Predictive litigation tools are increasingly shaping how municipal governments allocate resources, assess risk, and pursue legal action. While these systems promise efficiency and cost savings, they also risk reinforcing existing social, racial, and economic inequities if their assumptions, data sources, and decision rules remain opaque or unexamined. 

By analyzing predictive litigation through a data justice framework, this research foregrounds questions of transparency, accountability, and procedural fairness. It seeks to identify how automated or semi-automated decision-making affects residents—particularly those already disproportionately impacted by municipal enforcement—and to highlight pathways for more equitable, responsible governance.