Law 25 Compliance: AI Tools That Meet Quebec's Standard

Law 25 compliance is now a prerequisite for any AI tool touching Quebec residents' personal information — not an afterthought. Under sections 12 and 14, organizations must secure explicit consent and put technical safeguards in place before deploying AI systems that process that data. The Commission d'accès à l'information du Québec (CAI) enforces this with penalties reaching C$25 million or 4% of worldwide turnover under section 91.

Getting there requires real architectural decisions — where data lives, who controls processing, which vendors are even eligible — that most AI platforms simply don't address.

Understanding Law 25's AI requirements

Quebec's modernized private sector privacy law creates distinct obligations for AI deployment. Section 63.1 requires privacy impact assessments for automated decision-making systems. Section 67 mandates that organizations using AI for profiling obtain explicit consent and tell people when an automated decision affects them.

The law treats AI tools as information processing systems subject to the same protections as any other technology.

That single framing does a lot of work: it means a chatbot, a resume screener, and a legacy database are all held to the same consent, residency, and security bar under sections 8-18.

"Section 17 requires that personal information transferred outside Quebec receive protection equivalent to what the law provides. Most US-based AI platforms cannot meet this standard because of the CLOUD Act's requirement for US government data access, regardless of where the data is stored."

CAI guidance, first published in 2023 and still the operative interpretation, clarifies that uploading documents containing personal information to an AI chat system counts as "communication" under section 17. The receiving system has to offer protection equivalent to Quebec's standard — most don't.

Data residency and cross-border transfers

Section 17 blocks transferring personal information outside Quebec unless the receiving jurisdiction offers equivalent protection. That creates an immediate problem for popular AI platforms hosted in the United States.

US platforms operating under the CLOUD Act allow US government access to data regardless of where it's physically stored, and the CAI treats that as incompatible with section 17's protection requirement.

Quebec law firms face particular exposure here. Client information uploaded to US-based systems risks both a Law 25 violation and a breach of Barreau du Québec guidance on technology and confidentiality — two separate regulators, two separate downsides. Our related piece on whether Quebec businesses need Canadian-hosted AI walks through the residency question in more detail.

Organizations need AI tools with genuine Canadian data residency: Canadian corporate control, Canadian infrastructure, and freedom from US legal obligations that could compromise protection under section 17.

Consent

Sections 12 and 14 establish Quebec's consent framework, requiring explicit consent for personal information processing, and section 13 specifies that consent must be manifest, free, and informed.

Generic terms of service don't satisfy this. Organizations must provide clear information about:

• What personal information the AI system will process
• The specific purposes for processing
• Whether the system makes automated decisions affecting individuals (section 67)
• How long information will be retained
• Whether information will be shared with third parties (section 17)

Consent can be withdrawn at any time under section 13. AI tools must support withdrawal and provide a way to delete personal information when consent is revoked, tied to the right to erasure under section 28.

Law firms carry an extra layer of complexity here. Solicitor-client privilege rules from the Barreau du Québec require confidentiality protections that exceed Law 25's statutory minimum, which means a tool that's merely Law 25-compliant may still fall short for legal practice.

PIAs and automated decisions

Section 63.1 requires a privacy impact assessment before implementing systems that carry elevated privacy risk, and AI tools often trigger this because of their capacity for automated profiling.

The CAI's PIA framework weighs several factors:

• Volume and sensitivity of personal information processed
• Automated decision-making capabilities (section 67)
• Data sharing arrangements (section 17)
• Security measures and breach risk
• Individual rights protection mechanisms (sections 27-33)

Organizations using AI for hiring, credit decisions, or client assessment typically need a PIA. The assessment has to identify risks and mitigation measures before deployment — retrofitting it afterward doesn't satisfy the requirement. If you're building this documentation from scratch, a PIA documentation collaboration tool can shorten the process considerably, and pairing it with a broader look at AI governance platforms for Law 25 compliance helps map the full obligation set rather than tackling PIAs in isolation.

"Section 67 requires that individuals be informed when AI systems make decisions affecting them, with rights to obtain human intervention. This applies to recruitment, credit, and service-delivery systems alike."

High-risk PIAs — health information, biometric data, significant automated decisions — generally get submitted to the CAI directly.

Enforcement

The CAI's penalty structure is not subtle. Section 91 sets administrative monetary penalties at up to C$25 million or 4% of worldwide turnover, dwarfing federal PIPEDA's C$100,000 ceiling.

Recent enforcement backs this up. The Commission issued roughly C$2.8 million in penalties in 2024 for violations involving automated systems, citing both inadequate consent mechanisms and cross-border transfer problems.

Four things tend to trigger CAI attention:

• Individual complaints prompting investigations
• Audits of AI deployments
• Breach notifications that expose non-compliant processing
• Complaints to professional regulatory bodies (notably in legal and healthcare sectors)

If a breach does happen, the notification clock starts immediately — see our guide on AI data breach notification requirements in Canada for the specific timelines and who needs to be told. The CAI's most recent annual reporting shows a growing share of enforcement activity tied to AI and automated decision-making specifically.

Sector differences

Not every industry carries the same compliance load.

Legal services. Solicitor-client privilege requires that client information stay under lawyer control — something a CLOUD Act-exposed platform structurally cannot guarantee.

Healthcare. Section 19 creates special rules for health information, layering enhanced consent and security requirements on top of the baseline.

Financial services. Institutions answer to both Law 25 and PIPEDA simultaneously; where the two conflict, the stricter Quebec standard governs.

Professional services. Quebec SMBs in accounting, consulting, and engineering face the same underlying rules but may find simplified compliance pathways under CAI guidance aimed at smaller organizations. Federal procurement-adjacent standards add another layer for firms working with government clients — see our breakdown of CPCSC requirements for AI tooling if that applies to you.

Building for compliance, not around it

Law 25 compliance works best when it's architectural, not procedural.

That means Canadian data residency, explicit consent mechanisms, and processing controls built into the platform itself rather than bolted on with a policy document. Augure addresses this through sovereign Canadian infrastructure — the platform operates under Canadian corporate control with no US parent company or investor structure that could create CLOUD Act exposure.

Key features that actually move the needle on compliance:

• Data processing within Canadian borders
• Explicit consent collection and management
• Individual rights fulfillment — access, correction, deletion
• Audit trails suitable for regulatory review
• Integration with existing privacy management systems

"Privacy-by-design means choosing AI tools architected for compliance rather than retrofitting protections after deployment. This makes vendor selection the critical decision, not a footnote to it."

Evaluate vendor compliance capability before deployment, not after. Post-implementation remediation is slower, costlier, and rarely as clean as picking a compliant tool in the first place.

For context on the broader Canadian privacy landscape, the Office of the Privacy Commissioner of Canada publishes guidance on AI and automated decision systems that complements Quebec-specific CAI rulings, and the CAI's own published decisions are worth reviewing directly for organizations with active compliance programs.

Quebec organizations need AI tools designed for Law 25 compliance from the ground up, not adapted to it after the fact. Augure provides sovereign AI infrastructure that removes cross-border transfer risk while supporting the consent mechanisms and individual rights Law 25 requires. Learn more about compliant AI deployment at augureai.ca.