AI contract review that reads third-party paper the way your legal team would: clause by clause, against your fallback positions. It proposes redlines, scores risk and pulls obligations into your CLM, with a lawyer approving every change.
AI contract review is software that reads an incoming contract, compares each clause with a company's negotiation playbook and flags deviations. It outputs a risk-scored clause list, suggested redlines in tracked changes, and extracted obligations such as renewal dates, liability caps and data-processing duties. A lawyer or contract manager reviews and approves the output before anything goes back to the counterparty.
Most in-house teams review low-risk paper with the same effort as a strategic deal. Queues grow, sales waits, and the obligations buried in signed contracts rarely make it into any system.
Average value lost to inefficient contract management, and up to 15% in some organisations, according to World Commerce & Contracting's 2025 study.[1]
Contract data spread across an average of 24 systems, which is why renewal dates and caps get missed.[1]
Average time 20 experienced lawyers took to review five NDAs, versus 26 seconds for an AI system in the same 2018 test.[2]
Checked against your written fallback positions, so reviewers start from the deviations, not page one.
We turn your playbook into structured rules: preferred position, acceptable fallbacks, walk-away points and who can approve each.
Suggested edits land as tracked changes with a short comment explaining the business reason, written in your house style.
Once signed, we pull the commitments that cost money if missed and push them where people work.
We workshop your NDA, MSA and DPA positions with legal, turn them into testable rules and agree the one metric: first-pass review time or clause-flag accuracy.
We run 100–200 past contracts through the pipeline and compare flags with what your lawyers actually negotiated. Misses become rule fixes.
New contracts are reviewed in parallel. Lawyers score each flag and redline as useful, wrong or missing, inside Word.
Low-risk paper routes through AI first pass with lawyer approval. We report the agreed metric against the baseline and the go/no-go for Run.
| Criterion | Manual review | Off-the-shelf AI review tool | Stratgik build + run |
|---|---|---|---|
| Uses your playbook | In lawyers' heads | Generic or template playbooks; configurable to a point | Your positions, fallbacks and approvers encoded and versioned |
| Speed on routine NDAs | Hours to days in queue | Minutes | Minutes, with routing by risk |
| Redline quality | High but inconsistent between reviewers | Good on common clauses | Drawn from your clause library, tuned on your past negotiations |
| Post-signature obligations | Rarely captured | Often a separate module | Pushed into your CLM, ERP and calendars |
| Data residency | Internal | Vendor cloud | Your cloud tenant (AWS, Azure, GCP), zero-retention model endpoints |
| Best fit | Very low volume | Standard paper, quick start | Mixed paper, multiple regions, custom workflow |
Contract value erodes through missed renewals, unenforced caps and slow cycles. AI review addresses the intake bottleneck and the obligations gap at the same time.
Enter your contract volume and the legal time each one takes today. The share of review time saved is an assumption; the pilot measures it on your own contracts.
Illustrative estimate using your inputs and stated assumptions, not a quote or guarantee. The pilot measures the real figure against your baseline.
Two contract types (e.g. NDA + MSA), one playbook, one intake channel
Live review, monitoring and monthly playbook updates
More contract types, regions and business units
Model usage, OCR pages and cloud hosting billed at cost with no markup. Stratgik provides software and engineering, not legal advice; your lawyers remain responsible for every contract. Taxes excluded. GBP and AED prices are indicative conversions from USD.
AI contract review is accurate enough for first-pass review of routine agreements when it is tested against your own contracts. A 2018 LawGeex study measured 94% accuracy for AI spotting NDA risks versus 85% for experienced lawyers, but results vary by contract type and playbook quality. That is why our pilot back-tests on your signed history and keeps a lawyer approving every redline.
Yes. We encode your preferred positions, acceptable fallbacks, walk-away points and approval thresholds as structured rules. Each flag the system raises cites the clause text and the specific rule it breaks, so reviewers can see why. When your legal team changes a position, the playbook is updated and versioned, and the change is re-tested on past contracts before it goes live.
Stratgik's AI contract review starts with a fixed 21-day pilot at $14,000 covering two contract types and one playbook. Ongoing Run is $3,500 a month for monitoring, playbook updates and obligations sync. Scale starts from $9,000 a month for more contract types and regions. Model and cloud usage is billed at cost. The calculator above estimates legal time released so you can compare.
It can be, if the architecture is right. We deploy in your own AWS, Azure or Google Cloud tenant, use model endpoints with zero data retention and no training on your data, and keep access tied to your identity provider. Documents never go into a shared vendor database. Your information security and privilege policies are reviewed during the first week of the pilot.
No. It removes the slowest part of review, reading every page to find deviations, so lawyers spend time on the clauses that matter. The system drafts redlines and extracts obligations, but a named lawyer or contract manager approves every change before it reaches the counterparty. Strategic, novel or high-value deals stay fully with your legal team.
It checks DPAs against your privacy playbook: processor role, sub-processor notice, breach notification windows, audit rights and transfer mechanisms such as SCCs or the UK IDTA. Region-specific positions, including UAE PDPL and DIFC or ADGM data protection terms where relevant, are configured with your privacy counsel. The output flags gaps for review; it does not certify compliance.
We will show you, on your own paper, which clauses the system flags, the redlines it drafts and the obligations it extracts, before you commit to a pilot.