JurisRank

by lawve-ai

JurisRank is a Data skill for Claude Code, published by lawve-ai in awesome-legal-skills.

662 stars83 forkson lawve-ai/awesome-legal-skillsAdded 2026/08/24+2% in starsRepository updated 2026/08/07

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Install in seconds

Install JurisRank

Copy JurisRank into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/argentine-supreme-court-analysis-adrian-lerer ~/.claude/skills/argentine-supreme-court-analysis-adrian-lerer

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/lawve-ai/awesome-legal-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/argentine-supreme-court-analysis-adrian-lerer/SKILL.md in lawve-ai/awesome-legal-skills
Installs to: ~/.claude/skills/argentine-supreme-court-analysis-adrian-lerer
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What JurisRank does

JurisRank analyzes Argentine court citations to rank precedents by authority and trace doctrinal evolution. Use it when selecting cases to cite, checking precedential weight, or studying constitutional drift in CSJN and related courts.

JurisRank is cataloged under Data on DirSkills. JurisRank comes from a repository tagged agent-skills, automation, law, legal-work and workflows.

Documentation

README

Excerpt

JurisRank — Argentine Jurisprudential Authority Analysis

What JurisRank Is

JurisRank is a computational tool for measuring the authority of Argentine court decisions through citation network analysis. Its methodology is peer-reviewed and published in the Journal of Computational Law and Legal Technology:

Lerer, I.A. (2026). "Computational Detection of Constitutional Drift: Network Analysis and Semantic Measurement of Argentine Supreme Court Jurisprudence (1922–2025)." Journal of Computational Law and Legal Technology. DOI: 10.47852/bonviewJCLLT62027951

Academic validation: κ = 0.83 inter-coder reliability · k-fold cross- validation (k=5) · 73.2% mean accuracy · Monte Carlo simulations (n=1,000).

This is the opening of the README. Read the full README on GitHub.

Frequently asked about JurisRank

What else does lawve-ai publish alongside JurisRank?
JurisRank is one of 25 skills that DirSkills catalogs from lawve-ai/awesome-legal-skills, the repository it ships in. Its siblings there include AI Audit Trail Builder, AI Governance Reviewer and Agent Authority Charter Builder. Each one is a separate skill with its own page in this directory, installs the same way JurisRank does, and is maintained by lawve-ai in that same repository. The rest of the collection is listed on the lawve-ai/awesome-legal-skills page.
How does JurisRank compare to other Data skills?
JurisRank ranks #551 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of JurisRank against them. Open each page to compare what they document and how they install.