The existential threat presented by climate change demands an unprecedented response. Existing environmental regulations are insufficient for the pollution concerns that arise from our complicated and integrated global economy. AI has the potential to completely revolutionize existing environmental regulatory frameworks and dramatically improve climate change mitigation with superior data collection, modeling & new enforcement capabilities. Using a doctrinal approach, it studied both national and international regulatory laws and found best practices as well as legal obstacles, such as the need for data privacy and algorithmic bias concerns. It discovered the potential for health law to improve regulation compliance and the potential of modeling in public health. It concluded that artificial intelligence had the potential to vastly improve modeling and partially improve compliance but that theoretically, strict law can curb the worst impulses of unscrupulous AI. It recommended that policymakers collaborate with legal experts and AI researchers to ensure quality climate action.