I’ve been doing contract management for over fifteen years, and for most of that time, nobody above my direct manager cared what was in the contracts database. As long as nothing blew up, the data quality of our contract records was my problem and mine alone.

That’s changed. In the last two years, I’ve been pulled into more conversations with senior leadership about contract data than in the previous thirteen combined. Not about specific contracts. About the data itself. Who owns it. Whether it’s accurate. Whether it’s complete enough to answer the questions the board is suddenly asking.

If you’re a contracts person feeling the same shift, you’re not imagining it. Something real has changed, and it has very little to do with contracts and everything to do with a much bigger anxiety working its way down from the C-suite.

The Data Trust Problem Is Bigger Than Contracts

Here’s what caught my attention: a 2025 study from Precisely and Drexel University’s LeBow College of Business surveyed over 565 data and analytics professionals worldwide, and 67% said they don’t completely trust the data their organization uses for decision-making. That’s up from 55% the year before. Trust in organizational data is actually declining, even as the pressure to make data-driven decisions keeps climbing.

That number isn’t about contracts specifically. It’s about data across the enterprise. But when your board starts hearing that two-thirds of professionals don’t trust their own organization’s data, and then someone asks “so what do we actually know about our contract commitments?”… that question lands on your desk.

I’ve lived this moment. A CFO asks how much we’re spending on auto-renewing contracts. Or how many vendor agreements expire in the next quarter. Or what our total SLA exposure looks like. And the honest answer, the one I’ve had to give more than once, is: “I can get you a number, but I’m not confident it’s complete.”

That answer used to be tolerable. It’s not anymore.

Why the Boardroom Suddenly Cares

Three forces are converging, and they’re all pulling contract data into the spotlight.

First, compliance complexity has exploded. PwC’s Global Compliance Survey 2025, which covered 1,802 executives across 63 countries, found that 63% of respondents said the disaggregated nature of data across their organization made compliance more difficult. That’s not a technology problem. That’s a “we don’t know what’s in our contracts and they’re scattered across twelve systems” problem. When regulators come asking about your vendor obligations, your data governance posture, or your third-party risk exposure, the answers live in your contracts. If your contract data is a mess, your compliance answers are a mess.

Second, AI initiatives are forcing a reckoning with data quality. Every organization wants to use AI to get smarter about their contracts. Extract key terms automatically. Predict renewal risk. Flag unfavorable clauses. But here’s the thing: AI can’t do any of that if the underlying data is garbage. The same Precisely/Drexel study found that only 12% of organizations report their data is actually ready for AI. So you’ve got executives telling the board they’re investing in AI-powered analytics, while the people who actually manage the data know the foundation is cracked.

I see this in my own work. ContractSafe’s AI extraction is genuinely useful for pulling dates, parties, and key terms out of agreements. But it’s only as good as what’s in the repository. If half your contracts are still sitting in someone’s email or a shared drive nobody’s organized since 2019, the AI is working with an incomplete picture, and so is anyone relying on its output.

Third, boards are building governance structures around technology risk for the first time. An EY analysis of Fortune 100 company disclosures found that 48% now specifically cite AI risk as part of the board’s oversight responsibilities. That’s triple the 16% that did so the year before. Forty percent have assigned AI oversight to a specific board-level committee, up from just 11%.

That matters for contract people because contract data is upstream of almost every governance question. How much third-party risk do we carry? What are our data processing obligations under GDPR or state privacy laws? What happens if a key vendor’s AI practices violate our policies? The answers are in your contracts, or they should be. When the board starts building formal oversight of technology and data risk, contract data quality goes from “Dave’s problem” to a governance input.

What Bad Contract Data Actually Looks Like

I want to make this concrete, because “data quality” sounds abstract until you see what it means in practice.

Bad contract data means your CFO asks how many contracts have auto-renewal clauses and you can’t answer without manually checking each one. It means your compliance team needs to know which vendors have data processing addendums and you’re not sure you have all of them catalogued. It means someone asks when the last amendment to a key agreement was signed and nobody can find it.

I’ve worked at organizations where the “contract database” was a spreadsheet with 200 rows, half of them out of date, and the actual signed documents were scattered across four different shared drives and a filing cabinet in an office nobody uses anymore. At that organization, the answer to every board-level question about contract commitments was some version of “we think so, but we’d need to check.”

That kind of answer is becoming unacceptable. Not because boards have suddenly developed an interest in contract operations. They haven’t. But because the questions they’re asking about compliance, risk, vendor management, and AI readiness all lead back to the same place: do we know what’s in our contracts, and can we trust that information?

The Profitability Angle Nobody Talks About

Here’s the part that really gets leadership’s attention. PwC’s same compliance survey found that 72% of executives said increasing compliance complexity has negatively impacted their company’s profitability. Not “might impact.” Has impacted. Already.

When compliance is expensive and slow, a big part of the reason is that people are spending hours manually hunting through contracts to answer questions that should take minutes. When audit prep takes three weeks instead of three days, it’s usually because the contract data is incomplete and someone has to reconstruct it from scratch. When a renewal gets missed because the expiration date in the system was wrong (or wasn’t there at all), that’s a direct cost.

You don’t need to make a philosophical argument to your CFO about the importance of data integrity. You just need to show them how much time and money gets burned when the contract data is unreliable. In my experience, that number is always higher than anyone expects.

What You Can Actually Do About It

I’m not going to pretend that fixing contract data quality is a weekend project. It’s not. But it’s also not the multi-year transformation initiative that consultants want to sell you. Here’s what’s worked for me.

Get everything into one place. This is step one and it’s non-negotiable. You cannot have contract data quality when your contracts live in six different systems. Pick a repository, migrate everything into it, and enforce a rule that new contracts go there first. When I consolidated about 400 contracts from scattered shared drives into ContractSafe, the quality of every answer I gave to leadership improved overnight. Not because the data magically got better, but because I could actually see what I had and what I was missing.

Fix dates first. If you can only clean up one data field, make it dates: expiration dates, renewal dates, notice periods. Dates are what drive the questions boards ask. “When does this expire? Are we locked in? What’s our termination window?” If your dates are wrong or missing, nothing else matters.

Build an audit habit, not an audit event. I spend about 30 minutes every Monday morning reviewing a handful of contracts in my system for data completeness. Not all of them. Just a rotating sample. Over time, this catches gaps that would otherwise compound until the next big audit, when someone discovers half the records are missing key terms.

Make data quality visible. When I report to leadership, I include a simple completeness metric: what percentage of active contracts have all key fields populated. It’s not fancy. But it turns “data quality” from an abstraction into a number that goes up or down, and leadership responds to numbers.

The Shift Is Already Here

I talk to a lot of contracts people, and the ones at larger organizations are all feeling this. The questions coming from above are different than they were even two years ago. They’re more specific. They assume you have the data. And when you don’t, the response isn’t a shrug anymore.

If you’re at a smaller organization, you might be thinking this doesn’t apply to you yet. Maybe not at the board level. But your auditors care. Your finance team cares when they’re trying to forecast vendor costs. Your legal team cares when they need to know your indemnification exposure.

The window for “we think so but we’d need to check” is closing. The good news is that getting ahead of this isn’t about buying an expensive platform or hiring a data governance consultant. It’s about doing the boring, unglamorous work of getting your contracts organized, your dates right, and your data into a state where you can answer the questions that are coming, because they are coming.

You’d rather be ready when they do.