Call for Papers

Important Dates

(Long, short, poster) paper submission: September 4, 2025 (AoE)

Abstract submission (recommended): August 28, 2025

Topics

The JURIX conference has provided an international forum for research on the intersection of Artificial Intelligence and Information Systems with Law for decades, under the auspices of the JURIX Foundation for Legal Knowledge Based Systems.

The purpose of the JURIX conference series is to foster scientific exchange between researchers, practitioners, students, dedicated to exploring recent advancements, challenges, and opportunities of technologies applied to legal and para-legal activities. We invite submissions of original papers on legal information, legal knowledge-based systems, artificial intelligence and law, computational and socio-technical approaches to law and other normative systems, covering foundations, methods, tools, systems, interfaces, and applications. Papers should demonstrate added value, novelty of contribution and/or analysis, significance of the work, (formal) validity and/or proper evaluation.

Topics include, but are not limited to:

I – Logics and Normative Systems

Computational theories of law
Computational representations of legal rules and domain-specific languages (DSLs) for law

Formal logics and computational models of legal reasoning and decision-making (e.g., deontic logic, formal argumentation, statutory, rule-based, case-based, evidential reasoning), including relevant concepts such as qualification, causation, responsibility
Formal models of norms and norm-governed systems
Knowledge representation, knowledge engineering, and ontologies in the legal domain
Semantic web, open and linked data, mark-up languages for the legal domain
Normative reasoning by autonomous agents; multi-agent systems: norm operationalization, norm emergence
Computational methods for agent-based modelling for policy-making and norm-making
Computational methods for negotiation, contract formation, dispute resolution
Computational methods for preference aggregation and voting
Computational methods for compliance-checking, authorization, auditing, and regulation
Computational methods for AI and Data Governance

II – Natural Language Processing and Machine Learning

Argument mining on legal texts

- Machine learning methods and models for legal document classification, information retrieval, automatic summarization of legal text
- Machine learning methods and models in support to regulatory and contract drafting Natural language processing for legal text analysis, including law-specific standard NLP tasks (Named Entity Recognition, Semantic Role Labelling, Translation, etc.)
- Information extraction, text understanding (e.g. entailment) from legal data and texts
- Question-answering systems, chatbots, and dialog systems in the legal domain
- Network analysis applied to legal documents (statutory law, case law, jurisprudence) and legal data
- Knowledge discovery, Causal discovery, and Process mining in the legal domain
- Recommender systems in the legal domain
- Datasets and other resources that have a high potential to support significant future research in AI & Law
- Deployment of Large Language Models and conversational agents

III – Cognitive and Socio-Technical Systems

Cognitive computing and AI-enabled information systems for legal knowledge management (legal research and case management), legal data visualization, and decision support
Hybrid architectures (symbolic and sub-symbolic) in legal applications
Human-computer interaction in legal applications
Explainable AI for legal applications
Fairness and bias mitigation in AI systems for legal practices
Technical regulation of AI, data-sharing, information processing, and computing systems
AI-enabled information systems improving access to justice and equal opportunities
e-government, e-democracy, and e-justice
AI applications in legal education and training
Intelligent legal tutoring systems, intelligent support systems for forensics
Blockchain and DLT for Law and Governance

Submission and Publication

The deadline for paper submission is September 4, 2025 (AoE). Abstract submission (August 28, 2025) is recommended.

All submissions should be formatted using the styles and guidelines in the IOS Press Instructions for Authors (https://www.iospress.com/book-article-instructions) and prepared for single-blind peer review.

There are three categories of papers: long, short, and poster. Please indicate a desired category when you submit your paper. In exceptional cases, a long paper may be considered for acceptance as a short paper or a poster.

Long papers: reports of well-developed and original research. An accepted long paper scores well in terms of relevance, originality, technical quality, significance, literature review, presentation, reviewer's confidence, and overall evaluation. These should not exceed 10 pages (excluding references).
Short papers: descriptions of preliminary results or an innovative idea. These papers should not exceed 5 pages (excluding references).
Posters papers: (short) descriptions of a system or research projects in very early stage. These papers should not exceed 2 pages (excluding references). Authors of poster papers should be willing to prepare and present a poster at the conference.

All papers must be original and not simultaneously submitted to another journal or conference.

The papers are required to thoroughly reference relevant AI&Law literature, especially contributions from JURIX, ICAIL, and the Artificial Intelligence and Law journal as well as from other relevant venues.

The conference proceedings will be published by IOS Press in their series Frontiers in Artificial Intelligence and Applications (FAIA) as gold open access. The submission should happen through Easychair: https://easychair.org/conferences?conf=jurix2025

For questions, please contact the Program Chair Réka Markovich: reka.markovich@uni.lu

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