How to run a contract sweep that gets contracts fixed

Every legal team that runs a sweep across its contract portfolio gets good at the finding part. A privacy regulator changes a rule, an insurer raises a minimum, a state passes a new notice requirement, and someone runs a search across a few hundred agreements to see how many carry the old language. That part goes fast now. Finding every contract with the outdated clause takes a few hours to a few days, even across a repository nobody has fully indexed. What usually takes months, and what quietly stops happening around month three, is getting the fix into all of them.

A finished list is not a finished project

A sweep produces a list. Two hundred vendor agreements still say sixty days when the new standard says thirty. Forty customer contracts reference an insurance floor the risk team raised last quarter. That list looks like progress, and then it sits.

It sits because a list of contracts is not the same thing as a list of tasks. Some of those two hundred vendor agreements can be fixed with an internal side letter your own signatory can execute today. Others need the vendor to agree to new terms, which means finding whoever owns that relationship, explaining why the change matters, and waiting on a counterparty that has no reason to prioritize your request. A few accounts on the list belonged to someone who left the company last year, and nobody has told the replacement they now own the fix.

None of that shows up when you count how many contracts got flagged. It only shows up when you try to count how many got closed, and most teams never build that second count.

Split the list into two jobs on day one

Divide the sweep output into two buckets before anyone starts working it. The first bucket is contracts you can fix without asking anyone outside your building: standing positions you already have the authority to apply, updates that live in a schedule or an internal policy rather than in negotiated terms. Assign those to whoever owns the repository and set a date. Once someone is actually accountable for it, this bucket rarely needs more than a few weeks.

The second bucket needs the other side to agree, and that is a different kind of work. It needs a named business owner who has an actual relationship with that counterparty, a short explanation of why the change matters, and a deadline that gets checked on a cadence instead of forgotten. PwC's description of a repapering project for a manufacturing client shows the shape of this work: reviewing a portfolio is only the first stage, and once it is complete “there's often more to be done; contracts may need to be repapered, novated, negotiated, terminated and so on.” In that engagement, the initial review covered over 1,000 documents, and that review was just the stage before a team of lawyers had to generate, localize, and get signature on a comparable volume of new agreements across 40 territories. The finding was the easy half of the job.

Report what closed, not what got flagged

The number worth putting in front of leadership isn't how many contracts your sweep touched. It's what percentage of the flagged list is actually closed, split by the two buckets above, updated on a schedule instead of once at the end. A sweep that finds 300 problems and closes 40 of them over six months is not a finished project, even if the update to leadership only ever mentions the 300.

This is not just a tidiness problem. World Commerce & Contracting's research on contract value puts a number on what an open finding keeps costing you while it sits unresolved: poor contracting practices erode value equal to almost 9% of annual revenue on average, and for organizations in more complex industries that figure is often 15% or more. A clause you found and never fixed is still doing whatever damage it was doing before the sweep ran. Finding it did not change that.

Where AI helps here, and where it stops

Searching a large, disorganized repository for every instance of a clause type is exactly the kind of task worth handing to software. An AI contract review workflow can check a contract against a playbook position and tell you whether it matches your new standard or falls short of it, which covers most of what the finding stage requires when you run it across the files in your sweep. It will not call the vendor, decide which counterparty relationship is worth the friction of asking for a change, or figure out who inherited a departed employee's book of contracts. That part stays with your team, and it is worth deciding who owns it before the sweep runs, not after the list lands in someone's inbox.

If your team is also trying to get ahead of how long each fix takes once someone is assigned to it, the same discipline used to measure contract turnaround time on inbound review applies here: track the age of the oldest open item, not just the count of items you have touched.

Try goHeather free if you want to see what a first pass looks like against a few of your own contracts before you commit to a sweep timeline.

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