@inproceedings{bhattacharyya-etal-2025-nyay,
title = "Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in {I}ndia",
author = "Bhattacharyya, Swapnil and
Kashid, Harshvivek and
Ganatra, Shrey and
Anaokar, Spandan and
Sekhar, Reshma and
Nair, Shruthi N and
Manohar, Siddharth and
Hemrajani, Rahul and
Bhattacharyya, Pushpak",
editor = "Modi, Ashutosh and
Ghosh, Saptarshi and
Ekbal, Asif and
Goyal, Pawan and
Jain, Sarika and
Joshi, Abhinav and
Mishra, Shivani and
Datta, Debtanu and
Paul, Shounak and
Singh, Kshetrimayum Boynao and
Kumar, Sandeep",
booktitle = "Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)",
month = dec,
year = "2025",
address = "Mumbai, India",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.justnlp-main.8/",
pages = "73--100",
ISBN = "979-8-89176-312-8",
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 precision 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."
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%0 Conference Proceedings
%T Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India
%A Bhattacharyya, Swapnil
%A Kashid, Harshvivek
%A Ganatra, Shrey
%A Anaokar, Spandan
%A Sekhar, Reshma
%A Nair, Shruthi N.
%A Manohar, Siddharth
%A Hemrajani, Rahul
%A Bhattacharyya, Pushpak
%Y Modi, Ashutosh
%Y Ghosh, Saptarshi
%Y Ekbal, Asif
%Y Goyal, Pawan
%Y Jain, Sarika
%Y Joshi, Abhinav
%Y Mishra, Shivani
%Y Datta, Debtanu
%Y Paul, Shounak
%Y Singh, Kshetrimayum Boynao
%Y Kumar, Sandeep
%S Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)
%D 2025
%8 December
%I Association for Computational Linguistics
%C Mumbai, India
%@ 979-8-89176-312-8
%F bhattacharyya-etal-2025-nyay
%X 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 precision 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.
%U https://aclanthology.org/2025.justnlp-main.8/
%P 73-100
Markdown (Informal)
[Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India](https://aclanthology.org/2025.justnlp-main.8/) (Bhattacharyya et al., JUSTNLP 2025)
ACL
- Swapnil Bhattacharyya, Harshvivek Kashid, Shrey Ganatra, Spandan Anaokar, Reshma Sekhar, Shruthi N Nair, Siddharth Manohar, Rahul Hemrajani, and Pushpak Bhattacharyya. 2025. Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India. In Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025), pages 73–100, Mumbai, India. Association for Computational Linguistics.