Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India
Journal:
arXiv
Published Date:
Jul 8, 2025
Abstract
AI-based judicial assistance and case prediction have been extensively
studied in criminal and civil domains, but remain largely unexplored in
consumer law, especially in India. In this paper, we present Nyay-Darpan, a
novel two-in-one framework that (i) summarizes consumer case files and (ii)
retrieves similar case judgements to aid decision-making in consumer dispute
resolution. Our methodology not only addresses the gap in consumer law AI tools
but also introduces an innovative approach to evaluate the quality of the
summary. The term 'Nyay-Darpan' translates into 'Mirror of Justice',
symbolizing the ability of our tool to reflect the core of consumer disputes
through precise summarization and intelligent case retrieval. Our system
achieves over 75 percent accuracy in similar case prediction and approximately
70 percent accuracy across material summary evaluation metrics, demonstrating
its practical effectiveness. We will publicly release the Nyay-Darpan framework
and dataset to promote reproducibility and facilitate further research in this
underexplored yet impactful domain.
