DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods
The study introduced DECODEM benchmarks to test if large language models can automatically extract corporate governance variables from legal documents like charters and bylaws. Results show current models achieve high accuracy for many provisions, but performance varies significantly between document types and specific variables. More complex extraction strategies help efficiency-focused models perform better.