Abstract

Digitalization has brought about significant opportunities and challenges for Law, IT researchers for a balanced and quality summary. A statistical and topic modeling-based strategy is presented to extract an automatic summary from the PLD for legal judgments. LDA is the measuring method to capture the most important topics, rank the summary according to the final section of the legal judgments. Summarizing legal judgments involves leveraging LDA’s topic modeling to update the summarization process. To generate a quality summary using the evaluating metrics. These results show the role of the proposed algorithm in a better way the proposed algorithm is competent in computational processing and has an understandable method for implementing the PLD judgments.

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