ABOUT THE CONFERENCE
Contribute to the upcoming special issue of the Artificial Intelligence and Law, Springer which is a SCOPUS indexed journal. This special issue aims to curate a set of high-quality papers that focus on the application and impact of LLMs in the legal domain, as well as the ethical issues that are potentially involved.
TOPICS
We invite submissions on the following tentative topics, but authors may submit proposals on other related topics of interest:-
- Design and evaluation of LLM-based systems/applications in legal data processing
- Comparative studies into proprietary vs. open-source LLMs, their strengths and liabilities
- Use of LLMs in traditional legal text processing tasks such as summarization,
question-answering, classification, judgment prediction, etc.
- Issues related to LLM-enabled decision making
- Ethical concerns and potential risks associated with the use of LLMs in the legal domain,
including bias, fairness, misinformation, hallucinations, safety and regulatory compliance
- Using LLMs for explanations or explainability in the application of LLMs
- Human-in-the-loop approaches in the design and application of LLMs in Law
- Use of LLMs in generating litigation-focused legal text such as briefs
- Use of LLMs in generating transactional legal text such as contracts
- Use of LLMs in Electronic Discovery and Technology-Assisted Review
- Linking LLMs to external sources of legal domain-specific knowledge
- Use of LLMs in multilingual legal data analysis
- LLMs for generating weak labels for various applications, or to generate simulated data
(silver-standard) to reduce annotation effort
- Adversarial robustness of LLMs, i.e., optimizing the robustness of LLM-based learning to
adversarial attacks based on prompt injections
EDITORS FOR THE SPECIAL ISSUE:
- Jack G. Conrad, Thomson Reuters (https://jackgconrad.github.io/)
- Kripabandhu Ghosh, Indian Institute of Science Education and Research Kolkata,
(http://www.iiserkol.ac.in/~kripaghosh)
- Debasis Ganguly, University of Glasgow (https://gdebasis.github.io/)
- Saptarshi Ghosh, Indian Institute of Technology Kharagpur (http://cse.iitkgp.ac.in/~saptarshi)
SUBMISSION INSTRUCTIONS
- All submissions will go through the standard review process of the AI and Law journal, and should follow the submission guidelines of the journal as stated at https://www.springer.com/journal/10506/submission-guidelines
- In particular, note that this journal follows a double-blind reviewing procedure, implying that the authors will remain anonymous to the reviewers throughout the peer review process. It is the responsibility of the authors to anonymize the manuscript and any associated materials.
- Manuscripts should be prepared using LaTeX (Springer Nature’s LaTeX template) or in docx format (Word 2007 or higher). While there is no fixed limit on the length of submitted manuscripts, it is suggested that the manuscripts be within 20–25 pages. The length of a manuscript should be proportional to the contributions therein.
- Manuscripts must be submitted through the Editorial Manager system of the AI and Law journal that is accessible from the submission guidelines page stated above. NOTE: Manuscripts should include an indication on the first page that they are submitted for the Special Issue on Applications and Evaluation of Large Language Models in the Legal Domain. When submitting, select the Special Issue (SI) for LLM track in the Editorial Manager system
IMPORTANT DATES
- Important Dates (Time zone: Anywhere on Earth)
- 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)
TO GET MORE OF THE CONFERENCE PLEASE FOLLOW THE BELOW MENTIONED LINK