Core-AI builds a private AI workspace for Québec law firms — installed inside your own infrastructure, so client files never leave the building.
Every action is logged, so you can always answer who accessed a file.
Want to see the technology in action? We’ll walk you through a working private AI system on a call — answering questions over real documents, running on infrastructure the client controls — and show you what the same approach looks like for your use case.
Core-AI’s primary focus is Québec law firms navigating solicitor-client privilege and Law 25 — see how it applies to your firm →. We also take on engineering-firm deployments, most often through direct referral — details here →.
Step 1: Compliance Review — Assess how your firm uses AI today and what it’s exposed to.
Step 2: Deployment — Install inside your own infrastructure, configured to your firm’s structure.
Step 3: Adoption & Support — Your team is trained, and the system is supported as you start using it day to day.
What is private AI and how does it differ from services like OpenAI or ChatGPT?
Private AI refers to AI systems that run entirely on your own infrastructure rather than sending data to external cloud services. Unlike OpenAI or Azure AI, private AI keeps your data, queries, and documents inside your network — critical for firms bound by professional secrecy and organizations with sensitive intellectual property.
What kind of firms does Core-AI work with?
Québec law firms, primarily — typically 5 to 50 people, navigating solicitor-client privilege, the Barreau du Québec’s professional-conduct rules, and Law 25. That focus is deliberate: a firm carrying real confidentiality obligations wants an engineer who understands its work, not a vendor running a generic playbook. We also take on occasional engineering-firm work, most often through direct referral.
How does a private AI system help with Quebec's Law 25?
Law 25 puts real obligations on how your firm handles personal information, including an assessment before that information leaves Quebec. A private system removes most of that question by not sending the data anywhere: your documents, your queries, and the model itself run on hardware you control, inside your own network. To be clear, no system makes a firm compliant on its own — compliance is broader than any piece of software. What it does remove is the hardest part of the conversation, which is explaining why privileged client information should cross a border to a third-party provider at all.
Is my firm already exposed by letting staff use ChatGPT or Copilot on client files?
Possibly, and it’s worth checking honestly rather than assuming. The Barreau du Québec’s own guidance says that entering information protected by professional secrecy into a public AI tool can itself be a violation, even where nothing is disclosed. The Barreau has also made AI ethics training mandatory for every member, with completion required by 1 April 2027. This isn’t legal advice — whether a specific use is appropriate for a specific matter is a call for you and your counsel — but it’s worth a clear-eyed look at how your firm is actually using AI today, not just what the policy says.
How long does a private AI deployment take from start to production?
It depends on firm size, how much needs to connect to your existing systems, and how much of your document corpus needs preparing. After an initial compliance review, we agree on a scope and a realistic delivery date together — we don’t quote a number before we’ve seen your setup.
Do we need in-house AI expertise to work with Core-AI?
No. We handle design, build, and deployment end-to-end. After handoff, we provide full documentation and hands-on training so your team can operate the system independently. Ongoing support arrangements are available.
