

When your queue has 40 vendor contracts due this week, you probably open contract one, read the indemnity clause, make a call, move to the termination clause, make another call, check payment terms, close it out, then open contract two and run the same loop again. That's the default shape of contract review. It's also the slow way to do it.
Every time you move from one clause type to the next, your head has to reload a different set of rules. Indemnity review runs on one set of questions: who's covered, what's carved out, whether the cap lines up with your playbook. Termination review runs on a completely different set: notice periods, cure rights, what triggers a for-cause exit. Switching between them isn't free. Cognitive psychologists who study this call it a switch cost, and a Wake Forest University study on task-switching describes it plainly: a switch cost is the time the brain needs to disengage from one task and switch to another, and true simultaneous multitasking is unlikely, since cognitive efficiency drops as the brain needs time to refocus with every switch. Read 40 contracts front to back, clause by clause inside each one, and you're paying that reload cost dozens of times a day, on top of the actual reading.
There's a fix that shows up in a completely different field: grading exams. University instructors who mark stacks of papers run into the identical problem, and the standard advice from teaching centers is to stop grading whole exams one at a time. The University of Waterloo's Centre for Teaching Excellence tells instructors to grade only one question or topic at a time, and finish grading all responses to one question in one sitting where possible, so they aren't reloading their marking scheme over and over. Swap "exam question" for "clause type" and you've got a contract review workflow. Instead of reading contract one start to finish, then contract two start to finish, you read the indemnity clause across all 40 contracts in one sitting, then the termination clause across all 40, then payment terms. You load the indemnity rules into your head once, not forty times.
This only works if something has already pulled the clauses out of the documents for you. Nobody wants to manually flip through 40 PDFs hunting for the indemnity section before they can even start the batch. This is where a first pass earns its keep: an AI contract review tool can read the batch, tag each contract by clause type against your playbook, and group the results so you can work through every indemnity flag in one queue before moving to the next clause. The judgment call still belongs to the reviewer. What the AI adds is the sorting, grouping flags so a human can work one clause type at a time instead of jumping between them.
It also won't work for everything, and it's worth being honest about where it breaks down. Clause batching fits provisions your playbook already has a firm, written position on: liability caps, indemnification scope, termination for convenience, data handling requirements, insurance minimums. It's a bad fit for judgment calls that depend on reading the whole deal, like whether an unusual payment structure signals a counterparty under financial stress, or whether a pile of small deviations adds up to a contract you shouldn't sign at all. Those calls need someone to read the document as a document, not as a stack of isolated clauses. Batching speeds up the mechanical part of review. It doesn't replace the read where someone has to hold the whole contract in their head at once.
If you're running a high-volume queue, the practical way to try this is small. Pick two or three clause types where your playbook position is settled and non-negotiable, group the week's contracts by those clauses, and clear each group before you touch anything that needs a full read. Watch whether reviewers actually finish those batches faster, and whether the calls they make are more consistent from one contract to the next. This ties into a broader problem worth solving around keeping contract review consistent across reviewers, since a reviewer locked into one clause type for an hour is less likely to drift on where they draw the line than one jumping between clause types every ten minutes.
Try goHeather free and see whether grouping flags by clause changes how fast your queue actually moves, or whether the read-the-whole-document instinct still wins out for your team.
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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