Artificial Intelligence and its Impact on the Legal Profession
Date: 2 Sep 2026
Time: 04.00PM to 05.15PM
Venue: SUSS Room at the State Courts
Event Type: Seminars
School/Department: School of Law
Register Now!Overview
Does AI mean the end of lawyers? This webinar will address how artificial intelligence is impacting the legal profession – from its effects on the nature of legal practice, AI risk management, legal accountability and the ethical use of AI, as well as how legal roles may evolve in the future. Legal professionals will gain insights from an expert panel that includes representatives from private practice, academia and government, who will examine the current and emerging developments and how lawyers can prepare for AI-driven change.
Seminar Information
1.5 Public CPD Points
Practice Area: Contemporary issues in legal practice
Training Level: General
Course Fee: $54.50
Registration Deadline: 26 August 2026
Event ID: EV26000157
Programme

Convenor
Mr Lance Ang (SUSS)
Lance Ang is a Lecturer at the School of Law, Singapore University of Social Sciences, and a Research Associate at the Centre for Business Research, Judge Business School, University of Cambridge. As the recipient of the Lee Kuan Yew Fitzwilliam Scholarship, Lance graduated with the Master of Law (First Class Honours) from the University of Cambridge, where he was awarded the 1912 Senior Scholarship, David Pearl Prize and Fitzwilliam Society JRW Alexander Law Book Grant.
Lance has published his work in several international journals, including the Law Quarterly Review, Capital Markets Law Journal, Journal of Private International Law, Asian Journal of Comparative Law, and Chinese Journal of Comparative Law. He has been invited to present his work at law schools internationally, including Stanford Law School, University of Oxford, and University of Cambridge.
He was recently shortlisted for the Best Paper prize at the 2025 Annual Conference of the Society of Legal Scholars. Lance has also been awarded the CIBEL Global Network Young Scholar Prize from the Herbert Smith Freehills CIBEL Centre, UNSW Law & Justice, the High Commendation Prize from the Corporate Law Teachers Association, and the ICGRG Routledge Prize at the Chinese University of Hong Kong.
Speakers
Professor Felix Steffek (University of Cambridge)
Felix Steffek is Professor of Law at the University of Cambridge and Professorial Fellow (Privileges) at Newnham College. He serves as Deputy Chair of the Faculty of Law and Co-Director of the Centre for Corporate and Commercial Law (3CL). He is Global Distinguished Professor of Law at the University of Notre Dame, Research Member of the European Corporate Governance Institute (ECGI), Principal Legal AI Advisor at Thomson Reuters and Associate Director of the TR Imperial Frontier AI Lab.
His research interests cover corporate finance and insolvency law, artificial intelligence, dispute resolution and commercial law. He has advised international organisations, governments, parliaments, courts and startups in these areas. He serves on the Board of Cambridge University Press & Assessment.
Felix Steffek is leading multiple research projects on artificial intelligence and law, among them the Nuffield Foundation funded project on ‘Access to Justice Through Artificial Intelligence’ and the EPSRC funded project on ‘Neuro-Symbolic Debates for Safeguarded Generative AI’.
Ms Cheryl Seah (Drew and Napier LLC)
Cheryl Seah is a Director at Drew & Napier LLC. Her key practice areas are Telecommunications, Media & Technology (TMT), and Artificial Intelligence (AI) and Digital Trust.
Cheryl advises clients on IT and procurement issues, as well as regulatory matters ranging from cybersecurity to payment services to gaming. She also advises on legal, contractual, and governance issues across the AI life-cycle: from procuring computing resources and compliance with export controls, to the data used in model training, and to IP and liability issues arising from AI output.
Cheryl publishes frequently on legal issues arising from the use of AI with the Law Society of Singapore. Her work has been cited in a Singapore regulator's report, awarded "Best Feature Article" in the 2024 Law Gazette Awards, and featured in the Law Society's yearly top 10 most read articles. She is an Industry Fellow at the Singapore Management University’s Centre for Digital Law, and has conducted talks on AI for organisations and industry associations, lawyers, local and ASEAN regulators, and at universities in Singapore, Europe, and China.
She is the Co-Vice Chairperson of the Law Society of Singapore’s Generative AI Committee, and co-chairs a working group with IMDA looking into legal responsibility for AI agents.
Mr Lim Joo Hong (Ministry of Law)
Joo Hong is the Director of Legal Technology Transformation Office (LTTO) at the Singapore Ministry of Law. He leads efforts to advance Singapore's legal sector through legaltech strategies, thereby strengthening Singapore’s status as an international legal services hub.
His team drives key initiatives such as funding and change management programmes to support law firms in adopting legaltech and fostering innovation, developing guides for the responsible use of generative AI in Singapore’s legal services sector, and enhancing the vibrancy of Singapore's legaltech ecosystem. His team also collaborates with institutes of higher learning on cutting-edge legaltech research projects and engages in international partnerships to strengthen global legaltech collaboration.
SILE Attendance Policy
Participants who wish to obtain CPD Points are reminded that they must comply strictly with the Attendance Policy set out in the CPD Guidelines. For this activity, this includes logging in at the start of the webinar and logging out at the conclusion of the webinar in the manner required by the organiser, and not being away from the entire activity for more than 15 minutes. Participants who do not comply with the Attendance Policy will not be able to obtain CPD Points for attending the activity. Please refer to http://www.sileCPDcentre.sg for more information.
.png?sfvrsn=3ff28c3b_3)