Maat, a novel legal research assistant, has been developed to support competition protection by streamlining the review of extensive case volumes and judicial reports. This specialized tool aims to identify relevant precedents and assess key elements in competition and merger cases, addressing the limitations of general research assistants like Claude and ChatGPT, as well as legal assistants such as SaulLM-7B and LegalGPT1. By leveraging Maat, competition law experts can enhance their research efficiency and effectiveness, ultimately leading to better-informed decision-making. The development of Maat underscores the need for tailored solutions in legal research, as generic tools often fall short in meeting the specific demands of complex domains like competition law. This matters to legal practitioners, as Maat's capabilities can significantly impact the accuracy and speed of their research, ultimately influencing the outcome of competition and merger cases.