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Explore practical playbooks, AI governance guides, and legal commentary to help you navigate complex data and technology challenges.

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Playbook

Enterprise AI MSA Playbook

For AI vendors, enterprise buyers, and their legal teams

Negotiate AI vendor agreements with a practical clause library, risk frameworks, and guidance across the seven key contract battlegrounds.

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Practical governance framework

AI Governance for Law Firms

For managing partners, firm administrators, and risk leaders

Build a defensible approach to legal AI with a four-pillar governance framework and a risk-rated use-case register.

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Articles and Insights

Browse legal analysis on privacy, AI governance, technology transactions, and product counsel.

Data Protection & Cybersecurity • August 21, 2026

Client AI Use and the Waiver of Privilege: What Canadian Litigators Need to Know

Can a client waive solicitor-client privilege by using ChatGPT? Heppner, Warner, and the Canadian doctrine every litigator needs to know—plus a five-step protocol.

Data Protection & Cybersecurity • August 20, 2026

Quebec Law 25 for SaaS: The Privacy Law Startups Ignore Until Procurement Asks

Law 25 is fully in force and applies to any SaaS company handling Quebec residents' data — no thresholds. Privacy officer, PIAs, consent, breach rules, and penalties up to 4% of global turnover.

Product Counsel • August 13, 2026

Does SOC 2 Cover Your AI Model?

Your SOC 2 report says nothing about your model. What the Trust Services Criteria actually cover, the AI-specific gaps buyers now probe, and where ISO 42001 fits.

Business Transactions • August 5, 2026

Acquiring an AI Company? The Training-Data Diligence That Determines What You Actually Own

Standard tech diligence assumes the target's core asset is code. With an AI company, you're buying data rights — and most of them are undocumented. The five workstreams that surface what you actually own.

Business Transactions • August 5, 2026

Business Acquisitions and PIPEDA: The Data Diligence That Deals Miss

PIPEDA's s. 7.2 business-transaction exception lets customer data move with a deal — but its conditions are more constrained than most deal teams assume. The diligence that protects value.

Business Transactions • August 5, 2026

The AI M&A Data Room: What Acquirers Will Ask For

The standard data room gets you through legal and financial review. AI-era acquirers ask for a second layer: training-data provenance, model dependencies, and governance artifacts most startups don't have.

Data Protection & Cybersecurity • July 30, 2026

Reviewing AI Model Training Data Rights: The Chain-of-Title Problem

Before you can rely on an AI model's outputs, you need to know where its training data came from. Here's how to review chain-of-title across licensed, scraped, customer, and synthetic data.

Product Counsel • July 29, 2026

How to Evaluate Fractional Privacy & AI Governance Counsel: 9 Criteria

Nine specific, checkable criteria for evaluating fractional privacy and AI governance counsel — plus how one Canadian boutique practice scores against them, disclosed transparently.

Product Counsel • July 28, 2026

Do Enterprise Buyers Actually Care About Your AI Governance Policy?

Enterprise buyers don't read your AI governance policy document. They care about five specific artifacts it produces. Here's the difference, and why it matters for how you build it.