Every Contract, Read and Searchable
AI contract intelligence reads every agreement a company has signed and turns the pile into a searchable table: renewal dates, change-of-control clauses, pricing and escalators, auto-renew traps, and the obligations buried on page nine. It works in diligence and inside the operating company afterward. Scoped per firm.
AI contract intelligence solves a problem every company has and almost none can see: nobody has actually read all the contracts.
The agreements are real, binding, and scattered across inboxes and drives. The expensive parts hide in clauses no one has looked at since the day they were signed. A search box that worked on all of them would change how the company runs, and most companies do not have one.
This is an example of custom work, never a product off a shelf. We build it to a company's own contract types and to the questions it actually needs answered.
By Dr. Leigh Coney, Founder of WorkWise Solutions
Nobody Has Read Them All
Every company is, legally, the sum of the contracts it has signed. In most operating companies, no single person can tell you what those contracts actually say.
The Contracts Are Real and Unread
A mid-size company has thousands of agreements: customers, suppliers, leases, employment, licenses. They sit in inboxes, drives, and filing cabinets, binding whether or not anyone remembers them.
The Surprises Live in the Clauses
An auto-renew that quietly locked in another year. A change-of-control clause that lets a key customer walk the day a deal signs. A price that was meant to step up and never did. Each is cheap to find and expensive to miss.
You Cannot Search a PDF
Finding every contract that renews next quarter means a junior person opening files one at a time. So it does not get done, and the renewal arrives as a surprise instead of a decision.
From a Pile of PDFs to a Table You Can Query
Sortable, Filterable
Effective dates, terms, renewal and notice windows, and every auto-renew, in one table you can sort and filter instead of reading file by file.
The Deal Clauses
The clauses that decide a sale or a financing, found across the whole stack before the other side's lawyers find them for you.
What You Owe, What You Get
Rates, escalators, minimums, service levels, and the commitments the company made, mapped to the counterparty and the document.
Search That Works
Ask a question in plain words, such as which supplier contracts cap liability below cost, and get the contracts and the clauses back, each with the source page.
Ingest, Extract, Verify, Use
Ingest
Point it at the contract repository, the shared drives, even the scanned PDFs. It reads them, OCR included, so paper does not get a pass.
Extract
The model pulls terms, dates, clauses, and obligations into a structured record for each agreement, with a link back to the exact page.
Verify
Each extraction carries a confidence score, and the ones that carry money or risk get a human check. You see the source, not just the answer.
Use
A searchable table for the operating company day to day, and a clean clause summary for the next diligence or financing.
Build This If...
A company that cannot answer what renews next quarter without a fire drill.
A buyer who wants change-of-control and assignment risk surfaced before close, not after.
An owner consolidating contracts across a roll-up's add-ons into one view.
A general counsel or finance lead who knows the obligations are in there somewhere.
A company preparing for a sale that wants the contract data room clean and complete the first time.
A team renegotiating with a large supplier that needs every related agreement in one place.
The contracts a company signs are, in a legal sense, the company. Yet in most operating companies no one person can tell you what is in all of them. Reading them is slow, unglamorous work. It is also where a surprising amount of risk and money sits, found once and searchable from then on.
Contract Intelligence FAQ
What does it extract?
Parties, effective and expiry dates, renewal and notice windows, auto-renew terms, pricing and escalators, minimums, change-of-control and assignment clauses, liability caps, exclusivity, and the obligations each side owes. Every field links back to the exact source page in the original document.
How accurate is it?
Each extraction carries a confidence score, and the clauses that carry real money or risk are routed for a human check before anyone relies on them. You always see the source text next to the extracted field, so verification takes seconds. The goal is a reviewer confirming the answer, not re-reading the contract.
Is it off the shelf?
No. This is an example of custom work, built to a company's own contract types, repositories, and the questions it needs answered. A generic extractor trained on someone else's paper will miss the clauses that matter to yours. We build on Microsoft 365 Copilot, ChatGPT Enterprise, Claude, or Gemini, and work on your stack.
Where does it help most?
Two places. In diligence, where change-of-control, assignment, and pricing terms decide value and need to surface before close. And inside the operating company afterward, where renewals, obligations, and pricing live for years and quietly cost money when nobody is tracking them.
Find Out What You Signed
This is an example, not a catalog item. Start with the Portfolio Value-Creation Diagnostic, or book a call to scope a contract read across one company or a whole portfolio. Scoped per firm.
Where It Leads
AI Diligence
The deal-side version: contract risk surfaced as part of a per-target diligence read before the IC vote.
Post-Merger Integration
After close, the same contract map feeds integration: which agreements to keep, renegotiate, or let lapse.
The Build Door
Contract intelligence is one example from the Build gallery. See the rest of what custom work looks like, then scope yours.
Portfolio Value-Creation Diagnostic
Before the build, the diagnostic: where a company's risk, cash, and hours actually sit.