MCP for Legal AI Agents

Why legal tech integration is hard for AI

Discovery review agents and automated redlining tools need dynamic access to vast databases, from PACER citations to internal Notion clause libraries. Hardcoding every tool integration restricts scale and fragments authentication contexts. With the Model Context Protocol, developers can supply agents with on-demand tools securely wrapped behind an encrypted proxy.

How to expose Legal APIs to MCP

# Example: A legal citation lookup agent via wmcp.sh
import anthropic
import httpx

client = anthropic.Anthropic(api_key="your-api-key")
# Provide a Notion library and PACER integration dynamically
response = httpx.get(
    "https://wmcp.sh/api/v1/tools?url=https://api.notion.com/v1/openapi.yaml",
    headers={"Authorization": "Bearer YOUR_ENCRYPTED_CREDENTIALS"}
)
legal_tools = response.json()

completion = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    tools=legal_tools,
    messages=[{"role": "user", "content": "Lookup standard indemnification clauses in the Notion CRM."}]
)
print(completion.content)

Legal Agent Integration Checklist

Common questions.