The Transformation of Legal Research with Artificial Intelligence


DOI:
https://doi.org/10.59022/ijlp.354Keywords:
Legal Research, Artificial Intelligence, Natural Language Processing, Legal Informatics, Machine Learning, Legal Technology, Comparative Analysis, Legal PracticeAbstract
Legal research is very important for lawyers, judges, and scholars because it helps in understanding laws, past cases, and legal principles. Traditionally, legal research was done manually by reading case law, interpreting statutes, and finding precedents, but this method is becoming difficult because of the huge growth of legal documents and the increasing complexity of laws. This study compares traditional methods of legal research with modern methods that use artificial intelligence (AI). It looks at key factors like accuracy, speed, ease of use, and clarity. The research used a mix of numbers and feedback from 150 legal professionals working on 50 legal tasks. The results show that AI tools, such as natural language processing and automated citation systems, save time (65% faster) and find more relevant cases (40% better recall), while traditional methods are better at deep understanding. The study suggests combining AI with human skills for the best outcomes.
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