Most companies sit on thousands of contracts and have no real handle on what is inside them: which terms they agreed to, which are weak, how one supplier's deal compares to another. Reading, comparing, and improving them is slow manual work, so it mostly does not happen, and money quietly leaks through terms nobody revisits.
A proof of concept, built solo in a couple of days, for what AI can do with a company's whole pile of contracts, in one tool. It reads each contract and extracts the key fields, sorts them into archetypes, and suggests a strategy for each based on what it found. Then it goes a step most contract tools skip: it matches your existing terms against a library of best-in-class clauses and redrafts, proposing stronger language that is realistic for your situation, so an old contract becomes a better one. A light pipeline then tracks the updated versions you send back to suppliers. It is a demonstration of the shape, not a production system.
Extract
Read every contract, including messy scanned ones, and pull the key terms and fields into a structured, comparable form.
Segment into archetypes
Sort the contracts into archetypes by type and shape, so similar agreements can be reasoned about together instead of one at a time.
Strategize per archetype
For each archetype, and from the fields it pulled out, suggest the strategy worth taking on those contracts.
Redraft from a best-in-class library
Match the existing terms against a library of best-in-class clauses and propose stronger, realistic replacements, overlaying better language where it fits so an old contract turns into a better one.
Track with suppliers
A simple pipeline keeps tabs on the updated contracts sent back to suppliers, so the improvements actually land instead of sitting in a folder.
A proof of concept, framed as one
This was a two to three day build to show what AI could do across the whole contract lifecycle, not a production system. The point was the shape of the idea, extract to strategy to redraft to tracking in one tool, not scale or hardening. Calling it what it is keeps it honest.
AI proposes, a person decides
On the redrafting, the model never asserts a final term. It suggests stronger clauses from a best-in-class library that are plausible for your situation, and a person chooses. On legal language, a suggestion you can accept beats an answer you have to trust.