CLJun 16, 2024

Citation-Based Summarization of Landmark Judgments

arXiv:2406.10824v128 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for efficient summarization of important legal documents for legal professionals and researchers, but it appears incremental as it builds on existing extractive summarization methods.

The paper tackled the problem of summarizing landmark legal judgments by using contextual references from citing judgments, achieving promising results on datasets from Indian Courts.

Landmark judgments are of prime importance in the Common Law System because of their exceptional jurisprudence and frequent references in other judgments. In this work, we leverage contextual references available in citing judgments to create an extractive summary of the target judgment. We evaluate the proposed algorithm on two datasets curated from the judgments of Indian Courts and find the results promising.

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