Abstract
This study examines the transformative role of AI-powered chatbots in legal translation and explanation, with a particular focus on English–Arabic contexts. It explores the theoretical foundations in natural language processing and machine learning that enable these systems to handle legal terminology and cross-linguistic challenges. The research highlights the shift from traditional, human-centric translation methods toward hybrid and fully automated AI solutions with specific emphasis on gains in efficiency, scalability, and accessibility. Through practical applications such as contract clause translation and interactive legal concept simplification, chatbots demonstrate significant potential to support both legal professionals and laypersons. However, the study also addresses persistent challenges, including data scarcity, ethical concerns around accuracy, and oversimplification. The paper concludes by outlining future advancements like multimodal interfaces and quantum-enhanced legal reasoning. It also calls for continued interdisciplinary collaboration and ethical oversight to fully realize the potential of chatbot-driven legal assistance.