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. Sensible extracts contract data into validated JSON for CLM integration, obligation tracking, renewal management, and compliance.
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Why contracts break standard extraction tools
Long-form legal text, nested clauses, and inconsistent formatting make contracts a language problem.
Contracts mix structured data with dense legal prose. Sensible uses LLM reasoning to interpret clauses and validation to enforce types.
Termination, indemnification, and confidentiality clauses appear in varying sections. Sensible identifies each by legal function.
Amendments and addenda reference original agreements. Sensible extracts modification details and links them to affected base sections.
Fields we extract
Extract any data you need from contracts into your desired output schema
Party names, addresses, roles (buyer/seller/licensor/licensee), effective date, execution date, expiration date, governing law, jurisdiction
Contract value, payment schedule, rate/pricing, penalties, caps, escalation clauses, currency, tax treatment
Termination provisions, renewal terms (auto-renewal/notice period), indemnification, limitation of liability, confidentiality, IP ownership
Commercial or residential lease with term, rent, deposit, and renewal provisions.
Employment contract with compensation, benefits, non-compete, and termination terms.
Service Level Agreement with performance metrics, uptime guarantees, and remedies.
Non-Disclosure Agreement with parties, confidential information definition, and term.
Master Service Agreement covering the general terms for an ongoing business relationship.
Supported contract types
Sensible processes contracts across all major categories including SaaS, employment, vendor, and lease agreements. Any contract type can be custom configured within hours.
MSAs, SOWs, SaaS/license agreements, NDAs, supply agreements, distribution agreements, vendor contracts
Real estate leases, employment agreements, franchise agreements, joint venture agreements, government contracts (FAR/DFARS)
Common Questions
Details on Sensible contract data extraction.
Yes. Sensible processes amendments as standalone documents, extracting the original agreement reference, amendment date, modified clauses, and new terms.
Yes. Sensible captures effective date, expiration date, renewal terms, notice periods, payment terms, and any milestone dates specified in the agreement.
Sensible captures party names, roles (buyer, seller, licensor, licensee), addresses, and signatory details including name, title, and signature date for each party.
Yes. Sensible locates and extracts specific clause types including indemnification, limitation of liability, termination, confidentiality, non-compete, and force majeure provisions.
Yes. Sensible sends extraction results to your webhook endpoint when processing completes. You can also poll the API for status.
Yes. Sensible flags extractions with low confidence for human review. You can configure review thresholds and workflows.
Sensible is SOC 2 Type II certified and HIPAA compliant. Data is encrypted in transit and at rest.
Documents are deleted after 30 days by default. You can configure shorter retention periods or request immediate deletion via API.
Yes. Sensible offers a free tier with 50 documents per month. No credit card required to start.
Sensible uses per-document pricing for predictable costs. No token-based billing or usage surprises. Volume discounts are available for higher throughput.
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.
Sensible processes PDF, PNG, JPG, and TIFF files. PDFs can be native or scanned.
Accuracy depends on document quality and configuration. Most production deployments achieve 95%+ accuracy with proper validation rules and confidence scoring.
Most documents process in 2 to 10 seconds depending on complexity and page count.