AI governance counsel for Vancouver businesses.

Counsel helps a Vancouver business turn AI plans into governed commercial decisions: identify use cases and data flows, allocate accountability, assess privacy and contractual exposure, set procurement controls, negotiate vendor terms, and create a practical record for customers, executives, and the board. The work is proportionate to the organization, sector, deployment, and jurisdictions involved.

Yes. We can review or negotiate an enterprise AI master services agreement and related order forms, data processing terms, security schedules, and acceptable-use language. The review connects the contract to the product and data flow, including training and data use, confidentiality, IP and output rights, security, subprocessors, warranties, indemnities, liability, auditability, model changes, exit, and deletion.

Bring counsel in before a vendor is selected or the paper becomes difficult to change—especially where personal, confidential, privileged, regulated, or customer data is involved; the tool makes or supports consequential decisions; the vendor can train on or retain inputs; or the purchase creates material customer, security, regulatory, or exit obligations. Early legal input can make the procurement question more precise.

They are connected but distinct questions. Privacy addresses information handling and legal authority; security addresses safeguards and resilience; IP addresses ownership, licensing, infringement, and permitted use; governance assigns accountability, risk classification, human oversight, monitoring, and review. A program is strongest when policy, technical controls, procurement, and contract terms say the same thing.

No. Organizations can begin with a proportionate governance approach based on existing privacy, confidentiality, security, consumer, employment, sector, and contractual obligations. NIST AI RMF and ISO/IEC 42001 are voluntary frameworks or standards, not laws. They may provide useful structure, but neither replaces analysis of the obligations that apply to the organization and use case.

Bring the proposed or current AI tool and vendor paper, a short description of the use case and users, the data involved and where it flows, existing privacy and security materials, customer commitments, procurement requirements, known incidents, and the decision or deadline ahead. A complete inventory is helpful but not required; we can start with one use case, vendor, MSA, or board question.