Human Centered AI for Indian Legal Text Analytics

Sudipto Ghosh, Devanshu Verma, Balaji Ganesan, Purnima Bindal, Vikas Kumar +1 more
3/16/2024
cs.HCcs.AI

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Abstract

Legal research is a crucial task in the practice of law. It requires intense human effort and intellectual prudence to research a legal case and prepare arguments. Recent boom in generative AI has not translated to proportionate rise in impactful legal applications, because of low trustworthiness and and the scarcity of specialized datasets for training Large Language Models (LLMs). This position paper explores the potential of LLMs within Legal Text Analytics (LTA), highlighting specific areas where the integration of human expertise can significantly enhance their performance to match that of experts. We introduce a novel dataset and describe a human centered, compound AI system that principally incorporates human inputs for performing LTA tasks with LLMs.

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Cite this paper

@article{ghosh2024human,
  title  = {Human Centered AI for Indian Legal Text Analytics},
  author = {Sudipto Ghosh and Devanshu Verma and Balaji Ganesan and Purnima Bindal and Vikas Kumar and Vasudha Bhatnagar},
  year   = {2024},
  eprint = {2403.10944},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2403.10944v1}
}

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