We are a network of researchers and postgraduate students from the School of Law and the School of Computer Science.

Our members have a wide range of interests, including algorithmic accountability, cyber security, robotics, political philosophy, machine learning, copyright law, and many others. The goals of the Law and Tech Cluster include:


  • ¬†Fostering a network of researchers whose work we would otherwise never encounter; lowering the barrier for getting in touch with researchers who are not in our School;
  • ¬†Providing a supportive, non-judgemental space to encourage and practise, and learn how to engage in effective cross-disciplinary communication, and learn about concepts and perspectives we otherwise would not encounter, helping to integrate and expand our knowledge and expertise;
  • Creating opportunities for asking questions / asking for feedback from researchers from the other discipline;
  • Maintaining a platform for sharing news and opportunities which could potentially inspire collaboration between our members.
We hold two Cluster meetings per term, where we welcome presentations from our members and external speakers. If you are interested in sharing your work (in progress), please get in touch. For upcoming and past events, click here.

The Law and Tech Cluster overlaps with the “Law, Technology, and Ethics” research theme within the Law School, but has a broader scope which includes Computer Science research.

If you are interested in joining the Cluster, please get in touch.

If you are a law student interested in learning more about digital technologies, check out our MSc in Responsible Data Science.

For information about the Law School’s “Algorithmic Accountability” project, click¬†here.