DocuOCR reads your executed contracts and pulls out every obligation, the payment terms, delivery deadlines, reporting duties, renewal and termination dates, and the clauses behind them, into structured fields you can export to Excel, CSV, or JSON, or push straight into your CLM or tracker. It reads native PDFs, scanned paper, and photographed pages, no template required.
The extraction layer that turns signed contracts into trackable obligation data.
Last updated June 2026
Upload a document to extract
Drop files here or click to upload
Up to 50 files
Free plan extracts the first 5, rest can be unlocked after
Uploading...
Drop in a contract to see the obligations, deadlines, and clauses DocuOCR pulls out, ready to export.
Upload, read, review, export. No reading every page by hand, no copying obligations into a spreadsheet, no missed renewal hidden on page nine.
Drop in a signed contract as a PDF, Word file, or scan. Process one master agreement or a whole repository of contracts at once.
DocuOCR reads the full text, recognizes standard and non-standard obligation clauses, and returns each commitment by type, responsible party, and deadline.
Every obligation carries a confidence score and a link to its source clause, so a doubtful or non-standard read is checked before you trust it.
Send the structured obligations to Excel, CSV, or JSON, or push them into your CLM, obligation tracker, or calendar through one REST API.
# executed contract -> obligations as clean fields { "document_type": "master_services_agreement", "parties": ["Acme Corp", "Northwind LLC"], "effective_date": "2026-03-01", "obligations": [ { "type": "payment", "owner": "Northwind LLC", "due": "Net 30 from invoice", "clause": "5.2" }, { "type": "renewal_notice", "owner": "Acme Corp", "due": "60 days before term end", "clause": "11.1" }, { "type": "reporting", "owner": "Northwind LLC", "due": "quarterly", "clause": "7.4" } ], "confidence": 0.97 } # export -> .xlsx | .csv | .json | CLM / tracker
DocuOCR returns the commitments your team has to track and the contract metadata that gives each one context, so nothing has to be read off the page by hand.
A contract is one document in the matter file. DocuOCR also reads pleadings, corporate records, and legal invoices in the same workflow. See the full legal document processing software for the whole matter, or the focused contract OCR tool for reading a single agreement's parties, dates, and terms.
If commitments are buried across hundreds of signed agreements and someone has to find them before a deadline slips, this is for you.
Turn a backlog of executed contracts into a structured obligation register without a paralegal reading every page to find the commitments.
Feed clean, source-linked obligations into your CLM so owners and due dates can be assigned instead of typed in from a manual read.
Pull supplier deadlines, SLAs, pricing terms, and renewal notices out of every vendor agreement before an auto-renewal locks you in.
Extract payment obligations, billing milestones, and price-escalation terms so nothing on a contract is missed at invoicing or accrual.
Find reporting duties, data-handling terms, and regulatory commitments across the contract portfolio to evidence compliance on demand.
Add obligation extraction to your product through one REST API instead of building contract NLP and clause models yourself.
A typical commercial contract hides dozens of obligations across its clauses. Finding them by hand means a reviewer reads every page, copies each commitment into a tracker, and hopes nothing non-standard was missed. The gaps usually surface only when a deadline is already blown.
DocuOCR reads the whole agreement, recognizes standard and non-standard obligations, keeps each one tied to its source clause, and exports clean data, so the slow, error-prone read becomes a few minutes of checking flagged obligations.
See the full legal document processing softwareDocuOCR is the extraction layer, not a replacement for your contract-lifecycle system. It turns signed contracts into structured obligation data; your CLM or tracker handles assigning owners, sending reminders, and reporting to completion. Accuracy runs 95 to 99 percent on clean contracts, with a confidence score and a source-clause link on every obligation, so uncertain reads are reviewed rather than trusted blindly.
Obligation extraction is one job inside the legal workflow. DocuOCR is the platform that reads the rest of the matter file too.
The category platform: classify a mixed matter file and extract contracts, pleadings, corporate records, and legal invoices.
The focused tool for reading a single contract: parties, dates, terms, governing law, and amounts.
Digitize a whole repository of signed contracts into structured, searchable records for your CLM.
The full platform behind this page, with a dashboard for teams who want contract data without code.
The end-to-end pipeline that classifies, reads, extracts, and validates documents before obligations are pulled.
Sort a mixed contract folder into MSAs, NDAs, amendments, and exhibits before extraction runs.
Add obligation and contract extraction to your own CLM or legal-tech product through one REST call.
New to automating this? Read contract obligation extraction: how AI finds your commitments for the step-by-step on which obligations to capture, how AI recognizes obligation clauses, and how to feed them into your CLM. To digitize a back catalog of scanned agreements first, see OCR for contract management.
Contracts carry confidential terms, pricing, and personal data, so they are handled under enterprise-grade controls, with encryption in transit and at rest, role-based access, audit logs, and optional automatic purge after extraction. That supports your own contractual confidentiality obligations; ask about deployment options for your environment.
The questions people ask most about extracting obligations and tracking commitments in contracts.
Obligation extraction is the process of using AI to identify and pull every commitment out of an executed contract, the payment terms, delivery deadlines, reporting duties, and renewal dates, and turn them into structured data. Instead of a lawyer reading each agreement line by line, the software finds the obligations and labels who owes what, by when, and under which clause.
Contract obligation management is the post-signature process of identifying, assigning, tracking, and fulfilling every commitment in a contract, from payment schedules and delivery timelines to compliance and reporting duties. Obligation extraction is its first step: it converts the contract text into a structured list of obligations your team, or your CLM, can then assign owners and due dates to.
You extract obligations from a contract by running it through an AI extraction engine that reads the language, recognizes obligation clauses, and returns them as structured fields. Upload the signed PDF or scan, and the software finds each commitment by type, owner, and deadline, links it to its source clause, and flags anything uncertain for a reviewer before export.
Contract data extraction pulls every key field from an agreement: the parties, effective date, value, governing law, and clauses. Obligation extraction is the slice focused on commitments, what each party must do, by when, and under what terms. DocuOCR does both, returning the contract metadata and the obligations with their deadlines in one structured output.
Obligations in a contract are the binding commitments each party agrees to perform, such as paying an invoice within thirty days, delivering goods by a date, maintaining insurance, reporting on a schedule, or giving notice before renewal. A typical commercial contract holds dozens of them, scattered across clauses, which is why automated extraction matters.
Modern AI extracts obligations from a clean contract at roughly 95 percent field-level accuracy and climbs toward 99 percent with validation rules and review. Accuracy matters because a missed renewal deadline or payment obligation carries real cost. A confidence score on every obligation, plus a link to its source clause, lets a reviewer confirm the doubtful ones quickly.
Yes. DocuOCR reads native PDFs, scanned paper contracts, and photographed pages, running OCR first when the text is not selectable, then extracting the obligations from the recognized text. It handles signed agreements, amendments, and exhibits the same way, so older contracts sitting in a shared drive become structured, searchable obligation data.
DocuOCR extracts payment and pricing obligations, delivery and performance deadlines, service-level commitments, reporting and compliance duties, renewal and termination notice periods, confidentiality and data-handling terms, indemnification and liability provisions, and milestone dates. Each obligation comes back tagged by type and tied to the clause and page it came from.
DocuOCR is priced per page, so you pay for the contracts you actually process rather than a fixed seat license or an annual enterprise platform fee. You can test it on your own contracts for free before committing, and pricing scales with volume, which suits a small legal team and a procurement department processing thousands of agreements equally.
Upload a contract, watch the obligations, deadlines, and clauses come back as clean, source-linked fields, then scale per page across the whole portfolio.
