Federal Preemption Risk Tracker - AI Regulation Compliance
Pricing
from $5.00 / 1,000 preemption events
Federal Preemption Risk Tracker - AI Regulation Compliance
Track federal preemption risks for state AI regulations. Monitor Executive Orders, DOJ actions, federal courts for Colorado AI Act (CAIA), California SB 1047 compliance. RAG-ready output for AI agents. Risk scoring, conflict analysis, compliance calendar.
Pricing
from $5.00 / 1,000 preemption events
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Jason Pellerin
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Federal Preemption Risk Tracker - AI Regulation Compliance Intelligence
Real-time monitoring of federal preemption risks for state AI regulations | Track Executive Orders, DOJ actions, federal court litigation, and regulatory changes affecting Colorado AI Act, California SB 1047, and algorithmic discrimination laws.
What This Actor Does
The Federal Preemption Risk Tracker monitors all federal government sources for actions that may preempt or conflict with state AI regulations. It provides:
- Risk-scored preemption events from Executive Orders, DOJ enforcement, federal courts, and agency rules
- State-specific impact analysis for Colorado, California, Connecticut, Illinois, and other state AI laws
- RAG-optimized output for AI agents, chatbots, and compliance automation systems
- Compliance calendar with aggregated deadlines and strategic recommendations
Why Federal Preemption Monitoring Matters
The regulatory landscape for AI in the United States is defined by state-federal friction:
| State Law | Effective Date | Key Risk | Federal Conflict |
|---|---|---|---|
| Colorado AI Act (SB 24-205) | June 30, 2026 | $20K/violation | EO 14281 funding threats |
| California SB 1047 | January 1, 2025 | Frontier AI safety | Commerce Dept jurisdiction |
| Connecticut SB 2 | July 1, 2026 | AI governance | FTC authority overlap |
| Illinois HB 3773 | Enacted | Employment AI | EEOC preemption |
Executive Order 14281 threatens to withhold federal broadband grants from states with "onerous" AI rules. Federal courts are adjudicating whether state algorithmic discrimination requirements conflict with federal disparate impact standards.
Organizations deploying AI need real-time compliance intelligence to navigate this friction.
Key Features
๐ Multi-Source Federal Intelligence
| Data Source | Content Type | Update Frequency |
|---|---|---|
| Federal Register API | Executive Orders, Final Rules, NPRMs, Agency Notices | Real-time |
| CourtListener API | Federal court opinions, dockets, PACER documents | Real-time |
| DOJ Press Releases | Enforcement actions, AI policy guidance | Daily |
| White House Briefings | Presidential actions, policy statements | Daily |
โ๏ธ Preemption Risk Scoring
Every event is scored 0-100 based on:
- Event Type Weight: Executive Orders (90%), Court Opinions (95%), Final Rules (80%)
- Preemption Basis: Express (100%), Supremacy Clause (95%), Conflict (80%), Commerce Clause (75%)
- Federal Authority: DOJ (85%), Federal Courts (95%), FTC (70%), EEOC (65%)
- Timeline Urgency: Immediate (100%), Near-term (80%), Medium-term (50%)
๐ค AI Agent-Ready Output
Output is optimized for Retrieval-Augmented Generation (RAG) and AI agent consumption:
{"id": "eo-14281","type": "executive_order","title": "Removing Barriers to American Leadership in AI","riskScore": 85,"riskLevel": "critical","affectedStates": ["CO", "CA"],"affectedProvisions": ["Colorado SB 24-205", "Disparate Impact Testing"],"preemptionBasis": ["federal_funding_threat", "conflict_preemption"],"timeline": "near_term","reasoning": "Executive Order with direct presidential authority creates potential conflict with state requirements. Action needed within 6 months.","recommendedActions": ["Immediate legal review of compliance strategy","Inventory federal grants and funding at risk"],"ragChunks": [{"id": "eo-14281-summary","content": "Executive Order 14281 directs federal agencies to identify and remove barriers to American AI leadership...","chunkType": "summary","metadata": { "source": "federal_register", "tokens": 150, "relevanceScore": 85 }}]}
๐ State Conflict Analysis
Automated mapping of federal actions against specific state law provisions:
- Conflict Type Detection: Direct, implicit, coverage overlap, enforcement, timing, definitional
- Strategic Options: Cost-benefit analysis for compliance strategies
- Precedent Mapping: Links to key preemption cases (Geier v. Honda, Wyeth v. Levine, Arizona v. US)
Use Cases
For Legal & Compliance Teams
- Monitor federal preemption risks for Colorado AI Act compliance before June 2026 deadline
- Track DOJ enforcement signals for algorithmic discrimination
- Identify federal court cases challenging state AI regulations
- Generate audit-ready compliance reports for executive review
For AI Agents & Automation
- RAG Pipeline Integration: Pre-chunked content with token counts for vector databases
- Compliance Chatbots: Structured data for answering "What federal actions affect Colorado AI Act?"
- Workflow Automation: Webhook alerts for n8n, Zapier, Make when critical risks detected
- LangChain Integration: Agent-optimized JSON for tool use and function calling
For Policy & Research
- Track Executive Order implementation across federal agencies
- Monitor federal-state regulatory friction trends
- Research preemption precedents for AI governance policy
Input Configuration
Basic Configuration
{"searchMode": "comprehensive","targetStates": ["CO", "CA"],"outputFormat": "agent_optimized","riskScoreThreshold": 25,"maxResults": 100}
Search Modes
| Mode | Description | Best For |
|---|---|---|
comprehensive | All federal sources | Full compliance coverage |
courtCases | Federal litigation only | Preemption case tracking |
executiveOrders | Presidential actions | Policy direction monitoring |
dojActions | DOJ enforcement & guidance | Enforcement risk assessment |
federalRegister | Rules & notices | Regulatory change tracking |
stateConflicts | Conflict mapping | State law impact analysis |
riskAssessment | Full risk report | Compliance audits |
Output Formats
| Format | Use Case | Includes RAG Chunks |
|---|---|---|
agent_optimized | AI agents, chatbots, RAG | โ Yes |
detailed | Human review, analysis | โ No |
summary | Executive dashboards | โ No |
compliance_report | Audit documentation | โ No |
Output Schema
Core Event Fields
| Field | Type | Description |
|---|---|---|
id | string | Unique event identifier |
type | enum | Event classification (executive_order, court_case, etc.) |
title | string | Official title or case name |
summary | string | Plain-language summary |
riskScore | integer | Preemption risk score (0-100) |
riskLevel | enum | low, medium, high, critical |
affectedStates | array | State codes (CO, CA, etc.) |
affectedProvisions | array | Specific provisions impacted |
preemptionBasis | array | Legal basis for preemption |
timeline | enum | Risk timeline assessment |
recommendedActions | array | Compliance recommendations |
sourceUrl | string | Direct URL to source |
ragChunks | array | RAG-optimized content chunks |
RAG Chunk Structure
{"id": "event-id-summary","content": "Semantic content for retrieval...","chunkType": "summary|holding|rationale|requirement|deadline|citation","metadata": {"source": "federal_register|courtlistener|doj_press|whitehouse","date": "2026-01-29","relevanceScore": 85,"tokens": 150}}
Integration Examples
LangChain Python
from apify_client import ApifyClientclient = ApifyClient("your-api-token")run = client.actor("ai_solutionist/federal-preemption-tracker").call(run_input={"searchMode": "comprehensive","targetStates": ["CO", "CA"],"outputFormat": "agent_optimized"})# Ingest RAG chunks into vector databasefor item in client.dataset(run["defaultDatasetId"]).iterate_items():for chunk in item.get("ragChunks", []):vector_db.add(id=chunk["id"],content=chunk["content"],metadata=chunk["metadata"])
n8n Workflow
{"nodes": [{"name": "Apify Trigger","type": "n8n-nodes-base.apifyTrigger","parameters": {"actorId": "ai_solutionist/federal-preemption-tracker"}},{"name": "Filter Critical","type": "n8n-nodes-base.filter","parameters": {"conditions": {"number": [{ "value1": "={{$json.riskScore}}", "operation": "largerEqual", "value2": 80 }]}}}]}
Webhook Alert Configuration
Set webhookUrl in input to receive POST requests when critical risks are detected:
{"actorId": "ai_solutionist/federal-preemption-tracker","runId": "abc123","totalEvents": 42,"criticalRisks": 3,"highRisks": 8,"topCritical": [{ "title": "...", "score": 92, "url": "..." }]}
Data Sources & Rate Limits
| Source | API | Rate Limit | Auth Required |
|---|---|---|---|
| Federal Register | REST API | Unlimited | No |
| CourtListener | REST API | 5,000/hour | Optional (free) |
| DOJ Website | Web scraping | Respectful | No |
| White House | Web scraping | Respectful | No |
State AI Regulations Tracked
Colorado AI Act (SB 24-205 / CAIA)
- Effective: June 30, 2026
- Penalty: $20,000 per violation
- Key Provisions: Reasonable care duty, annual impact assessments, algorithmic discrimination prohibition, consumer notification rights, 3-year record retention
- Federal Conflict Points: EO 14281 funding threat, FTC authority, disparate impact standards
California SB 1047
- Effective: January 1, 2025
- Key Provisions: Frontier AI safety evaluations, kill switch requirements, whistleblower protections
- Federal Conflict Points: Commerce Department AI safety, national security jurisdiction
Connecticut SB 2
- Effective: July 1, 2026
- Key Provisions: High-risk AI governance, impact assessments, consumer disclosure
- Federal Conflict Points: Similar to Colorado - federal uniformity arguments
Illinois HB 3773
- Effective: Enacted 2020
- Key Provisions: AI video interview consent, employment AI disclosure
- Federal Conflict Points: EEOC AI hiring guidance, Title VII enforcement
Pricing
This Actor uses pay-per-event pricing:
| Event | Price |
|---|---|
| Actor Start | $0.01 per GB memory |
| Result | $0.005 per preemption event |
Typical comprehensive scan: $0.50 - $2.00 depending on date range and result count.
Legal Disclaimer
This Actor provides regulatory intelligence for informational purposes only. It does not constitute legal advice. Risk scores and recommendations are algorithmically generated and should be verified by qualified legal counsel before making compliance decisions.
Support & Contact
Author: Jason Pellerin - AI Solutionist
Website: jasonpellerin.com
Email: jason@jasonpellerin.com
Part of the HyperCognate AI Compliance Suite - Infrastructure of Trust for AI Governance.
Keywords
federal preemption, AI regulation, Colorado AI Act, CAIA, SB 24-205, California SB 1047, algorithmic discrimination, disparate impact, Executive Order 14281, DOJ AI enforcement, federal court preemption, state AI law, compliance automation, RAG AI, agentic AI compliance, regulatory intelligence, AI governance, automated decision systems, FTC AI, EEOC AI hiring, legal compliance API