Trusted by teams turning documents into production data
Cross-industry
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.
Validated JSON
Schema-enforced output; every field matches your contract
Source coordinates
Every value links back to page + bounding box for audit
Per-document pricing
Predictable cost. No token-volatility surprises
Trusted by teams turning documents into production data
Long-form legal text, nested clauses, and formatting that changes with every counterparty make contracts a language problem, not a layout one. We identify clauses, link amendments, and return the terms that matter as structured fields.
01
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.
02
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.
03
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.
Managed services
Solutions engineers handle plan, build, deploy, and adjust on your behalf. You see clean JSON in your API response. Same engine as self-serve, just with the configuration work outsourced.
What's included
01Plan.Engineers review your samples and pick the right method
02Build.SenseML configs written from your samples
03Deploy.Same engine as self-serve, ready for production
04Adjust.We update configs when formats shift or new edge cases appear
05Integrate.Help with custom integration into your downstream systems
Every contract is different, so we build the config around your exact schema rather than a fixed list. These are the fields legal and ops teams request most; we map whatever else your contract-management system needs.
01
Parties and dates
Party names, addresses, roles (buyer/seller/licensor/licensee), effective date, execution date, expiration date, governing law, jurisdiction
02
Financial terms
Contract value, payment schedule, rate/pricing, penalties, caps, escalation clauses, currency, tax treatment
03
Key clauses
Termination provisions, renewal terms (auto-renewal/notice period), indemnification, limitation of liability, confidentiality, IP ownership
config.json
SenseML
{ /* SenseML: contract extraction */
"fields": [
{
"method": {
"id": "queryGroup",
"queries": [
{ "id": "party_a", "description": "first party, party A, company name, licensor, seller" },
{ "id": "party_b", "description": "second party, party B, counterparty, licensee, buyer" },
{ "id": "effective_date", "description": "effective date, agreement date, as of date" },
{ "id": "contract_value", "description": "contract value, total consideration, annual fee, total amount" }
// + more fields, mapped to your schema
]
}
}
]
}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.
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)
Answers about clause identification, amendment linking, and contract type support.
Yes. Sensible processes amendments as standalone documents, extracting the original agreement reference, amendment date, modified clauses, and new terms.
Effective date, expiration date, renewal terms, notice periods, payment terms, and milestone dates come back by default. Contracts vary widely, so these are examples of what's commonly pulled, not a closed list. The dates and terms you extract are defined in configuration and shaped to your agreement types.
Sensible captures party names, roles (buyer, seller, licensor, licensee), addresses, and signatory details including name, title, and signature date. Roles and party fields are defined in configuration, so you extend them for the agreement types you handle rather than mapping to a fixed set.
Yes. Sensible locates clause types like indemnification, limitation of liability, termination, confidentiality, non-compete, and force majeure. Those are common examples. The clauses it looks for are defined in configuration, so you add the provisions specific to your contracts when something isn't already covered.
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.
Document data is stored indefinitely by default. Custom retention policies are available and can be configured for same-day deletion if needed.
Yes. Sensible offers a 14-day free trial on the Growth plan. 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 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.
Accuracy depends on document quality and configuration. Most production deployments achieve 95%+ accuracy with proper validation rules and confidence signals.
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.
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Free 14-day trial. No credit card required. Start extracting in minutes.