Avocat · AI Champion · Québec
In-house lawyer and AI Champion. I design legal-AI tools, run them on public data, and show them working — so that “what AI can do in law” stops being a promise and becomes a demonstration.
Featured work
The problem — On a complex matter, keeping the big picture and connecting notions scattered across hundreds of pages.
A knowledge graph that turns a legal corpus into a navigable network: you see the whole at a glance and follow the links between concepts, instead of reading article by article. Live demo on Quebec's Loi 25.
The approach
On AI, there are those who talk about it and those who show it. What I publish here are personal projects, built with my own tools, informed by experience inside large organizations — where you see what legal AI really runs into: constraints, sensitive data, a demand for proof. Three principles hold up everything else.
There’s no shortage of theory about legal AI. I’d rather ship: tools that run, tested on real lawyer tasks, put in their hands.
Talking about a tool proves nothing; running it in front of you does. Every piece opens up and can be handled — what it does, how, and where it gets things wrong.
The tools take on real lawyer tasks. But the demos run on public data only — never a shred of confidential or private information.