About
I build AI that professionals in regulated fields can actually trust. My work joins a verification scientist's standards with on-premise, compliant engineering, and the ability to teach a team to use it.
For 25 years I have worked at the meeting point of artificial intelligence, research, and teaching. Today I design on-premise AI systems for legal and financial institutions: pipelines built on small open-weight language models that show their sources, refuse to invent, and run inside the client's own walls under GDPR and the EU AI Act. I founded an AI company whose clients include a top-10 international law firm, I built a university Data Science programme from nothing, and I have led more than 600,000 euros of public research funding. I am equally comfortable writing a specification with an engineering team or explaining what a language model really does to a room of non-technical professionals.
Now
Co-founder and CEO
2023 - present
Enidia AI, Luxembourg
- Build verification-first, on-premise AI for legal and financial institutions, GDPR and the EU AI Act by design
- Landed and delivered for a top-10 international law firm
- Cut a production document review from about 25 hours to about 4 at a client firm
AI Instructor
2025 - present
Digital Learning Hub and House of Training, Luxembourg
- Courses on AI fundamentals, prompt engineering, the EU AI Act, and AI in regulated industries
- Corporate AI facilitation that turns curiosity into durable adoption
Research and Academia
Assistant Professor (Tenured)
2016 - 2024
The American University of Paris, France
- Designed and launched the university's first Data Science programme, modelled on UC Berkeley
- Taught 40+ courses across computer science, mathematics, statistics, and AI ethics
Principal Investigator
2020 - 2025
University of Luxembourg, Luxembourg
- Principal investigator of more than 600,000 euros in public funding, including an FNR CORE grant
- Led the access-to-justice line: AI that helps lay users navigate the law. Patent law assistant demo
Postdoctoral Researcher
2012 - 2016
Microsoft Research and Inria Joint Centre, Paris
- Software verification and proof assistants, in the teams of Leslie Lamport and Dale Miller
Earlier Industry
Programming Team Lead
2001 - 2006
Quigo Technologies, New York, USA
- R and D lead at an AI-driven advertising startup; the company was acquired by AOL for about 360 million dollars
Education
Ph.D., Computer Science
2008 - 2012
Technical University of Vienna, Austria
M.Sc., Computer Science
2006 - 2008
Technical University of Vienna, Austria
B.Sc., Mathematics and Computer Science
1998 - 2001
Hebrew University of Jerusalem, Israel
Standing
33 international refereed conference papers and 3 journal papers. 402 citations, h-index 12. Reviewer for international journals and for Horizon and Marie Sklodowska-Curie Actions, with a best-paper award among co-authored work. Creator of the open-source GAPT proof system.
Facts
Some milestones and numbers.
Peer-reviewed papers
Research citations
Public funding led (in €1,000)
Courses taught
Average learner rating (out of 10)
How I Help
Three ways I work with organisations, and the track record behind them.
Compliance-grade AI pipelines
I design and build AI systems on-premise, using small open-weight language models, so your data never leaves your walls. GDPR and the EU AI Act are handled by design, not bolted on. Built for legal and financial institutions that cannot send documents to a public cloud.
AI you can trust
I bring a verification scientist's standards to applied AI. My systems show every source, give reasons, say "not found" instead of inventing, and surface what to review. The result is an answer a professional can sign their name to. I also audit and de-risk AI deployments that others have already built.
AI training and adoption
The hardest part of AI is rarely the technology, it is getting people to trust and use it. I train and facilitate non-technical teams, from first principles to durable daily habits, drawing on years of teaching at the Digital Learning Hub and the House of Training.
Research and funded projects
As principal investigator I have led more than 600,000 euros of public research funding, including an FNR CORE grant, Luxembourg's most competitive instrument. My access-to-justice work built AI that helps the public navigate the law, including a patent law assistant.
Academic standing
33 international refereed conference papers and 3 journal papers, 402 citations, h-index 12. Reviewer for international journals and for Horizon and Marie Sklodowska-Curie Actions, with a best-paper award among my co-authored work. I have supervised PhD, master, and bachelor students and speak regularly at industry and academic events.
Built to Be Trusted
Generic AI sounds equally confident whether it is right or wrong. For legal work, that is the whole problem. This is the standard I build to.
Media Center
I have appeared in several media events
- All
- Programs
- Items
- Web
Testimonials
In their own words, from learners at the Digital Learning Hub.
Contact
Want to build something, de-risk an AI you already have, or get your team using AI well? Let's talk. Email tomer@libal.info or connect on LinkedIn.
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