By FiscalNoteLearning Objectives
- Understand how AI turns raw legislative and regulatory data into tailored policy intelligence
- Evaluate PolicyNote's forecasting and drafting capabilities alongside their real limits
- Recognize the resourcing asymmetry that AI government-affairs tools can amplify
What Is PolicyNote?
PolicyNote is the AI-driven policy and regulatory intelligence platform from FiscalNote, a public company that has spent more than 20 years assembling legislative and judicial data. Launched in January 2025 and built on FiscalNote's "FiscalNote Next" AI — trained on decades of legislative and judicial records — PolicyNote monitors bills and regulations, then delivers AI-generated impact summaries tailored to a specific organization's interests.
Beyond monitoring, the platform runs redline comparisons across bill versions, forecasts the likelihood that a bill will pass, and now offers AI assistance for drafting legislative language. FiscalNote has also shipped a PolicyNote MCP connector, letting large language models (LLMs) query its data directly. The company reports 4,000+ customers, including roughly half the Fortune 100, and coverage of more than 10,000 governmental bodies.
💡Key Concept
Policy intelligence is the practice of continuously tracking legislation, regulation, and government activity, then translating it into what it means for a particular organization. AI accelerates this by reading thousands of documents, flagging relevant changes, and summarizing likely impact — work that once took teams of analysts days to compile by hand.
Key Capabilities
- Bill and regulation monitoring — tracks activity across more than 10,000 governmental bodies with 20+ years of underlying data
- Tailored AI impact summaries — generates organization-specific analysis of what a given bill or rule would mean
- Redline bill comparison — highlights exactly what changed between versions of a bill
- Passage forecasting — a predictive model the company reports at 80%+ accuracy for bill outcomes
- AI-assisted legislative drafting — helps produce statutory and regulatory language
- PolicyNote MCP connector — exposes the data to LLMs for direct querying
⚠️Warning
Verify before you rely, and mind the asymmetry. The 80%+ passage accuracy and the impact summaries are vendor-reported and can mislead if treated as certainty in high-stakes policy decisions — human policy experts must check the outputs. AI-assisted drafting of legislation raises hard questions about who is accountable for the language of laws and about automating advocacy at scale. And because tools like this primarily serve corporations and trade associations, they can widen a resourcing gap: well-funded interests gain AI-powered policy leverage that public-interest and community groups may not be able to match.
Company Details
| Detail | Info |
|---|---|
| Company | FiscalNote |
| Founded | 2013 |
| Headquarters | Washington, DC |
| Ownership | Public — NYSE: NOTE |
| Scale (reported) | 4,000+ customers, roughly half the Fortune 100; 10,000+ governmental bodies monitored |
| Financials (reported) | Reached first year of positive adjusted EBITDA; targets 15% adjusted-EBITDA margin by end of 2026 |
| Forecasting (reported) | Predictive bill-passage model at 80%+ accuracy (vendor-reported) |
| Website | fiscalnote.com |
Key Takeaways
- PolicyNote combines two decades of legislative and judicial data with AI to monitor bills, summarize impact, compare versions, and forecast passage for thousands of organizations
- New capabilities — AI-assisted legislative drafting and an MCP connector — push the platform from tracking into content creation and direct LLM access
- The honest caveat: passage forecasts and impact summaries are vendor-reported and belong in the hands of human experts, and these tools mostly help well-resourced interests lobby more efficiently — a real asymmetry to weigh
