ICAIL 2025 -- Second Call For Papers and Demonstrations

20th International Conference on Artificial Intelligence and Law
Northwestern University, Chicago, Illinois
16-20 June 2025
https://sites.northwestern.edu/icail2025/cfp/

**UPDATE** The site for submitting papers and demos is now open: https://www.conftool.net/icail2025/.

Since 1987, the International Conference on Artificial Intelligence and Law (ICAIL) has been the foremost international conference addressing research in Artificial Intelligence and Law. It is organized under the auspices of the International Association for Artificial Intelligence and Law (IAAIL). The conference proceedings are published by ACM. We invite submissions of papers, technology demonstrations, as well as proposals for workshops and tutorials.

Organization

• Northwestern University (at Pritzker School of Law, Chicago)
• Program Chair: Juliano Maranhão (University of São Paulo, Brazil), julianomaranhao@usp.br
• Local Chair: Dan Linna (Northwestern University, US), daniel.linna@law.northwestern.edu
• Local co-Chair: Kris Hammond (Northwestern University, US), kristian.hammond@northwestern.edu
• IAAIL Secretary-Treasurer: Michał Araszkiewicz (Jagiellonian University in Kraków, Poland), michal.araszkiewicz@uj.edu.pl

Call for Papers

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
• Open and linked data in the legal domain
• Smart contracts and application of blockchain in the legal domain
• Visualization techniques for legal information and data

Paper Submission

Papers (up to 10 pages including references for long papers, up to 5 pages including references for short papers) should present contributions from relevant topics. To maintain ICAIL’s relevance in the larger rapidly-moving field at the intersection of law and artificial intelligence, all papers must make clear their relation to legal information, reasoning, or processes. There should be a statement about the novel scientific contribution. The relation to prior work must be well-developed. The paper ought to report a full and satisfying discussion of its findings.

Papers on generative AI, machine learning or data mining should include discussions of the data, methodology, results, and analysis in sufficient depth beyond merely reporting metrics.
Submissions focusing on the reproduction, validation, constructive scrutinization, and extension of previously published works, datasets, and benchmarks are strongly encouraged.
Papers proposing formal or computational models should provide examples and/or reproducible simulations.
Papers on applications should describe the motivations, techniques, implementation, and evaluation.
All papers should include some discussion about the relevance to legal theory, practice, use of legal information, or impact on processes.
It is highly recommended that code and data be published alongside the papers for all submissions to facilitate reproducibility. Program committee members will be instructed to take data and code sharing into account in their reviews.

Paper must be formatted using the ACM sigconf template (for LaTeX) or the interim template layout.docx (for Word), both at http://www.acm.org/publications/proceedings-template All papers should be converted to PDF prior to electronic submission. Papers that do not adhere to these conditions will be rejected without review.

Submissions should be uploaded to the conference support system, https://www.conftool.net/icail2025/, by the submission deadline.

Reviewing will be double-blind. Papers submitted for review must not include names and affiliations of the authors and not include an acknowledgments section. Any identifying text in the body of the paper (e.g. citing “our work”) should be removed or rephrased to be non-identifying. These aspects can be added at the camera-ready stage. Therefore, prior to submission of the paper, the authors should first register the paper on the conference support system in order to receive an ID number for the paper. Then, in order to submit the paper, the paper should be revised so that the ID number of the paper replaces the names and affiliations of the authors. The references should include published literature relevant to the paper, including previous works of the authors, though care should be taken in the style of writing in order to preserve anonymity. References to code and data intended to be published alongside the papers are to be phrased such that anonymity is preserved.

Submitted papers may not be published as open access preprints before acceptance notifications have been sent. Papers that have already been published as preprints at the time of submission for review must be flagged as such in the review system and must not reference the preprint in the paper.

Papers submitted not adhering to the page limitation or the anonymity requirements may be rejected without review.

Demonstrations

A session will be organized for the demonstration of creative, robust, and practical working applications and tools. Where a demonstration is not connected to a submitted paper, a two-page extended abstract about the system should be submitted for review, via the conference support system and following the instructions on paper submission. Accepted extended abstracts will be published in the conference proceedings. For those demonstrations that are connected to a submitted paper, no separate statement about the demonstration needs to be submitted, but the author(s) should send an email to the Program Chair by the demo submission deadline to register their interest in demonstrating their work at this session.

Awards

IAAIL has established three different awards, to be presented at the conference banquet.

Donald H. Berman Award for Best Student Paper

The best student paper award is in memory of Donald H. Berman, a professor of law at Northeastern University, who was a co-founder of the Artificial Intelligence and Law journal. The award consists of a cash gift and free attendance at ICAIL 2025. For a paper to be considered for the award, the student author(s) should be clearly designated as such when the paper is submitted using the facility provided by the submission system, and any non-student co-authors should provide a statement by email to the Program Chair that affirms that the paper is primarily student work.

Carole Hafner Award for Best Paper

The best paper award is given in memory of Carole Hafner, an associate professor of computer science at Northeastern University. She was one of the founders of the ICAIL conference and a co-founding editor of the journal Artificial Intelligence and Law.

Peter Jackson Award for Best Innovative Application Paper

The best innovative application paper award is dedicated to the memory of Peter Jackson, Thomson Reuters’ Chief Research Scientist, who was a strong supporter of the ICAIL conferences and a significant contributor to the development of advanced technologies in AI and Law.

Relevant dates

Workshop and Tutorial Proposals Submission: 20 December 2024 (extended)
Paper Submission: 17 January 2025
Demonstration Submission including extended abstracts: 24 January 2025
Notification of acceptance for Papers and Demonstrations: 14 April 2025
Registration opens: 14 April 2025 (tentative)
Camera Ready papers due: 05 May 2025
Conference: 16-20 June 2025