Minesh Tanna#11082

Minesh Tanna

Minesh is a Partner in the firm’s Disputes & Investigations team and is the firm’s Global AI Lead.
Minesh’s practice focuses on contentious commercial and regulatory issues, principally in the tech sector. He represents clients on regulatory investigations, litigations and arbitrations, as well as advising on regulatory readiness.
 
Minesh is an industry-recognised leader in AI law. He is Chair of both the Society for Computers & Law (SCL) AI Group and the City of London Law Society (CLLS) AI Committee. Minesh is a published author, lecturer and speaker on AI, and has contributed chapters to AI law books including The Law of Artificial Intelligence (Sweet & Maxwell).
 
As the leader of Simmons’ Tier 1 Artificial Intelligence team, Minesh has been ranked in the AI ‘Hall of Fame’ by Legal 500 UK for 2024 & 2025. He has been described as “a titan in the industry”, “brilliant and a leader in the field”, “simply the best” and “one of the few real experts on the EU AI Act”.
 
Minesh’s expertise in AI law has also been recognised through various awards, including ‘Rising Star: Private Practice’ at the British Legal Awards 2022. His work on AI explainability was shortlisted at the Legal Innovation Awards 2022 and the Financial Times Innovative Lawyers Awards Europe 2022.
 
As a Solicitor-Advocate, Minesh appears as counsel in litigation and arbitration proceedings (under various institutional rules), as well as expert determination. Minesh has acted on complex disputes relating to AI, technology and telecoms equipment, IT services / outsourcing, software development and licensing, cloud services, and media rights. Minesh is an accredited mediator with the Society of Mediators and regularly advises clients on alternative dispute resolution.
Minesh holds a first class degree in Law from the University of Oxford. He has previously worked in Abu Dhabi, Dubai & Paris, and has also spent time working in-house in the regulatory investigations team of a global technology company.

Contributed to

1

Artificial intelligence—explainability
Artificial intelligence—explainability
Practice Notes

This Practice Note considers explainability in the context of artificial intelligence (AI), explaining what it is, why it is important, and the legal framework and regulatory guidance around explainability. It also offers an overview of practical techniques for achieving explainability in the development, implementation and use of AI.

Practice Area

Panel

  • Contributing Author

Qualified Year

  • 2013

Experience

  • Simmons & Simmons (March 2013 - Present)
  • Herbert Smith Freehills (March 2011 - March 2013)

Membership

  • Chair Membership Committee – The Academy of Experts
  • Chair, AI Group and SCL Trustee – Society for Computers and Law
  • Chair AI Committee – City of London Law Society

Qualification

  • First class degree in Law (2009)

Education

  • BPP Law School (2010)
  • University of Oxford (2005-2009)
  • Panthéon Assas Université (2007-2008)

If you expected to see yourself on this page, click here.