AAIA-RAG-LEGAL AI Governance for Italian Law

Large language models produce plausible outputs even without verifiable grounding. In legal contexts this structural characteristic generates documentable risks: incorrect case citations, reference to judgments absent from the corpus, unanchored assertions delivered with full confidence. AAIA-RAG-LEGAL is the first vertical application of the AAIA architecture: a system that governs the language model rather than replacing it, imposing verified sources, independent output verification, and structured traceability. Results documented on 19 May 2026 demonstrate the difference measurably. The system is operational.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20329734
Primary Topic
Artificial Intelligence in Law
Type
article
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article

AAIA-RAG-LEGAL AI Governance for Italian Law

Alberto Minasi della Rocca
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Law
article

AAIA-RAG-LEGAL AI Governance for Italian Law

Alberto Minasi della Rocca
article en

Abstract

Large language models produce plausible outputs even without verifiable grounding. In legal contexts this structural characteristic generates documentable risks: incorrect case citations, reference to judgments absent from the corpus, unanchored assertions delivered with full confidence. AAIA-RAG-LEGAL is the first vertical application of the AAIA architecture: a system that governs the language model rather than replacing it, imposing verified sources, independent output verification, and structured traceability. Results documented on 19 May 2026 demonstrate the difference measurably. The system is operational.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Artificial Intelligence in Law
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AAIA-RAG-LEGAL AI Governance for Italian Law — Alberto Minasi della Rocca · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS