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Machine Learning for Legal Document Recommendations by anushka.1si23ad007 is a document available to read on EtoBox.

This paper presents a machine learning framework aimed at improving legal document recommendations, addressing the inefficiencies of traditional keyword-based search methods. The framework involves a multi-stage process including data collection, preprocessing, model training, and recommendation generation, leveraging both supervised and unsupervised learning techniques. The authors advocate for the adoption of this framework to enhance legal research efficiency and encourage collaboration between legal pra

Author
anushka.1si23ad007
Language
EN