AI Act governance
System and role mapping, risk classification, policies, records, instructions, human oversight and escalation processes.
Italian legal counsel · Technology & AI
Italian and EU legal advice for designing, acquiring and deploying digital and AI systems with coherent contracts, governance and accountability.
01 / Scope
Legal analysis begins with the operating facts. These are recurring questions, but scope and priorities are defined for each project.
02 / Services
The work may cover one issue or coordinate several workstreams. Scope, assumptions and deliverables are agreed before the engagement.
System and role mapping, risk classification, policies, records, instructions, human oversight and escalation processes.
Drafting and negotiation of software development, SaaS, cloud, API, integration, maintenance, service-level and open-source terms.
Contractual treatment of datasets, training, reuse, outputs, trade secrets, access rights and restrictions across the technology chain.
Ownership of code and deliverables, licences, AI-assisted outputs, branding and protection of confidential know-how.
Risk allocation, notification processes, evidence preservation and coordination with privacy and cybersecurity workstreams.
Legal review of products, suppliers and technology assets for corporate transactions, partnerships and procurement.
03 / Framework
The applicable framework depends on the activity, parties and jurisdictions. The following sources are a starting point, not an exhaustive list.
The AI Act follows a risk-based model and assigns different obligations and timelines to providers, deployers, importers and distributors.
Lawful basis, transparency, minimisation, impact assessment and automated decision-making remain relevant whenever personal data are involved.
Technology governance may need to align with NIS2 security, incident handling and supply-chain controls.
Code, datasets, documentation and know-how require separate analysis of ownership, licences, exceptions and confidentiality.
04 / Method
The Firm combines legal analysis with an understanding of the operational context. Advice identifies assumptions, dependencies and decisions rather than presenting regulation in the abstract.
We identify the operating model, parties, documents, technologies, decisions and deadlines.
We distinguish binding duties, contractual choices, uncertainties and issues requiring technical input.
Options are presented with consequences, dependencies and a sequence that the organisation can execute.
We assist with documents, negotiations, internal decisions and engagement with counterparties or authorities.
05 / Connections
06 / FAQ
No. The analysis depends on whether the technology falls within the relevant definition, the organisation's role, the intended purpose and the risk level.
Not necessarily. Inputs and outputs, model changes, metrics, audit rights, third-party dependencies, intellectual property, security and remedies require focused treatment.
No. The regimes interact but have different triggers and duties. Cybersecurity, consumer, product and sector-specific rules may also apply.
Ideally before the model, architecture and principal contracts are fixed, so that requirements and responsibilities can be built into the project.
Describe the activity, the decision to be made and any deadline. An initial exchange helps identify conflicts, scope and the information required. Sending an enquiry does not create a lawyer-client relationship.