Abstract : Goal models can capture the essence of legal and regulation statements and many of their relationships, enabling compliance analysis. However, current goal modeling approaches do not scale well when handling large regulations with many variable parts that depend on different aspects of regulated organizations. In this paper, we propose a tool-supported approach that integrates the Goal-oriented Requirement Language and feature modeling to handle regulatory goal model families. We show how they can be organized as a Software Product Line (SPL), ensuring the consistency of the SPL as a whole, and providing an adapted derivation process associated to a feature model configuration. The proposed approach is also evaluated on large generated SPLs with results suggesting its capability to address scalability concerns.