Artificial Intelligence in companies
Artificial Intelligence
AI compliance at a glance
This page brings together specialist articles, guidelines and templates for the legally compliant use of AI. Topics covered include the AI Act, data protection, copyright and practical implementation.
Contributions to the AI Act
Unterstanding & implementing the AI Act
At the heart of European AI regulation is the EU AI Act. This article outlines the obligations, deadlines and risk classes that apply, as well as how companies can prepare for its implementation.
The AI Act 2025: Key questions and insights
We explain what the EU AI Act means for businesses and how they should prepare. We demonstrate the differences between AI models, AI systems and GPAI, outline the applicable obligations and deadlines, and explain why AI literacy will become mandatory in the future. Our overview summarises the most important findings and recommendations for your practice.
The EU AI Act: Documentation requirements for AI providers in 2026
We will show you the extensive documentation requirements stipulated by the EU AI Act for providers and operators of high-risk AI systems. You will learn what information must be included in technical documentation, how quality management systems should be designed, how long data must be retained for, and what penalties are imposed for violations.
AI classification according to the AI Act
We explain why the correct classification of the risk posed by AI systems is essential, and outline the categories provided for in the AI Act: prohibited, high risk, restricted and low risk. We demonstrate the obligations that arise from each category and how we can provide practical support for classification and AI compliance.
Human oversight of AI: obligation, principle & practice
In this article, we demonstrate how the concept of human control is embedded as a core principle in the AI Act. We explore how systems must be designed to facilitate intervention, how organisational structures are delegated, and how we can assist you in establishing robust oversight mechanisms and escalation processes.
AI Regulation: New obligations came into effect on 2 February 2025
The first provisions of the EU AI Act came into effect on 2 February 2025. This article explains how to equip your employees with AI skills, details prohibited practices, and highlights key considerations to avoid fines and liability risks.
The AI Act comes into effect on 2 August 2025: New obligations & sanctions
From 2 August 2025, the EU AI Act will stipulate new obligations regarding risk analysis, transparency, and technical documentation. This article explains who is affected by the regulations, what the relevant deadlines are, and how providers and operators can prepare for implementation.
Contributions on AI and data protection
Using AI in compliance with the GDPR
AI systems work with data, which often includes personal information. Read on to find out how to ensure that your AI projects are GDPR-compliant and avoid legal risks during training and operation.
AI & data protection: GDPR-compliant use of AI
Read here to find out how to plan and operate AI projects in accordance with the GDPR, covering everything from the legal bases (consent, contract and legitimate interest) to data protection impact assessments (DPIA), data minimisation, purpose limitation, technical and organisational measures (TOMs), deletion concepts, logging and roles (controller and processor). The article also covers training data, data subject rights, third-country transfers, and pragmatic measures for secure operation.
The Cologne Higher Regional Court has ruled on the use of sensitive data for AI training
What are the consequences of this ruling for the use of sensitive data for AI training? This article examines the circumstances in which health data is considered particularly sensitive in the EU, the requirements relating to consent, purpose limitation and technical measures, and how to minimise risk and liability, particularly in the healthcare and pharmaceutical sectors.
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Contributions on AI and copyright
How to deal with AI-generated content
AI models draw on existing content, but what is permitted, and who owns the copyright for new works? Our articles shed light on the legal boundaries and scope for action when using AI-generated content.
AI & copyright in 2025: What is legally important now?
Who is the author of AI-generated content? Can protected works be used for prompts or training purposes? How can copyright for AI-generated text, images or music be enforced? This article highlights the new legal standards and liability issues, as well as providing recommendations for action for companies and creative professionals.
Copyright in text and data mining
What can you do when evaluating texts automatically with AI systems, and where are the limits? How far do exemptions for text and data mining (TDM) extend? This article analyses the latest ruling, highlights the limits of permissible data use, and identifies ways to minimise risk, particularly in commercial applications.
Contributions to the practical implementation of AI compliance
AI compliance in practice
From AI officers to usage guidelines, we demonstrate how legal requirements are implemented in corporate practice. Our goal is to ensure the safe, efficient and compliant use of AI.
Creating the right AI usage policy
How can you avoid shadow AI, uncontrolled tools, and compliance gaps? This article shows you how to set up a binding AI usage policy, define responsibilities and regulate processes such as approval and logging. It also provides a practical template that you can use directly in your company.
Six steps to creating an AI inventory
Keeping track of all the AI solutions in your company can be challenging. This article outlines six clear steps for doing so, including classifying AI systems, assessing risks, and recording relevant data. This establishes a robust foundation for governance, risk management, and documentation.
AI Officer: role, benefits & training
What tasks does an AI Officer perform in a company, and why is this role becoming so important? This article explains how an AI Officer combines governance, compliance, and risk monitoring; the skills required for the role; and how to effectively train and integrate the role into your company.
Using AI agents in a legally compliant manner
What risks are associated with autonomous agents, and how can these be turned into opportunities? This article highlights scenarios in which AI agents can be used and identifies the relevant legal risks, such as liability, transparency and control. It also shows how companies can use agents responsibly and innovatively by implementing governance, escalation mechanisms and compliance structures.
AI in human resources: opportunities, risks & regulation
ow is AI transforming the way HR works, and what legal challenges lie ahead? This article explores various applications, including recruitment, matching, and performance analysis. It also addresses issues such as bias, data protection, and co-determination risks, while explaining the specific requirements set out in the AI Act for HR systems. You will also receive practical tips for legally compliant implementation.
Artificial intelligence: who is liable when a robot malfunctions?
Who is responsible for paying compensation when AI causes damage: the manufacturer, the operator or the user? This article discusses key liability issues, such as product liability versus fault, the burden of proof, AI 'black box' problems, and potential liability gaps. It also provides initial recommendations for effective risk management.
Contributions to AI and SaaS
The right approach to AI as a Service
Although cloud-based AI solutions offer opportunities, they also come with complex contractual requirements. This article explains what you need to bear in mind regarding implementation, liability, and data processing.
AI as a Service (AIaaS) | implementation in companies
‘Rent instead of build’: AIaaS allows companies to access AI functions via cloud services. This article explains the associated advantages, risks, and compliance requirements, including contract clauses on training data, audit rights, service levels, the obligations of providers and operators, and strategies for minimising risks with third-party systems.
AI in SaaS contracts: mastering risks and compliance
What contractual pitfalls arise when AI functionalities form part of a SaaS offering? This article highlights critical clauses relating to training data, audit rights, liability, and usage rights, and demonstrates how to draft contracts that balance innovation with legal certainty.
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Templates, guidelines & checklists
This is a practical rather than theoretical approach: here you will find templates, checklists and guidelines for achieving AI compliance. All materials can be used directly within your company.
Guide: Using AI without hesitation in 9 steps
This guide contains nine simple steps and a quick test checklist to help you use AI in your company legally and without hesitation, in accordance with the requirements of the AI Act.
Download the AI usage policy template
Would you like a legally compliant basis for using AI in your company? Request our free sample AI usage policy by email – it's practical, up to date and ready to use!
11-point checklist: Using AI content in a legally compliant manner
Eleven points to consider when integrating AI into your content processes. Topics covered include data protection, copyright and the AI Act.
Whitepaper on AI Act
Our guide provides clear guidance on understanding and implementing the new regulatory requirements. Keep up to date with the use of artificial intelligence in your company.
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Lawyer, Associated Partner Berlin
Lawyer, Partner Berlin
Lawyer, Associated Partner Berlin
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