Litigation Intelligence MCP Server

Pre-litigation risk assessment intelligence that detects lawsuits before they happen. This MCP server orchestrates 7 data sources to deliver litigation probability scoring, class action early warning, enforcement trend tracking, legislative exposure analysis, sanctions liability screening, and patent dispute monitoring. It produces a composite Litigation Probability Score (0-100) combining complaint velocity, enforcement acceleration, and regulatory exposure signals.

What data can you access?

Data Point	Source	Coverage
Consumer complaints	CFPB	Financial products and services
SEC regulatory filings	EDGAR	Public company 10-K, 10-Q, 8-K
Environmental violations	EPA ECHO	Facility compliance and enforcement
Federal regulations	Federal Register	Proposed and final rules
Congressional legislation	Congress.gov	Bills affecting liability landscape
Sanctions listings	OFAC SDN	Treasury sanctioned entities
Patent filings	USPTO	US patent portfolio data

MCP Tools

Tool	Price	Description
assess_litigation_risk	$0.10	Assess litigation probability combining CFPB complaints, EPA violations, and SEC filings into a Litigation Probability Score (0-100).
detect_class_action_signals	$0.10	Detect class action early warning signals from CFPB complaint clustering: issue concentration, product patterns, temporal spikes.
track_enforcement_trends	$0.10	Track regulatory enforcement trajectory across EPA violations, Federal Register actions, and OFAC sanctions. Returns Enforcement Trajectory Score (0-100).
analyze_legislative_exposure	$0.10	Analyze exposure from pending/enacted bills and Federal Register rules. Bill stage classification and impact assessment.
screen_sanctions_liability	$0.10	Screen for OFAC sanctions liability: SDN list matches, sectoral sanctions, and trade restrictions. Returns CRITICAL/HIGH/CLEAR risk level.
monitor_patent_disputes	$0.10	Monitor patent landscape for IP litigation risk: competing patents, potential infringement vectors, and patent concentration by assignee.
generate_legal_landscape_report	$0.10	Comprehensive legal landscape report using all 7 data sources, 4 scoring models, composite Litigation Risk Score, and action items.

Data Sources

• CFPB Consumer Complaints -- Consumer Financial Protection Bureau complaint database with product categories, issue types, company responses, and resolution outcomes
• SEC EDGAR Filing Search -- Securities and Exchange Commission electronic filing system for 10-K, 10-Q, 8-K, and other regulatory submissions
• EPA ECHO -- Enforcement and Compliance History Online database tracking environmental facility compliance, violations, and enforcement actions
• Federal Register -- Daily journal of the US government publishing proposed rules, final rules, and agency enforcement actions that create new compliance requirements
• Congress Bill Tracker -- Legislative tracking for bills, resolutions, and amendments with status classification from introduction through enactment
• OFAC Sanctions Search -- US Treasury Specially Designated Nationals list screening for sanctions compliance liability
• USPTO Patent Search -- US Patent and Trademark Office patent database for intellectual property landscape analysis and infringement risk assessment

How the scoring works

Four independent scoring models feed into a composite Litigation Probability Score.

Litigation Probability Score (0-100): Composite probability of near-term litigation based on complaint velocity, enforcement trends, and regulatory exposure. Higher scores indicate greater likelihood of legal action.

Class Action Early Warning: Detects complaint clustering patterns that historically precede class action filings. Analyzes issue concentration (many complaints about the same problem), product patterns (complaints concentrated on specific products), and temporal spikes (sudden increases in complaint volume).

Enforcement Trajectory Score (0-100): Quantifies whether regulatory enforcement actions are accelerating or decelerating. Combines EPA violation frequency, Federal Register enforcement orders, and OFAC sanctions matches.

Legislative Exposure Index: Scores the impact of pending legislation on the litigation risk landscape. Bills are classified by stage (introduced, committee, passed chamber, enacted) with higher-stage bills weighted more heavily.

Score Range	Risk Level	Interpretation
0-20	LOW	Minimal litigation indicators
21-40	MODERATE	Some complaint or enforcement activity
41-60	ELEVATED	Multiple active risk signals
61-80	HIGH	Significant complaint clustering or enforcement acceleration
81-100	CRITICAL	Strong multi-signal indicators of imminent litigation

How to connect this MCP server

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "litigation-intelligence": {
      "url": "https://litigation-intelligence-mcp.apify.actor/mcp"
    }
  }
}

Programmatic (cURL)

curl -X POST https://litigation-intelligence-mcp.apify.actor/mcp \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"assess_litigation_risk","arguments":{"company":"Wells Fargo"}},"id":1}'

Other MCP clients

This server works with any MCP-compatible client including Cursor, Windsurf, Cline, and custom integrations. Point your client to https://litigation-intelligence-mcp.apify.actor/mcp.

Use cases for litigation intelligence

General counsel early warning

Continuous monitoring of complaint patterns, enforcement actions, and regulatory changes to detect emerging litigation risk before cases are filed. Provides quantified metrics for board reporting.

Litigation funding assessment

Pre-funding case viability analysis using public data signals. Complaint clustering patterns and enforcement trajectories help assess whether sufficient evidence exists for viable litigation.

Insurance defense planning

Claims trend analysis and litigation probability scoring for reserve setting. Environmental violation histories and consumer complaint patterns feed actuarial models for liability estimation.

Corporate risk reporting

Quarterly litigation risk reports with quantified scores across all dimensions. Track changes over time to identify whether risk is increasing or decreasing.

Patent landscape monitoring

Identify competing patents, potential infringement vectors, and patent troll activity. Assignee concentration analysis reveals which entities hold the most relevant patents in a technology space.

Sanctions compliance verification

Screen companies and individuals against the OFAC SDN list to identify sanctions liability exposure. Returns clear risk levels for compliance decision-making.

How much does it cost?

This MCP uses pay-per-event pricing. You are only charged when a tool is called.

Each tool call costs $0.10. The Apify Free plan includes $5 of monthly platform credits, enough for approximately 50 litigation intelligence queries per month.

Usage Example	Estimated Cost
Single company litigation risk assessment	$0.10
Full legal landscape report (all 7 sources)	$0.10
Quarterly monitoring of 5 companies	$0.50
Patent landscape analysis	$0.10

How it works

1. Tool call received -- Your MCP client sends a company name with optional product or industry context.
2. Parallel actor execution -- Up to 7 Apify actors run simultaneously, querying CFPB, SEC EDGAR, EPA ECHO, Federal Register, Congress bills, OFAC, and USPTO.
3. Pattern detection -- Complaint clustering, enforcement acceleration, and legislative stage analysis identify pre-litigation signals.
4. Scoring models applied -- Four independent scoring models produce dimensional scores that feed into the composite Litigation Probability Score.
5. Structured response -- Results are returned as JSON with scores, risk levels, sample data, and actionable signals.

FAQ

Q: Does this access court filings? A: No. This MCP uses upstream signals (consumer complaints, enforcement trends, regulatory changes) to predict litigation risk before cases are filed. It identifies the precursors, not the filings themselves.

Q: How accurate is the class action early warning? A: The system detects complaint clustering patterns. Not every cluster leads to a class action, but significant complaint velocity increases are statistically correlated with subsequent filings.

Q: Can this replace legal counsel? A: No. This provides data-driven risk signals to complement legal analysis. It identifies where to look, not what legal action to take.

Q: Is the data real-time? A: Data is fetched live from each source at query time. CFPB complaints, EDGAR filings, and Federal Register entries reflect their current database state.

Q: Is it legal to use this data? A: All data sources are public government databases. See Apify's guide on web scraping legality.

Q: Can I track multiple companies? A: Yes. Call any tool once per company. Each call is independently charged.

Related MCP servers

MCP Server	Focus
ryanclinton/regulatory-change-intelligence-mcp	Regulatory change forecasting and impact analysis
ryanclinton/product-safety-consumer-risk-mcp	Product recall and consumer safety risk
ryanclinton/counterparty-due-diligence-mcp	Corporate entity verification and risk screening

Integrations

This MCP server runs on the Apify platform and integrates with the broader Apify ecosystem:

• Apify API -- Call this MCP programmatically from any language via the Apify API
• Scheduling -- Set up recurring litigation risk assessments on a weekly or monthly schedule
• Webhooks -- Trigger alerts when litigation risk scores cross defined thresholds
• Integrations -- Connect to Slack, Zapier, Make, or any webhook-compatible service for automated risk notifications