Document AI & GenAI
Automated Legal Document Intelligence: US Court Case Law PDFs to Compliant XML
Engineered a production-scale document intelligence pipeline for Thomson Reuters converting complex U.S. legal PDFs into structured XML/JAXML with zero content loss.
Client Context: Thomson Reuters (AI Engineer via Algoleap Technologies)
Format: Research Whitepaper (.PDF)
Executive Abstract
United States jurisprudence spans more than 500 federal, state, and appellate jurisdictions. Manual extraction by paralegal teams required approximately 3 hours per 40-page judgment.
This paper introduces a single-call and chunked agentic orchestration pipeline built with Claude 3.5 / 4.5 Sonnet, replacing the legacy manual process with an automated, schema-validated transformation engine delivering 20 PDF-to-XML conversions in under 5 minutes with zero content loss.