Call for Papers | Journal of Computational Law and Legal Technology (JCLLT) | Inaugural Issue


About the Journal:

The Journal of Computational Law and Legal Technology (JCLLT) is inviting original submissions for its inaugural issue.

JCLLT is an interdisciplinary, peer-reviewed journal dedicated to advancing scholarship at the intersection of law, artificial intelligence, computer science, and emerging legal technologies.

The journal aims to foster critical discourse on the impact of computational systems and digital technologies on legal theory, legal practice, governance, regulation, and access to justice.


Themes & Areas of Submission:

• Computational Theories of Law
• AI, Machine Learning & Predictive Analytics in Legal Contexts
• Natural Language Processing for Legal Text Analysis
• Legal Reasoning & Rule-Based Systems
• Legal Informatics & Intelligent Legal Assistants
• Blockchain, Smart Contracts & RegTech
• Legal Information Retrieval & Digital Court Technologies
• Ethics, Bias & Fairness in Algorithmic Decision-Making
• AI Governance & Compliance Automation
• Digital Transformation & Innovation in Legal Systems
• Access to Justice & Legal Technology


Who Can Submit:

Submissions are invited from:

• Legal Scholars
• Researchers & Academicians
• Practitioners
• Technologists
• Students & Interdisciplinary Researchers

The journal welcomes contributions from the fields of:

• Law
• Computer Science
• Artificial Intelligence
• Data Science
• Philosophy
• Technology & Governance
• Related Interdisciplinary Areas


Types of Contributions Accepted:

• Theoretical Papers
• Empirical Research
• Technical Papers
• Doctrinal Analyses
• Interdisciplinary Scholarship


What This Journal Offers:

• A platform for interdisciplinary legal-tech scholarship
• Opportunity to contribute to emerging discourse on AI and law
• Academic engagement at the intersection of technology and legal systems
• Visibility among scholars, practitioners, and researchers in computational law


Submission Guidelines & Journal Details:

For detailed submission guidelines and additional information, visit:

https://lnkd.in/egwQJXwS


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