Using large language models for structured information extraction from the Innocence Project New Orleans' wrongful conviction case files. Exoneration documents, secured during legal proceedings that aim to right the wrongs of justice, are invaluable for understanding wrongful convictions. They cast a spotlight on law enforcement actions, revealing systemic challenges. Yet, finding and leveraging usable information within these collections remains a formidable task for researchers and advocates, due to their volume and unstructured heterogeneity. This post introduces the methodology of the Innocence Discovery Lab, a collaboration between Innoce...