Buying Case Management Software with ‘AI Features’: What to Look For

Almost every case management software vendor now advertises “AI features”. For a busy partner or practice manager, it is hard to tell the difference between:

useful, workflow‑level automation that will actually help your lawyers; and
glossy demos that look good in a pitch but never reach day‑to‑day use.

This article offers a buyer’s checklist for UK firms evaluating case management software with AI features, so you can separate marketing from substance.

1. Start with your workflows, not the vendor’s demo

The best AI investment is boring and specific. Before meeting vendors, write down:

three or four workflows you genuinely want to improve, for example:
- email summaries for supervision;
- matter chronologies;
- time capture from email and documents;
- drafting client updates or simple notes;
what inputs you already have (emails in Outlook, documents in a DMS, notes in case management);
what “better” would look like (faster, clearer, fewer write‑offs, easier supervision).

In vendor conversations, insist on seeing those workflows, not generic chatbots or novelty features. If they cannot show you how AI helps with your actual pain points, treat that as a warning sign.

2. Check how deeply AI is integrated into the system

There is a big difference between:

a standalone “AI box” in the corner of the screen; and
AI woven into everyday actions.

Questions to ask:

Can users trigger AI from the places they already work (matter view, document view, email pane), or do they have to copy‑paste into a separate window?
Do AI outputs save straight back into the matter file (as notes, drafts, tasks), or do users have to download and re‑upload?
Can common prompts be standardised and shared across the firm?

You are looking for workflow integration, not just “we call an API and paste the response into a text box”.

3. Understand data protection, confidentiality and model behaviour

Because AI features often involve sending text from your matters to a model, you must be clear about:

where data is processed (UK/EU, other jurisdictions);
whether prompts and outputs are stored, and if so where and for how long;
whether your data is used to train models beyond your own tenant.

Practical questions:

“Do you use a shared public model, a private tenant of a cloud model, or your own?”
“Can we opt out of our data being used to improve models for other customers?”
“Where and for how long do you store prompts and outputs?”
“Can we audit or export logs of AI activity for a matter?”

Your case management system should make it easy for COLPs, COFAs and DPOs to understand — and explain — how AI is used.

4. Look for matter‑level logging and supervision tools

Regulators and insurers will not be impressed by vague statements that “we use AI safely”. They will want evidence.

Ask vendors to show you:

how AI use is logged per matter (who triggered what, when, using which documents);
how supervisors can review AI‑assisted work (for example, flags on AI‑generated notes or drafts);
whether there are tools to capture problems (hallucinations, tone issues, confidentiality concerns) and feed them back into policies or training.

Good systems treat AI actions like any other significant event on the file — visible in the chronology, not hidden away.

5. Probe pricing and cost control

AI features can change the cost equation in unexpected ways. Look for:

clear answers on whether AI usage is included in licence fees or billed separately;
any per‑document, per‑prompt or per‑token charges, and how they are capped;
controls you can use to limit or monitor usage (per‑user permissions, usage dashboards).

For many small and mid‑sized firms, the safest pattern is:

case management with sensible AI features included;
limited reliance on extra, separately priced AI add‑ons;
enough logging to understand whether features are actually being used.

If a vendor cannot explain AI pricing in plain English in five minutes, assume surprises later.

6. Ask for real‑world examples and references

Slideware is cheap; working deployments are not.

Ask vendors to provide:

specific examples of firms using AI features in production;
reference contacts (where possible) you can speak to;
concrete metrics or anecdotes (“X team saves around Y minutes per matter doing Z”).

Probe for failures and lessons learned, not just successes. A vendor that can talk honestly about what did not work is usually more trustworthy than one who insists everything is perfect.

7. Plan for change management, not just installation

Even the best AI features will fail if lawyers:

do not know they exist;
do not trust them; or
find them awkward to use.

Ask vendors how they support:

roll‑out to small pilot groups;
creation of firm‑specific prompt libraries or workflows;
training that is focused on your use cases, not generic “AI 101” slides;
ongoing measurement and iteration.

You should expect to invest time in change management — but good software makes that investment pay off, rather than fighting it.

8. Keep ownership of your data and your approach

Finally, remember that vendors come and go; your obligations to clients and regulators do not.

Make sure you can:

export matter data, including AI logs, in usable formats;
retain your own processes and prompts even if you change providers;
explain your AI approach in your own AI policy, rather than copying marketing material.

A good vendor will help you build a firm‑level approach to AI — not lock you into their particular flavour forever.

Where OrdoLux fits

OrdoLux is a legal case management platform for UK solicitors. It includes a built-in AI legal research tool for case law and legislation research, with citations for human verification.

The platform handles matter management, time recording (via keyboard, automatic Outlook email capture, and WhatsApp), document storage with SharePoint, billing, KYC via Checkboard, Stripe payments, and electronic signatures — all in one place.

Compare Clio alternatives for UK firms or use our buying guide before you decide. Book a demo when you're ready.