Legal Data MCP — Case Law, Dockets & Filings for AI Agents avatar

Legal Data MCP — Case Law, Dockets & Filings for AI Agents

Pricing

from $20.00 / 1,000 tool calls

Go to Apify Store
Legal Data MCP — Case Law, Dockets & Filings for AI Agents

Legal Data MCP — Case Law, Dockets & Filings for AI Agents

MCP server exposing case law, court dockets, FINRA BrokerCheck and trademark data as 10 agent tools. Connect Claude, Cursor, n8n or the OpenAI Agents SDK. Not legal advice.

Pricing

from $20.00 / 1,000 tool calls

Rating

0.0

(0)

Developer

NexGenData

NexGenData

Maintained by Community

Actor stats

0

Bookmarked

11

Total users

3

Monthly active users

5 days ago

Last modified

Share

Legal & IP Intelligence MCP — Courts, Enforcement & TTAB for AI

One MCP connection. US courts, litigation, enforcement, and IP — all agent-ready.

Most legal MCP servers stop at court records. This one unifies ten US legal and IP data streams behind a single connection — court records, case law, federal dockets, judges, oral arguments, SEC enforcement, FINRA BrokerCheck, USPTO TTAB oppositions, copyright registrations, and trademark-conflict alerts — each returning the same normalized JSON envelope. Connect Claude, ChatGPT, or Cursor once and run litigation monitoring, enforcement/compliance screening, and brand-protection diligence without wiring up a dozen separate scrapers or paying PACER per page.


Why this exists

Legal and IP data is high-value, public, and notoriously fragmented. Federal dockets live behind PACER's per-page paywall and the RECAP archive; case law sits in CourtListener; trademark oppositions are in the USPTO's TTAB system; copyright registrations are in a separate Copyright Office catalog; enforcement actions are scattered across SEC litigation releases and FINRA BrokerCheck. Each source has its own format, its own rate limits, and no shared schema. Pulling them together for an agent means solving each one — and re-solving as the systems change.

This MCP server does that work once and exposes the result as agent-native tools. The same NexGenData infrastructure that powers our standalone legal and IP actors — used by litigators, IP counsel, compliance teams, and legal-tech builders — now sits behind a single streamable-HTTP endpoint.

This server is litigation- and enforcement-focused. For deep patent search (claims, citations, prior art, inventor/assignee lookups), pair it with our companion Patents & Trademarks (IP) MCP, which is purpose-built for that.


The ten tools

ToolWhat it does
search_court_recordsSearch US public court case records by party, case number, or keyword
search_case_lawSearch US court opinions and published case law (CourtListener)
search_federal_docketsSearch federal dockets and filings from the RECAP/PACER archive
search_judgesLook up US federal and state judges — bios, appointments, positions
search_oral_argumentsSearch the index of appellate oral-argument audio recordings
track_sec_litigationTrack SEC enforcement actions and litigation releases
search_finra_brokercheckSearch FINRA BrokerCheck — broker/firm registration and disclosures
track_ttab_oppositionsTrack USPTO TTAB trademark opposition and cancellation proceedings
search_copyright_recordsSearch the US Copyright Office catalog of registered works
watch_trademark_conflictsMonitor new USPTO & EUIPO filings that may conflict with a watched mark

Every tool accepts a criteria object (party names, keywords, dates, courts, etc.) and a limit, and returns a uniform envelope: a human-readable summary plus structuredContent with the records.


Quick start

Connect from Claude Desktop / any MCP client

{
"mcpServers": {
"legal-ip-intelligence": {
"url": "https://nexgendata--legal-mcp-server.apify.actor/mcp",
"headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
}
}
}

That's the whole setup. Your agent now has ten US legal & IP tools.

Call a tool

// tools/call
{
"name": "track_sec_litigation",
"arguments": {
"criteria": { "startdt": "2026-01-01", "keyword": "insider trading" },
"limit": 25
}
}

Response shape

{
"tool": "SEC Litigation Releases",
"count": 3,
"total_available": 41,
"results": [
{ "...": "normalized records from the underlying source" }
]
}

Every tool returns this same {tool, count, total_available, results} envelope, so you write one parser for all ten.


Common agent workflows

Litigation monitoring. Chain search_federal_dockets and search_court_records on a party name to build a live case-tracking feed, then use search_judges to pull the assigned judge's background for strategy.

Enforcement & compliance screening. Run track_sec_litigation and search_finra_brokercheck against a person or firm to surface securities-enforcement history and broker disclosures in one pass — useful for diligence, KYC, and counterparty risk.

Brand protection. Combine watch_trademark_conflicts with track_ttab_oppositions so your agent flags both new conflicting filings and active opposition/cancellation proceedings against marks you care about.

Legal research. Use search_case_law for precedent and search_oral_arguments to find the appellate audio behind a holding.

IP portfolio diligence. Pair search_copyright_records with the companion Patents MCP to cover registered works and patents together.

Because every tool returns the same shape, chaining them is trivial.


Pricing

This server is pay-per-event:

  • $0.02 per tool call — you pay only when your agent actually queries.
  • $0.05 per bulk result — added when a single call returns more than 10 records.
  • Negligible per-session start fee.

No subscription, no seat license, no minimum. An agent firing 300 legal queries a month costs about $6 — versus the per-search PACER fees and the four- and five-figure annual seats charged by Westlaw, LexisNexis, and Bloomberg Law.


How this compares

vs. Westlaw / LexisNexis / Bloomberg Law: Those are built for human researchers and priced for law firms. This is built for agents and priced per call, returning machine-ready JSON with source identifiers — not a research UI you have to scrape.

vs. raw PACER + CourtListener + USPTO + Copyright Office: Each is free or cheap individually but has a different format, auth model, and rate limit. This server unifies ten of them behind one schema and one connection.

vs. building your own: You'd maintain a docket scraper, a case-law client, TTAB and Copyright catalog parsers, plus SEC and FINRA collectors — and keep them all working. This is that stack, already built, behind one URL.


Companion servers

  • Patents & Trademarks (IP) MCP — purpose-built patent search (claims, citations, prior art, assignee/inventor).
  • SEC Corporate Events MCP — market-moving SEC filings (M&A, IPOs, buybacks, proxy fights).
  • Regulatory Filings MCP — broad SEC/disclosure/compliance filing search.

All share the same connection model, so adding another is a one-line config change.


FAQ

Do I need a PACER or CourtListener account? No. You only need an Apify token to authenticate to the MCP endpoint; upstream access is handled server-side.

How fresh is the data? Each tool queries its source live at call time, so you get records as soon as they're available in the underlying system.

Can I filter by court, date, or party? Yes — pass those in the criteria object. Supported filters depend on the source; party/keyword search and date ranges work broadly.

Is this legal advice? No. This server returns public records for informational and research purposes only. It is not legal advice and not a substitute for a licensed attorney.

Does it cover patents? Patent litigation and copyright/trademark enforcement are here; deep patent search lives in the companion Patents & Trademarks (IP) MCP.

Is the response schema stable? Yes — every tool returns the same envelope, so one parser handles all ten. We version any changes.


Support & feedback

Issues, feature requests, or want another legal/IP source added? Reach out through the Apify Store contact on the NexGenData publisher page.

Legal & IP Intelligence MCP — by NexGenData. Courts, enforcement, and IP, agent-ready.

Pair this legal & IP MCP with the rest of the NexGenData IP/legal fleet: