For almost 40 years, the JURIX conference has provided an international forum for research on the intersection of Law, Artificial Intelligence, and Information Systems, under the auspices of the JURIX Foundation for Legal Knowledge 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 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

I — Theory and Foundations

• 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., 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

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

Submission Guidelines

The deadline for paper submission is September 6, 2024 (AoE) // EXTENDED September 14, 2024 (AoE). Abstract submission (August 30, 2024) 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. Papers are to be submitted in PDF format through Easychair (link TBD).

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 paper: 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 AI & 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.

Important dates

• Abstract submission: August 30, 2024 (recommended)
• Paper (short and long) submission: September 6, 2024 // EXTENDED September 14, 2024
• Notification of acceptance of regular papers: October 11, 2024
• Camera ready deadline: October 25, 2024
• Workshops, Tutorials, and Doctoral Consortium: December 11, 2024
• Main conference: December 12 and 13, 2024

Contacts

Program Chair: Jaromir Savelka, Carnegie Mellon University, Pittsburgh, USA

Organizing Co-Chairs: Jakub Harasta, Tereza Novotna and Jakub Misek, Masaryk University, Brno, Czechia

For questions, please contact the Program Chair (jsavelka@cs.cmu.edu).