The proliferation of Artificial Intelligence (AI) is significantly transforming conventional legal practice. The integration of AI into legal services is still in its infancy and faces challenges such as privacy concerns, bias, and the risk of fabricated responses. This research evaluates the performance of the following AI tools: (1) ChatGPT-4, (2) Copilot, (3) DeepSeek, (4) Lexis+ AI, and (5) Llama 3. Based on their comparison, the research demonstrates that Lexis+ AI outperforms the other AI solutions. All these tools still encounter hallucinations, despite claims that utilizing the Retrieval-Augmented Generation (RAG) model has resolved this issue. The RAG system is not the driving force behind the results; it is one component of the AI architecture that influences but does not solely account for the problems associated with the AI tools. This research explores RAG architecture and its inherent complexities, offering viable solutions for improving the performance of AI-powered solutions.

Artificial Intelligence (AI) is rapidly transforming the landscape of academic law libraries worldwide, offering new opportunities for enhancing legal research, information management, and user engagement. This article examines emerging trends in AI applications within academic law libraries, focusing on global developments alongside the unique challenges and opportunities faced in the Caribbean context. Key areas of exploration include AI-powered legal research tools, natural language processing (NLP) applications, and the ethical considerations surrounding AI integration. Drawing from insights presented at the CARALL Conference in July 2024, this article provides a comparative analysis of global best practices and proposes strategic recommendations for Caribbean academic law libraries to harness the potential of AI while addressing regional gaps in technological infrastructure and AI literacy.