This chapter addresses the transformation of scholarly literature review in the digital age and the role of artificial intelligence (AI) as a supportive tool. Starting from traditional literature research methods—keyword search, backward and forward search—it demonstrates how these can be expanded and systematized through AI. The focus is on the targeted development of search strategies, the evaluation of scholarly sources, and the structured understanding of key content. Concrete AI-based prompts are presented that generate search terms, check relevance criteria, analyze publications, and assist in note-taking. The chapter emphasizes the importance of critical reflection and the active role of researchers, as AI cannot fully perform content evaluations, theoretical contextualizations, or methodological analyses. Limitations such as restricted data access, potential misjudgments, and the risk of context-free interpretations are also discussed. Overall, the chapter provides practical insights into how the combination of human expertise and AI technology can enhance both the efficiency of literature review work and scientific quality.