2025/07/08 by Harshvivek Kashid, Bhattacharyya, Swapnil, Shrey Ganatra +11
Business, Management and Accounting · Computer Science · Social Sciences · #Artificial Intelligence in Law #Computation and Language (cs.CL) #Dispute Resolution and Class Actions #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multi-Agent Systems and Negotiation
paper · pdf · doi:10.48550/arxiv.2507.06090
openalex publication_date 2025/07/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.