AI use cases/Legal/Contract data extraction
Legal

Contract data extraction

-65% extraction time

Manually capturing key data from PDF or scanned contracts (dates, amounts, parties, specific clauses) to feed tracking spreadsheets ties up people on low-value work, with an error risk that grows with volume.

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The automated workflow

A structured process for fast, reliable results.

01

Contract import

Contract documents (native PDF, scanned, Word) are loaded into the platform.

02

Recognition and structure

OCR where needed, then automatic identification of the document's structure and areas of interest.

03

Key data extraction

Automatic extraction: dates (signature, expiry, renewal), amounts, parties, specific clauses.

04

Structured export

Your tracking spreadsheets, databases or contract management tools are fed automatically.

Tangible results

-65%
Data extraction time
94%
F1 score on clause extraction
API
Feeds your tools directly

Up and running in 3 to 4 weeks

From specification to deployment, with visible results from the first few weeks.

Rapid scoping (1 week)
Working prototype at the halfway point
Deployment and training included

Frequently asked questions: Contract data extraction

Native PDFs, scanned PDFs (through OCR), Word documents and most office formats. Scan quality affects accuracy, and results stay high on reasonable scans.

Any structured data: dates, amounts, party names, durations, renewal terms, specific clauses. Extraction fields are customised to your needs.

Data flows to your existing tools (Excel, ERP, contract management tool) through connectors or structured exports (CSV, JSON, API).

The ContractEval benchmark published in 2026, measured on more than 1,200 contract fields, puts specialist engines at around a 94% F1 score, against 85% for a general-purpose model. A validation step lets uncertain cases be checked and corrected.

Ready to automate this workflow?

A free first call to assess the feasibility and ROI of this use case in your context.

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