An open multi-agent system should enable regulatory dynamics easily in order to provide updated information about the system enforcement for its law-aware agents. This work presents a case study where agents can dynamically adapt their behaviors according to current enforcements of contextual laws. The case study uses a flexible solution for contextual regulations, which includes a top-down contextual modeling of laws, a normative ontology to formalize the defined regulatory contexts and a rule support for law retrieval.