Advisory
An honest read on where AI helps your practice and where it does not. Which tools to buy, which to build, what to keep humans on — grounded in the EU AI Act and your duty of confidentiality.
AI systems for law firms
Independent guidance, AI built in your own environment, and the know-how to use it well. No hype, no lock-in, no per-seat tax — and the lawyer always has the final word.
Most legal-AI is built for the AmLaw 100 — sold by the seat, on someone else’s cloud. We help your firm stand up its own.
Every firm sits on a different rung. We meet you where you are and take you up — from a browser tab of general AI chat to an operating system you host and own.
Using general AI chat — ad-hoc, in a browser tab, with none of your firm’s context.
Your AI knows your firm — knowledge base, templates and house style wired in.
Your lawyers are trained and pulling great, reliable results out of the tool.
The team explores new workflows and skills, compounding the time it saves.
You host your own AI, trained on your data — the big-firm approach, at your scale.
An honest read on where AI helps your practice and where it does not. Which tools to buy, which to build, what to keep humans on — grounded in the EU AI Act and your duty of confidentiality.
We stand up an AI operating system in your environment and build the few capabilities that cost your firm the most time. Your data stays with you; only the question you send the model ever leaves.
Hands-on training so your lawyers actually use it — prompting, review discipline, AI in day-to-day matters. Access is not adoption; the value shows up when the team is fluent.
We build the two or three that matter most to your practice — not a generic suite.
Question a full matter file and get answers with the source pinned to the page.
Pull terms from a stack of contracts or exhibits into a single review table.
A clean, dated timeline assembled from the documents in a matter.
Submissions and correspondence from your own templates and house style.
Exhibits and filings across Croatian, English and German.
Strict citation discipline — no invented references, ever.
Anthropic’s 4D framework describes how people and AI share the work. Two of the four are exactly what a good lawyer does every day. We engineer the other two around them — so judgement and accountability never leave the human.
Deciding what work AI does and what stays with a lawyer. We map every matter workflow and draw that line with you — nothing reaches AI that shouldn’t.
Giving AI the context to do it well — your templates, your house style, the matter file. This is the engineering that turns a general model into your firm’s assistant.
Judging the result. Exactly what a partner does reviewing a junior’s draft — a trained eye deciding what is ready and what needs another pass.
Standing behind the result. Putting your name on the advice before it reaches the client. Accountability never leaves the lawyer — and it shouldn’t.
Your partners already master Discernment and Diligence. We engineer the Delegation and Description around them — so AI does the drafting, and a lawyer’s judgement stays exactly where it belongs.
The big platforms are genuinely strong at deep research and industrial-scale review. If you need that at scale, buy it — we’ll tell you so. Here is where we are the better call for a firm like yours.
Your system, your data, your environment. No renewal leverage held over you.
It encodes how you run a matter — an edge a shared platform can’t give.
AI-assisted, never autonomous. The lawyer makes every final call — by design.
You pay the AI provider directly, at their price. No per-seat tax growing each year.
We look at your matters and find where AI earns its place — and where it should stay out.
In a half-day session we run your operating system on the task costing you the most time this week.
An AI department, as a service — new capabilities, training, and AI-Act compliance kept current.
Confidentiality under the AI Act. What a matter-level assistant can and can’t do. How to keep a lawyer’s judgement at the centre. We publish what we learn and measure the time it actually saves.
“The clearest way to judge any of this is to see it run on your own work.”
A short intro call, an honest view of where it helps and where it doesn’t. No pitch deck.