The Legal AI Buying Checklist: Six Questions Before You Sign

The firms moving fastest on legal AI this year are not the ones chasing the newest demo. Several of the largest firms in the market are striking multi-year AI partnerships with exclusive development rights rather than buying an off-the-shelf subscription, because they would rather build an owned, governed way of working and then choose the tool that fits it.

Most law firms we talk to are further back than that, and that is not a criticism. Evaluating legal AI properly takes a different kind of due diligence than most partners have had to do before. The risk is buying a tool before you have a way to govern it. The opportunity is that firms who get this right now are building a defensible advantage while everyone else is still comparing feature lists.

Ask about the tool before you ask about the price

Before any commercial conversation, six questions tend to separate a tool worth trialling from one worth walking away from.

1. Accuracy: tested on what, exactly?

General benchmark scores tell you little about performance on your own matter types. Ask for accuracy figures on tasks close to your actual work, such as contract review, discovery or client correspondence, not a generic leaderboard result.

2. Human oversight: where does a person have to check the output?

Courts are still sanctioning lawyers over AI-related filing errors. That is not a reason to avoid AI. It is a reason to know precisely where a qualified person reviews the output before it reaches a client or a court, and to have that written into your process rather than left to individual habit.

3. Redress: what happens when it gets something wrong?

Every tool will be wrong sometimes. The question is whether the vendor has a clear process for flagging, correcting and learning from an error, and whether your firm's professional indemnity cover actually contemplates AI-assisted work.

4. Confidentiality: where does client data actually go?

Ask precisely where matter data is processed and stored, whether it trains the vendor's underlying model, and who else's data it sits alongside. "We take security seriously" isn't a real answer to any of that, so don't accept it as one. Ask for the data flow diagram instead.

5. Auditability: can you reconstruct a decision six months later?

If a client, a regulator or a court asks how a piece of work was produced, you need a record of what the AI did, what a person checked, and when. Build this in from day one, because retrofitting an audit trail afterwards is far harder.

6. Integration: does it fit how the firm actually works, or does the firm have to bend to it?

The strongest legal AI moves this year are not AI bolted onto the side. They are AI embedded in the case management and document systems the firm already uses. A tool that needs a parallel workflow gets used by enthusiasts and ignored by everyone else within a quarter.

Governance before vendor, not the other way round

It is tempting to start with a product demo. Firms who get better outcomes tend to start with the six questions above, agree internally what "good" looks like, and only then let vendors compete to answer it. A tool chosen for its demo rarely survives contact with a real caseload, while one chosen against a clear standard usually does.

This does not mean AI has no place in lower-value or high-volume matters. Legal AI is already helping some firms extend access to justice on debt recovery and other lower-value work, provided human oversight stays in the loop for anything that affects a client's rights. AI expands what a firm can responsibly take on, but it doesn't remove the need to check the work.

Where this fits your Technology Resilience Score™

A firm that can answer all six questions cleanly is already ahead of most competitors on its Technology Resilience Score™ trajectory. A firm that can't has just found its next TRS™ action: the risk is an AI decision nobody can explain, audit or defend; the opportunity is that firms with a governed AI approach are winning client trust, and increasingly, client work that firms without one can't touch.

If you're evaluating AI tools and want a clear, independent view of where your firm's technology resilience actually stands before you sign anything, our law firm IT support team can help you build the governance layer around the tool, not just plug it in. Related reading: IT support for law firms and what good IT support for law firms looks like.

Start with the free Lite assessment and see where your firm stands in about 15 minutes.