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Dr Holli Sargeant is a Research Fellow in Law at St John鈥檚 College, Cambridge. She completed her PhD in Law from the University of Cambridge in 2025 as a John Monash Scholar. She also holds an LLB (Hons) and BIR from Bond University, and a Graduate Diploma of Legal Practice from the College of Law Australia. Before her doctoral studies, she was admitted as a solicitor in Australia and worked at Herbert Smith Freehills.
Dr Sargeant's research explores the critical intersection of law and artificial intelligence, seeking to build robust frameworks for responsible AI governance. She is principally concerned with two key questions: how should our laws adapt to ensure that AI is designed and deployed ethically, and how can AI itself be leveraged to improve legal research and access to justice? Her doctoral thesis examined these questions within the context of consumer finance. It offered recommendations for regulation by analysing the corporate incentives for using new technology alongside the normative implications for consumers. As a Research Fellow at St John's, she is expanding this work into a new postdoctoral project. This project widens the scope to compare additional jurisdictions and different high-stakes applications of AI, with a particular focus on tackling the problem of algorithmic discrimination. Additionally, she explores AI's role in legal research and access to justice, including projects evaluating biases in legal datasets and the use of AI-assisted judicial decision-making.
Holli Sargeant & M氓ns Magnusson. (2025). Formalising Anti-Discrimination Law in Automated Decision Systems. Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 181-194
Sophia Adams-Bhatti & Holli Sargeant. (2024). Algorithms in the Justice System: Current Practices, Legal and Ethical Challenges. In M. Lavy & M. Hervey (Eds.), The Law of Artificial Intelligence. Sweet & Maxwell.
Holli Sargeant. (2023). Algorithmic Decision-Making in Financial Services: Economic and Normative Outcomes in Consumer Credit. AI and Ethics, 3(1). Awarded Best Doctoral Paper, Society of Legal Scholars.
Andreas 脰stling, Holli Sargeant, Helena Xie, Ludwig Bull, Alex Terenin, Leif Jonsson, M氓ns Magnusson & Felix Steffek. (2023). The Cambridge Law Corpus: A Dataset for Legal AI Research. Advances in Neural Information Processing Systems, 36, 41355-41385.
