Contract Reviewanalyze a contract with AI
Upload a contract - the AI checks the terms, flags risky clauses, and explains complex wording in plain language.
How can I help?
Ask me anything
Works right in the browser
All payment methodsReady-made prompts
CV for a vacancy
Build a CV for the vacancy I send you: reword my experience around their requirements, give achievements with numbers, add a skills block drawn from the vacancy text. No generic phrases like "responsible and driven".
Cover letter
Write a cover letter for the application: why this company specifically, which part of my experience solves their problem, one concrete result with a number. Up to 1200 characters, no flattery.
Interview practice
Run an interview with me for my role: ask questions one at a time, and after each of my answers go through it and offer a stronger version.
About weaknesses
Help me answer the question about weaknesses in a way that is honest and does not sink my application. Give three options for different kinds of job.
Review a contract
Go through the contract: list the risky clauses, explain what each one means in practice and suggest alternative wording.
Examples created by our users
AAnnaMarketer I built a CV for one specific vacancy: reworded my experience around their requirements, gave achievements with numbers. They called me in two days later.
RRomanDeveloper I practised the interview: questions one at a time, with each of my answers reviewed. In the real interview I did not freeze on the weaknesses question for the first time.
SSvetlanaFreelancer I check client contracts before signing. One time it flagged payment terms of "within 90 days" - we rewrote it before signing.
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What does AI check in a contract?
The AI reviews the document like a lawyer - catching what you might have missed.
Risky clauses
Penalties, fines, one-sided termination - anything that could hurt you.
Ambiguous wording
Terms that could be interpreted against you.
Missing clauses
What's usually spelled out but was left out of your contract.
Legal compliance
Checking against contradictions with current law.
Balance between parties
Whether the terms are fair to both sides of the contract.
Plain-language summary
Legal text translated into plain English.
How to check a contract
- Step 01
Paste the contract text
Copy the document into the prompt field - whole, or section by section.
- Step 02
Get a breakdown
The AI highlights the key terms and flags risky clauses.
- Step 03
Walk through the risks
Ask about each clause - what it exposes you to, and how to reword it.
- Step 04
Agree on the edits
Discuss the notes with the other party or a lawyer.
What our users say
Real reviews from our Telegram community
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Answers to questions
Describe the task - document type, topic, structure and length requirements - and the AI generates a result in seconds. The platform has 9 models: ChatGPT, Claude, DeepSeek, Gemini, Kimi, Grok, Llama, Qwen, and Nano Banana. For business documents, we recommend Claude - it produces a clear structure. ChatGPT is great for creative tasks.
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What an AI model catches in a contract - and what it doesn't
AI contract review answers one question: where in the text are the terms that will work against you. The model reads the whole document at once, holds every clause in mind simultaneously, and catches what gets lost when you skim it - a reference in clause 9.3 to an appendix that doesn't exist, a deadline counted from an event with no date attached, a penalty written in for only one side.
What AI doesn't do: it doesn't replace a lawyer in a dispute, it doesn't know your correspondence with the other party, and it doesn't check their solvency. It works with the text, not the situation. Its sensible role is the first read-through - a couple of minutes to get a risk map, then take that map to a lawyer or into negotiations without burning their time on the obvious stuff.
Why it's noticeably faster than reading it yourself
A fifteen-page contract takes a person forty minutes to read, and by the end they've forgotten the beginning. An AI model compares clause 12 against clause 3 without getting tired, and the usual traps - a one-sided termination right, auto-renewal, jurisdiction in a city that isn't yours - surface right away, not after the money has already changed hands.
How to ask so the review actually helps
"Check this contract" gets you a summary. A useful answer comes from giving the model your position and your goal.
- Say which side you're on. "I'm the client," "I'm the contractor," "I'm the tenant" - this decides which clause counts as a risk and which one protects you.
- Name what actually matters to you. Deadlines, the acceptance process, liability for delays, the right to walk away unilaterally - the model will prioritize instead of handing you a flat list of thirty remarks.
- Ask for quotes. "For every risk, give me the clause number and the exact wording" - that way you can check the answer instead of taking it on faith.
- Ask about gaps separately. A missing clause is more dangerous than a badly written one: the contract might simply have no termination procedure, no late-payment liability, no confidentiality terms at all.
- Ask for replacement wording. Not "this clause is bad" but "rewrite it like this" - that's what actually goes into a redline you send back.
What's always worth checking
The subject of the contract - is it described precisely enough that both sides will read it the same way six months from now. The price - fixed, or can it be raised unilaterally. Acceptance - is there a deadline after which silence counts as approval. Liability - is it symmetric. Termination - can you walk away, and at what cost. Jurisdiction - whose region does a dispute get heard in.
Which contracts people bring in most often
AI contract checking works the same way on any text, but the typical traps differ by contract type. In a works contract, it's vague acceptance terms and no deadline for raising objections. In a lease, it's how rent indexing works and the terms for early exit. In a services agreement, it's a scope described so broadly it covers almost anything. In a supply contract, it's the moment risk transfers and the return process for defective goods. In an employment contract, it's the probation period and bonus terms that in practice leave the bonus entirely at the employer's discretion.
After the review: what to do with the results
A list of risks doesn't change anything by itself - what matters is what it turns into.
- Split the findings into blockers and nice-to-haves. Out of twenty points, usually only three or four are non-negotiable; trying to fix everything turns the negotiation into a month of back-and-forth.
- Put together a redline. Ask the AI model to format the changes as "clause - current wording - proposed wording" - that's a document you can send straight to the other party.
- Run the next draft through again. When the other side sends back their edits, re-checking the contract with AI is cheaper than reading it line by line - the model shows you what actually changed in meaning, not just in text.
- Keep the review. Six months down the line, if there's a dispute, it helps to remember which risks you accepted knowingly.
Different models give you a different read
All the models are available on one subscription, and it shows on a contract. Claude holds a long document together more carefully and references clause numbers more precisely - good for that first full read-through. ChatGPT is stronger at rewriting: it's better at proposing concrete replacement wording for disputed clauses. It's worth running the same document through both and comparing - a disagreement between them usually points straight at the clause worth raising with a lawyer.
Limitations worth keeping in mind
An AI model analyzes text, not case law in your region, and it can't guarantee a given wording will hold up in an actual dispute. It doesn't notarize anything and takes no responsibility for the outcome. Checking a contract against Russian law with AI is a way to catch the obvious - not a legal opinion from a qualified professional.
One more thing, on data: before you upload anything, it's worth stripping out personal data and commercial details the review doesn't actually need - account numbers, passport details, exact sums, anything that doesn't affect how the terms get evaluated.
