# io.github.ZachLaik/legal-data-hunter

> Use this tool when you need to search and retrieve legal documents from around the world, solving research problems for legal professionals, scholars, and students. It provides access to over 18 million legal documents, including case law, legislation, and doctrine from 110+ countries, with a user-friendly interface for querying and retrieving relevant documents. This tool is ideal for use cases requiring comprehensive legal research, international law comparisons, and academic studies.

Canonical page: https://skillsregistry.net/skills/io-github-zachlaik-legal-data-hunter  
JSON: https://api.skillsregistry.net/v1/skills/io-github-zachlaik-legal-data-hunter

## Description

Search 18M+ legal documents worldwide — case law, legislation, and doctrine across 110+ countries.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-05

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ZachLaik%2Flegal-data-hunter)
- **Repository:** <https://github.com/worldwidelaw/legal-sources>

## Use it

MCP endpoint published by the skill: `https://legaldatahunter.com/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-zachlaik-legal-data-hunter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-zachlaik-legal-data-hunter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-zachlaik-legal-data-hunter/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt