AI Law
The development of artificial intelligence (AI) opens limitless possibilities, but it also presents complex legal and ethical challenges. Our approach uses Legal Design Thinking to turn regulatory complexity (such as the EU AI Act, GDPR) into a strategic plan that is clear, operational, and integrated into the AI system development process. Our goal is to ensure that your AI innovation is not only technologically advanced, but also legally flawless.
Our services are structured according to the AI project lifecycle, from concept to market deployment.
1. Concept and strategic design phase
"AI Project Risk Map": Together with your team, we create a visual “AI project risk map.” This map helps identify and prioritize all potential legal and ethical challenges (e.g., algorithm bias, privacy risk, IP rights in generated works) and provides a clear action plan before development begins.
Design of ethical principles: We assist in defining and integrating ethical principles (transparency, fairness, accountability) into the core philosophy of the AI system, forming the foundation for regulatory compliance.
Regulatory compliance advisory: We provide clear guidance on compliance with the EU AI Act, GDPR, and other relevant regulations, helping you classify your AI system and understand your obligations.
2. Development and implementation phase
In this phase, legal requirements are directly integrated into the technical architecture of the AI solution.
Legal validation of datasets: We conduct a legal review of datasets used to train AI models, ensuring that data is lawfully collected, anonymized, and does not infringe on individual rights.
Algorithm transparency design: We assist in developing mechanisms that allow explanation of AI decisions (algorithmic transparency), which is essential for user trust and regulatory compliance.
Contract design for developers: We create clear contracts with developers, precisely defining ownership of source code, models, data, and IP rights.
3. Commercialization and management phase
When the AI system is ready for the market, our task is to design its commercial pathway.
Contract design for end users: We prepare contractual documents (licensing agreements, terms of use, privacy policies) that are clear, easy to understand, and legally compliant. Visual elements are used to make key provisions accessible.
Legal validation of marketing: We analyze marketing materials and public statements about your AI product to ensure they do not contain misleading claims (“AI washing”).
Monetization strategy: We advise on the best legal models for AI commercialization (e.g., SaaS, licensing, B2B contracts), including drafting the necessary legal documents.
4. Risk management and defense phase
When issues arise, our approach is strategic and focused on effective resolution.
Crisis plan design: We prepare a detailed legal and communication response plan for unforeseen problems (e.g., algorithm errors, data leaks), with clearly defined roles and steps.
Liability for AI systems: We advise on legal responsibility for damage caused by AI and represent you in court disputes.
Our mission: what you gain with the Legal Design approach
In AI law, our mission is to help you navigate legal uncertainty and create value. Through transparency, empathy, and strategic partnership, we ensure that your AI innovations are not only technologically brilliant, but also legally secure, ethically responsible, and future-ready.