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Similar Cases Recommendation using Legal Knowledge Graphs
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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.
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Cited by 2 Pith papers
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The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment
A graph neural network that enriches legal citation graphs with categorical metadata nodes predicts case and law citations more accurately than prior GNN baselines, and joint training boosts case citation prediction.
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An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis
A prompt-plus-knowledge-graph framework for legal dispute analysis reports improved LLM sensitivity and citation accuracy on a 100-pair test set, but with limited statistical support.
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