This thesis addresses the challenge of managing large volumes of system requirements in the automotive sector, with a focus on identifying and organizing requirement families. It proposes and evaluates a local AI-powered tool that supports users by semantically suggesting potential father requirements, aiming to improve efficiency in the structuring process.