What legal work does an AI startup in Canada need?

AI companies don’t need a separate body of law to get started, because Canada doesn’t have one. The proposed Artificial Intelligence and Data Act died with Bill C-27 in January 2025, and no government AI act has replaced it. What applies is ordinary corporate, IP, privacy, contract and competition law, applied to a product that learns from data and produces unpredictable output. Our Canadian AI Law Tracker follows what’s changing.

Here’s the work we see AI startups need, roughly in the order it comes up.

What should we do when we’re just starting?

• Incorporate and issue founder shares with vesting, so the company, not individual founders, holds the assets investors will look at.
• Assign IP to the company. That means code, but also system prompts, evaluation sets, fine-tuning datasets, model weights and agent workflows. Under section 13 of the Copyright Act, an employer generally owns copyright in work employees create in the course of employment, but founders who aren’t employees and contractors keep what they create unless they assign it in writing. See does my company own what employees create and IP assignment for contractors.
• Check open source and model licences. Open-weight models and libraries come with licences that may restrict commercial use, require attribution or limit use above a user threshold. See open source licences in AI products.
• Treat prompts and weights as confidential. Much of their value is as trade secrets, which only stay protected if you keep them confidential with access controls and NDAs.

What do we need before launch?

Item	Why it matters
Data rights review	You need a lawful basis for any data you train or fine-tune on, including licences for third-party data and consent for personal information
AI product terms	Say who owns inputs and output, whether you train on customer data, and that output can be wrong
Privacy policy	Must describe what actually happens to data, including which model providers receive it
Model provider terms	Your provider’s usage policy, data handling and indemnity shape what you can promise customers
Acceptable use policy	Passes through your provider’s restrictions and lets you suspend misuse

On data rights, Canada’s privacy regulators found in 2026 that OpenAI’s early collection of web data to train its models was overbroad and lacked valid consent. Don’t assume scraped or publicly available data is free to use for training. See AI training data and web scraping in Canada.

Under PIPEDA, using personal information for a new purpose such as model training generally needs consent for that purpose, and the OPC’s generative AI principles set out how regulators expect privacy law to apply. Map your data flows first, then write the policy from the map. For third-party models, see what OpenAI, Anthropic and Google’s API terms mean for your product.

What about marketing claims?

The Competition Act prohibits false or misleading representations to the public, and section 74.01 lets the Competition Bureau pursue them civilly. Since June 20, 2025, private parties can also apply to the Competition Tribunal for deceptive marketing. Claims about accuracy, time saved, “human-level” performance or being “AI-powered” should be ones you’ve tested and can back up. If your product talks to customers, read is my company liable for what its AI chatbot says.

What do we need once we have a team?

• Employment and contractor agreements with IP assignment and confidentiality.
• An internal AI use policy covering which tools staff may use, what data they may put into them, and review of AI output. See do we need an AI use policy.
• Job postings. Since January 1, 2026, Ontario employers with 25 or more employees must say in publicly advertised job postings whether AI is used to screen, assess or select applicants.

What changes when we sell to larger customers?

Enterprise buyers send AI questionnaires, security reviews and their own paper. Expect requests for a data processing agreement, a sub-processor list, no-training commitments, an output IP indemnity and notice of model changes. Have a SaaS agreement of your own ready so you aren’t negotiating entirely on theirs. See what enterprise customers ask before buying an AI product.

If your product acts for users, such as booking, buying or sending messages, also read who is responsible when an AI agent acts for a user.

Do Quebec or EU rules apply to us?

They can, even if you’re based in Ontario.

• Quebec. If you handle Quebec residents’ personal information, the private sector act requires notice when a decision about a person is based exclusively on automated processing (section 12.1), and a privacy impact assessment before communicating personal information outside Quebec (section 17). See does Quebec’s Law 25 apply outside Quebec.
• EU. The EU AI Act can apply to Canadian companies that place AI systems on the EU market or whose output is used in the EU. Its transparency obligations under Article 50 apply from August 2, 2026, and its high-risk obligations are phased in later.

What to do next

AI startups often handle this in two passes: company and IP at formation, then terms, privacy and vendor review before launch. We prepare founder vesting and IP assignment, AI product terms, privacy policies and SaaS agreements at fixed fees on our fees page. For how we work with AI companies, see legal help for AI startups.

This guide is general information about Ontario and Canadian law, not legal advice for your situation. To talk through your AI product, book a free 15-minute consult.