AI Academy On-demand

The regulatory picture around AI is complex, cross-jurisdictional, and evolving fast. This session gives you a structured overview of where things stand. We start with the patchwork of existing laws that already apply to AI, then take a deep dive into the EU AI Act. We also cover the general purpose AI model rules, the EU AI Pact, and the supervisory architecture. The session closes with practical steps you can take right now: mapping your AI inventory, investing in AI literacy, putting AI policies in place, and using contracts as a building block of governance.

You'll come away with: A clear understanding of the EU AI Act's structure and what it requires, knowledge of the broader global regulatory landscape, and a practical checklist for mitigating AI-related risk in your organisation today.

AI both consumes intellectual property and generates new material that may or may not attract IP protection. This session unpacks that central tension across all the major pillars of IP law. We take you through the latest developments in copyright, emerging trademark risks in AI outputs, the relevance of database rights, and the uncomfortable fit between design rights and AI. We also look ahead to future areas of dispute, from retrieval augmented generation to AI agents, and review the legislative and regulatory timeline that will shape this area over the coming months.

You'll come away with: A thorough grounding in how IP law applies to AI inputs and outputs, awareness of the live litigation and consultations shaping the landscape, and practical guidance on protecting your position when developing, procuring, or using AI tools.

Good AI governance isn't a theoretical aspiration - it's a set of pragmatic, scalable controls that allow your organisation to manage risk while continuing to innovate. We set out what a practical AI governance framework actually looks like, starting with guiding principles, then moving into organisational structure, policies and processes, AI system mapping, assurance mechanisms, feedback loops, and incident response planning. We also cover the role of AI literacy as a governance essential and provides a clear implementation roadmap: start with the easy wins, then build out procurement processes, assurance playbooks, and advanced monitoring over time.

You'll come away with: A working model for what good AI governance looks like in practice, a phased implementation roadmap you can start using immediately, and an understanding of how to stay agile as the regulatory landscape continues to evolve.

Procuring or developing an AI tool is not the same as buying traditional software - and the contracts need to reflect that. This session walks you through the AI tech stack from a lawyer's perspective, explaining the web of contracts that sit between end users, enterprise clients, AI providers, developers, and training data licensors. We cover the key IP considerations when building in-house, the critical contractual clauses you need to understand when procuring, and the emerging market practice around AI addenda. The session closes with a practical case study involving an AI recruitment tool, allowing you to think through the real-world gaps in a traditional software agreement.

You'll come away with: A clear picture of the AI supply chain and where risk sits, knowledge of the contractual levers available to you, familiarity with real-life clause examples from major vendors, and a practical checklist for your next AI procurement or development project.