The challenge
A mid-size law firm with 30 attorneys was drowning in document review. Paralegals spent 200+ hours per month manually extracting key clauses, dates, and parties from contracts, court filings, and discovery documents. Error rates were climbing, deadlines were being missed, and the firm was turning away cases because they didn't have the capacity to process the paperwork.
What we built
We built an AI-powered document processing system that extracts, classifies, and summarizes legal documents with near-human accuracy.
- 01
Document Ingestion & OCR Pipeline
Built a Python pipeline that accepts PDFs, scanned images, and Word docs. Tesseract OCR handles scanned documents, while direct text extraction processes digital files. Every document is normalized into a consistent format for AI processing.
- 02
AI Extraction with Claude API
Leveraged Claude API for intelligent extraction of key entities — party names, dates, obligations, termination clauses, and red flags. Claude's long context window handles 100+ page contracts in a single pass, with structured JSON output for database storage.
- 03
Classification & Priority Scoring
Documents are automatically classified by type (contract, filing, correspondence, discovery) and assigned priority scores based on deadline proximity and client importance. Urgent items trigger immediate Slack alerts to the assigned attorney.
- 04
Searchable Database in Supabase
All extracted data feeds into a Supabase database with full-text search and vector similarity. Attorneys can search across thousands of documents by clause type, party name, or legal concept — finding precedents in seconds instead of hours.
Built with
Delivered in 7 weeks
Claude API
Document analysis & entity extraction
Python
OCR pipeline & data processing
Tesseract
Optical character recognition
Supabase
Document database & vector search
N8N
Workflow orchestration & alerts
Slack
Priority notifications
The outcome
The firm reclaimed over 200 paralegal hours per month. Document processing that took 45 minutes now takes 30 seconds with 96% accuracy. The firm tripled its case capacity without hiring, and attorneys now find relevant precedents in seconds instead of days.
- Saved Monthly
- 200+hrs
- Extraction Accuracy
- 96%
- Per Document
- 30sec
- Case Capacity
- 3x
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