Jurisrank Argentine Supreme Court Analysis Adrian Lerer

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).

License: Creative Commons Attribution 4.0 International (CC BY 4.0)

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Three Algorithms

| Algorithm | Purpose | |-----------|---------| | JurisRank | PageRank + temporal decay — recent citations weighted higher | | RootFinder | Ancestral Borrowing Analysis Network — traces doctrinal genealogy | | Legal-Memespace | Principal Component Analysis — maps multidimensional doctrine |

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Coverage

• Argentine Supreme Court (CSJN) — 1922 to present
• National and federal courts of appeals (Cámaras nacionales y federales)
• Selected provincial supreme courts
• Relevant international precedents cited by Argentine courts

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Authority Score Interpretation

| Score | Meaning | Recommendation | |-------|---------|---------------| | > 0.8 | Leading case — highest citation authority | Cite first, with score | | 0.6–0.8 | Widely cited — strong precedential weight | Cite with score | | 0.4–0.6 | Relevant — moderate authority | Cite with note | | POST https://api.jurisrank.com/v1/analyze-authority {"case_id": "..."}

1. Interpret Authority Score and citation network position
2. Apply RootFinder for genealogy if doctrinal evolution is needed
3. Produce ranked analysis with citation recommendations

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## Anti-Hallucination Rules

JurisRank implements groundedness verification per the Stanford Legal AI
Benchmark (Magesh et al., 2024):

**Before including any case in the analysis:**
- Confirm Authority Score > 0.0 (case exists in the network)
- Verify jurisdiction matches the forum of the matter
- Check temporal decay: has a more-cited posterior decision superseded it?
- Verify the case actually supports the proposition — not just addresses the topic

**Never cite a case not found in the JurisRank network without explicitly
declaring it as unverified.**

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## Output Format

JURISRANK ANALYSIS — [Topic] Date: [date] | Tool: JurisRank (Lerer, 2026, JCLLT)

RANKED PRECEDENTS BY AUTHORITY

| Case | Court | Year | Authority Score | Network Position | |------|-------|------|----------------|-----------------| | ... | CSJN | ... | 0.92 | Leading case |

DOCTRINAL EVOLUTION

[Timeline: how doctrine developed]

CITATION NETWORK

[Which cases cite each other; doctrinal clusters]

RECOMMENDATION

[Which cases to cite · in what order · why]

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## About the Author

Ignacio Adrián Lerer is an Argentine attorney and independent researcher.
JurisRank was developed as part of research on computational legal analysis
published in peer-reviewed journals. The tool is registered with Argentina's
DNDA (copyright registry) and has a patent application pending at INPI Argentina.

Contact: [justitia.com.ar](https://justitia.com.ar)
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## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [ThomasMoreAI](https://github.com/ThomasMoreAI)
- **Source:** [ThomasMoreAI/legal-skills-open](https://github.com/ThomasMoreAI/legal-skills-open)
- **License:** Apache-2.0

Install and usage instructions live in the source repository linked above.