Overview
Our client paralegal team spent an estimated 4,200 hours per year manually reviewing, classifying, and routing incoming legal documents. BlockLabz designed and built an AI-powered pipeline that reduced that to a 90-second automated process.
The Challenge
Legal documents vary enormously in structure, language, and intent. The pipeline needed to handle contracts, NDAs, court filings, and correspondence — each with different extraction requirements — while maintaining a full audit trail for compliance.
What We Built
- Ingestion layer: Multi-format document intake (PDF, DOCX, scanned images with OCR)
- Classification engine: Fine-tuned LLM classifier with 97.4% accuracy across 18 document categories
- Extraction module: Structured data extraction (parties, dates, obligations, risk clauses)
- Routing workflow: Automated assignment to correct team queues with priority scoring
- Dashboard: Real-time pipeline monitoring, exception handling, and audit log UI
Results
Processing time dropped from 45 minutes to under 90 seconds per document. The system now handles 300+ documents per day autonomously, with paralegal review only on flagged exceptions.
