About
I’m an in-house lawyer and AI Champion in Quebec. My conviction fits in one sentence: make AI concrete and trustworthy for lawyers — and prove it by building, here, on my own projects.
Most talk about legal AI stays at the level of principle — appealing, but unverifiable. I took the opposite stance. I design tools, run them on public data, and put them out as they are: what they do, how, and where they get things wrong. A demonstration beats a stated conviction.
That perspective comes from experience. Inside large organizations, AI isn’t judged on a conference demo but on real constraints: confidentiality, quality, accountability. That’s where you learn what holds — and what lawyers can actually adopt. But what I build here stays separate from that work: personal projects, personal tools, public data. Experience informs; it doesn’t cross the wall.
None of this happens outside the ethical rules. The limits are there; I stay within them and show what can be built inside. Public data only, verification at the source, caution owned at every step.
This site is the lasting archive of that work. LinkedIn carries the day-to-day conversation; here is where the solid record lives — the home base, not the feed.