Call for Presentations (abstract submission only) - ASAIL 2025
Jack Mumford
Call for Presentations
ASAIL 2025 – The Seventh Workshop on Automated Semantic Analysis of Information in Legal Texts
Held in Conjunction with the 20th International Conference on Artificial Intelligence and Law (ICAIL 2025) (Online/In-person)
Submission Deadline: 27 May 2025 (AoE)
Notification of Acceptance: 30 May 2025
Presentation Format
ASAIL 2025 invites contributions from across disciplines, including early-stage research, experimental approaches, new ideas, and ongoing investigations. This is a space to share conceptual developments and receive constructive feedback from a diverse community.
To apply, submit a 150–200 word abstract to https://cmt3.research.microsoft.com/ASAIL2025 outlining your proposed presentation. Accepted presenters will:
- Give a 10-minute talk, followed by a 5-minute Q&A
- Participate in a panel discussion with other presenters
- Choose to present either in person at ICAIL 2025 or remotely via online participation
- Have the option to submit a full or short paper for inclusion in the ASAIL 2025 Workshop Proceedings
We welcome presentations from both seasoned researchers and newcomers. Whether you're developing a new methodology, exploring a niche application, or testing a novel NLP approach on legal texts, we encourage you to share your work.
Presenters will also be invited to submit full or short papers for inclusion in the ASAIL 2025 Workshop Proceedings. Any presenter wishing to submit will be required to do so by 17 August 2025. Proceedings will be published in Autumn (Fall) 2025.
Workshop Focus
ASAIL 2025 explores the automated semantic analysis of legal texts, emphasising how modern NLP and ML tools can interpret legal language at scale. The workshop aims to bridge legal scholarship, computational linguistics, and AI research through analysis of texts such as:
- Statutes, regulations, and judicial opinions
- Legal arguments and reasoning in case law
- Legislative and policy debates
- Contracts, compliance documents, and corporate policies
- Evidentiary and technical reports
- Testimony and narratives from self-represented litigants
Topics of Interest
Topics may include, but are not limited to:
- Semantic analysis using LLMs, foundation models, and transfer learning
- Domain adaptation of NLP tools to legal texts
- Extraction of legal norms, rules, and obligations
- Argument mining from court cases and legislative texts
- Fact-finding and precedent reasoning in case law
- Application of discourse analysis and pragmatics in legal NLP
- Annotation tools and legal-specific training datasets
- Summarization, visualization, and retrieval systems for legal texts
- Formal representations for legal reasoning and automation
- Explainable AI and human-AI interaction in legal contexts