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JURIX 2026: International Conference on Legal Knowledge and Information Systems

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JURIX
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截稿日期:
2026-09-05
通知日期:
2026-10-08
会议日期:
2026-12-08
会议地点:
Toulouse, France
届数:
39
ICORE: C   浏览: 1527   关注: 0   参加: 0

会伴指数 (CP-I)

56.8 / 100
全站第 747 名 / 共 5,687 个会议 · 前 14%

信息系统与 Web 第 34 / 253

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
99
社区关注 (10%)
13
资料公开度 (15%)
35

用到的输入: 收录等级：ICORE C · 有据可查的届次：39 · 过去 24 个月打开过本页的研究者：5 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-30

征稿

JURIX 2026 (International Conference on Legal Knowledge and Information Systems) is a ICORE C conference held in Toulouse, France on 2026-12-08. The paper submission deadline is 2026-09-05. Acceptance notifications are sent on 2026-10-08.

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
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