# 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

arXiv: https://arxiv.org/abs/2510.12830 · HTML: https://mlsanity.com/paper/2510.12830/

## 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.

## Builds on (most cited first, 5 of 5)

- [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://mlsanity.com/paper/2005.11401/) (2020)
- [Retrieval-Augmented Generation for Large Language Models: A Survey](https://mlsanity.com/paper/2312.10997/) (2023)
- [On Faithfulness and Factuality in Abstractive Summarization](https://mlsanity.com/paper/2005.00661/) (2020)
- [LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models](https://mlsanity.com/paper/2308.11462/) (2023)
- [Inteligencia Artificial jur'idica y el desaf'io de la veracidad: an'alisis de alucinaciones, optimizaci'on de RAG y principios para una integraci'on responsable](https://mlsanity.com/paper/2509.09467/) (2025)

## 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.