Three Questions to Ask Before You Feed Data to an AI Vendor
Executive Summary
- Handing your data to an AI vendor is a trust decision, and most teams make it on the strength of a demo rather than a contract.
- Three questions cut through most of the risk: where does my data go, what is it used for, and how do I get it back.
- The answers belong in writing, in the agreement, not in a salesperson's reassurance on a call.
- Asking these well is not legal paranoia, it is basic operational hygiene that keeps your options open.
Adopting an AI tool almost always means letting it see your data, and the better the tool, the more of your data it tends to want. That is a reasonable trade in plenty of cases. What is not reasonable is making the trade blind, on the strength of a polished interface and a friendly account rep, without pinning down what actually happens to the information once it leaves your control.
You do not need a legal team to ask the questions that matter most. You need three of them, asked plainly, with the answers written into the agreement rather than offered as verbal comfort.
Where does my data go, and who can see it
The first question is physical and organizational. Where is the data stored, in whose infrastructure, and who at the vendor and its subprocessors can access it. "It is secure" is not an answer, it is a mood. You want to know the actual path your data takes and the actual list of parties who can touch it, because that is what determines your exposure if any of them has a bad day.
What is it used for, beyond serving me
The second question is the one vendors are least eager to volunteer: is my data used only to provide the service to me, or is it also used to train shared models, improve the product generally, or anything else. There is no universally right answer here, plenty of arrangements are fine, but there is a wrong way to find out, which is afterward. Get the permitted uses named explicitly and bounded. Silence in a contract tends to resolve in the vendor's favor.
How do I get it back, and get it deleted
The third question is about the exit you hope not to take. If you leave, can you export your data in a usable form, and can you require its deletion from the vendor's systems and its subprocessors. A tool you cannot leave is not a tool, it is a landlord. Knowing the exit terms before you move in is what keeps a vendor relationship a choice rather than a trap.
Ask these three, insist the answers live in the agreement, and you have handled the large majority of the practical risk without slowing the deal to a crawl. This is not about distrusting every vendor. It is about keeping your data, and your options, yours.
Frequently asked questions
Do I need a lawyer to vet an AI vendor? A lawyer helps for anything high-stakes, but the three questions here, where data goes, what it is used for, and how you get it back, get a non-specialist most of the way and surface the issues worth escalating.
Is it bad if a vendor uses my data to train models? Not necessarily, but it should be a deliberate, named term you agreed to, not a default you discover later. Decide based on the sensitivity of the data and the value you get in return.
What is the most overlooked question? The exit. Teams focus on getting in and forget to confirm they can get their data out, in usable form, and have it deleted. That is what keeps a vendor a choice rather than a lock-in.