Contract Data Extraction.

Contract data extraction reads a signed agreement and pulls out parties, dates, renewal clauses, and payment terms, from any counterparty's format. Axia Extract does it with AI-powered OCR, scanned or digital.

How it works

From contract to structured terms, in three steps.

01

Define your schema

Parties, effective date, term length, renewal clause, payment terms, key obligations — the fields your contract review needs.

02

Upload the contract

Scanned agreements, signed PDFs, or long-form contracts in any counterparty's template. No layout matching required.

03

Get structured clauses

Key terms and dates back with a confidence score per field, ready for a contract repository or the API.

Who uses this

Built for contract-heavy teams.

Legal ops & contract review

Pull renewal dates, termination clauses, and payment terms out of a contract backlog without reading every page.

Vendor & procurement management

Track obligations and expiry dates across hundreds of vendor agreements in different formats.

M&A & due diligence

Extract key terms from a large contract set fast, flagging low-confidence fields for attorney review.

Benchmarked accuracy

98.2% field accuracy, 96.3% on dates.

98.2%

Average field accuracy

96.3%

Dates

Benchmarked against SROIE2019, a public dataset of 347 real-world documents, with per-field results published openly.

See the full accuracy report

FAQ

Contract data extraction, answered.

What is contract data extraction?
Contract data extraction reads a signed agreement, scanned or digital, and pulls out structured data: parties, effective date, term length, renewal clause, payment terms, and key obligations. Axia Extract does this with AI, without a template for each counterparty's contract format.
Can it read scanned or older contracts?
Yes. Axia Extract's OCR handles scanned PDFs and photographed pages alongside native digital documents, so older paper agreements work the same way as recently signed ones.
How accurate is contract clause extraction?
Axia Extract averages 98.2% field accuracy and 96.3% on dates, benchmarked on the public SROIE2019 dataset. Every field returns its own confidence score, so a low-confidence clause reading can route to attorney review instead of getting accepted silently.
Does it replace contract review software?
No. It handles the data-capture step, reading key terms and dates into structured fields, which then feeds into whatever contract lifecycle management or review workflow your legal team runs.
Does it integrate with a contract repository?
Yes. Extracted data exports to CSV, JSON, or Excel, or pulls directly through the REST API into a contract management or repository system.

See it read your contracts.

Upload a real agreement and get key terms back structured in seconds, no template required.

Contract data extraction that doesn't need a matching template.

Most legal and procurement teams sit on a backlog of signed contracts nobody has time to reread. Renewal dates get missed, payment terms get misremembered, and finding one clause across hundreds of agreements means opening files one at a time. Contract data extraction exists to pull the terms that matter out of that backlog without reading every page.

Diagram showing a signed agreement going in on the left, and structured, confidence-scored fields like parties, renewal terms, and effective date coming out on the right
A signed agreement in, structured contract terms out.
A typical contract extraction schema
FieldExample value
PartiesAxia Extract & Northwind Traders
Effective date / term2026-01-01 / 12 months
Renewal clauseAuto-renews unless cancelled 30 days prior
Payment termsNet 30
Termination clause60-day written notice

Contracts are one of the hardest document types for template-based tools: every counterparty uses its own format, clause ordering, and language, and a template built for one vendor's paper won't match the next one. Axia Extract reads contract structure directly with AI, so a new counterparty's agreement works without a rebuild, whether it's a native PDF or a scanned paper copy.

Legal ops teams use it to pull renewal dates, termination clauses, and payment terms out of a contract backlog. Procurement and vendor management teams use it to track obligations and expiry dates across agreements, often alongside the purchase orders those contracts govern. M&A and due diligence teams use it to extract key terms from a large contract set fast, routing low-confidence fields to an attorney instead of trusting every read blind. Our guide to AI data extraction covers how schema-based reading handles unstructured documents like these more broadly.

Axia Extract publishes its benchmark accuracy openly: 98.2% average field accuracy and 96.3% on dates, tested against SROIE2019, a public dataset of 347 real documents and detailed on the accuracy page. Every extracted field returns its own confidence score. Results export to CSV, JSON, or Excel, or pull directly through the REST API into a contract management or repository system.