Agami / World Bank
Making Court Transcripts Searchable
How AI agents processed thousands of transcripts for legal research.
The Challenge
Agami, in partnership with the World Bank, was building a legal research platform to improve access to justice in India. The foundation: thousands of court transcripts that needed to be digitized, structured, and made searchable.
The challenge: court transcripts are messy. They contain inconsistent formatting, legal jargon, multiple speakers, and references to cases, statutes, and precedents. Manual processing would take years.
They needed a solution that could process transcripts in multiple formats (PDF, images, text), extract speaker turns and dialogue, identify case citations and legal references, and structure data for search and analysis.
The Solution
We built a document processing pipeline with specialized agents:
OCR Agent
Handles scanned documents and images. Corrects for poor scan quality. Preserves document structure.
Transcript Parser
Identifies speaker turns (Judge, Advocate, Witness). Extracts dialogue and arguments. Handles interruptions and cross-talk.
Legal Extractor
Identifies case citations. Extracts references to statutes and acts. Links to related documents.
The Results
"This corpus is enabling research that wasn't possible before. We can now study patterns across thousands of cases."