Extract key fields from any contract

Parties, dates & terms NDAs, leases & agreements Structured JSON output

Contract data extraction is the automated process of identifying and pulling structured fields — such as parties, effective dates, payment terms, and key clauses — from contract and legal documents.

With Parselyze, developers and legal teams can extract contract metadata at scale using a simple REST API. Instead of reviewing PDFs manually, you define your fields once and receive clean, structured JSON ready to index in your CLM, CRM, or internal database.

The Problem

Contracts are full of critical data, buried in PDFs

Legal and procurement teams manage hundreds of contracts. Key fields like parties, effective dates, payment terms, and renewal clauses are scattered across dense documents. Finding and extracting them manually takes hours per contract.

During M&A due diligence, a team might review hundreds of agreements under time pressure. Without automated extraction, critical obligations are missed or deadlines are overrun.

Hours per contract for manual review and data capture

Missed renewal deadlines due to lack of visibility

Large document sets impossible to review manually at scale

Manual entry errors create compliance and billing risks

The Solution

Structured contract data at scale

Define a contract extraction template once. Submit any contract PDF and receive a structured JSON object with every key field indexed and searchable.

01

Define your template

Use AI Template Wizard on a sample contract to detect all relevant fields automatically.

02

Submit contracts in bulk

Upload via API, email pipeline, or storage trigger. Process hundreds of contracts async.

03

Index in your CLM or database

Push structured data to your contract lifecycle management tool or internal database.

Real Example

Extraction output for a service agreement

Fields extracted from a service agreement
Contract type
Effective date
Expiry date
Parties
Payment terms
Contract value
Governing law
Auto-renewal
Notice period
Currency
contract_result.json
{
  "contract_type":  "Service Agreement",
  "effective_date": "2025-01-01",
  "expiry_date":    "2026-01-01",
  "parties": {
    "client":   "Globex Corporation",
    "provider": "Initech Solutions Ltd"
  },
  "payment_terms":   "Net 30",
  "contract_value":  48000,
  "currency":        "USD",
  "governing_law":   "New York, USA",
  "auto_renewal":    true,
  "notice_period":   "30 days"
}

Typical workflows

Contract Repository Indexing

Extract metadata from all contracts and store them in a searchable database.

Renewal Alerts

Parse expiry dates and auto_renewal flags to trigger reminder notifications before deadlines.

Due Diligence

Quickly extract key obligations and risks from large document sets during M&A or audits.

Vendor Management

Track contract values, payment terms, and governing law across your vendor portfolio.

NDA Processing

Pull signing parties, governing law, confidentiality scope, and expiry dates from NDAs automatically as part of your deal intake workflow.

Compliance Document Monitoring

Keep your compliance records up to date by extracting expiry dates, obligation schedules, and signatory details from regulatory documents.

How to Integrate

Extract contract data at any scale

Submit contracts via the REST API or Node.js SDK. For large volumes, use the async job queue: submit hundreds of contracts and receive results via webhook as each one completes.

Ready to integrate?

SDK examples, REST API reference, webhook handler, and cURL samples are all on the developer page.

Developer integration guide

Frequently asked questions

Everything you need to know about contract data extraction.

What is contract data extraction?

Contract data extraction is the automated process of identifying and pulling structured fields — such as parties, effective dates, payment terms, and key clauses — from contract documents.

What is contract metadata extraction?

Contract metadata extraction refers to pulling high-level identifying information from a contract, such as contract type, effective date, expiry date, parties, and governing law, without reading the full text manually.

How does automated contract data extraction work?

Automated contract data extraction uses AI and OCR to analyze contract PDFs, identify field locations based on your template definitions, and return the values as structured JSON.

What contract fields can be extracted?

Typical fields include contract type, effective date, expiry date, parties, payment terms, contract value, currency, governing law, auto-renewal clause, notice period, and confidentiality scope. You can extract any field that appears in your contracts by defining it in your template.

Can Parselyze extract data from all contract formats?

Yes. Parselyze works across standard and non-standard contract layouts — service agreements, NDAs, leases, purchase orders, and more. You define the fields once and the AI handles extraction regardless of document formatting.

How do I integrate contract data extraction into my system?

Send the contract PDF to the Parselyze REST API with your template ID. You receive a structured JSON response with all extracted fields, ready to insert into your CLM, CRM, or database. For large volumes, use the async job queue with webhook delivery.

Extract data from your contracts automatically

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