Paper Submission Deadline: April 25, 2026 (AoE)
Registration/Submission Link : Microsoft CMT Submission Link
The Workshop on Reasoning with Evidence in Law and Forensics (RELAF 2026) will be held in conjunction with the International Conference on Artificial Intelligence and Law (ICAIL 2026). The workshop builds on the AI & Law community’s tradition in computational evidential reasoning and AI-based support for legal and law enforcement professionals.
RELAF 2026 focuses on artificial intelligence for forensic analysis, digital evidence processing, and evidential reasoning in judicial and law enforcement contexts. It aims to foster interdisciplinary collaboration among AI researchers, forensic scientists, legal scholars, and practitioners, addressing both technical and legal challenges. Topics include formal models of evidential reasoning, machine learning and NLP for forensic information retrieval, knowledge-based representations of forensic expertise, and the use of large language models for evidence analysis, with particular attention to transparency, explainability, and legal compliance.
Topics of interest include, but are not limited to
AI legislation and its impact on law enforcement
Formal models of reasoning with evidence (e.g. argumentation, Bayesian networks)
Machine learning for forensics and legal information retrieval
Natural language processing and understanding for law enforcement data
Logical/probabilistic knowledge representation for forensics
Legal issues in using AI in forensics and law enforcement
Explainable and transparent AI methods for evidential decision-making
Simulation and synthetic data generation for forensic and law enforcement training and evaluation
Submissions due : April 25th, 2026 (AOE)
Acceptance Notification : May 11, 2026
We invite submissions of full papers (10-14 pages incl. bibliography) and short papers (5-9 pages incl. bibliography). Papers describing innovative applications are very welcome, particularly when a working demo can be shown at RELAF.
We would like to publish accepted papers as CEUR-workshop proceedings. Please follow the CEUR-WS template (LateX, ODT/Word).
Submissions can be submitted via the Microsoft CFT system.
Papers will be reviewed single-blind so authors do not have to anonymise their submissions (though they are allowed to do so).
The workshop is planned as a one-day event combining research presentations with hands-on, practice-oriented sessions. Accepted papers will undergo a light peer-review and be presented in thematically organised sessions, with a strong emphasis on applied work, system papers, and demonstrations.
A central element of the workshop will be a hands-on session featuring two AI tools for digital evidence and forensic analysis, allowing participants to directly engage with AI-based methods and reflect on their practical, legal, and technical implications.
Depending on the submissions, the format may be adapted to further encourage interaction, for example through a free-form demo session or an interdisciplinary panel discussion. Overall, the workshop aims to balance theory, practice, and discussion, fostering collaboration across the AI, forensic, and law enforcement communities.
The workshop will be held for a full-day on Monday 8th June in conjunction with ICAIL 2026, at the Singapore Management University (SMU) Campus. The workshop will be organised with hybrid in-person and remote participation available(ZOOM).
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.