Ethical and Legal AI for Business Leaders

Minesh is a Partner in the firm’s Disputes & Investigations team and is also the firm’s Global AI Lead.

Minesh’s practice focuses on contentious commercial and regulatory issues, principally in the telecoms, media and technology (TMT) sector. He has represented numerous TMT clients on litigation, arbitration and investigation matters (including tech regulatory and data privacy investigations).

Minesh has acted on complex disputes relating to technology equipment, telecoms equipment, IT services / outsourcing, software development, licensing and maintenance, cloud services, AI and media rights.

As a Solicitor-Advocate (Higher Courts Civil), Minesh appears as counsel in litigation and arbitration proceedings. He has experience of arbitration under the LCIA, ICC, HKIAC, SIAC, DIAC, ADCCAC and UNCITRAL rules, as well as expert determination. Minesh is an accredited mediator with the Society of Mediators and regularly advises clients on alternative dispute resolution.

Minesh is an industry-recognised leader in AI law. He is Chair of the Society for Computers and Law (SCL) AI Group, he has contributed chapters in Artificial Intelligence: Law and Regulation and is currently writing chapters for another forthcoming book on AI law, and he is regularly invited to speak at events on AI law (he has previously spoken on behalf of the United Nations). Minesh increasingly advises clients across all sectors on legal, regulatory and ethical issues relating to AI (including data privacy issues, contractual AI issues, responsible AI and AI disputes).

Minesh’s expertise in AI law has been recognised through various awards, including ‘Rising Star: Private Practice’ at the British Legal Awards 2022. His work on AI explainability – including advising on the world’s first AI Explainability Statement to receive input from a regulator – was shortlisted at the Legal Innovation Awards 2022 and the Financial Times Innovative Lawyers Awards Europe 2022.

Minesh has a first class degree in Law from the University of Oxford. He has previously worked in Abu Dhabi, Dubai and Paris, and has also spent time working in-house in the regulatory investigations team of a ‘big tech’ company.

Jayne is a partner in the Disputes & Investigations team and heads up the TMT disputes group. Jayne has extensive experience of complex, high-value disputes, in international arbitration, litigation and mediation. She is focused on the fields of technology and telecoms and has been awarded an Executive Certificate in Computer Science for Lawyers, from Harvard Law School. Jayne is an active member of the firm’s International Arbitration Group and is also a member of the Chartered Institute of Arbitrators, and the Young LCIA and ICC groups.

David Egan is the Assistant General Counsel for Global Digital and Privacy at GSK, where he leads on AIML and digital initiatives. He is a qualified lawyer with experience in top tier law firms and in-house. David graduated with an M.Eng in Computing from Imperial College London and started his career as a software engineer before qualifying as a solicitor and practising IP and technology law. David has experience in the technology, communications, life sciences and energy sectors, providing strategic and pragmatic digital, IP, and commercial legal advice.

Tom Niven is Accenture’s UKI Lead for Responsible AI, based in London. Tom helps organisations to scale the use of data and AI responsibly and ethically. Combining the pragmatic insights gained from 17 years (including Financial Services) and working across a range of responsible AI programs. Tom’s specialties are AI governance and risk frameworks and practical steps for scaling responsible AI.

Ivan Serwano is a Responsible AI & Data Governance professional at PricewaterhouseCoopers’ CDO office. In this role, Ivan integrates ethical considerations into the firm’s innovation, strategic initiatives, leadership practices, and the daily use of data in AI and analytics. Ivan is also completing a PhD in Philosophy (AI Theory) from the University of York. His academic pursuits at York have centred around research and teaching on the ethics of AI and AI governance. Beyond academia, Ivan has amassed practical experience by providing consulting and advisory services on ethical innovation and considerations for various AI projects across the globe.