De Jure: Iterative LLM Self-Refinement for Structured Extraction of Regulatory Rules

This research presents "De Jure," a system for iterative large language model (LLM) self-refinement aimed at structured extraction of regulatory rules. It addresses the critical need for accurate and automated interpretation of complex legal and compliance documents, with significant potential for applications in legal tech and regulatory compliance.