Advanced Programme on AI Law and Policy

Overview

This intensive professional development programme will equip senior lawyers and in-house counsel with the tools to advise clients and organisations deploying AI at scale.

Over three days at Oxford, participants will examine the most pressing challenges AI poses to legal practice and analyse how AI reshapes legal frameworks through focused sessions.

The curriculum is designed around seven core seminars, each addressing a specific regulatory or doctrinal problem already appearing in regulatory investigations, boardrooms, or litigation.

Participants will gain a sophisticated understanding of how legal frameworks apply to AI systems and where they fall short. By the end of the programme, they will have a grasp of key regulatory instruments (including the EU AI Act and GDPR), the ability to critically assess AI-related legal and compliance risk across businesses within different areas of practice, and the conceptual tools to evaluate new regulatory proposals and enforcement trends.

The programme is designed for lawyers who want to position themselves as AI advisors inside their firms or organisations, lead AI-related client work, and build a professional profile in one of the fastest-growing areas of legal risk and regulation.

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Course in brief

Course length

2.5 days

Participants will access the latest research and practical insights from our faculty, complemented by expert speakers to create an immersive learning environment. You will gain an executive-level legal knowledge on deploying, procuring, regulating or litigating over AI systems.

Date: 28-30 September 2026

Location: Worcester College, Oxford

Cost: £3,600 plus accommodation (£350), including all meals and formal college dinner with keynote speaker

Available spaces: c40

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Contact: pdp@law.ox.ac.uk

Who the programme is for?

This programme is designed for lawyers and in-house counsel whose clients or organisations are deploying, procuring, regulating, or litigating over AI systems. No technical background is required: the programme is not a technology course but an executive-level legal training designed for lawyers who are expected to lead on AI law. It is particularly suited for senior lawyers in private practice, in-house counsel, regulators, and professionals working in compliance or advisory roles and need to future-proof their practice.

Typical participants will be advising clients or institutions on compliance, working on litigation involving AI liability, or designing internal governance frameworks for AI. Others may be policymakers or public sector professionals tasked with developing AI policy or professionals working on regulatory reform. What unites them is the need to understand how AI systems challenge core legal categories and what legal frameworks are best suited to meet those challenges.

What the programme will cover

AI regulation
AI governance and risk management
Bias, discrimination, and employment exposure
Transparency and explainability
IP and copyright risks in generative AI
Litigation and accountability for AI-driven harms

Benefits to you

Benefits to your organisation

Leave with a practitioner-ready framework for advising on AI risk, governance, compliance, and liability across multiple areas of law.
Develop the authority to lead AI-related matters inside your firm or organisation. Build confidence to address AI law questions with clients, colleagues, and regulators without a technical background.
Gain a structured, in-depth understanding of how AI challenges legal frameworks across core areas including anti-discrimination, liability, transparency, intellectual property, and data protection.
Acquire a working command of the EU AI Act and emerging global AI regimes, including how they are likely to be implemented, enforced, and litigated.
Learn through real-world case studies, enabling relevance to client advisory, compliance roles, and regulatory engagement, by mirroring the kinds of systems used by employers, platforms, financial institutions, and public bodies.
Discuss concrete dilemmas in AI deployment, enhancing your professional judgment and strategic thinking in advisory and policy roles
Benefit from direct interaction with leading academics, policy advisors, and legal practitioners with deep expertise at the intersection of law and AI.
Network with a cohort of senior legal professionals working at the forefront of technological change in law firms, companies, regulatory bodies, and the public sector.
Fulfil Continuing Professional Development (CPD) requirements with a high-quality, university-accredited programme.
Join the University of Oxford Faculty of Law Executive Education alumni network and remain connected with thought leadership in AI law, policy, and regulation.

Build internal capability in one of the fastest-growing areas of regulatory, litigation, and commercial risk.
Equip your organisation with an enhanced understanding of how AI affects liability exposure, compliance obligations, and operational risk across regulatory domains. Future-proof legal and compliance functions against fast-moving AI regulation and enforcement trends.
Apply learnings immediately to real-world business and legal challenges, from advising on automated decision systems to designing internal governance frameworks for AI.
Reduce regulatory, reputational, and litigation risk associated with AI deployment by strengthening internal capabilities in risk assessment and regulatory anticipation relating to AI.
Support business growth by enabling informed client advisory on AI-enabled products and services, enabling sharing practical strategies across teams, departments, or practice areas, as well as scalable internal learning and improving interdisciplinary alignment.
Position your organisation as forward-thinking and informed in client advisory, regulatory response, and public-facing trust-building on the use of AI technologies, signaling market leadership.

Programme Faculty and Contributors

Programme Director

Ignacio Cofone is Professor of Law and Regulation of AI, working at the Faculty of Law and the Institute for Ethics in AI, and a governing body fellow of Reuben College. He is also an affiliated fellow of the Yale Law School Information Society Project and the Quebec AI Institute. Before joining Oxford, he was the Canada Research Chair in AI Law and Data Governance at McGill University.

Faculty experts

Ariel Ezrachi Slaughter and May Professor of Competition Law

Dev Gangjee Professor of Intellectual Property Law

Jeremias Adams-Prassl Professor of Law

John Armour Professor of Law and Finance and Dean of the Faculty of Law

Rebecca Williams Professor of Public Law and Criminal Law

* List of speakers may be subject to change

AI is rapidly becoming a core source of legal, regulatory, and commercial risk across every sector. Clients and business units are already deploying AI in hiring, credit, pricing, customer profiling, procurement, and decision-making—often faster than legal and compliance frameworks can adapt.