Regulatory Analytics: Learn More

State Net Regulatory Analytics is a set of predictive and visual tools that help users understand how regulations progress through the rulemaking process, and the likelihood of if and when they will ultimately be adopted. By combining decades of State Net’s structured regulatory data with advanced machine learning, it provides insight into agency behavior that was previously difficult to quantify.

How Regulatory Analytics Works

Regulatory Analytics is built on State Net’s 40+ years of historical rulemaking data, drawn from over 8,900 regulatory agencies across all 50 states and the District of Columbia. Each model is customized to reflect the unique regulatory behavior of a given state and agency, just as Legislative Outlook models are tailored to legislative chambers.  It uses machine learning to estimate the probability that a proposed rule will be adopted, including:

1. Historic Agency Adoption Rate – How often an agency historically adopts the rules it proposes.
2. Agency Workload – The number of rules currently under consideration and the agency’s throughput capacity.
3. Rule Age – How long a rule has been pending since proposal.
4. Regulatory Stage – the rules progression through various stages.

Together, these indicators allow the system to calculate a data-driven forecast of whether a rule is likely to be adopted and when that adoption might occur.

Accuracy and Validation

Regulatory Analytics models are continuously validated against real-world outcomes. Each year, State Net compares its forecasts to the final adoption status of rules.
Results show that forecasts are accurate more than 85% of the time, meaning fewer than one in five predictions diverge from actual outcomes.

When forecasts differ, the variance often reflects external factors the model cannot predict — such as changes in political priorities, agency leadership shifts, or unforeseen economic or legal constraints.

Despite these variables, the consistency of historical adoption patterns across decades and jurisdictions provides a robust foundation for reliable forecasting

Interpreting the Forecast

Regulatory Analytics provides probability designations that allow users to assess risk and timing at a glance.  These probabilities are not predictions of intent, but rather data-informed estimates grounded in empirical patterns. They are designed to complement a user’s own expertise and understanding of the regulatory environment.

Using Regulatory Analytics in Practice

Regulatory Analytics transforms regulatory monitoring into actionable intelligence. Professionals across legal, compliance, and public affairs can use these forecasts to:

• Prioritize Review: Focus resources on rules most likely to be adopted.
• Plan Ahead: Anticipate adoption timelines and prepare implementation strategies before rules are finalized.
• Compare Agency Behavior: Evaluate whether an agency’s current pace or volume of activity aligns with historic norms.

By pairing Regulatory Analytics with State Net’s tracking, alerts, and search tools, users gain a full-spectrum view of the regulatory lifecycle—from proposal to adoption—supported by predictive confidence.