Dynamic Regulatory Object Models for Applicability Analysis
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Solution Overview
Problem
Existing systems struggle to efficiently categorize and determine the applicability of regulations across different jurisdictions due to inconsistencies in terminology, scope, and format, making it difficult for entities to ascertain relevant regulatory requirements for products.
Innovation Solution
A computer-implemented method and system that segment regulatory information into structured texts and metadata, perform linguistic analysis to detect sentences, generate summaries, and enrich object models with relevant information, ensuring consistent formatting and easy access to regulatory data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review of regulations is performed, then accuracy in determining applicability is improved, but time consumption and costs increase
Solution Approach 1:
The system enables self-service by automatically analyzing regulations and determining their applicability to products without requiring manual review. The regulation analysis engine processes regulatory texts, extracts requirements, and matches them against product data automatically, eliminating the need for human experts to manually interpret each regulation while maintaining high accuracy through structured analysis methods.
Solution Approach 2:
The patent replaces the mechanical system of manual regulatory review with an automated computational system. The regulation analysis engine uses text processing algorithms, natural language understanding, and automated matching mechanisms to substitute human analysts, thereby reducing time consumption while maintaining or improving accuracy through consistent application of analysis rules.
2Reliability
If comprehensive regulation analysis is performed, then completeness of regulatory coverage is improved, but system complexity increases
Solution Approach 1:
The system applies segmentation by breaking down the complex task of regulation analysis into distinct modular components: a regulation analysis engine that processes regulatory texts, an object model generator that creates structured representations, and a matching system that connects regulations to products. This modular architecture manages complexity while ensuring comprehensive coverage by systematically processing each aspect of regulatory compliance.
Solution Approach 2:
The patent implements universality through a standardized object model that can represent multiple types of regulations across different jurisdictions and domains. This universal framework allows the system to handle diverse regulatory requirements using the same core processing mechanisms, thereby achieving comprehensive coverage without proportionally increasing system complexity.
3Ease of operation
If standardized object models are created for regulations, then ease of access and categorization is improved, but initial processing time and computational resources increase
Solution Approach 1:
The system applies preliminary action by pre-processing regulations into standardized object models with structured schemas, extracted entities, and organized metadata before they are needed for compliance checking. This upfront investment in creating uniform, well-structured representations of regulations enables rapid querying and categorization later, significantly improving ease of access while amortizing the initial processing cost across multiple uses.
Data Source
AI summary
Systems and methods for dynamically generating object models corresponding to regulations. According to certain aspects, a server computer may access a regulation and automatically generate a summary of the regulation based on a specific set of sentences. The server computer may additionally determine a set of topics and named-entity attributes for text within a regulation object model, as well as a probability that a topic or attribute is applicable to the regulation. Further, the server computer may generate and enrich object models according to the various analyses and avail the enriched object models for review by entities and users of regulatory compliance services.