Use case

Know what's actually in the contracts you've already signed

AI contract analysis is the job of finding out what an organisation actually agreed to, months or years after the negotiation ended and the signed contract went into a folder nobody has opened since. Most businesses read a contract closely exactly once — before signing — which is how a price-increase clause goes unchallenged, an auto-renewal locks in another term nobody wanted, and a notice period gets discovered two weeks too late to use it. A knowledge system built for this reads every agreement once, extracts the terms that carry consequences, and can answer a question across the whole portfolio that no single contract manager can hold in their head.

· Reviewed by Artur Horimoto, Founder & CEO

Why the filing cabinet is where the risk hides

A contract usually only gets reopened when something has already gone wrong: a supplier raises prices and someone finally checks what the agreement actually permits, a customer tries to walk and someone finally reads the termination clause, a dispute lands and someone finally looks for the liability cap. By then, the honest answer to "what does this contract allow" is buried in a PDF that hasn't been open since the signature page was signed.

The same pattern repeats across a whole portfolio. A renewal auto-extends because nobody set a reminder before the window that would have stopped it closed. A price mechanism activates on schedule and nobody caught how it was defined until the new invoice arrived. A notice period turns out to run ninety days, not thirty, and that gets discovered with two weeks left on the clock. And if someone asks the reasonable question — which of our vendor agreements contain an exclusivity clause, or allow the other side to assign the contract without our consent — the honest answer, in most organisations, is that nobody knows without reading every agreement again from the top.

The manual way vs. the automated way

The manual process is what most businesses are already running, even if nobody would describe it that way. A contract gets signed, filed in a shared drive or a physical cabinet, and maybe logged in a spreadsheet if whoever closed the deal remembered to do it. Finding out what it actually says later means opening the document and reading it again, assuming anyone still remembers which folder it landed in.

The automated version reads every contract in the stack once and turns the terms that carry consequences into a structured register — one entry per contract, queryable across the whole portfolio. A question that would have meant re-reading forty agreements gets answered in the time it takes to type it, with the source clause and page attached to the answer rather than asserted from memory.

Manual Automated
Where the terms live Inside PDFs nobody reopens A structured register, per contract and portfolio-wide
A portfolio question ("which contracts have X clause") Re-read every agreement individually Answered once, across every contract at once
Renewal and notice dates Remembered, if at all, by whoever negotiated the deal Tracked and flagged before the window closes
Deviations from your own standard terms Caught only if someone happens to notice Flagged automatically against your standard positions
Verifying an answer Trust whoever read it last Every extraction cites the clause and the page

What gets extracted — and what still needs a lawyer

The terms worth pulling out of a contract are the ones that carry a consequence if they're missed, not every clause in the document. In practice that's a fairly stable list: renewal and notice dates and the mechanism that triggers each one; price terms — fixed increases, indexed increases, most-favoured-customer language; liability caps and the carve-outs that sit around them; termination rights, both for cause and for convenience, and the deadlines attached to exercising them; exclusivity and non-compete commitments; and data-handling or confidentiality obligations — what can be shared, with whom, and for how long.

None of this is legal advice, and it does not replace a lawyer reading a contract that actually matters to a live decision. What it replaces is the alternative most organisations are really running today, which is nobody reading the contract again at all until a dispute forces the issue. Every extraction is built to cite the clause and the page it came from, so a person can open the source passage and verify it before relying on it for anything — the human-in-the-loop principle applied to a task where a wrong reading has real cost. The system's job is to surface the right passage fast and point straight at it; deciding what that passage means for a specific negotiation stays with a person, and with counsel where it matters.

Building the obligations register from a pile of PDFs

The starting point is whatever exists today — signed PDFs, scanned paper contracts, a shared drive nobody has fully indexed. The system reads each one once and pulls the consequence-bearing terms into a shared structure, so a portfolio-wide question gets answered across every agreement at once instead of one document at a time. "Which of our supplier contracts allow a price increase without our sign-off." "Which agreements carry an exclusivity clause tied to this region." "Which contracts are we currently obligated under to keep a vendor's data confidential after termination." Questions like these are unanswerable from a filing cabinet without reopening every file; they're a lookup once the register exists.

Building it once is the bulk of the work. Keeping it current after that means reading each new contract as it's signed, the same way, so the register never drifts back into a pile of unread PDFs.

Comparing an incoming draft against your own standard positions

The same extraction work runs in the other direction on a contract that hasn't been signed yet. When a new draft comes in for negotiation, the system checks its terms against the positions the organisation has actually taken in past deals — the liability cap it typically holds to, the notice period it usually insists on, the data clauses it doesn't waive — and flags where this draft's language departs from that pattern. The person negotiating spends their attention on what changed rather than re-reading a lengthy document line by line to find it, and nothing gets signed on the strength of a skim.

The calendar problem — catching a notice window before it closes

Most of the money in contract management is calendar money, not clause money. The renewal that should have been renegotiated didn't get flagged in time. The notice letter that needed sending before a deadline went out two weeks after the window closed, or never went out at all. The price review date came and went unchallenged because nobody was watching for it. A standing AI agent that holds every renewal, notice, and review date extracted from the whole portfolio can raise an alert with real runway to act — not the week after the window has already shut, which is when most of these get noticed today.

What it connects to

An obligations register is only useful if it reaches the people who act on it. Typically that means:

  • Wherever contracts are filed today — a shared drive, a document management system, an inbox full of signed attachments — read directly, rather than requiring every contract to be re-uploaded somewhere new.
  • Your calendar or task tool, so a renewal or notice deadline becomes a real entry with an owner attached, not a value sitting in a spreadsheet column nobody watches.
  • Whoever owns contract review and negotiation, whether that's in-house counsel, an outside legal team, or an operations lead, so a flagged deviation or an approaching deadline reaches a person who can actually act on it.
  • Your CRM or vendor management system, when contract terms need to stay consistent with what's recorded there.

This is a narrower job than general document review — it isn't about summarising a stack of files, it's about knowing exactly what your organisation is obligated to do, and by when, because of what's already inside the contracts you signed. Where the contracts in question are the core business of a firm rather than its vendor paperwork, the same approach extends into a broader knowledge system built for legal work.

Frequently asked questions

Does this replace our lawyer or in-house counsel?

No. It reads contracts and surfaces the terms that carry consequences, with the clause and page cited for every extraction, but it doesn't render a legal opinion. A lawyer still reviews anything that matters before you act on it — the system's job is to make sure the right passage reaches them fast, not to replace their judgment.

What if it misreads a clause?

It will, occasionally, on unusual or ambiguously worded language — no automated reading is perfect, and neither is a rushed human one. That's why every extraction cites its source: a person checks the cited clause before relying on it, rather than trusting a summary on faith.

How does it handle contracts that were never digitised?

Scanned or photographed paper contracts get read the same way native PDFs do — the extraction step includes reading the scanned image, not just searchable text. A filing cabinet full of paper works as an input as long as it's been scanned once.

Does it work with contracts already stored in our own systems?

In most cases, yes. We connect directly to shared drives, document management systems, and email archives that expose an API, and build a workable route in for the ones that don't. Bring the list of where your contracts actually live to the first call.

What does it cost?

It depends on how many contracts are in the portfolio and how much of the deviation-checking and calendar logic the system needs to own. A register built from an existing contract stack sits at the lower end; ongoing draft comparison and portfolio-wide alerting across a large vendor book sits higher. Every engagement gets a clear price agreed before any build work starts.

Bring us the folder of contracts nobody has reopened since they were signed. In a free 30-minute strategy call we'll tell you honestly what's extractable, what still needs a lawyer's eyes, and what a build like this would take.

Automate this job

Walk us through how it works today. We will map the build and give you a clear price before anything starts.

Free 30 minutes. No pitch deck. You leave with a plan either way.