The integration of Artificial Intelligence (AI) in legal research is reshaping the traditional role of lawyers, transforming how legal professionals analyze case law, draft documents, and predict legal outcomes. AI-driven tools such as natural language processing (NLP), machine learning algorithms, and predictive analytics are revolutionizing legal research by increasing efficiency, accuracy, and accessibility. This paper critically examines the impact of AI on legal research, exploring how it enhances legal practice while also posing ethical, professional, and regulatory challenges. From a legal perspective, AI-powered platforms like Westlaw Edge, LexisNexis, and ROSS Intelligence enable faster retrieval of precedents, automated contract analysis, and real-time legal updates. The paper evaluates the extent to which AI reduces research time and improves accuracy, thereby enhancing legal decision-making and case strategy formulation. However, concerns arise regarding data bias, algorithmic transparency, and the diminishing role of human judgment in legal reasoning. The study also discusses regulatory responses, including AI ethics guidelines, data protection laws, and judicial considerations in adopting AI for legal research. Furthermore, the paper explores the changing skill set required for lawyers in the AI era, emphasizing the need for proficiency in legal tech, AI governance, and digital literacy. It examines whether AI will complement or replace traditional legal roles, assessing the potential for job displacement versus enhanced legal service delivery. Through a comparative analysis of AI adoption in various jurisdictions, the study proposes policy recommendations to ensure responsible AI integration while maintaining the integrity of the legal profession. The research concludes that while AI is transforming legal research and practice, a balanced approach that combines AI efficiency with human expertise is essential to uphold ethical standards, fairness, and accountability in legal decision-making.