Jacob Turner#11124

Jacob Turner

Jacob Turner is a barrister at Fountain Court Chambers. He is the author of ‘Robot Rules: Regulating Artificial Intelligence’ (Springer, 2018) and a joint author of ‘The Law of Artificial Intelligence’ (Sweet & Maxwell, 2nd ed. 2024). Jacob has acted in some of the world’s most significant AI-related cases, including as counsel for Dr Thaler in the UK Supreme court in Thaler v Comptroller-General of Patents (the ‘AI Inventor’ case) and defending the first company investigated by the UK data protection regulator for alleged AI bias. Jacob is on the Attorney-General’s Panel of Counsel and has the Government on various aspects of AI regulation. He has been described in the Legal 500 directory as ‘the leading barrister in the AI space’ and is listed by Chambers and Partners as a ‘Global Leader in AI’.

In addition to his technology work, Jacob is frequently instructed in heavy commercial and sovereign matters. His clients include Venezuela, Libya, Argentina and India. Jacob was included in The Lawyer’s Hot 100 2025.

Contributed to

2

Artificial intelligence (AI) in the criminal justice system
Artificial intelligence (AI) in the criminal justice system
Practice Notes

This Practice Note addresses the ways in which artificial intelligence (AI) is being used in the UK criminal justice system, and offers some predictions as to how it may be used in the future. This Practice Note follows the lifecycle of a criminal case, from investigation to sentencing, explaining where and how AI might be used. It also considers the possible risks and challenges in using AI in the criminal justice system and the lack of legal reform in relation to AI enabled crime.

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

  • 2014

Experience

  • Cleary Gottlieb Steen & Hamilton LLP (2012 - 2017)
  • UK Supreme Court (2015 - 2016)

Qualifications

  • BA (2010)
  • MA (2013)
  • LLM (2011)

Education

  • Oxford University (2010)
  • Harvard Law School (2011)

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