用智能摘要与判例检索辅助印度消费者纠纷裁决
Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India
- 双模块设计：自动提炼案情摘要并匹配相似判例
- 判例预测准确率超75%，摘要评估准确率约70%
- 专为印度消费者法打造，适合法律科技研究者使用
基于人工智能的司法辅助与判例预测在刑事和民事领域已有广泛研究，但在印度的消费者法领域仍属空白。本文提出Nyay-Darpan——一个集成案情摘要生成与相似判例检索的双功能框架，旨在支持消费者纠纷的决策。该方法不仅填补了消费者法AI工具的空白，还创新性地提出了摘要质量评估机制。'Nyay-Darpan'意为‘正义之镜’，象征其通过精准摘要与智能检索反映纠纷核心的能力。系统在相似判例预测任务中准确率超过75%，在材料摘要评估指标上平均准确率达约70%，验证了其实用性。我们将公开发布该框架及数据集，以促进可复现研究，推动这一重要但研究不足领域的进展。
原文摘要 · Abstract (English)
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.
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