Environmental equity is a critical and global issue that emphasizes the urgent need for all communities to have fair access to pristine air, water, and a sustainable environment. This equitable access remains a distant goal, especially for underserved populations who consistently face the severest consequences of environmental neglect. Recent trends suggest a pivot towards data-driven methodologies to confront environmental inequities. This paper investigates the potential of state-of-the-art technologies like Generative Pre-trained Transformers (GPT) to propel environmental justice (EJ) forward, focusing on the use of state and federal data to enhance comprehension and foster actionable change.