Insights

231 Compliance with AI: Organizational Models and Audits

3 min read · Editorial oversight: Avv. Federico Papa

Legislative Decree 231/2001 requires companies to adopt effective Organizational, Management and Control Models (MOG) to prevent the administrative liability of entities. In the current landscape, integrating AI into compliance is no longer merely an opportunity, but a necessity to manage the regulatory complexity introduced by the AI Act. This article explores how AI supports crime mapping and document auditing, while keeping the jurist's role central in supervising decision-making processes.

In brief

Legislative Decree 231/2001 requires Organizational, Management and Control Models to prevent the administrative liability of entities. Regulation (EU) 2024/1689 (AI Act) mandates the integration of AI governance protocols by August 2, 2026. Directive (EU) 2024/1226 introduces new predicate offenses related to European Union restrictive measures. Bill A.C. 1914 proposes Art. 612-quater of the Criminal Code for deepfakes and a common aggravating circumstance for crimes committed via AI. Human oversight (Human-in-the-loop) remains essential for the final validation of decision-making processes.

1.
The New Framework of the EU AI Act
Regulation (EU) 2024/1689 (AI Act) harmonizes European law by defining principles of transparency and accountability for companies utilizing algorithmic systems. For 231 models, this requires integrating specific protocols for AI governance, ensuring that the systems used do not facilitate corporate offenses.
2.
Dynamic Crime Mapping and EU Sanctions
AI facilitates the mapping of predicate offenses, especially following the transposition of Directive (EU) 2024/1226 into the 231 catalog. This measure includes crimes related to the violation of European Union restrictive measures, making the use of technological tools for mass screening of blacklists essential. An internal analysis of thousands of legal queries confirms that the dynamic management of these risks represents one of the primary challenges for Supervisory Bodies.
3.
Deepfakes and Cyber Risks in the AI Bill
The draft law on Artificial Intelligence (A.C. 1914) proposes introducing Art. 612-quater of the Italian Criminal Code regarding the unlawful dissemination of AI-generated content, such as deepfakes. This potential new offense directly impacts 231 Models, requiring new controls in cybercrime and data privacy. Companies must update their protocols to monitor communications that could constitute illicit conduct facilitated by generative AI.
Apply this research directly with edit.legal
Legal research and drafting with citations checked against official databases. Try edit.legal for free, no credit card.
Try edit.legal
4.
Document Audits with Verified Sources
Updating 231 models requires relying on verified regulatory sources to avoid the hallucinations typical of generalist models. edit.legal provides access to over one million official documents, including Supreme Court decisions and the Official Gazette, enabling reliable, large-scale document audits. This data-backed approach is essential for regulatory updates to the model, especially as professional AI adoption continues to rise, as highlighted in the 58th Censis Report.
5.
Human Oversight and AI Act Requirements
By August 2, 2026, organizations must align high-risk AI systems with the governance requirements of the AI Act. The jurist's role remains central to ensuring human oversight (Human-in-the-loop), which is necessary to interpret complex legal concepts such as fraudulent circumvention. While AI supports the analytical phase, final validation and legal-ethical evaluation rest with the human operator to avoid liabilities arising from negligent or non-compliant system management.
6.
Aggravating Circumstance for Crimes Committed via AI in the Bill
The AI bill provides for introducing a common aggravating circumstance under Art. 61, no. 11-decies of the Italian Criminal Code for crimes committed using AI systems. This development increases the exposure to sanctions for entities under Legislative Decree 231/2001. Supervisory Bodies must therefore ensure that corporate systems are not used improperly, following the evolution of industry guidelines regarding technological innovation.
7.
Technological Integration and Data Security
Adopting solutions such as the edit.legal MCP server allows AI to be integrated directly into professional workflows, such as Microsoft Word, while ensuring GDPR compliance through European infrastructure. This level of integration is crucial for large enterprises that, according to the 58th Censis Report, are increasingly embedding AI into compliance. The system enables legal professionals to operate across 21 practice areas with multi-agent systems analyzing specific cases.

Editorial oversight: Avv. Federico Papa·ICAM

Frequently asked questions

What is the deadline for adapting high-risk AI systems?

The deadline established by the AI Act for the compliance of high-risk systems is August 2, 2026. By that date, companies must implement governance, data management, and post-market monitoring systems.

Is there an information obligation for using AI in the legal profession?

Currently, the use of AI in the legal profession is governed by the general principles of diligence, confidentiality, and transparency set out in the Forensic Deontological Code, which require informing the client about the nature and execution of the legal service.

How does AI help prevent EU sanction violation crimes?

AI enables automated, real-time screening of international blacklists, a process that is virtually impossible to manage manually. This is essential for preventing crimes introduced by the transposition of Directive (EU) 2024/1226, now included among the predicate offenses of 231 liability.