The Center for Artificial Intelligence for Law brings together researchers in artificial intelligence, law, public policy, business and social science to study the reliability, governance and application of AI in legal and other high-stakes professional settings. Starting from practical problems in legal reasoning, evidence verification and professional decision-making, the Center connects technical research with institutional analysis.
LEXFLOW 2027 invites contributions on intelligent interfaces for human–AI legal reasoning. Taking place alongside ACM IUI 2027 in Helsinki, the workshop will explore how people can understand, supervise and steer legal workflows involving multiple AI agents, tools and evidence sources.
The Academic and Practice Seminar on Legal Technology brought together researchers, lawyers, legal information providers and technology developers at HKUST Business School Central on 22 September 2026. Discussions examined how legal AI can support professional work through reliable sources, verifiable reasoning and clear responsibilities.
In a China Daily commentary published on 6 September 2026, Thomas So highlighted LexiHK and its planned trial by Hong Kong’s Department of Justice. The article examined how AI adoption, shared infrastructure and digital dispute resolution could strengthen Hong Kong’s legal services.
Organised by Professor Sirui Han’s team at HKUST, the Trustworthy Legal Reasoning Workshop brought together legal and AI researchers at Singapore Management University. Twelve presentations across three sessions examined evaluation, professional practice, rights protection and accountability in legal AI.
LexiHK and Guangzhou Data Group’s judicial AI team held an initial exchange on 4 September 2026 under the Guangdong–Hong Kong smart city cooperation framework. The meeting explored legal AI applications across jurisdictions and identified potential collaboration in dispute resolution, financial compliance, practical use cases and legal datasets.
Dr Yikang Li delivered a seminar at HKUST on 4 February exploring the transition from AI towards artificial general intelligence and its potential implications for quantitative finance and trading. The event connected emerging research with perspectives from real-world financial applications.