Contract review automation
Legal teams spend 30 to 40 percent of their time on first-pass contract review: extracting key terms, checking against standard clauses and flagging risk. Most of that work is repetitive but requires trained judgement to do safely.
AI extracts and classifies clauses, compares them against an approved playbook, and routes only the real deviations to a human reviewer with the exact passage highlighted.
- 01
The system ingests a contract and identifies the clauses that matter for your playbook.
- 02
Each clause is compared against your approved standard and variation library.
- 03
Clear matches are auto-approved; deviations are flagged with the offending language and a suggested redline.
- 04
A human lawyer reviews only the flagged clauses, typically five to fifteen per contract instead of the full document.
- 05
Every decision is logged with rationale for audit and future playbook refinement.
for a mid-size legal team reviewing 200+ contracts a month.
Ranges drawn from production deployments and public enterprise benchmarks. For a specific rupee or dollar figure tailored to your volume, use the calculator below.
Prerequisites for a clean deployment.
- A document repository or contract management system
- At least 200 historical contracts to train the classifier
- An approved clause playbook or style guide
- A named lawyer to own the review workflow
Put your own numbers on it.
“At 1,000 documents a month and a loaded monthly cost of ₹1,50,000 per person, contract review automation would typically save ₹9.0 L to ₹12 L a year.”
Range uses this use case’s typical automation rate (60 to 80 percent) against the baseline time per task for documents work, with your cost per person converted at 160 working hours a month.