AI is enhancing efficiency and is increasingly integrated across sectors.
The EU's AI Act has global significance, shaping an international framework. This introduces challenges in material law, such as data privacy, intellectual property, labor law, and liability. As a result, companies are motivated to ensure compliance promptly.s global significance, shaping an international framework. This introduces challenges in material law, such as data privacy, intellectual property, labor law, and liability. As a result, companies are motivated to ensure compliance promptly.
Deeply connected to German GenAI community (MDM) and Legal EMEA and Global AI community
Deloitte Legal has become focal point of the TrustworthyAI methodology
Strong MDM focus together with Consulting / T&T led to numerous engagements and rich experience
Contracting for AI is more important than ever before
1. AI-Governance
Integration of regulatory requirements – Implementing current and future legal requirements (e.g. EU AI Act, GDPR) into existing business processes, including risk and compliance management.
Development of internal policies and AI governance structures – Designing company-wide guidelines for responsible, legally compliant AI use.
Transparency and traceability – Establishing clear decision-making and documentation obligations to comply with regulatory verification requirements.
2. Use-Case-Analysis
Rule-compliant review of AI use cases – Identifying, evaluating and categorizing use cases in accordance with regulatory classification systems (e.g. risk classification accoring to the EU AI Act).
Analysis of legal, ethical and operational risks – Considering possible effects on data protection, freedom from discrimination, product safety, etc.
Derivation of concrete measures – Creating guidelines and recommendations for action to reduce legal and operational risks in dealing with AI.
3. AI Literacy
Legal-oriented training concepts – Developing further educational measures with a focus on regulatory requirements, legally compliant handling and compliance aspects of AI.
Promoting a legally conscious understanding of AI – Teaching relevant basics about AI systems, their functioning and legal framework.
Raising awareness of liability and reputational risks – Strengthening the workforce in dealing with AI from the perspective of ethics, data protection and product safety.
4. AI Transformation
Legally compliant process optimization through AI – Supporting the introduction of AI-based processes, taking into account legal requirements (e.g. transparency, accountability).
Identification of compliance-relevant opportunities and challenges – Analyzing automation processes with regard to employment law, data protection law and liability law implications.
Strategy consulting on legally compliant data and AI use – Supporting the transformation to a data-driven organization in accordance with applicable laws.
5. Contracting for AI
Contractual implementation of regulatory requirements – Drafting and revision of contracts to take into account legal requirements (esp. EU AI Act, GDPR, product liability).
Clarification of responsibilities and liability – Defining contractual role models including development, operation and maintenance of AI systems as well as appropriate liability regulations.
Design of secure contract structures for AI services – Advising on the drafting of procurement and distribution contracts for AI-supported products and services, including Service Level Agreements, licensing models and data use clauses.
