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AI is now a privacy problem. Privacy is now an AI governance problem. Most legal resources still treat them as two different subjects - this handbook treats them as the single field they've become.
Every AI system of consequence runs on data, processes data, and produces outputs that trigger privacy obligations the moment they touch a hiring decision, a credit file, or a patient record. Lawyers, compliance officers, and regulators working at this intersection need more than a privacy law refresher or an AI ethics primer - they need a working map of both fields together.
The Complete Data Privacy & AI Governance Handbook delivers that map in a single, practitioner-focused volume. Inside, you'll find:
Written by an Advocate with an LLM in International Commercial Arbitration working at the intersection of AI, law, and cybersecurity, this handbook is built to be read cover to cover in a weekend - and kept within reach as a working desk reference after.
Whether you're a practicing lawyer building AI competence, a compliance officer standing up a governance program, an NCA candidate or internationally trained lawyer building your Canadian legal toolkit, or a law student preparing for where the profession is heading, this is the single volume that gets you fluent across the whole field.
Stop treating privacy law and AI governance as separate subjects. They stopped being separate years ago.
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