Fact-based Court Judgment Prediction

Shubham Kumar Nigam, Aniket Deroy
11/22/2023
cs.CLcs.AIcs.IR

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Abstract

This extended abstract extends the research presented in "ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation" \cite{malik-etal-2021-ildc}, focusing on fact-based judgment prediction within the context of Indian legal documents. We introduce two distinct problem variations: one based solely on facts, and another combining facts with rulings from lower courts (RLC). Our research aims to enhance early-phase case outcome prediction, offering significant benefits to legal professionals and the general public. The results, however, indicated a performance decline compared to the original ILDC for CJPE study, even after implementing various weightage schemes in our DELSumm algorithm. Additionally, using only facts for legal judgment prediction with different transformer models yielded results inferior to the state-of-the-art outcomes reported in the "ILDC for CJPE" study.

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Cite this paper

@article{nigam2023factbased,
  title  = {Fact-based Court Judgment Prediction},
  author = {Shubham Kumar Nigam and Aniket Deroy},
  year   = {2023},
  eprint = {2311.13350},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.13350v1}
}

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