Conference Information

ICAIL 2026: International Conference on Artificial Intelligence and Law

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Submission Date:
2026-03-31
Notification Date:
2026-04-17
Conference Date:
2026-06-08
Location:
Singapore
Years:
21
ICORE: C   Viewed: 25   Tracked: 0   Attend: 0

Call For Papers

ICAIL 2026 (International Conference on Artificial Intelligence and Law) is a ICORE C conference held in Singapore on 2026-06-08. The paper submission deadline is 2026-03-31. Acceptance notifications are sent on 2026-04-17.

Topics We invite submission of original papers on Artificial Intelligence & Law, covering foundations, methods, tools, systems and applications. Topics may include, but are not limited to, the following: Argument mining on legal texts Classification and automatic summarization of legal text Computational methods for negotiation and contract formation Computer-assisted dispute resolution Computable representations of legal rules and domain specific languages for the law Decision support systems in the legal domain Deep learning on data and text from the legal domain Dialog systems in the legal domain e-discovery and e-disclosure e-government, e-democracy and e-justice Empirical research (quantitative and qualitative analysis) on the use of AI systems in legal practice (for example in law courts, lawmaking, legal education and legislative/normative or adjudicative activities in public administration) Innovative applications in AI and Law Philosophical and legal-theoretical analysis of the significance and implications of methodologies or technical features of AI systems (particularly in applications to Law) with respect to fundamental legal concepts and ethical issues. Systems and methods designed for compliance checking with respect to normative principles, rules and standards (legal or ethical) Methodologies for the technical design in AI systems of compliance with normative principles, rules and standards of trustworthy or responsible AI Explainable AI for the legal domain Formal and computational models of legal reasoning (e.g., argumentation, case-based reasoning), including deontic logics Formal and conceptual modeling of fundamental legal concepts Formal and computational models of evidential reasoning Formal models of norms and norm-governed systems Information extraction from legal databases and texts Information retrieval, question answering, and literature recommendation in the legal domain Intelligent legal tutoring systems Intelligent support systems for forensics Interdisciplinary applications of legal informatics methods and systems Knowledge acquisition techniques for the legal domain, including related applications of natural language processing, argument, and data mining Knowledge representation, knowledge engineering, and ontologies in the legal domain Legal design involving AI techniques Machine learning and data analytics applied to the legal domain Natural language processing of legal text, including law-specific standard NLP tasks (e.g., Named Entity Recognition, Semantic Role Labeling, Translation, etc.) Applications of generative AI systems (LLMs) to the legal domain in connection to machine learning systems or knowledge representation systems Normative reasoning by autonomous agents Neuro-symbolic approaches in the legal domain Open and linked data in the legal domain Smart contracts and application of blockchain in the legal domain Visualisation techniques for legal information and data
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