We deploy our private-AI platform on your firm’s own infrastructure, trained on your firm’s own files.
I’m an engineer and entrepreneur, and I build AI products that reach production instead of dying as demos. I started out in digital marketing as a teenager, which taught me the lesson that still drives me: marketing sells the promise, engineering ships the product. I chose to ship, and in every company I’ve built since, I’m the engineer. The pattern I kept running into was always the same: AI bolted on too fast through an outside service, client data quietly leaving the building, and the people accountable for it finding out after the fact.
Then Loi 25 came into force, and one industry stood out. A Québec law firm lives under strict professional-secrecy rules. Its clients now send formal questionnaires about how AI touches their files. And its own lawyers are already using ChatGPT, in browser tabs the firm can’t see. The missing piece wasn’t the AI. It was a way to keep the AI inside the firm’s control, on the firm’s own infrastructure, trained on the firm’s own files, with every question logged.
So I made that the whole business. Through Groupe Bilbs, we deploy our private-AI platform on your firm’s own infrastructure, on your hardware on-premise or in your own AWS Bedrock account, and train it on your firm’s own contracts, memos, and matters. Your data is never used to train anyone’s models. And it’s built the way production AI actually has to be built, with the evals, guardrails, and audit logging that keep it dependable long after launch, not just on demo day. The person you talk to on the first call is the same person writing the code, the same person sitting with your IT director through deployment, and the same person on call when something breaks two years from now. That person is me.
Serial entrepreneur and engineer. President of Groupe Bilbs, co-founder and CTO of Ordelia. Started building at seventeen and has shipped AI into production across several companies since, the engineer in each one. Believes production AI is a 30-day method, not a demo. Based in Québec, QC. French · English.
View LinkedIn profileThe server lives in your office. The AI is licensed to your firm. The guidebook lives on your IT’s shared drive. If Bilbs closes tomorrow, nothing your lawyers use today stops working.
Your files never leave the building. They never go to another country. They never go to another company, not to Microsoft, not to OpenAI, not even to us. The answer to every client questionnaire is one page long because the architecture made it one page long.
The lawyer clicks through and reads the source before anything goes out. The same review a senior partner does on a junior’s draft today, just on a draft that’s 90 seconds old instead of four hours old. The AI is a first drafter, never a decider.
One line on the invoice: from $99 per lawyer per month. Goes up only if the firm chooses extra services. Infrastructure is billed separately, yours if you have a server, our OEM-cost quote if you don’t. The partnership signs the price once.
The person on the first call is the same person writing the code, installing the server, and on call two years from now. No project managers. No team overseas. No juniors getting lost in a document system they’ve never seen.
Standard servers. Standard models. A guidebook your IT director can actually read. Nothing clever enough to surprise anyone at 2 a.m., because surprises at 2 a.m. are how a firm ends up with the wrong answer in front of a client.
No deck. No pitch. You tell me about the firm; I answer your direct questions about Loi 25, what your associates are already doing with ChatGPT, and what this actually costs. The call is free, and so is the audit that follows it. One line on the invoice: from $99 per lawyer per month, transparent and predictable. Goes up only if the firm asks for extra services. Infrastructure is billed separately: if you have a GPU-capable server, we use it; if you don’t (no IT yet, no server room yet), we source and install one for you on a transparent OEM-cost quote, your call once you see the spec.