This study aims to address the existing knowledge gap regarding the specific impact of artificial intelligence (AI) on patent research and emphasize its strategic significance as a catalyst for innovation. The methodology employs a comprehensive approach, integrating both qualitative and quantitative research methods. It systematically investigates the transformative potential of AI in patent research within the BRICS nations, including an examination of the technological, ethical, and legal challenges associated with AI’s application in patent analysis. This research contributes to the field by extending beyond the conventional focus on the role of patents in innovation and shedding light on the potential of AI in patent research. It offers valuable insights into how AI can redefine the landscape of patent research, providing a more rapid and accurate perspective on the identification of technological trends, opportunities, and competitive factors. The findings underscore that AI in patent research yields numerous advantages, ranging from efficient data processing to the forecasting of technological trends. Future studies should explore ethical and legal considerations associated
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