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Similar Cases Recommendation using Legal Knowledge Graphs

Jaspreet Singh Dhani, Ruchika Bhatt, Balaji Ganesan, Parikshet Sirohi, Vasudha Bhatnagar

TL;DR

This work describes the solution for predicting similar cases in Indian court judgements and presents the results and also discusses the impact of large language models on this task.

Abstract

A legal knowledge graph constructed from court cases, judgments, laws and other legal documents can enable a number of applications like question answering, document similarity, and search. While the use of knowledge graphs for distant supervision in NLP tasks is well researched, using knowledge graphs for applications like case similarity presents challenges. In this work, we describe our solution for predicting similar cases in Indian court judgements. We present our results and also discuss the impact of large language models on this task.

Similar Cases Recommendation using Legal Knowledge Graphs

TL;DR

This work describes the solution for predicting similar cases in Indian court judgements and presents the results and also discusses the impact of large language models on this task.

Abstract

A legal knowledge graph constructed from court cases, judgments, laws and other legal documents can enable a number of applications like question answering, document similarity, and search. While the use of knowledge graphs for distant supervision in NLP tasks is well researched, using knowledge graphs for applications like case similarity presents challenges. In this work, we describe our solution for predicting similar cases in Indian court judgements. We present our results and also discuss the impact of large language models on this task.

Paper Structure

This paper contains 10 sections, 6 figures, 4 tables.

Figures (6)

  • Figure 1: Case similarity and citation link prediction on our case graphs
  • Figure 2: An ontology for legal documents
  • Figure 3: Topic modeling can help identify features for training GNN models on the case graph
  • Figure 4: Cluster-wise cosine similarity Distribution
  • Figure 5: A subgraph with predicted links
  • ...and 1 more figures