Legal Document Analysis with Entity Extraction

Extract entities from legal documents, contracts, and court filings. Identify parties, dates, and key terms automatically.

The Problem

Legal professionals spend hours manually reviewing documents to identify parties, dates, locations, and key terms. This manual process is slow, expensive, and prone to human error.

The Solution

Automatically extract parties, dates, locations, and organizations from contracts, court filings, and legal documents. Accelerate due diligence, contract review, and legal research.

Key Benefits

Identify all parties mentioned in contracts
Extract dates, deadlines, and temporal terms
Find location and jurisdiction references
Detect organization and company mentions
Accelerate due diligence and contract review
Build searchable entity indexes for legal databases

Code Example

python

import requests

def analyze_legal_document(document_text):
    """Extract entities from legal documents"""
    response = requests.post(
        "https://api.entity-detector.com/v1/analyze",
        headers={"Authorization": "Bearer YOUR_API_KEY"},
        json={"text": document_text}
    )

    result = response.json()

    return {
        "parties": result["entities"].get("persons", []) +
                   result["entities"].get("organizations", []),
        "locations": result["entities"].get("locations", []),
        "relations": result.get("relations", []),
        "metadata": result.get("meta", {})
    }

# Example: Analyze a contract
contract = """
This Agreement is entered into between Acme Corporation,
a Delaware company ("Seller"), and John Smith ("Buyer"),
effective as of January 15, 2024, regarding property
located at 123 Main Street, San Francisco, California.
"""

analysis = analyze_legal_document(contract)
print(f"Parties: {analysis['parties']}")
print(f"Locations: {analysis['locations']}")

Example Output

json

{
  "parties": [
    "Acme Corporation",
    "John Smith"
  ],
  "locations": [
    "Delaware",
    "123 Main Street",
    "San Francisco",
    "California"
  ],
  "relations": [
    {
      "source": "Acme Corporation",
      "target": "Delaware",
      "type": "located_in",
      "evidence": "a Delaware company"
    },
    {
      "source": "John Smith",
      "target": "Acme Corporation",
      "type": "related_to",
      "evidence": "Agreement is entered into between"
    }
  ]
}

Ready to get started?

Try entity extraction for your legal document analysis workflow.

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