AI and technology lawyer in Toronto for AI startups and SaaS companies
For Founders Law is a Toronto law firm for AI, SaaS and tech companies. We draft the agreements an AI product needs to sell, launch and raise: AI terms of use, acceptable use policies, SaaS and master services agreements, data processing agreements, privacy policies and cookie consent, plus founder, IP and financing documents. Every engagement is a fixed fee quoted before work starts, and every document is drafted by a lawyer licensed by the Law Society of Ontario.
Key takeaways: Canada has no standalone AI law yet, but AI companies are already regulated through privacy law (PIPEDA and Québec's Law 25), consumer protection and Competition Act rules, contract law, and for anyone selling into Europe, the EU AI Act. The documents that matter most are your customer terms, your data terms and your IP ownership chain.
What legal documents does an AI startup need?
Most AI companies need the same core set, adjusted to how the product works and who buys it.
AI terms of use and acceptable use policy
Customer terms that say who owns inputs and outputs, whether customer data is used to train or improve your models, what accuracy you do and do not promise, which uses are prohibited, how third-party model providers fit in, and how far your IP indemnity goes.
SaaS agreement or master services agreement
Click-through subscription terms for self-serve customers and a negotiable MSA with order forms for enterprise deals, covering fees, renewals, service levels, liability caps and termination.
Data processing agreement (DPA)
The contract enterprise and EU customers ask for: subprocessors (including your model provider), cross-border transfers, security safeguards, breach notice and deletion.
Privacy policy, cookie policy and AI disclosures
Privacy documents that match your real data flows, explain any automated decision-making, and handle consent for analytics and tracking, including Law 25's off-by-default rule for technology that identifies, locates or profiles people.
IP assignments and contractor agreements
Assignments and moral rights waivers from every founder, employee and contractor who touched the code, models or training pipeline, so the company owns what investors think it owns.
Founder and financing documents
Incorporation, shareholder agreements with vesting, SAFEs and option plans for AI teams raising their first money.
Is AI regulated in Canada?
Not by a dedicated statute. The federal Artificial Intelligence and Data Act died when Parliament was prorogued in January 2025, and as of October 2026 there is no federal AI statute in force. A new federal privacy bill, Bill C-36, was introduced in June 2026 and would add transparency duties for automated decision systems, but it is not law yet. In the meantime:
Privacy law applies to AI. PIPEDA governs personal information used in training and in the product, and the Office of the Privacy Commissioner of Canada has published principles for responsible generative AI covering consent, appropriate purposes, openness and safeguards. Québec's Law 25 requires you to tell people when a decision about them is made exclusively by automated processing.
Ontario employers must disclose AI in hiring. Since January 1, 2026, Ontario employers with 25 or more employees must say in publicly advertised job postings if they use AI to screen, assess or select applicants.
Marketing claims about AI must be true. The Competition Act prohibits false or misleading representations, which includes overstated claims about what an AI product can do.
Selling into Europe brings in the EU AI Act. Its transparency duties, such as telling people they are interacting with AI, apply from August 2026, and most high-risk system obligations are scheduled for December 2027.
Who we work with
AI-native startups, B2B SaaS companies adding AI features, AI agencies and automation consultants, dev shops, and founders building apps and platforms across Ontario and the rest of Canada. Brooke Ash, the firm's founder, articled at Bennett Jones LLP and spent 2026 on the founding team of a legal AI company, so she understands how AI products are built, sold and procured.
How fixed-fee AI legal work works
Step 1: Book a free consultation and walk us through your product, data flows and customers.
Step 2: Get a written fixed-fee quote, plus HST, before any work begins.
Step 3: We draft, you get two rounds of revisions, and we tell you what needs to go in-product (clickwrap, consent settings, disclosures) so the documents actually work.
FAQ
Who owns AI-generated output in Canada?
Canadian copyright law has not settled whether purely AI-generated output is protected, so ownership of outputs is handled by contract. Your terms should say clearly who owns inputs and outputs and what rights you keep to operate and improve the service.
Can I use customer data to train my AI models?
Only if your contracts and privacy disclosures allow it and, where personal information is involved, you have a valid basis for that use. Enterprise customers often prohibit training on their data, so decide your position before you sign your first large customer.
Do I need a DPA if my product uses OpenAI, Anthropic or another model provider?
Usually yes. Your model provider is a subprocessor of your customers' data. Your DPA should disclose it, and you should check that the provider's own terms support the commitments you make to customers.
Book a free consultation to get a fixed-fee quote for your AI terms, SaaS agreement, DPA or privacy documents. Related: website and app terms and privacy, commercial agreements, startup, AI and tech law glossary.
Written by Brooke Ash, BA, JD, founder of For Founders Law PC, licensed by the Law Society of Ontario. Last reviewed October 2026. General information, not legal advice.