Overview

This course equips students with the skills to apply AI in the legal field. It covers prompt engineering for legal research, utilizing NLP for case prediction, and understanding the ethical, regulatory, and bias-related challenges in AI applications. Students will explore emerging AI trends, industry impacts, and develop practical AI projects such as predictive tools and legal chatbots, providing hands-on experience in solving real-world legal challenges with AI technologies.


Fundamentals_of_AI_Applications_in_Law_(NVC90007)-1_(1).pdf

Objectives of Event

  1. Acquaint prompt engineering techniques and customize AI tools, focusing on NLP for legal research and case prediction.
  2. Apprise neural networks, deep learning, and large language models, with domain-specific adaptations for practical applications.
  3. Explore AI's ethical implications, biases, regulatory considerations, and practical applications in judicial and legal systems.
  4. Inculcate emerging AI trends, explore industry impacts, and investigate innovative solutions in legal and other sectors.
  5. Acquaint practical AI projects addressing ethical and legal challenges, including predictive tools and customer support chatbots.

Convener Details

  •  Prof (Dr.) Rhishikesh Dave, Dean, Sharda School of Law, Sharda University

Co-ordinators:

  • Mr. Pallav Ranjan, Assistant Professor, Sharda School of Law, Sharda University

Speaker Details:

  • Mr. Faraz Imtiyaz Mir, Postgraduate scholar in Data Science at Sharda University.