AI use cases/Legal/Contract analysis and review
Legal

Contract analysis and review

-75% review time

Lawyers reread every contract by hand to spot risky clauses, inconsistencies and departures from internal standards. Bloomberg Law's 2024 analysis of contract workflows puts manual review at 92 minutes per standard commercial contract, against 22 minutes with an assisted first pass. That difference ties senior people to repetitive work where attention drops as volume rises.

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The automated workflow

A structured process for fast, reliable results.

01

Contract ingestion

The document (PDF, Word, scanned) is imported into the analysis platform.

02

Key clause extraction

Important clauses are identified automatically: liability, termination, penalties, confidentiality.

03

Comparison with the playbook

Departures from standard clauses and the company's internal requirements are analysed.

04

Alert report

A structured report with points of attention, deviations and recommendations.

Tangible results

-75%
Contract review time
94 to 97%
Clause identification accuracy
22 min
Per contract, against 92 minutes manually

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 analysis and review

All types: commercial contracts, leases, employment contracts, partnership agreements, NDAs, terms and conditions of sale. The tool adapts to the structure and vocabulary of each type of document.

AI supports the lawyer by automating detection and comparison, while final approval stays with a person. The lawyer focuses on strategic analysis rather than mechanical rereading.

On standard clauses, industry benchmarks put accuracy between 94 and 97%. On unusual clause structures it falls to around 65 to 75%, which is why human review is kept on complex files.

Scanned documents go through OCR before analysis. Scan quality affects accuracy, and results stay high on reasonable scans.

Yes, processing takes place in a secure, GDPR-compliant environment. Your data is never used to train third-party models, and on-premise deployment is available.

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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