
۱۹ آذر - ۲۰ آذر ۱۴۰۴
International Conference on Legal Knowledge and Information Systems
هنوز دنبالکنندهای وجود ندارد.
نمای کلی
The 38th International Conference on Legal Knowledge and Information Systems (JURIX 2025) will be held in Turin, Italy, from December 9-11, 2025. The conference focuses on the intersection of Artificial Intelligence, Information Systems, and Law, providing a forum for research on legal information, legal knowledge systems, and computational approaches to law.
JURIX 2025: Call for Papers
The 38th International Conference on Legal Knowledge and Information Systems (JURIX 2025) will be held in Turin, Italy, from December 9-11, 2025.
The JURIX conference series aims to foster scientific exchange between researchers, practitioners, and students dedicated to exploring 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, and computational and socio-technical approaches to law.
Topics
The conference covers foundations, methods, tools, systems, interfaces, and applications. Submissions are invited in the following areas, but 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
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Paper submission deadline: September 4, 2025
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Abstract submission deadline (recommended): August 28, 2025
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Paper Categories:
- Long papers: Reports of well-developed and original research (max 10 pages, excluding references).
- Short papers: Descriptions of preliminary results or an innovative idea (max 5 pages, excluding references).
- Poster papers: Descriptions of a system or research projects in very early stage (max 2 pages, excluding references). Authors must be willing to prepare and present a poster.
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All papers must be original and not simultaneously submitted to another journal or conference.
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Format: Papers should be formatted using the styles and guidelines in the IOS Press Instructions for Authors.
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Review: Submissions are prepared for single-blind peer review.
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Proceedings: Published by IOS Press in their series Frontiers in Artificial Intelligence and Applications (FAIA) as gold open access.
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Submission Platform: Easychair
Important Dates
- Abstract submission deadline: August 28, 2025 (recommended)
- Paper submission deadline: September 4, 2025
- Notification of acceptance: October 8, 2025
- Camera-ready deadline: October 15, 2025
- Workshops, Tutorials, and Doctoral Consortium: December 9, 2025
- Main Conference: December 10-11, 2025
Organization and Contacts
- Program Chair: Réka Markovich – University of Luxembourg, Luxembourg (reka.markovich@uni.lu)
- Organizing Chairs: Luigi Di Caro, Amon Rapp, Claudio Schifanella – University of Turin, Italy
Conference Website: https://jurix2025.di.unito.it/
تاریخهای مهم
تاریخهای کنفرانس
Conference Date
۱۹ آذر ۱۴۰۴ → ۲۰ آذر ۱۴۰۴
- ۱۸ آذر ۱۴۰۴ - ۲۰ آذر ۱۴۰۴
ارسال مقاله
Abstract submission deadline
۶ شهریور ۱۴۰۴
Paper submission deadline
۱۳ شهریور ۱۴۰۴
اعلان
Notification of acceptance
۱۶ مهر ۱۴۰۴
نسخه نهایی
Camera-ready deadline
۲۳ مهر ۱۴۰۴
تاریخهای دیگر
Workshops, Tutorials, and Doctoral Consortium
۱۸ آذر ۱۴۰۴
رتبه منبع
منبع: CORE2023
رتبه: C
حوزه پژوهشی: Applied computing