AI Consulting
Anyone can do AI. Not your context.
For knowledge-based companies, artificial intelligence is shifting from an advantage to a basic requirement — over time it will take over much of the recurring thinking work. Everyone gets the models. What makes you impossible to copy is your context: your data, your knowledge, your processes. That is exactly the treasure I unlock — technically clean and with the law considered from the start.
Context beats model
The model is common property. Your edge is not.
Language models get better month after month — and are open to everyone. The edge is not in the model but in feeding it with what only you have: your data, contracts, processes and experience. This context is your company's gold — it has to be cultivated, structured and protected.
Off-the-shelf AI
- Generic answers every competitor gets just the same
- Does not know your company — guesses instead of knowing
- Data uncontrolled in foreign tools
AI with your context
- Answers from your knowledge — with sources, not hallucination
- An edge competitors cannot copy
- Data-minimal, EU-hosted, legally sound from the start
Use cases
Where your knowledge becomes value.
Process automation
Speed up recurring, rule-based workflows — from quoting to invoice checking — with AI, without giving up control.
AI assistants
Internal assistants on your own data: answers from manuals, contracts and knowledge bases — with citations instead of hallucination.
Document analysis
Automatically capture, check and structure contracts, briefs and forms — ideal for law firms and document-heavy industries.
AI strategy & governance
A solid roadmap with classification under the AI Act and GDPR — so your AI holds up even when regulators or customers look closely.
Method
How we proceed.
Potential analysis
We find the processes with the best ratio of impact to risk.
Legal frame
Data flows, legal bases and classification under the AI Act are settled before the first line of code is written.
Prototype
A working proof of concept proves the value on real data — lean and fast.
Scaling
What works is moved cleanly into operation — documented and auditable.
Engagements
Three ways to start with me.
AI readiness audit
A review of data, processes and legal position. You get a clear assessment of where AI is worth it — and where it is not.
AI strategy & roadmap
Prioritised use cases, a compliance frame and a realistic implementation plan for 6–12 months.
Implementation support
Ongoing support from prototype to operation — technical and legal from one hand.
No fantasy prices — concrete terms after the free first call.
Legal Tech
Law and technology from one hand.
I see myself as Legal Tech: anyone building AI for knowledge-based industries has to know where the AI Act, GDPR and copyright law draw the line. That understanding is built in with me — not as a later audit, but as part of the architecture. It saves loops and makes your AI viable even when regulators, works councils or customers look closely.
AI-Act classification
Risk class determined, obligations documented.
GDPR by design
Legal basis, data minimisation, EU hosting.
Clean handovers
Full rights to the code; where real legal advice is needed, together with specialist lawyers.
FAQ
Frequent questions.
As soon as personal data, customer data or automated decisions are involved: yes. The AI Act and GDPR set concrete requirements. I build your solution to meet them from the start — and tell you clearly where you additionally need a lawyer's advice.
When it fits and can be designed in a legally clean way — via EU hosting, data processing agreements and data minimisation. Where needed, I use European or self-hosted models.
The first call is free. The audit is offered at a fixed price; larger projects I cost transparently after the call — with no hidden items.
A first prototype often takes just a few weeks. I deliberately rely on lean proofs of concept before going broad.