and accuracy verification of documents before they are presented to users. Machine learning models pre-process documents to identify key terms, extract essential information, and validate accuracy. This preliminary action ensures document reliability is established upfront, eliminating the need for extended review periods during user interaction while maintaining high accuracy standards.
Data Source
AI summary
Adaptive multi-layer electronic content management is provided. A system includes a processor coupled to a memory that that includes instructions that, when executed by the processor, cause the processor to receive an electronic document. The processor can determine an interaction event for at least one section of the electronic document. The processor can also determine an expertise level of a user of the electronic document based on the interaction event. The processor can assign a rule to the at least one section based on the interaction event and the expertise level of the user and implement an action to the at least one section of the electronic document based on a determination that the interaction event has occurred and the rule.