[CFP] RELAF 2026 - Workshop on Reasoning with Evidence in Law Enforcement and Forensics (part of ICAIL 2026 Singapore)
Henseler, Hans
Please find below the Call for Papers for the Workshop on Reasoning with Evidence in Law Enforcement and Forensics (RELAF 2026). This workshop is part of the long standing ICAIL (International Conference on AI and Law) conference which will be held in Singapore June 8-12, 2026. Here is a link to the conference: https://site.smu.edu.sg/icail-2026 .
Call for Papers
RELAF 2026 - Workshop on Reasoning with Evidence in Law Enforcement and Forensics
Monday 8th of June 2026
In conjunction with the 21st International Conference on AI and Law (ICAIL 2026), Singapore Management University, Singapore
https://sites.google.com/view/relaf/
RELAF2026 explores how artificial intelligence can advance forensic analysis, digital evidence analysis, and evidential reasoning in judicial and law enforcement contexts.
We invite submissions presenting novel Artificial Intelligence methods, systems and case studies at the intersection of (digital) forensics, law enforcement practice, and evidence-based legal reasoning. Beyond reporting successes, we also encourage critical perspectives on the limitations of current approaches and the legal and technical challenges of designing AI systems intended to support forensic, legal and law-enforcement professionals in their work.
For this first edition of the workshop, we are particularly interested in contributions on representing forensic expertise in machine-comprehensible knowledge bases, LLM applications for evidence retrieval and reasoning, and legal aspects of using AI in forensics and crime investigation.
The workshop will bring together AI researchers, forensic scientists, legal scholars and law enforcement practitioners to exchange ideas and showcase their work. It will include both research presentations and interactive sessions, with the goal of fostering cross-disciplinary collaboration, demonstrating practical prototypes, and pioneering methodologies for analyzing and reasoning with evidence.
Topics
Topics of interest include, but are not limited to:
- AI legislation and its impact on law enforcement and forensics
- 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
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).
Important Dates
- Submission of papers: 25 April, 2026 (AoE)
- Notification of acceptance: 17 May 2026
Venue
The workshop will be held for a full-day on either Monday 8 June or Friday 12 June in conjunction with ICAIL 2026, at the Singapore Management University in Singapore. The workshop will be organised with hybrid in-person and remote participation available. At least one author per accepted paper is expected to register and attend in person (although remote presentation is available).
Organisers
Floris Bex - Utrecht University, the Netherlands - f.j...@uu.nl
Hans Henseler - Netherlands Forensic Institute & University of Applied Sciences Leiden, the Netherlands - h.hen...@nfi.nl
Sung Mi Park - Hallym University, South Korea - sungm...@hallym.ac.kr
Timo Meconi - University of Groningen & Netherlands Forensic Institute
Jee Won Park - Hallym University, South Korea
Roos Scheffers - Utrecht University, the Netherlands
Gwangjae Won - Hallym University, South Korea
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