Compliance assessment with the EU AI Regulation
Comprehensive assessment of your AI systems to ensure compliance with the EU AI Regulation, including risk classification, technical and documentation requirements.
Our Services
Discover how we can help your organization implement the necessary mechanisms for the business use of AI systems, adapted to your specific needs.
Operationalising the EU AI Act
We train your legal, compliance, and product teams on the EU AI Act and its practical application. We explain the specific requirements that affect your organization, how to prepare the necessary legal and technical documentation, and how to easily adopt the governance best practices required by the regulation.
Compliance with ISO and other international standards
We support companies in implementing the requirements necessary to obtain certification under the main ISO standards for Artificial Intelligence risk management, including 42001 and 42005. These standards provide clients with assurance of a responsible and secure use of AI. They are particularly relevant for companies seeking to operate beyond the European market.
Responsible AI Deployment and Governance Training
We prepare your team to deploy and operate AI systems in a safe and responsible manner, including defining roles and responsibilities, establishing internal controls, managing risks, and responding to incidents. This practical training aim is to anticipate issues and reduce exposure to legal and reputational risks.
Audit Request
EU AI Regulation Risk Categorization
Please complete the following form so that we can assess your AI system according to the requirements of the EU AI Regulation.
What is the use of the AI system?
Recent Academic Publications and Legal Analyses
The AI Act in Context: Complementarity, not Duplication.
This academic article, developed during my research stay at the Center for Democracy and Technology Europe, explores how the documentation requirements of the European AI Regulation integrate with other pre-existing European regulations.
Lázaro. L, Maier. M, Mir. M (2025) The AI Act in Context: Complementarity, not Duplication. https://cdt.org/wp-content/uploads/2025/11/Brief-on-AI-Act-Simplification-Digital-Omnibus.pdf
“The OECD HAIP Reporting Framework: Its value in global AI governance and recommendations for the future”
In collaboration with the Brookings Institution, I contributed to an analysis of the HAIP Reporting Framework, a voluntary mechanism promoted within the G7 framework for large AI providers to report on their risk management and transparency practices. The work assesses the value of this reporting framework in fostering trust, compares the practices implemented by different organizations, and offers recommendations for strengthening its impact.
Bogen. M, Kerry. C, Kornbluh. K, Meltzer. J, Mir. M, Munkhbayar. E, Nadgir. N, Tabassi. E, Tanner. B, Wirtschafter. V (2026) The OECD HAIP Reporting Framework: Its value in global AI governance and recommendations for the future: https://www.brookings.edu/articles/haip-reporting-framework-ai-governance/
Recomendaciones sobre las modificaciones del “AI Digital Omnibus”
Legal analysis of the main amendments proposed by the European Commission to the AI Regulation within the framework of the Digital Omnibus Directive, carried out in collaboration with AI Standards Lab, a non-profit organization with which I collaborate in Brussels.
This work offers a detailed assessment of the most relevant proposed changes and formulates concrete and actionable recommendations for European co-legislators. These recommendations were developed following technical exchanges with members of the European Parliament and Commission, as well as organizations specializing in digital law. Among others, working meetings were held with representatives directly involved in the European AI regulation, such as Brando Benifei and Michael McNamara.