Practical training for all regulatory and organizational topics of modern data protection, security, and governance structures.
Direct legal support for data protection, AI Regulation, cybersecurity, whistleblower protection, and digital governance.
How can AI systems be integrated into existing corporate and administrative processes in a secure, traceable, and governance-compliant manner?
Scheja & Partners supports companies, public administrations, research institutions, NGOs, healthcare organizations, and international organizations in implementing regulatory requirements from the AI Act and in establishing resilient AI governance structures. As a law firm for software-supported IT law, we combine legal expertise with organizational support and digital solutions for modern AI compliance.
Optionally, we additionally support organizations with the PrivacyPilot for documentation obligations, risk analyses, and governance processes for modern AI compliance and regulatory evidence. This creates structured and traceable workflows for AI governance and compliance structures.
Leverage PrivacyPilot’s unique method to unlock valuable synergies between the various areas of IT law and information security.
With its numerous optional AI features, you will quickly and reliably achieve a new level of digital excellence.
Our services in the field of AI governance combine regulatory expertise with practice-oriented governance, risk, and compliance structures. In doing so, we support companies, public authorities, and organizations in the sustainable and secure integration of AI systems into existing organizational and administrative processes.
The use of AI systems requires clear responsibilities and resilient governance structures. We provide support for internal processes and control mechanisms.
With the PrivacyPilot, we provide support for documentation obligations, risk analyses, governance processes, and regulatory evidence in connection with AI systems and digital processes.
With the ProPilot, we support the secure and structured use of generative AI. This results in traceable prompting processes and resilient governance structures for modern AI applications.
The secure use of AI requires sensitized employees and resilient governance processes. With the TrainingPilot, we provide support for AI training, awareness measures, and practice-oriented training regarding AI governance and compliance.
Artificial intelligence is changing business models, digital administrative processes, and internal decision-making structures in almost all industries. At the same time, regulatory requirements for transparency, risk analysis, governance, and the secure use of AI systems within existing organizational structures are increasing. Companies, public authorities, and organizations increasingly require resilient risk, control, and compliance structures for the responsible use of artificial intelligence.
The European Union’s AI Act creates the first comprehensive regulatory framework for the use, development, and provision of AI systems. The aim of the regulation is to sustainably strengthen transparency, security, traceability, and governance in the handling of artificial intelligence.
Companies, public authorities, research institutions, healthcare organizations, and public administrations are increasingly using AI-based systems within their business, administrative, and decision-making processes. At the same time, the requirements for risk analysis, governance structures, documentation obligations, and organizational control mechanisms are rising.
The integration of AI systems into existing data protection, compliance, and information security structures is particularly challenging. Organizations must be able to demonstrate in a traceable manner that AI systems are used responsibly and that regulatory requirements are met.
In addition, there are increasing requirements for transparency, verifiability, and internal governance processes. Companies and organizations therefore need resilient organizational structures, clear responsibilities, and traceable control mechanisms for the use of AI systems and generative AI.
Public administrations and municipal institutions are also increasingly faced with the challenge of integrating AI applications within sensitive administrative and decision-making processes in a legally secure and traceable manner. At the same time, AI governance, data protection, and digital resilience are gaining significant importance within public structures.
Generative AI, automated decision-making processes, and digital platforms further expand the regulatory requirements for governance and compliance. Organizations must therefore create suitable processes to identify risks early and implement regulatory requirements sustainably.
Scheja & Partners supports companies, public authorities, and organizations in efficiently integrating AI governance into existing governance, data protection, and compliance structures. By combining legal expertise, organizational support, and software-supported solutions, we create traceable and resilient processes for modern AI compliance.
An AI Officer supports organizations with AI governance, regulatory requirements, risk analyses, and organizational processes related to AI systems.
Companies, public authorities, research institutions, healthcare organizations, public administrations, NGOs, and organizations with AI-based applications or digital platforms are particularly affected.
The AI Act requires, among other things, risk analyses, transparency measures, governance structures, documentation obligations, and organizational control mechanisms for certain AI systems.
The PrivacyPilot supports organizations with documentation obligations, risk analyses, governance processes, and regulatory evidence in the field of AI compliance and AI governance.
The ProPilot supports companies and organizations with legal prompt engineering, structured prompting processes, and the secure use of generative AI within regulatory requirements.
The TrainingPilot supports organizations with awareness measures, AI training, and practice-oriented training for the secure and governance-compliant use of AI systems.