Extract contracts to structured JSON

Contracts bury parties, terms, obligations, dates, and financial conditions in pages of legal text. Formats vary across counterparties and industries. Use Sensible to get structured contract data for CLM integration, obligation tracking, renewal management, and compliance.

Why contracts break standard extraction tools

Long-form legal text, nested clauses, and inconsistent formatting make contracts a language problem.

Legal Language Parsing

Contracts mix structured data (party names, dates, amounts) with dense legal prose. LLM reasoning interprets the legal language; SenseML rules extract the specific fields and values your contract management system needs.

Clause Identification

Termination, indemnification, confidentiality, force majeure: these clauses appear in varying sections with different numbering schemes. Each clause type is located by semantic meaning, not position, because every firm structures contracts differently.

Amendment and Addendum Linking

Original agreement numbers, modified clauses, new terms: amendments reference their parent contract and change specific provisions. Each modification is extracted as a structured change record linked to the original.

Fields we extract

Party, financial, and clause fields cover CLM workflows. Customize for your contract management system.

Parties and dates

Party names, addresses, roles (buyer/seller/licensor/licensee), effective date, execution date, expiration date, governing law, jurisdiction

Financial terms

Contract value, payment schedule, rate/pricing, penalties, caps, escalation clauses, currency, tax treatment

Key clauses

Termination provisions, renewal terms (auto-renewal/notice period), indemnification, limitation of liability, confidentiality, IP ownership


{ /* SenseML: contract extraction */
"fields": [
{
"method": {
"id": "queryGroup",
"queries": [
{
// First party name
"id": "party_a",
"description": "first party, party A, company name, licensor, seller"
},
{
// Second party name
"id": "party_b",
"description": "second party, party B, counterparty, licensee, buyer"
},
{
// Effective date of the agreement
"id": "effective_date",
"description": "effective date, agreement date, as of date",
"type": { "id": "date" }
},
{
// Contract value or total consideration
"id": "contract_value",
"description": "contract value, total consideration, annual fee, total amount",
"type": { "id": "currency" }
}
// Additional fields for term, renewal, termination, governing law, etc.
]
}
}
]
}
Lease Agreement

Commercial or residential lease with term, rent, deposit, and renewal provisions.

Employment Agreement

Employment contract with compensation, benefits, non-compete, and termination terms.

SLA

Service Level Agreement with performance metrics, uptime guarantees, and remedies.

NDA

Non-Disclosure Agreement with parties, confidential information definition, and term.

MSA

Master Service Agreement covering the general terms for an ongoing business relationship.

Supported contract types

Sensible processes SaaS, employment, NDA, lease, vendor, and specialty contracts. Hybrid extraction handles the range of legal writing styles while deterministic rules enforce your contract data schema.

Commercial

MSAs, SOWs, SaaS/license agreements, NDAs, supply agreements, distribution agreements, vendor contracts

Specialized

Real estate leases, employment agreements, franchise agreements, joint venture agreements, government contracts (FAR/DFARS)

Trusted by operations and engineering teams at

Common Questions

Answers about clause identification, amendment linking, and contract type support.

Can Sensible handle contract amendments and addenda?

Yes. Sensible processes amendments as standalone documents, extracting the original agreement reference, amendment date, modified clauses, and new terms.

Does Sensible extract key dates and terms from contracts?

Yes. Sensible captures effective date, expiration date, renewal terms, notice periods, payment terms, and any milestone dates specified in the agreement.

What party information does Sensible extract from contracts?

Sensible captures party names, roles (buyer, seller, licensor, licensee), addresses, and signatory details including name, title, and signature date for each party.

Can Sensible identify specific clauses in contracts?

Yes. Sensible locates and extracts specific clause types including indemnification, limitation of liability, termination, confidentiality, non-compete, and force majeure provisions.

Do you support webhooks?

Yes. Sensible sends extraction results to your webhook endpoint when processing completes. You can also poll the API for status.

Does Sensible support human review?

Yes. Sensible flags extractions with low confidence for human review. You can configure review thresholds and workflows.

What security certifications does Sensible have?

Sensible is SOC 2 Type II certified and HIPAA compliant. Data is encrypted in transit and at rest.

How long is document data retained?

Document data is stored indefinitely by default. Custom retention policies are available and can be configured for same-day deletion if needed.

Is there a free trial?

Yes. Sensible offers a 14-day free trial on the Growth plan. No credit card required to start.

How is pricing structured?

Sensible uses per-document pricing for predictable costs. No token-based billing or usage surprises. Volume discounts are available for higher throughput.

How do I integrate with Sensible?

Sensible provides REST APIs and SDKs for Python and Node.js. Most integrations take a few hours. Webhooks, Zapier, and direct API calls are all supported.

What file formats does Sensible support?

Sensible processes PDFs (native or scanned), Microsoft Word (DOC, DOCX), spreadsheets (XLSX, XLS, CSV), single-page images (JPEG, PNG), multi-page images (TIFF), and email bodies with attachments.

How accurate is the extraction?

Accuracy depends on document quality and configuration. Most production deployments achieve 95%+ accuracy with proper validation rules and confidence signals.

How fast is document processing?

Processing speed depends on document size, page count, OCR requirements, and which extraction methods are used. Simple single-page documents process in seconds. Larger or more complex documents that use LLM-based extraction take longer.