AI & Law Special Issue on LLMs in the legal domain

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Saptarshi Ghosh

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Nov 18, 2023, 12:48:21 PM11/18/23
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Special Issue of the Artificial Intelligence and Law journal on "Applications and Evaluation of Large Language Models in the Legal Domain" -- Call For Papers

https://www.springer.com/journal/10506/updates/26259532


Large Language Models (LLMs) are presently being applied in many diverse domains. Particularly in the legal domain, LLMs are increasingly being used by researchers for many diverse tasks, including statutory reasoning, annotation of legal text, contract drafting, legal text generation, and so on. Furthermore, despite cautions issued by the U.S. Federal judiciary and guidelines established by the European Bar Association, legal practitioners are starting to rely upon LLMs as well. However, there continue to be concerns about various potential risks that can arise from the application of LLMs in the legal domain. For instance, LLMs are known to generate inconsistent text and exhibit various social biases that can be particularly harmful in the legal domain. 


This journal special issue aims to produce a set of seminal papers that focuses on the application and impact of LLMs in the legal domain, as well as the ethical issues and risks that are potentially involved. 


== Important dates ==


Deadline for initial submission: February 29, 2024

First-round review decisions: May 15, 2024

Deadline for revision submission: July 15, 2024

Notification of final decisions: August 31, 2024

Publication of special issue (online): October 2024 (tentative)



== Special Issue Editors ==


Jack G. Conrad, Thomson Reuters, USA

Kripabandhu Ghosh, IISER Kolkata, India

Debasis Ganguly, University of Glasgow, UK

Saptarshi Ghosh, IIT Kharagpur, India


Further details, including submission requirements and formats, are available at:

https://www.springer.com/journal/10506/updates/26259532.



Thanks and Regards
Saptarshi Ghosh
Associate Professor
Indian Institute of Technology Kharagpur
[Guest Editor of the Special Issue]

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