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Workshop • 16 July 2026
AICS-SOUNDS Colloquium on AI and Law
The AICS-SOUNDS Colloquium on AI and Law brought together researchers from computer science, law, and the social sciences to explore emerging questions at the intersection of artificial intelligence, legal reasoning, and public policy.
Organised jointly by AICS (AI, Computing & Society) and SOUNDS (Societal Observatory Using Novel Data Sources), the colloquium featured a series of short presentations on topics including large language models in legal decision-making, computational legal reasoning, content moderation, and institutional challenges in European climate policy. The afternoon was dedicated to collaborative discussions aimed at identifying future interdisciplinary research opportunities within the AI, Computing & Society (AICS) initiative.
Colloquium Objectives
The colloquium was designed to:
- Explore current research at the intersection of AI and law.
- Foster collaboration between researchers across disciplines.
- Identify promising directions for future joint research within AICS.
Morning Session
Impulse Talks
The morning session featured invited talks covering legal reasoning, artificial intelligence, public policy, and content moderation.
Florence Metz
Navigating the Climate Policy Paradox: Institutional Complexity and the Challenge of Policy Coherence in the EU
Florence Metz presented research examining institutional complexity and policy coherence in European climate governance, drawing on work supported by an ERC grant.
Johannes Kruse
Possibilities and Limits of LLMs in Law: From Simulating Legal Judgment to Debiasing Legal Decisions
Johannes Kruse discussed opportunities and limitations of applying large language models to legal decision-making, including questions of simulation, bias, and legal reasoning.
Tomas Koref
Computational Legal Reasoning
Tomas Koref introduced approaches to computational legal reasoning and the role of AI methods in supporting legal analysis.
Shounak Paul
Can LLMs Reason Like a Lawyer?
Shounak Paul explored whether large language models can perform forms of legal reasoning comparable to those used by legal professionals.
Abhisek Dash
Can LLMs Operationalize Content Moderation Policies?
Abhisek Dash presented research on applying large language models to the interpretation and operationalization of online content moderation policies.
Afternoon Session
Collaborative Discussions
Following the morning presentations, participants met for a working lunch before joining breakout discussions focused on future research directions.
The workshop concluded with a joint session in which participants summarized the main discussion points and identified opportunities for continued interdisciplinary collaboration within AICS.
