AI Document Processing Agent

A legal services firm was processing hundreds of contracts, invoices, and compliance documents every week — manually extracting key clauses, dates, and parties. This was slow, error-prone, and expensive.

The Solution

I built an AI agent using LangChain and GPT-4 that ingests documents in any format (PDF, DOCX, scanned images via OCR) and automatically:

• Classifies the document type (contract, invoice, NDA, compliance form)
• Extracts structured fields — parties, dates, amounts, clauses, signatures
• Flags unusual or high-risk clauses for human review
• Generates a plain-English summary with confidence scores

Technical Architecture

The agent uses a ReAct reasoning loop — it can call multiple tools (OCR, regex extractors, vector search) before producing a final structured output. LangChain manages the chain-of-thought, and results are stored in a structured database with a simple review UI.

Results

Processing time per document dropped from 15–20 minutes to under 30 seconds. Accuracy on standard contracts exceeds 94%. The firm now processes 3x the volume with the same headcount.