AI contract review that reads like your sharpest counsel

AI contract review is software that reads a contract against your company's playbook, flags the risky clauses, and returns a redlined Word document instead of a wall of ChatGPT text.

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Master Services Agreement

NovaCrest, Inc. · Mutual

Reviewing

1. Term. This Agreement begins on the Effective Date and continues for an initial term of twelve (12) months, and governs all Order Forms executed hereunder.

8.2 Limitation of Liability. In no event shall either party's aggregate liability exceed five (5) times the fees paid one (1) times the fees paid in the prior twelve (12) months.

11.4 Auto-Renewal. This Agreement renews for successive terms unless either party gives thirty (30) days' sixty (60) days' written notice before the then-current term ends.

5.1 Data Processing. Processing of personal data shall comply with applicable law and the Data Processing Addendum attached as Exhibit B.

12. Governing Law. This Agreement is governed by the laws of the State of Delaware, without regard to its conflict-of-laws principles.

What it is

What does AI contract review actually do?

AI contract review software reads a contract end to end, ranks the clauses that carry real risk, and redlines each one against the standards your company has already set.

¶ 8 · Limitation of LiabilityMust fix

In no event shall either party's aggregate liability exceed five (5) times the fees paid the total fees paid in the prior twelve (12) months.

It reads every clause against your standards.

AI contract review software reads a contract end to end and compares each clause to the positions your company has already decided to accept. Instead of a generic summary, you get automated contract review tied to your own playbook: every flagged clause, why it matters, and the language to send back.

Must have¶ 8

Should have¶ 11

Nice to haveEx. B

It ranks issues by their importance.

Not every clause is worth a fight. Fusial sorts what it finds into must-have, should-have, and nice-to-have, so your attention goes to the terms that carry real risk.

NovaCrest_MSA.docx

5× fees1× fees

It returns redlines you can send.

The output is AI contract redlining you can actually send: a clean Word document with tracked changes intact.

Jurisdiction

Compliance

GDPR

HIPAA

SOC 2

It runs on your codified playbook.

Configure your jurisdiction, governing law, and compliance frameworks like GDPR, HIPAA, and SOC 2 once. Playbook-driven contract review then enforces those standards on every MSA, DPA, and vendor agreement that lands in your inbox, the same way every time.

How it works

Three ways software reviews a contract

The difference between a tool that summarizes and a tool that negotiates comes down to whether it knows your standards or someone else's.

Rules-based engines

The first generation of contract review software matched keywords against a fixed rulebook. It catches the clause types it was told about and misses everything phrased a little differently. It reads the words, never the meaning, so the same risk in new language slips straight through.

Generic LLM chat

Pasting a contract into ChatGPT is a real step up: it understands language and explains clauses in plain English. But it answers from a generic legal average, not your company, and returns a wall of text you still have to turn into a redline by hand.

03How Fusial works

Playbook-driven review

Playbook-driven contract review pairs an LLM's understanding with your company's codified positions. It reads each clause against the standards you've already set, flags only what conflicts, and drafts counter-language in your voice, returned as a redlined Word doc.

Comparison

Rules-based vs. generic LLM vs. playbook-driven

A side-by-side look at the three approaches to automated contract review, and why playbook-driven review is the one that produces a document you can send.

Comparison of rules-based, generic LLM, and playbook-driven AI contract review
	Rules-basedPattern matching	Generic LLMGeneric average	RecommendedPlaybook-drivenYour standards
What it reads against	A fixed keyword rulebook	A generic legal average	Your company's codified playbook
What you get back	Flagged keywords	A wall of chat text	A redlined Word doc, tracked changes intact
Adapts to your standards	No	No	Yes
Alternative to outside counsel	No	Partially	Yes, at $150 per seat

What to look for

How to evaluate AI contract review software

Six questions to ask any vendor before you trust it with the agreements your business runs on.

Does it review against your playbook, or a generic standard?

This is the single most important question. Generic tools score a contract against an industry average; playbook-driven contract review scores it against the positions your company has actually decided to accept. The liability cap that's fine for you may be unacceptable for a payments company. Make sure the tool reads from your perspective, and your perspective only.

Do you get a redlined Word document back?

A summary is not a redline. The whole point of AI contract redlining is a clean .docx with tracked changes intact, ready to send to the other side. If a tool only returns chat text you have to copy, paste, and reformat into a Word doc, you haven't automated the work. You've just moved it.

Can it handle MSA review and DPA review?

Real contract review software has to cover the agreements that actually land in your inbox. MSA review means checking liability, indemnification, and termination against your standards. DPA review means checking data processing terms against your compliance frameworks. NDAs, order forms, and vendor paper should all flow through the same pipeline.

Is it safe to upload your contracts?

Contracts are some of the most sensitive documents a company owns, so security is non-negotiable. Look for encryption in transit and at rest and a clear data-retention policy. You should be able to export everything and delete your data whenever you want. That should be a standard product feature.

Can it replace outside counsel for routine review?

For routine agreements, yes. Outside counsel runs $500 to $800 an hour. A single MSA round-trip can cost roughly $7,500 before either party signs. A good alternative to outside counsel handles the first pass in minutes and escalates only the genuinely novel questions to a human.

How fast can your team start?

Software that takes a quarter to onboard isn't solving your problem this quarter. Cal.com configured their entire playbook during signup in under three minutes. Fusial is a 3-minute setup at $150 per seat, with no token meters and no per-document fees, so the cost of reviewing one more contract is always zero.

Case study

How Cal.com replaced outside counsel with Fusial

Cal.com runs every MSA, DPA, and vendor agreement through Fusial first, using playbook-driven contract review in place of routine outside counsel.

Customer story · Cal.com

“We were losing 10 to 15 hours a week to contracts that didn't even close. Fusial cut that by at least 80%. It gave us those hours back, and gave us something we didn't know we were missing: we finally know what we're actually negotiating.”

Alexandra, Chief of Staff, Cal.com

≥ 80%Less review time

Fusial cut Cal.com's contract review time by at least 80%.

10–15 hrsReclaimed each week

Cal.com was losing 10 to 15 hours a week to contracts.

$7,500 → $150Per MSA vs. per seat

A single outside-counsel MSA ran about $7,500. A Fusial seat is $150.

FAQ

AI contract review, answered

Can AI contract review replace a lawyer?

For routine, high-volume agreements, yes. Playbook-driven contract review handles the first pass and drafts the redline. For novel, bet-the-company questions, it escalates to a human. It works as an alternative to outside counsel for the 80% that's repetitive, freeing your lawyers for the 20% that isn't.

Is it safe to upload contracts to an AI tool?

With the right tool, yes. Look for encryption in transit and at rest, and the ability to export and delete your data on demand. Your contracts should never be used to train shared models.

How is AI contract review different from using ChatGPT?

ChatGPT reads from a generic legal average and returns a wall of text. AI contract review software reads against your company's playbook and returns a redlined Word document with tracked changes. One explains a contract; the other negotiates it on your terms and hands you a document you can send.

What types of contracts can it review?

MSAs, DPAs, NDAs, order forms, and vendor paper all flow through the same pipeline. MSA review checks liability and indemnification; DPA review checks data-processing terms against your compliance frameworks. Whether the contract is your paper or theirs, inbound or outbound, it gets read the same way.

What is contract redlining?

Redlining is the process of marking up a contract with proposed edits: tracked changes that show what you want struck, added, or reworded. AI contract redlining automates that: the software drafts the counter-language in your voice and returns a clean Word doc, track changes intact, ready to send back.

How much does AI contract review software cost?

Fusial is $150 per seat per month, with unlimited contracts and redlines. There are no token meters and no per-document fees, so reviewing one more contract always costs zero. Compare that to outside counsel at $500 to $800 an hour and roughly $7,500 per MSA round-trip.

How long does setup take?

About three minutes. You configure your playbook (governing law, liability caps, compliance frameworks) during signup, and from then on every incoming contract is reviewed from your positions. Cal.com's team set theirs up in under three minutes before their first review.

Put AI contract review to work on your next contract

Drop in an MSA, DPA, or vendor agreement and get a redlined Word doc back against your own playbook. Set up in three minutes. No token meters, no per-document fees.

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See pricing or how Cal.com replaced outside counsel.