RELAF 2026
Reasoning with Evidence in
Law Enforcement and Forensics
RELAF 2026
Reasoning with Evidence in
Law Enforcement and Forensics
RELAF2026 explores how artificial intelligence can advance forensic analysis, digital evidence analysis, and evidential reasoning in judicial and law enforcement contexts. We invite submissions on novel Artificial Intelligence methods, systems, and case studies at the intersection of (digital) forensics, law enforcement practice, and evidence-based legal reasoning, including critical perspectives on legal and technical challenges.
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 for law enforcement data
Logical and probabilistic knowledge representation for forensics
Legal and ethical issues in the use of AI for forensics and law enforcement
Explainable and transparent AI for evidential decision-making
Simulation and synthetic data generation for forensic and law enforcement evaluation
Floris Bex - Utrecht University, the Netherlands - f.j.bex@uu.nl
Hans Henseler - Netherlands Forensic Institute & University of Applied Sciences Leiden, the Netherlands - h.henseler@nfi.nl
Sung Mi Park - Hallym University, South Korea - sungmi.park@hallym.ac.kr
Jee Won Park - Hallym University, South Korea
Roos Scheffers - Utrecht University, the Netherlands
Gwangjae Won - Hallym University, South Korea
Submissions due : April 25th, 2026 (AOE)
Acceptance Notification : May 17, 2026
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).
February 2, 2026 : RELAF site was launched