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Purpose-built AI contract review

AI Contract Review Software Built for
Businesses, Not Law Firms.

ChatGPT will answer confidently. It won't tell you it might be wrong. Kontractually flags low-confidence clauses, enforces your rules on every contract, and logs every decision for the day someone asks who approved what.

Every suggestion is traceable to a source
No AI output ever applied automatically
Audit trail on every decision, every time

7-day free trial. No credit card required. Cancel anytime.

The problem with general AI

You've already tried pasting contracts into an AI. Here's what you didn't get.

You copied the contract. You pasted it in. You asked "what should I watch out for?" You got an answer. It looked thorough. It was confident. But you had no way to know:

  • Whether those clause interpretations were accurate or made up
  • Whether the AI applied your company's standards or its best guess
  • What version of "your rules" it was using
  • Whether that answer would be the same tomorrow
  • Who to point to if the clause came back to bite you

That's not a knock on AI. That's what general-purpose AI tools are built to do - answer questions. Not enforce your standards. Not log your decisions. Not give you a paper trail.

The clause you missed isn't always obvious. It's the auto-renewal buried in section 14. The uncapped liability in the indemnification paragraph. The IP assignment clause that hands your deliverables to the client. Those aren't edge cases. They're the contracts that come back.

"The contract you don't review properly is the one that shows up in your inbox 18 months later."

Head to head

What you get with Kontractually vs a raw AI tool.

There's nothing wrong with using AI. The question is whether the AI is doing a job, or just answering a question.

Feature
LLMs
Kontractually
Reviews against your specific rules
No - applies general best guesses
Yes - enforces your playbook, every time
Tracks which version of your rules was used
No
Yes - reviews locked to playbook version
Verifies its own citations
No - may cite documents that don't exist
Yes - citations validated against your KB
Shows confidence level on each finding
No - presents everything equally
Yes - 0-100% confidence on every output
Requires human approval before changes apply
No
Yes - nothing changes without you deciding
Full audit trail of who decided what
No
Yes - logged by user, timestamp, decision
Exports professional redline documents
No
Yes - tracked-changes Word documents
Sends contracts for e-signature
No
Yes - sign directly after review
Obligation tracking (renewals, deadlines)
No - contract is forgotten once you close the tab
Yes - live dashboard, email reminders, conflict detection
Keeps your contracts inside your org
Contracts leave your environment
Yes - org-isolated, DPA tracked
Predictable monthly cost
Per-token (scales with volume)
$99-$499/mo flat

Based on publicly available information. Verify with each vendor before purchasing.

What purpose-built means

What purpose-built AI contract review software actually means.

Every capability below is live in the product today.

Your rules, consistently applied

Every contract reviewed against the rules you set

Build a playbook once - the clauses you require, the ones you prohibit, the risk thresholds you accept. Every contract gets reviewed against those exact rules. Not what the AI thinks is reasonable. Your standards. And because playbooks are versioned, a review from January is always traceable to the January version of your rules - even if you updated them in March.

Three levels of fallback, pre-written

For every rule, define three negotiation positions: what you need, what you'll accept, and your walk-away line. When the AI flags a deviation, it surfaces the right fallback language for your situation - not generic suggested edits.

AI that knows when it's uncertain

Confidence scoring on every output

Every clause extraction, risk analysis, and suggested edit comes with a 0-100% confidence score. Low-confidence findings are visually flagged. If extraction confidence drops below 50%, the contract is blocked from processing with a clear explanation. You'll always know the difference between the AI being confident and the AI guessing.

Citations you can verify

Every AI recommendation links to the specific Knowledge Base document that grounded it - document name, section, relevance score, and a direct link to the source. If the AI references a document that wasn't in its context, confidence is automatically reduced and a warning is shown. No fabricated citations. No phantom standards.

Grounding badges on every analysis

Each analysis carries a visible indicator: KB Grounded (3+ citations), Partial KB (1-2 citations), or Ungrounded (no KB context). You always know the basis for what you're reading.

Accountability that holds up

A full audit trail, not just a chat history

Every action is logged: who uploaded the contract, when the review started, which playbook version was used, which suggestions were accepted or rejected, who made each decision, and when each export happened. It's a queryable, compliance-ready log - because the question isn't just 'what did the AI say?' It's 'who approved this, and when?'

Human approval on every suggestion

No AI suggestion is ever applied automatically. Review the original clause, the AI's finding, the citation, and the suggested text. Then decide: Accept, Reject, or Modify. Your decision is recorded with your name, the timestamp, and any notes you add. The AI recommends. You decide.

A workflow, not just a tool

Review, redline, and sign in one place

After review, export a professional Word document with tracked changes, an executive summary, and clause-by-clause findings - ready to send to a counterparty or outside counsel. Then send the contract for e-signature directly from Kontractually without switching tools.

Obligation tracking - renewals, deadlines, conflicts

Contracts don't end at signing. After every review, Kontractually automatically extracts all dates, renewal windows, and recurring commitments into a dedicated dashboard. Obligations are colour-coded by urgency, email reminders fire at 7, 3, and 1 day before a due date, and a conflict detection check surfaces clashing clauses across different contracts with the same counterparty. Nothing buried in a signed PDF gets missed.

Your contracts stay yours

Every contract, analysis, and audit log is isolated to your organization. DPA acceptance is tracked per user with version history. PII is redacted in logs. Sensitive audit data is encrypted at rest. When you paste a contract into a general AI tool, that text leaves your environment. Here, it doesn't.

Built for the long run

Predictable pricing that scales with your business

Starter ($99/mo), Professional ($249/mo), Business ($499/mo). Flat monthly pricing with defined contract limits - not per-token billing that spikes when you upload a 40-page services agreement.

No configuration required to start

Upload a contract. Select a playbook (or use one of the built-in templates). Start the review. The first useful output takes minutes, not weeks of implementation.

Who this is for

Not for law firms. For the businesses that sign the contracts.

Kontractually is not a tool for lawyers. It's for the CEO who signs the subcontractor agreement, the COO who approved the SaaS MSA, and the operations director who handles vendor contracts because no one else will.

At $5M to $80M in revenue, you're signing real contracts with real consequences. You're not sending all of them to outside counsel because that costs money you don't want to spend on routine reviews. And you're not eyeballing them because you've had a clause come back before - or you know someone who has.

Kontractually is the thing between "eyeballing it" and "billing hours."

FAQ

Questions about Kontractually vs AI tools.

More questions? Email us.

ChatGPT is a capable general-purpose tool, but contract review requires more than pattern recognition. It needs verifiable citations, rule enforcement specific to your company, audit trails for compliance, and consistent application of your standards across every document. General AI tools don't have any of those things. They give you an answer - Kontractually gives you an accountable process.

The Claude Legal Plugin offers slash commands for contract review inside Claude Cowork. It's a useful wrapper on a capable model. What it doesn't have: citation verification against your own documents, confidence scoring, playbook version history, an audit trail of individual decisions, redline export, or e-signature. It's a brain. Kontractually is a brain with rules, memory, and a paper trail.

Four layers. First, a Legal AI Preamble on every call instructs the AI to flag uncertainty and never fabricate citations. Second, citations are verified against the Knowledge Base documents actually provided - hallucinated citations trigger a confidence reduction and a warning. Third, confidence scores surface uncertainty rather than hiding it. Fourth, every output requires human approval before anything changes.

Yes. Every contract, analysis, and audit log is isolated to your organization. DPA acceptance is tracked per user. PII is redacted from system logs. Sensitive audit data is encrypted at rest. When you send a contract to a general AI API, it leaves your environment with no data residency guarantees. Here, it doesn't.

Enterprise CLM platforms are built for legal departments with dedicated teams, implementation budgets of $50K+/year, and months of onboarding. Kontractually is built for companies with 0-1 in-house lawyers who need a working review process today. You can upload your first contract and get a review in under 10 minutes.

Outside counsel charges $300-$800/hour for contract review. A standard commercial agreement takes two to four hours to review properly. Kontractually's Professional plan is $249/month - less than the cost of one reviewed contract at a law firm, for unlimited use all month.

Know what you're signing before you sign it.

You don't need a lawyer for every contract. You need your rules applied to every contract - with a paper trail that proves it.

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