We supply and install the hardware in your office, then set up private AI for legal, accounting, logistics and public-sector teams across Europe. It works on your real files, from contracts to client records, and none of it leaves the building. The system is yours to own or lease.
Free, scoped pilot · On your workflow · No commitment


Previous partnership/collaboration experience, not clients.
Most firms have kept AI away from client files, and they were right to. The Dutch and Belgian bars advise against it, and under the CLOUD Act a US provider can't promise your data stays in Europe. That's exactly the work where AI now saves the most time. This is how you do it without the risk.
Contracts, client records, deal files: the work AI would help with most is the work you can't paste into ChatGPT. The Dutch and Belgian bars now say so directly (NOvA, 2025; OVB and Avocats.be, 2025).
Public tools are useful for general drafting. They are the wrong place for privileged material, so the work that would benefit most has stayed off AI.
Run the model inside your own network and the bar's closed-environment condition is met, so privileged work is finally in scope. Firms already doing this report about 11 hours a week back per lawyer (RSGI, 2026).
Installed in your office, anywhere in Europe. Hardware we supply, yours to own or lease. Your network.
General AI tools are genuinely good at general work. The question is what to do with the work that involves client files. That line decides which tool you use, and you don't have to pick a side.
ChatGPT, Copilot and Gemini handle this well. Keep using them.
This is the work Leyoda does. It runs on a machine in your office, so none of it leaves the building.
You can verify all three.
We didn't draw this line. The Dutch and Belgian bars did: no client data in public AI tools, confidential work only in a closed environment (NOvA, 2025; OVB and Avocats.be, 2025). We built for the inside of it. Most firms end up running both.
You kept client files out of public AI for good reasons. This is the way in that respects those reasons: the system runs in your office, on your network, and the sensitive work never leaves the building.
Contracts, case files and privileged correspondence can't go to a US cloud, and the bars now say so.
Client returns, audit files and financial records carry duties of confidentiality you can't outsource.
Customs filings, supplier terms and trade data carry commercial risk if they leave your control.
Citizen records, procurement and classified workflows can't sit on someone else's servers.
A server sits in your office and your documents stay on it. Here is what each of the five layers does, from your team's browser down to the machine itself.
Your staff open a browser inside your office and log in with their existing account. The interface is straightforward. Nothing leaves the building.
When you use a cloud AI tool, your file travels outside your office to a server somewhere else. You cannot prove what happens to it after that.
With Leyoda, the file stays in your office. The AI in your office reads it. Nothing crosses the boundary.
We walk through this with your team on the first call. If something does not fit your setup, we adjust before installation.
A few examples. Choose your sector to see which workflow we would automate first and how it compares against doing it manually or sending it to a cloud service.

These are a few common examples. We build automations for insurance, healthcare administration, notaries, manufacturing, HR, real estate, research labs and more. If your team handles sensitive documents or repetitive review work that cannot go to ChatGPT, we can almost certainly automate it on-premise.
We scope it, build it, and show you the results. You decide at the end whether a full deployment makes sense.
A 45-minute call with our engineers. We map the workflow you want to automate: what comes in, who reviews it, what a good output looks like. We sign an NDA before you share anything.
Three worked examples, projected from representative workflows in each sector.
Projected estimates based on representative workflows, not measured pilot results. Actual figures vary by team size, data volume and task complexity.
A 40-person law firm reviewing 300 NDAs a month by hand spends about 45 minutes per agreement, split across four associates.
On this workflow, private AI brings review time to roughly 19 minutes per document, about 7 hours a week back for the team.
A regional accounting office handling 180 tax returns a quarter is bottlenecked on data entry, where transcription errors creep in.
Automated extraction is projected to cut data-entry time by about 50% and ease the seasonal hiring need.
A logistics coordinator spending 2.5 hours a day on customs documentation covers 60–80 shipments manually.
With the documents handled on-premise, the same coordinator could clear roughly double the volume in under 30 minutes, freeing time for supplier work.
We are taking a small founding cohort of firms in legal, accounting and logistics. Early deployments receive founding pricing in exchange for product input.
Why firms are moving now
Most firms have kept AI away from client files, and they were right to. The Dutch and Belgian bars advise against it, and under the CLOUD Act a US provider can't promise your data stays in Europe. But that's exactly the work where AI now saves the most time.
Compliance
€290m
The Dutch and Belgian bars now tell members to keep client data out of public models, and the Dutch regulator fined Uber €290m for moving EU data to the US. For privileged work, the public US tools are off the table.
Capability
11 hrs/wk
Firms that found a compliant way in are saving real time: legal teams report about 11 hours a week back per lawyer (RSGI, 2026), and most finance leaders now let AI handle part of the routine workload (AICPA, 2026).
Ownership
0 bytes
The AI sits on hardware in your building, so your files stay on your network, no US cloud, no provider that can be made to hand them over. It's the one setup the bars actually permit, and the reason a cautious firm can start now.
You don't have to be first. You do have to start before this becomes the baseline your clients expect.
See it run on your dataPick the work and how often you do it. We supply the time it saves, no email gate.
36h/week × €120 × 46 weeks
An estimate, not a quote. The value is real when that time goes back into billable or growth work, we’ll work out your real numbers on the pilot.
We install it in your office and you run it. Buy the hardware outright or lease it, whichever suits you. The models and your data are yours either way, and the system keeps working whether or not we exist.
No subscription and no per-use bill. If you buy, the machine is yours outright. If you lease, you can buy it out or return it at the end of the term.
Installed like any other server. Buy it outright, or lease it and buy it out later. Either way, it runs inside your walls.
Open-weight models run locally on your hardware. No licence that expires, no cloud dependency.
Standard formats, documented setup. If you part ways with us, you keep a working system.
Flat monthly fee for support. Run it as much as you need. No metering.
Each installation is scoped once and priced once. Start with the tier that fits your current workflows. You can expand later.
Multiple workflows across a team, with role-based access and integration into your existing systems. For practices ready to move past one workflow and build a real internal capability.
We size the installation based on your workflows, document volumes, and security requirements.
The deployment fee above is one-time. Ongoing engineering is separate and optional. Your system keeps running regardless. Three levels: add one when it suits you, or none.
Your first month of engineering support is included with every deployment, at no extra charge. After that, ongoing engineering is optional and priced monthly. Your system keeps running either way. Three levels:
Reduced rates for companies under 50 people. Month-to-month, no enterprise lock-in.
Keeps your system current and monitored. Right for smaller practices running one workflow.
Everything in Essential, plus ongoing workflow refinement and direct access to the engineering team.
For organisations building AI into their long-term operational model.
We package what early-stage teams actually need: a working AI prototype on your data, a compliance posture that survives enterprise security reviews, and pricing that respects your runway.
Fixed-scope 2–4 week engagement to ship a working AI prototype on your real data. One outcome, one price, no surprise scope.
GDPR and EU AI Act baseline, data-residency choices, model cards and DPIA templates, so your first enterprise customer’s procurement team says yes.
Reduced setup and monthly rate for companies under 50 people. Month-to-month, cancel anytime, clear upgrade path as you grow.
Anything we haven't covered here, you can ask us directly on the call.
Cloud AI asks you to send your files out and trust whoever receives them. A firm that runs on confidential work can't do that, and shouldn't have to. So we built it the other way round: the AI moves into your office, and your files never move at all.

A few details help us scope the pilot, prepare the right sample flow, and confirm whether private AI is a sensible fit.
Optional, helps us tailor the pilot.
Pick one workflow. We run it on your documents in a secure environment and show you the results. No payment required, no commitment.