Property Rights, particularly in trademark search and protection. As businesses increasingly develop and expand brands across borders, the demand for efficient, accurate, and comprehensive trademark search mechanisms has grown. Traditional manual search systems, which were heavily dependent on human judgment, often resulted in inconsistent outcomes, delays, and errors. The introduction of Artificial Intelligence (AI) has transformed this process through automation, predictive analytics, and image-recognition capabilities, which together improve accuracy, speed, and global reach. Modern AI-based trademark search tools use natural language processing, machine learning, and visual similarity detection to identify potential conflicts with existing trademarks. These tools assess linguistic, phonetic, graphical, and contextual factors to evaluate the likelihood of confusion between marks. This technological advancement has improved the efficiency of intellectual property offices worldwide and has enabled brand owners to make better filing decisions. Applications such as TrademarkNow, Corsearch, and Clarivate use deep learning to produce search reports almost instantly, replacing a traditional process that typically required several days. AI also supports private sector entities, including law firms, multinational corporations, and start-ups, by assisting with due diligence and risk assessments before filing or enforcing trademark rights. Private legal-tech companies have played an important role by creating proprietary AI systems that allow users to search across multiple jurisdictions on a single platform. Their collaborations with organizations such as the World Intellectual Property Organization and various national trademark offices have further promoted transparency, interoperability, and wider access to trademark data.