How to Build a Contract Playbook an AI Can Actually Enforce

Your playbook tells a reviewer what position to take. It rarely tells them where to look.

That works when the reader is someone on your team who already knows payment terms get changed in the order form and not in the master agreement. Software does not know that, and neither does a new hire in week two. If you are running a playbook across hundreds of files a month, every entry has to carry the detection step along with the position.

Run your entries past the confused colleague test

Anthropic's prompting best practices has a rule worth borrowing. Show your instructions to a colleague with minimal context on the task and ask them to follow it. If they would be confused, the model will be too.

Put your playbook through that and a lot of entries fall over.

"Seek mutual limitation of liability" reads fine to someone who has negotiated forty of these. To anyone else it does not say which document to open, what counts as a miss, or what to do when the other side pushes back.

The part your entries are missing

Your entries probably already carry a standard position, a fallback, and a point where the file goes to someone senior. That is the usual shape of a playbook and it holds up fine for a person who knows the paper.

Add one more line to each entry: where to look.

Name the sections. Name the attached files. If service credits sit in an exhibit, say so in the entry. If insurance requirements live in a schedule that shows up separately from the agreement, say that too. The renewal notice window tends to be three lines buried at the end of a section about something else, and often that is the only place the number appears. Write it down inside the entry, next to the position, and not in a separate onboarding deck.

Entries with no detection step tend to get applied to whatever the reviewer happened to open. Entries with no fallback are worse, because every deviation goes to a person and you end up with a slower version of the queue you already had.

Numbers beat adjectives

"Reasonable notice" cannot be checked by anything. "Thirty days or more" can. Same for payment terms, cure periods, renewal windows, and caps.

Anywhere your playbook says adequate, appropriate, or standard, somebody on your team is carrying a number in their head. Get it out of their head and into the entry.

You will not have a number for everything. Governing law, insurance minimums, and approved carve-outs are list problems, so write the list and keep it inside the entry instead of in an approvals memo nobody opens.

Stop trying to cover everything

Inbound paper usually throws more issue types at you than your playbook has entries. Closing that gap by writing two hundred more entries gets you a document nobody maintains.

Try this instead. Keep a running log of what your reviewers flag by hand with no entry behind it, file name attached. At the end of the month, look at what showed up three or more times and write entries for those. The playbook then grows out of what actually came through the door, and you never burn an afternoon on a scenario that appears once a year.

Track overrides entry by entry

Nobody wants to spend Thursday afternoon checking whether entry 14 got applied to file 300 the way it got applied to file 3. That part is worth handing to software, and it is what goHeather's AI contract review workflow is for. It will not write your positions and it will not decide what you can live with. It applies the entry you wrote and shows you where the document did not match.

A useful early signal on whether an entry is written well is how often your reviewers override the call it produced. The NIST AI Risk Management Framework playbook suggests keeping statistics on what operators do downstream, including system overrides, as part of measuring human oversight of an AI system. Same idea, one level down. Log overrides by entry instead of only in aggregate.

When your team overrides an entry half the time, the entry is usually the thing that needs fixing. It never said clearly enough what it meant, and rewriting it is a short job compared with arguing about whether the software works.

Where to start

Take the ten entries your team hits most often. Add the detection step to each one, put a number behind every adjective, and leave the rest of the playbook alone until your override log tells you what to fix next.

Ten entries that software can actually apply are worth more than eighty that only make sense to the person who wrote them.

Try goHeather free and run one rewritten entry against a live file to see what comes back.

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