AI for redlining supplier contracts

Redlining a supplier contract is where procurement time actually goes: turning "we don't accept uncapped liability" into replacement wording, typing it into the supplier's Word file as a tracked change, and doing that again for the next twenty suppliers on slightly different paper. goHeather handles that part: it reads the supplier's document, checks it against the positions you have written down, drafts a redline for each problem, and puts it in the document as a tracked change you accept or reject one at a time.

Where the time goes

A supplier sends an MSA on their template. Someone has to find the clauses that miss your standard, work out what you would accept instead, write that wording, and send a marked-up file back. Two category managers doing this the same week will usually redline the same clause two different ways.

CIPS, in its procurement negotiation guide, puts preparation up front: without thorough preparation, including research, knowing your objectives, understanding the concessions and having a BATNA, the negotiation is unlikely to reach the optimum outcome. That is the material a redline runs on, and in a busy team it usually only exists in people's heads.

Step one: your positions go in a playbook, fallbacks included

In goHeather a playbook is a numbered list of rules. Each rule has a description, which is your primary position, and under Advanced options you get Fallback positions, Unacceptable deviations and Guidance notes. The app's own placeholder for a fallback reads "We would accept 90 days extra notice of termination beyond our primary stance." So the playbook holds your position, your fallback and your walk-away. Share it with the team and everyone redlines from the same positions.

You do not have to type it all in. "Generate from a contract" takes one of your standard supplier agreements and drafts structured rules from it in about a minute. The app calls that "AI-drafted, you approve." A generated playbook is a first pass. Read it and edit it before you trust it on a real supplier contract.

Step two: one click, and the review sets itself up

Open the supplier's contract and click Review with AI. It asks you nothing up front. It reads the document and comes back with a setup card already filled in: a scope line, both parties identified with your side preselected, the governing law read off the document, a four-level review depth set to Issues by default, a playbook picker defaulting to No playbook, and a drop zone for reference documents. Drop the pricing exhibit or quality addendum there if it is a separate file; anything named but not uploaded is not in the review.

Pick your procurement playbook. One MSA in goHeather's own account was run against five different playbooks and came back with 17, 16, 8, 8 and 8 findings. The playbook decides what counts as a problem. Click Run full review; it takes a few minutes, and the app says so.

Step three: each finding carries its redline

The review opens in a two-panel workspace, findings on the left, the supplier's contract in a full document editor on the right. Findings are grouped High, Med and Low and named as the problem, for example "Data privacy indemnity is uncapped".

Open one and you get the original clause with its section number, the suggested redline with the clause rewritten in full, a plain-English note on why the wording is a problem and which side it hurts, and the actions: Flag, Add to playbook, Dismiss, Apply redline, plus Mark as unacceptable for anything that breaks a walk-away rule.

Apply redline writes the rewrite into the document as a tracked change, attributed to you, with accept and reject controls in the editor. Microsoft's own Word guidance on tracked changes says to select Accept or Reject and "Repeat until you've reviewed all changes in your document." goHeather works the same way. Progress shows as findings decided, "0% reviewed, 0/9", and the chat stays gated until you have accepted or dismissed every one: "9 review findings still need a decision." Nothing lands in the supplier's paper until you put it there.

That is the practical difference from a general chat tool. Claude or ChatGPT will read a supplier contract you paste in and tell you what looks off. It will not hold your fallback and walk-away positions, anchor each finding to a clause number, write the change into the file as a tracked edit, or record which findings you decided across a hundred suppliers.

What comes out, and what stays yours

Export gives you the redlined contract as a Word file, so the supplier gets a normal marked-up DOCX. The Legal Summary memo, what you want changed and why, downloads as DOCX too.

Be clear on the edges. The suggested redline is drafting language. Whether to accept it is your call. Findings are proposals, and a person closes every one. And when you grant the same fallback for the third time, Add to playbook on that finding turns the decision into a rule for every later contract.

If you run inbound supplier paper and redlining is where turnaround slows down, try goHeather's AI contract review and redlining workflow on your next supplier MSA. Then read how to stop rewriting the same fallback clause every time.

This is legal information, not legal advice; consult a lawyer for legal advice.