

Ask three reviewers to mark up the same vendor agreement and you will usually get three different comment sets. They are working from the same playbook. They still disagree, and what they disagree about is which deviations are worth a comment at all.
One reviewer flags eleven things. Another flags four, and the four sit inside the eleven. Nobody is wrong on the merits. They have different ideas about what rises to the level of saying something, and nobody has ever written that part down.
This is the version of the problem your business partners see. Sales pushes two nearly identical order forms through legal in the same week and gets back two different sets of asks. The rep notices. The customer notices when the second deal takes an extra round.
You cannot fix a spread you have not measured, and many teams have never measured it.
Kahneman and his co-authors called this kind of variation noise, and the remedy they proposed is a noise audit: give members of a professional unit a common set of cases and use the degree to which their assessments vary as the measure. Their opening example is a financial services firm where a customer accidentally sent the same application to two offices and got back very different quotes, then took the business to a competitor. Contract review works the same way. Several people in the same role, files assigned mostly by who is free.
The audit is cheap. Pick three contracts you have already closed, one on your paper and two on theirs. Send each one to every reviewer with the instruction they normally get. Collect the comment sets and count two things: how many issues each reviewer raised, and how many issues were raised by exactly one person.
That second number is the one that will bother you.
Read through the comments only one reviewer made. They are usually not wrong. They are a reviewer applying a standard nobody else on the team is applying.
Someone raises a notice provision that gives the counterparty five business days where your form says ten. Someone else reads the same clause and moves on, because in their head five days is not worth spending a negotiating round on. Both of them will tell you the position is ten days. Both are right about that. The playbook gave them the position and said nothing about whether a five-day version is a comment or a shrug.
That silence is where the inconsistency lives. Positions are easy to write down, so teams tend to write them down. Thresholds stay in people's heads, and they get set by whatever that particular reviewer got burned by last.
Most playbook entries carry a preferred position and a fallback, which is what a written playbook is usually built to hold. Add one more line to each entry: the point at which a deviation becomes a comment.
Say the entry is payment terms. Position, Net 30. Fallback, Net 45. Raise it below Net 60, and anything between 45 and 60 goes in the summary to the requester without going into the redline.
That last part is the piece that usually gets left out, and it matters more than the position does. You are telling a reviewer when to stay quiet. A playbook that only says what to fight for leaves the other half of the decision to personality, and personality is what you were trying to take out of the process.
Written thresholds still depend on people applying them the same way at four o'clock on a Friday.
So take the mechanical part off the reviewer. Finding every clause the playbook covers, pulling the actual numbers out of them, noticing which covered terms are missing entirely: that work has one right answer, no judgment in it, and it tends to get thin when someone is behind on their queue.
Running the same automated pass over every inbound file will not make the calls for you, and you should not want it to. What it does is hand every reviewer the same starting list. Then when two reviewers still differ, the difference is telling you something about the deal instead of something about how much attention the file happened to get.
Do it again next quarter with contracts nobody has seen. Track the singleton count. If it is not falling after you have written thresholds down, either the thresholds are wrong or nobody is reading them, and both of those are fixable in an afternoon.
For a lot of teams, hiring your way out of this is not on the table. In the 2026 ACC Chief Legal Officers Survey of 1,049 chief legal officers, 63 percent expect headcount to stay stable, and operational efficiency came out again as the top strategic initiative, named by 53 percent. The reviewers on staff now are the ones handling next year's volume.
goHeather is free to try if you want to see what an identical first pass looks like across your own inbound contracts.
This is legal information, not legal advice; consult a lawyer for legal advice.
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)

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