Legal tech is one of the fastest-growing software verticals, but developers building for law firms and legal departments face a unique challenge: most legal data lives in documents, not databases. Contracts, court filings, compliance memos — it's all PDFs and Word docs.
Claude Code with the Document OCR MCP bridges that gap.
The Challenge
Legal tech developers constantly deal with:
- Unstructured documents — contracts, briefs, and filings arrive as PDFs, scanned images, and Word files with no consistent structure
- Extraction complexity — pulling specific clauses, dates, party names, and obligations from legal documents requires sophisticated parsing
- Version tracking — legal teams need to compare document versions and track changes across contract negotiations
- Compliance mapping — matching contract terms to regulatory requirements across jurisdictions
Document OCR MCP: Turning Documents Into Data
The Document OCR MCP gives Claude Code the ability to extract text and structure from PDFs, images, and scanned documents — turning unstructured legal files into actionable data.
{
"mcpServers": {
"document-ocr": {
"command": "npx",
"args": ["-y", "@anthropic-community/mcp-document-ocr"],
"env": {
"OCR_ENGINE": "tesseract",
"OUTPUT_FORMAT": "structured"
}
}
}
}Available Tools
- extract_text — pull raw text from PDFs, images (PNG/JPG/TIFF), and Word documents
- extract_tables — identify and extract tabular data from documents
- extract_metadata — get document metadata (author, creation date, page count)
- detect_layout — analyze document structure (headings, paragraphs, lists, signatures)
- batch_process — process multiple documents in a directory
Workflow: Building a Contract Review Pipeline
Here's a real workflow combining the Document OCR MCP with other tools:
1. Document OCR MCP — extract text from uploaded contracts. Claude identifies the document structure and pulls out key sections: parties, effective dates, termination clauses, indemnification terms, and payment schedules.
2. Filesystem MCP — read contracts from a local directory structure organized by client/matter. Claude can process an entire folder of contracts and generate a summary spreadsheet.
3. Memory MCP — store extracted clause patterns and definitions that Claude can reference across sessions. Build up a knowledge base of your firm's common contract terms.
4. Notion MCP — push contract summaries and key dates directly into your Notion workspace for the legal team to review.
The result: a contract review workflow that turns a 2-hour manual review into a 10-minute spot-check.
Building a Clause Library
One powerful pattern is using Claude Code to build a clause library from your existing contracts:
1. Point the Document OCR MCP at your contracts directory 2. Ask Claude to extract and categorize every clause by type (indemnification, limitation of liability, confidentiality, etc.) 3. Store the results in a structured format for your legal team 4. Generate comparison reports showing how clauses vary across contracts
More Resources on claudemcp.io
- Document OCR MCP — extract text and structure from legal documents
- Filesystem MCP — read and write files securely from Claude Code
- Notion MCP — push data to Notion workspaces
- Memory MCP — persistent context across Claude Code sessions
Get Started
Browse all resources at claudemcp.io/browse or read the setup guide.