LLMs can extract structured regulatory rules from legal documents through iterative self-evaluation and repair, achieving 84% preference over prior methods in downstream compliance tasks without human annotation.
De Jure automatically extracts legally binding rules from regulatory documents using LLMs and iterative self-refinement. It converts dense legal text into machine-readable rules through document normalization, semantic decomposition, multi-criteria evaluation, and repair cycles—without requiring human annotation or domain expertise.