Gobernanza y trazabilidad "a prueba de AI Act" para casos de uso legales: un marco t'ecnico-jur'idico, m'etricas forenses y evidencias auditables
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Abstract (arXiv)
This paper presents a comprehensive governance framework for AI systems in the legal sector, designed to ensure verifiable compliance with the EU AI Act. The framework integrates a normative mapping of the regulation to technical controls, a forensic architecture for RAG/LLM systems, and an evaluation system with metrics weighted by legal risk. As a primary contribution, we present rag-forense, an open-source implementation of the framework, accompanied by an experimental protocol to demonstrate compliance. -- Este art'iculo presenta un marco integral de gobernanza para sistemas de IA en el sector legal, dise~nado para garantizar el cumplimiento verificable del Reglamento de IA de la UE (AI Act). El marco integra una cartograf'ia normativa de la ley a controles t'ecnicos, una arquitectura forense para sistemas RAG/LLM y un sistema de evaluaci'on con m'etricas ponderadas por el riesgo jur'idico. Como principal contribuci'on, se presenta rag-forense, una implementaci'on de c'odigo abierto del marco, acompa~nada de un protocolo experimental para demostrar la conformidad.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 23 references that are in the map. First posted on arXiv 12 Oct 2025.
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5 of 23 references.
References · 5
- 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
- 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
- 2020On Faithfulness and Factuality in Abstractive Summarizationcited by 900
- 2023LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Modelscited by 336
- 2025Inteligencia Artificial jur'idica y el desaf'io de la veracidad: an'alisis de alucinaciones, optimizaci'on de RAG y principios para una integraci'on responsablecited by 2
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