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The Journal of Artificial Intelligence and Legal Technology (JAILT) is an international, peer-reviewed, open-access journal committed to the advancement of interdisciplinary research at the intersection of artificial intelligence (AI) and legal technology. JAILT provides a platform for academics, practitioners, and policymakers to engage in discussions about the transformative role of AI in legal reasoning, decision-making, and governance.
JAILT publishes original research articles, review papers, and research notes that explore both theoretical and applied aspects of AI in law. The journal welcomes contributions in the following areas:
Machine Learning and Deep Learning
Natural Language Processing (NLP) and Large Language Models (LLMs)
Data Science and Big Data
Neural Networks and Reinforcement Learning
Computer Vision and Image Processing
Causal Inference and AI for Decision-Making
Algorithmic Fairness and Transparency
Hybrid AI Models (Symbolic AI and Machine Learning)
AI for Cybersecurity and Risk Assessment
Edge AI and Federated Learning
Quantum AI and Next-Generation Computing
Explainable AI (XAI)
Multi-Agent Systems and Distributed AI
AI Ethics and Responsible AI Development
Computational Legal Reasoning
Large Language Models (LLMs) in Legal Applications
Legal Knowledge Representation and Ontologies
Formal Models for Legal Argumentation
Judicial Decision-Making and AI
AI in Legislative Drafting and Public Administration
Legal Information Retrieval and Document Automation
Smart Contracts and Automated Dispute Resolution
Bias Detection and Fairness in Legal AI
Ethical and Societal Implications of AI in Law
AI-Driven Compliance and Regulatory Technology (RegTech)
AI in E-Governance and Public Service Automation
AI and Access to Justice
Automated Legal Text Understanding and Summarization
AI-Enabled Legal Education and Training Systems
Legal Frameworks for AI Governance and Regulation
AI and Human Rights
Intellectual Property and AI-Generated Works
AI and Privacy Law (Data Protection, GDPR, etc.)
Algorithmic Accountability and Legal Responsibility
Comparative Legal Studies on AI Regulation
AI and Criminal Justice Systems
AI in Corporate and Financial Law
Philosophical and Jurisprudential Perspectives on AI
JAILT encourages interdisciplinary approaches, incorporating AI, machine learning, computational law, logic, cognitive psychology, linguistics, and philosophy to advance the understanding of AI’s role in legal systems.
JAILT is an open-access journal, meaning all articles are freely available to readers worldwide without subscription or paywall restrictions. Authors retain copyright over their published works under a Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND).
Authors publishing in JAILT retain the copyright to their work and grant the journal a license to publish under the selected Creative Commons License. This ensures that research published in JAILT is widely accessible while protecting the intellectual property rights of authors.
JAILT follows a double-blind peer review process to ensure the quality and integrity of published research. Submissions undergo evaluation by independent reviewers with expertise in relevant fields before acceptance. The editorial team ensures a fair, transparent, and timely review process.
JAILT operates as an independent, non-profit journal. Any sponsorship, institutional support, or funding sources will be transparently disclosed.
JAILT is committed to protecting the privacy of authors, reviewers, and readers. Personal information provided to the journal will be used exclusively for the stated purposes and will not be shared with third parties without consent.
The Journal of Artificial Intelligence and Legal Technology (JAILT) was established in 2025 as a response to the increasing need for scholarly discussions on AI applications in legal contexts. The journal aims to bridge the gap between AI researchers, legal scholars, and policymakers to promote responsible and ethical AI-driven legal solutions.
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