Artificial Intelligence Governance
The Future of AI Requires
Smart Governance
Artificial Intelligence (AI) is transforming the way organizations operate, driving innovation and creating new opportunities to generate sustainable value. However, adopting these technologies also entails addressing significant legal, regulatory, and ethical challenges across multiple areas, including personal data protection, economic competition, intellectual property, corporate sustainability (ESG), regulatory compliance, labor, immigration, and cybersecurity.
At Posse Herrera Ruiz, we understand that AI governance is a comprehensive strategy that must be tailored to the specific needs, challenges, and objectives of each client. Our interdisciplinary team supports organizations throughout the entire process—from the initial analysis and design of AI projects to effective implementation, proactive risk assessment, the development of robust compliance structures, and ongoing training and awareness for their employees.
Lawyers
Our ApproachIntegrates
We understand that not all companies are at the same level of maturity when it comes to adopting Artificial Intelligence. That is why we offer different advisory components designed to address the specific needs of each stage, ensuring that, in every case, the governance strategy supports a successful and responsible implementation of Artificial Intelligence within each organization.
Diagnosis and Due Diligence
We identify risks, internal capabilities, and specific opportunities for the ethical and efficient use of AI.
- Assessment of specific risks
- Analysis of internal capabilities
- Identification of opportunities
- Mapping of vulnerabilities
Regulatory Compliance
We support various projects and initiatives to ensure they comply with applicable regulations at both local and international levels.
- European regulations with extraterritorial application
- Applicable local regulations
- Internal compliance frameworks
- Ongoing legal compliance monitoring
Self-Regulation and Training
We promote the development of internal frameworks that enable proactive monitoring and management of the responsible use of these technologies.
- Internal AI policies
- Training programs
- Monitoring protocols
- Responsible organizational culture
Regulatory Impact Analysis
We analyze existing or future AI initiatives within the company in light of multiple legislative projects aimed at regulating AI.
- Evaluation of current projects
- Regulatory foresight analysis
- Impact on legal feasibility
- Strategic recommendations
Impact of AIGovernance
The State of AI 2025
McKinsey & Company
Organizations that implement robust AI governance frameworks report 67% greater success in generating economic value from their artificial intelligence initiatives.
Key Findings:
- 67% higher success in AI projects with strong governance
- 40% reduction in operational risks
- 35% improvement in organizational adoption
AI Index Report 2025
Stanford HAI
Organizations that strengthen governance and regulation in artificial intelligence (AI) reduce risks and increase trust in their technologies.
Key Findings:
- Latin America made significant progress in AI regulation during 2024, driving initiatives toward greater transparency.
- Global cooperation on AI governance increased through regulatory frameworks from the OECD, EU, UN, and the African Union.
- AI-related incidents grew by 56.4% in 2024, underscoring the urgent need for effective governance.