4
min. read

How to change your playbook without breaking the queue

Jeff Dutton
By
Jeff Dutton
Lawyer
Last update:
September 3, 2026

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A playbook change takes ten minutes to write. You raise the liability cap position from one times fees to two times, the doc gets a new version number, the team gets an email. What almost never gets written down is what happens to the forty contracts already in the review queue.

So each reviewer decides on their own. Ask next quarter why two contracts signed days apart landed on different terms and you get answers that disagree. Pick any two of them and you will not find a written rule saying which playbook version applied.

The update itself is the easy part

Writing the new fallback language, getting sign-off, and pushing the change to wherever your team keeps the playbook is the mechanical half of a playbook change, and it's usually fast. Best practice is to review the playbook quarterly or bi-annually, with updates triggered by shifts in regulations, company policy, market standards, or negotiation outcomes that keep showing the same pattern. None of those triggers wait for your review queue to be empty first. The hard part is what happens to the twenty, or two hundred, contracts already inside the process when the rule underneath them changes.

Pick a cutover rule before you need one

There are three honest ways to handle contracts already in flight when a playbook rule changes. Few teams sit down and pick one on purpose. They decide on their own instead, and within a week they are not applying the same rule.

Grandfather what's already cleared first pass. If a contract got its first review under the old position, it finishes under the old position. You don't reopen it because a policy changed that nobody negotiated around.

Re-run the one clause that changed, not the whole file. If a contract is still in flight, you don't need to re-review indemnity and payment terms and everything else along with it. You rerun the specific position that moved and leave the rest of the review standing.

Hard cutover by intake date. Contracts that entered the queue before a stated date and time finish under the old playbook version. Anything after runs on the new one. This is the cleanest to explain and the easiest for a first pass to apply consistently, since it doesn't ask anyone to remember what stage a given contract was at when the change landed.

Whichever one you pick, write it down as one sentence in whatever you use as a change log, tagged with the effective date and version number. That sentence is what a reviewer, or an auditor, or you in six months, checks against when someone asks why two contracts signed a week apart landed on different terms.

What happens when nobody decides

A playbook with no version control fails the same way a contract draft does. The problem has a name in one contract change management guide: orphaned versions. It recommends a centralized repository with version control and a clear current-version flag. Someone is working off a printed copy from two months ago, someone else pulled up the shared doc this morning, and a third asked in Slack and got a half-remembered answer. The outcomes look consistent on paper because everyone filled out the same form, even though different rules stand behind the answers. It's the same drift covered in how to keep contract review consistent across reviewers, except here the inconsistency comes from timing instead of training.

Where a first pass helps, and where it doesn't

Running contracts through an AI first pass helps with the part humans are worst at under deadline pressure: applying the exact version you point it at, consistently, no matter how tired the reviewer is or how long ago they read the change email. Tell it that contracts entering the queue after Monday at nine run against playbook v4, and it applies v4 to every one of them without drifting back to old habits. What it can't do is choose your cutover rule, or know that contract 38 already got a verbal okay from someone in a meeting nobody logged. That decision, and that record, stay a human job. The software applies the version you told it to apply.

Before your next playbook update ships, decide which of the three rules applies and write it down next to the version number. It's a five-minute conversation that heads off the argument that happens later, the one where two people are each sure they followed the rules, just different ones.

Try goHeather free if you want to see how a first pass handles a playbook update on your own queue before you decide how to roll one out.

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

About the author

Jeff Dutton is a lawyer who advises on technology, corporate, privacy, commercial, employment and real estate law.

Jeff founded his own small law firm, Dutton Law, in 2016 (and merged it with a larger firm in 2019). Before that, Jeff was a prosecutor and a commercial law lawyer at a national boutique law firm.

Jeffrey is a frequent lecturer on legal matters and has been published in newspapers and trade journals. In addition, Jeff was the editor and co-author of a leading employment law text for lawyers for many years.

Education:

Western University, BA (2009)
University of Ottawa, Faculty of Law, JD (2012)

Jeff Dutton
By
Jeff Dutton
Lawyer

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