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lovdata-pro

Retrieve Norwegian case law and preparatory works from Lovdata Pro.

2|Updated May 8, 2026
Search Tags:#legal research#document retrieval#legal citations#lovdata pro#norwegian case law#preparatory works#norwegian legislation
One-click install
npx skills add https://github.com/StianOby/claude-legal-tools --skill lovdata-pro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lovdata-pro
Source: https://github.com/StianOby/claude-legal-tools/tree/main/skills/lovdata-pro
Command: npx skills add https://github.com/StianOby/claude-legal-tools --skill lovdata-pro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright, beautifulsoup4, html2text, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Legal researchers, lawyers, and students working with Norwegian law often need accurate, full-text access to case law (rettspraksis) and legislative preparatory works (forarbeider) that are only available via the paid Lovdata Pro platform. Relying on training data recall for legal texts risks hallucinations, outdated information, and incorrect citations, which can have serious professional consequences.

Core Features & Use Cases

  • Live Document Retrieval: Fetches real-time, verbatim text of Norwegian Supreme Court decisions, appellate court rulings, district court judgments, and all types of preparatory works (NOU, government bills, committee recommendations) directly from Lovdata Pro's servers, with no paraphrasing from training data.
  • Flexible Output Formats: Returns documents in markdown, JSON (with structured metadata like keywords and cross-references), raw HTML, or PDF to suit different research and documentation needs.
  • Intelligent Reference Parsing: Automatically parses standard Norwegian legal citation formats (including older pre-2008 Supreme Court references and ambiguous document identifiers) and falls back to Pro search when direct slug matching fails.
  • Use Case: A legal academic writing a paper on EEA law alignment can use this skill to fetch the exact text of the Holship Supreme Court judgment and the preparatory works for the latest Mineral Act, ensuring all citations are accurate and verifiable.

Quick Start

Use the lovdata-pro skill to retrieve the full text of the Supreme Court judgment HR-2016-2554-P in markdown format for your legal research analysis.

Frequently Asked Questions about lovdata-pro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve Norwegian case law without relying on outdated training data?▼

You can retrieve Norwegian case law accurately by fetching live, verbatim text directly from Lovdata Pro's servers. This method eliminates the risk of hallucinations from training data recall, ensuring you have the exact text of Supreme Court or appellate court decisions.

Can I get Norwegian legislative preparatory works like NOU documents in structured formats?▼

Yes, you can retrieve legislative preparatory works like NOU documents and government bills in flexible output formats. The retrieval process supports returning documents as markdown, JSON with structured metadata, raw HTML, or PDF to suit your research needs.

Do I need a Lovdata Pro subscription to fetch Norwegian court decisions?▼

Yes, fetching Norwegian court decisions requires a valid Lovdata Pro subscription. You must authenticate your active user session via SSO/FEIDE or an interactive browser login before retrieving any legal documents.

How do I parse older pre-2008 Supreme Court citations for legal research?▼

You can parse older pre-2008 Supreme Court citations using intelligent reference parsing. This mechanism automatically handles standard Norwegian legal citation formats and ambiguous document identifiers, falling back to a Pro search if direct slug matching fails.

What Python dependencies are required to automate Norwegian legal document retrieval?▼

Automating Norwegian legal document retrieval requires Python 3.8+ with playwright, beautifulsoup4, and html2text dependencies installed. These libraries facilitate browser automation, HTML parsing, and text conversion for the document fetching process.

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