The DMAIL 2025 workshop aims to bring together researchers, practitioners, and policymakers to explore cutting-edge developments in AI/data-driven legal analytics, judicial decision modeling, argument mining, and among others. This workshop seeks to address key challenges in applying DM/AI techniques to legal data, including legal text processing (e.g., information extraction, reasoning, retrieval, summarization, prediction), bias detection, ethical AI deployment in law, and others. It will provide a platform for discussions on innovative methodologies, emerging datasets, case studies, and real-world applications that can improve legal reasoning, transparency, and fairness in legal systems worldwide.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• The length of each paper submitted should be no more than 10 pages, and formatted following the standard 2-column U.S. letter style of IEEE Conference template. See the IEEE Proceedings Author Guidelines for further information and instructions.

• All submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to the scope of the special session, originality, significance, and clarity. The names and affiliations of authors must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews.

• Authors are also encouraged to submit supplementary materials, i.e., providing the source code and data through a GitHub-like public repository to support the reproducibility of their research results.

List of Topics

• Large-scale and high-quality datasets for legal DM and Intelligence
• Predictive modeling of court decisions
• AI-assisted legal reasoning and judgment prediction
• Legal document classification and question answering
• Case law retrieval and citation analysis
• Argument mining and reasoning in legal discourse
• Knowledge graph for legal DM
• Legal text generation and summarization using LLMs
• Chatbots and virtual legal assistants
• AI-enhanced legal research tools
• Applications of DM/AI for legislative and policy analysis
• Ethical and social implications of in AI for law
• Addressing bias mitigation and fairness of AI for law
• Explainability and security in legal AI applications
• Other related topics

Committees

Organizing committee

• Haihua Chen, University of North Texas, USA
• Ken Satoh, National Institute of Informatics, Japan
• Nguyen Ha Thanh, National Institute of Informatics, Japan
• Joel Niklaus, University of Bern, Switzerland
• Yang Zhang, University of North Texas, USA
• Sabine Wehnert, Otto von Guericke University Magdeburg, Germany

Publication

Accepted papers will be included in the IEEE ICDM Workshop Proceedings (separate from IEEE ICDM Main Conference Proceedings), and each workshop paper requires a full registration. Meanwhile, duplicate submissions of the same paper to more than one IEEE ICDM workshop are forbidden. 

Venue

The conference will be held in Washington DC, USA on November 12 2025 in conjunction with IEEE ICDM 2025

Contact

All questions about submissions should be emailed to: 

• dmailworkshop@gmail.com (General inquiry)
• Haihua.chen@unt.edu (Dr. Haihua Chen)