What’s Actually Hiding in Your Target’s Contracts

Every M&A deal has a moment of reckoning. The letter of intent is signed, the data room opens, and suddenly your team is staring at hundreds of customer agreements that need to be reviewed before the exclusivity window closes. The deal is real now, and the contracts are the last place most buyers want surprises.

The problem is that surprises are exactly what contracts tend to deliver.

Assignment clauses that require customer consent to the transaction. Change of control provisions that give counterparties the right to terminate without cause. Limitation of liability caps that look reasonable in isolation until you see them across a full portfolio and realize your exposure is far larger than the deal model assumed. These provisions reshape deal structures, renegotiate purchase prices, and occasionally kill transactions entirely.

And they are hiding in plain sight, in documents that have not been read carefully enough, or quickly enough, to matter.

M&A due diligence has always been a race against the clock, but the stakes of losing that race have gotten considerably higher in recent years. Exclusivity periods are shorter. Sellers are more sophisticated. Competition for quality targets is intense enough that buyers cannot afford to let a diligence question become a reason to slow down. One in five deal teams say diligence timelines have grown over the past two years, and among them 57% report one to three additional months added to the process.

The traditional answer has been to assign an associate or a small team to review contracts and produce a diligence memo. That approach worked when deal volumes were manageable and timelines were forgiving. It is harder to make it work today.

Associates are expensive, their bandwidth is finite, and a standard diligence memo produces narrative output that is difficult to analyze at scale. When you need to understand how assignment rights vary across a portfolio of 300 customer agreements, a memo does not give you that picture. A spreadsheet with structured data fields does. A pattern in the data is often what drives a rep and warranty negotiation or a purchase price adjustment.

Scope creep is the other issue. Data rooms are rarely as clean or contained as sellers represent them to be. It is common for a deal that starts with 150 contracts to grow to 400 or more once all the amendments, statements of work, and order forms surface. When that happens mid-diligence, the associate model does not scale gracefully. More people need to be brought in quickly, at law firm rates, under pressure, which is precisely when quality tends to suffer — and it’s often the moment teams start scaling a legal team mid-deal the hard way.

Structured contract review extracts defined data points — counterparties, assignment rights, change-of-control and termination triggers, liability caps, pricing, and renewal dates — from every agreement in a deal into a searchable, analyzable format, rather than a narrative memo. It lets deal teams see risk patterns across an entire contract portfolio, not one document at a time.

More M&A teams are approaching contract diligence the way they would approach any data problem. The goal is not just to read the contracts. It is to produce structured contract intelligence that enables analysis across the entire portfolio.

What to extract from every target contract:

• Counterparties: who’s on the other side, and how concentrated is revenue among them
• Assignment & change-of-control rights: which contracts need consent to transfer, and which can be terminated on the deal
• Termination provisions: notice periods, for-cause vs. for-convenience triggers
• Commercial terms: pricing, payment, limitation of liability, indemnification
• Renewal structure & expiration dates: auto-renewals, windows, and lapse risk

When those fields are captured consistently across every agreement, patterns emerge that a memo never surfaces. You might find that 60 percent of customer contracts require prior written consent for an assignment, a concentration of risk that needs to be addressed directly with the seller. Or that there is a cluster of agreements with liability caps that look problematic relative to deal value. Or that three of the top ten customers by revenue have termination rights that activate upon a change of control.

That intelligence changes how a deal gets structured, and it only exists when the review process is designed from the start to produce it — the same M&A contract analysis that also carries into post-close integration once the deal closes.

AI-assisted contract review has made a lot of promises, and it delivers on some of them. Technology can accelerate first-pass extraction, flag provisions that need attorney attention, and identify patterns across large document sets faster than humans working alone.

But fully automated review has real limitations in an M&A context, and experienced deal teams are well aware of them. AI struggles with ambiguity, and contracts are full of it. A clause that says assignment is permitted subject to reasonable approval does not code itself. Someone has to read it, understand the surrounding context, and make a judgment call about what it means for this particular deal. A review process that relies entirely on automated extraction can produce output that looks complete while leaving material risks unaddressed. Choosing and validating the right tools is its own discipline — our contract AI advisory team benchmarks platforms against attorney-graded output.

The model that consistently works is attorney-led review supported by technology. This attorney-led, technology-supported approach is what we’ve called the lawyer-in-the-loop model. Experienced reviewers working alongside AI tools can cover volume at speed without sacrificing the legal judgment that contract diligence actually requires. The technology handles repetitive extraction work. The attorneys handle interpretation. The result is structured data that deal teams can trust when the stakes are high.

M&A practices are reconsidering how they staff contract diligence for a financial reason, beyond quality and speed.

When a data room expands mid-deal, scaling a traditional associate review at law firm billing rates is expensive, and it happens at exactly the moment when transaction costs are already being scrutinized. A structured review model with project-based pricing changes that equation considerably. The cost is known upfront, the team can grow without a corresponding spike in spend, and the output is more immediately useful to the deal team than a traditional narrative memo.

This is the model Legalpeople built its M&A Contract Analysis service around: attorney-led review supported by technology, scoped with project-based pricing so the cost is known before the data room expands, not after.

For clients trying to manage deal economics, that combination of better output and more predictable cost is meaningful.

The best M&A practitioners understand that speed and quality in diligence are not competing values. They are both requirements. Deals that close well are the ones where the buy team understood what they were acquiring before they signed. Deals that do not close well often trace back to contract provisions that no one surfaced in time — a pattern serial acquirers running parallel deals learn to guard against early. When a cybersecurity acquirer cleared diligence under a compressed timeline, structured review is how they did it.

Structured contract review does not eliminate risk from M&A. What it does is surface the risk that is actually there, organize it in a format that enables action, and deliver it within the timelines that modern transactions operate on. That holds whether the buyer is a strategic acquirer, one of the private equity deal teams running platform-plus-add-on strategies, or one of the in-house legal departments absorbing deal work on top of daily operations.

For deal teams that want to give their clients a better experience through a transaction and protect them from post-close surprises, that capability is a genuine differentiator.

Legalpeople’s M&A Contract Analysis service works alongside deal counsel to deliver attorney-reviewed, structured contract data at deal speed — with pricing you can set before diligence starts. Talk to our team about your next transaction.