EU AI Act in practice: what deployers should have in place in 2026
A practical governance framework for companies integrating third-party AI into products, internal workflows and customer-facing services.
Read note →Practical notes on AI, SaaS, venture, privacy, fintech and disputes.
A practical governance framework for companies integrating third-party AI into products, internal workflows and customer-facing services.
Read note →Why SCCs and transfer assessments are only the starting point, and how organisations can operationalise vendor, access and localisation controls.
Read note →A transaction-focused framework for assessing datasets, model dependencies, IP, open source, governance and customer commitments.
Read note →A practical procurement checklist covering data use, security, model changes, evaluation, liability, regulatory support and exit planning.
Read note →How buyers can identify licence obligations, provenance gaps, dependency risk and remediation priorities without turning diligence into a code inventory exercise.
Read note →The clauses most likely to block deals, why customers care about them, and how suppliers can build credible fallback positions.
Read note →A practical overview of perimeter analysis, licensing models, outsourcing, customer disclosures and operational readiness for multi-market launches.
Read note →A legal and operational response framework for preserving privilege, establishing facts, assessing notification duties and coordinating communications.
Read note →How early evidence, system access, contract rights and commercial dependencies can shape the outcome before formal proceedings begin.
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