AI contract review

Your playbook. Every contract. In seconds.

Contratech learns the contract standard your company already follows, turns it into a playbook your legal team reviews and approves, and checks every new contract against it — with risk, compliance and the suggested wording to fix each gap.

Analyzing · services agreement

The confidentiality obligations set forth in this instrument shall remain in force for the duration of the negotiations.

Partial · high riskPlaybook 2.8 — missing post-termination survival period
  • Live in 3 to 7 days
  • Built on the standard your company already follows
  • No migration of already-signed contracts

In a five-lawyer team, manual contract work costs around

R$0K

a year — and it never lands on anyone’s spreadsheet.

Half of an in-house legal team’s time disappears into the pre-signature cycle: checking standard clauses, chasing versions back and forth, waiting in line. Not hard legal judgment.

Source: Bloomberg Law / WorldCC for the 50% figure. Hourly cost of R$ 130 (mid-level lawyer, fully loaded); annual projection based on Contratech’s internal modeling.

The rule, applied

Every company has a contract standard. It is almost never written down.

The standard exists: in the heads of the people who review, scattered across old decisions and buried inside the contracts the company has already signed. Because none of it is written down, every review starts from scratch.

  • Day 1A new contract joins the review queue.
  • Day 3First read. Three clauses outside the house standard.
  • Day 6The counterparty sends it back edited. Nobody knows which version stands.
  • Day 9The question goes up to the head of legal, who is in another negotiation.
  • Day 12Signed — without a single new decision having been made.

Legal is not the slow part. It is the review restarting from scratch every time, including on clauses already inside the rule.

Watch the platform

From the contracts you already sign to the playbook that checks the next ones.

No months-long project, and no stopping the team to write policy from scratch.

  1. 01

    Upload what you signed

    Two to five contracts of the same type, as PDF or DOCX.

  2. 02

    AI extracts the standard

    It finds what repeats and drafts the playbook from it.

  3. 03

    Legal approves it

    You review every rule and change whatever you want. The playbook is yours.

  4. 04

    Upload a new contract

    Pick which playbook the analysis should apply.

  5. 05

    Get the checklist

    Criteria checked, with risk, compliance and suggested wording, clause by clause.

What this changes: What this changes: the playbook stops being a document someone has to stop everything to write. It is extracted from what your company already signs, approved by legal, and applied on its own from there — freeing up the team’s capacity for the work that actually needs judgment.

The rule, applied

Watch the playbook decide.

This is not a language model giving an opinion on your clause. It is your rule, executed. Every result points back to the playbook item behind it.

The confidentiality obligations set forth in this instrument shall remain in force for the duration of the negotiations.
# playbook · 2.8 survival period
confidentiality_term:
  required: post_termination_survival
  tech_minimum: 12 months
  house_standard: 60 months
PartialHigh risk

The clause exists, but confidentiality ends together with the negotiation. There is no protection once the conversation is over — exactly when information tends to leak.

Suggested wording"…shall remain in force for the duration of the negotiations and for five (5) years from their termination."

Playbook 2.8 — Confidentiality survival period

Free diagnostic

Now run the same engine on your contract.

Send a contract and find out, in about a minute, how many risks our legal AI finds. It is the same analysis engine behind the platform, and the full diagnostic lands in your inbox.

  • About 1 minute
  • No card
  • The document is discarded after analysis
Analyze my contract for free
Proof

Time saved, by contract type.

Between 60% and 90% of pre-signature work is automatable, depending on the contract type. Contratech internal benchmarks; on NDA review, the LawGeex study (2018) measured 94% AI accuracy in 26 seconds, against 85% for human lawyers in 92 minutes.

Standard NDA−85%
1.3h
0.2h
Supplier agreement−78%
4.0h
0.9h
Customer / SaaS agreement−62%
6.0h
2.3h
Terms of use−58%
9.0h
3.8h
Drafting from scratch−87%
4.5h
0.6h
ManualWith Contratech
The comparison that matters

The real alternative is hiring one more lawyer.

This is how the math usually gets done in the budget meeting.

Hiring 1 mid-level lawyerContratech Professional
Total monthly costR$ 21,600R$ 7,645
Capacity added173 h/month (1 person)280+ h/month (whole team)
Time to deliver60 to 90 days3 to 7 days
Termination riskSeverance, notice period, payroll chargesMonthly cancellation, no penalty
Cost per productive hourR$ 125 to 215/hR$ 27/h or less

Contratech modeling based on an hourly cost of R$ 130 (mid-level) and R$ 160 (senior mix).

Calculator

What does your operation cost today?

Move the controls and see the capacity locked inside the pre-signature cycle.

Assumptions. 173 working hours per lawyer per month · 50% of that time consumed by the pre-signature cycle (Bloomberg Law / WorldCC) · R$ 130 hourly cost for a fully-loaded mid-level lawyer · 60% to 90% automatable range depending on contract type. Estimate for discussion, not a commercial proposal.

4,8x

return on the recommended plan, per month

281 h
of capacity freed per month
R$ 438,555
in freed-up time cost per year
Professional
plan recommended for this size
R$ 346,815
net per year, after the plan cost
Control

Legal stays the owner of the rule.

Automating review only works if the team can see everything the platform decided and change the rule at any time. That is how it is built.

Traceability

Every result points to the playbook item that produced it. Nobody has to guess why a clause was flagged as partial or missing.

Focused review

The team reads what fell outside the standard, not the whole contract — and every deviation arrives with suggested wording and the reasoning.

Versioned rules

The playbook is human-readable and keeps a change history. Legal reviews the logic, not the output.

Data under LGPD

Contracts and playbooks are isolated per client and never used to train models.

Who built it

Both sides of the problem, solved by the same two people.

CEO & co-founder

Luísa Barbosa

Regulatory lawyer · Goldman Sachs · Santander · B3

I spent years inside the bottleneck. Most of the time I already knew what the decision was — and the contract still waited on me.

CTO & co-founder

Antônio Ricardo Brasil

PhD in AI · Amazon · PicPay · distributed systems

A system that decides at scale does not improvise. It needs an explicit rule, a full log, and a way back when it gets it wrong.
Plans

Choose based on the size of your operation.

The real alternative is usually hiring one more mid-level lawyer: R$ 21,600 a month for 173 h from one person, in 60 to 90 days. The 45-minute call is the best place to start — we build your playbook from your own contracts before you choose a plan. Checkout runs through Asaas, and paid access is activated only after provider confirmation.

Essential

R$ 2,545/month

For legal teams of up to 5 seats, with unlimited contracts and your own playbook.

Professional

R$ 7,645/month

For legal operations of up to 25 seats, with higher usage and analysis volume.

The real alternative is usually hiring one more mid-level lawyer: R$ 21,600 a month for 173 h from one person, in 60 to 90 days. The 45-minute call is the best place to start — we build your playbook from your own contracts before you choose a plan. Checkout runs through Asaas, and paid access is activated only after provider confirmation.

Frequently asked questions

What people usually ask before the call.

How does my company’s playbook get into the system?
You upload two to five contracts of the same type that you have already signed. The AI finds the patterns that repeat and drafts the playbook from them. Legal reviews it rule by rule, changes whatever it wants and approves — only then does it take effect. No months-long project to document policy from scratch.
Does this replace legal review?
No. The platform checks the contract against the playbook and returns what is compliant, what is partial and what is missing, with risk and suggested wording. The legal team still decides — the difference is that it reads what fell outside the standard instead of re-reading the whole contract.
Are you a contract management platform?
No. Contratech works before signature — drafting, analysis and negotiation. We are not a repository or a lifecycle-management platform, and you do not need to migrate your already-signed contracts to start.
Is this generative AI? Can it invent a clause?
Text generation is AI-assisted, but the decision is not. The check runs against your playbook as structured rules, and every result cites the item that produced it. That is why the report is auditable — you see the reasoning, not just the outcome.
Which contract types do you cover today?
Unilateral and bilateral NDAs, services agreements, public concessions, employment contracts (on-site, hybrid and remote) and amendments, plus customizable blank templates. New types are modeled from your own contracts.
Are my contracts used to train models?
No. Contracts and playbooks are isolated per client and never feed model training. Data processing follows Brazil’s LGPD.
How long until we are up and running?
3 to 7 days. The 45-minute call already runs on real contracts of yours.
45 minutes

Let’s build your playbook.

Bring two to five contracts your company has already signed. On the 45-minute call, the platform extracts the playbook in front of you and runs the analysis on a real contract of yours — with the ROI math laid out in the open.

No card · no commitment · 30-day guarantee once you subscribe

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