AI legal practice: from theory to application

Legal topics:

• Artificial intelligence: AI meets law - An introduction to the challenges when law meets (fast-moving) innovation.
• AI and copyright - An analysis of the copyright protectability of AI output, the risks of infringement (plagiarism, double creation, etc.) and a presentation of measures to avoid liability when using AI.
• EU AI Liability Directive - An overview of the planned regulations on AI liability and documentation requirements.
• AI Regulation (EU AI Act) - A presentation of the requirements for AI providers and AI users.
• data privacy when using AI - An explanation of the principles of data protection law as well as the legal bases, rights of data subjects and preventive to-dos when using AI.
• Own IP and trade secrets - A description of the protection options and confidentiality measures for own rights, information, data, know-how or processes that are relevant when using AI.
• Other principles to be observed and sensible measures.
• Practical examples, sample cases, to-do checklists.

AI application:

• Automation of routine tasks: How AI automates and speeds up repetitive tasks so employees can focus on more complex tasks.
• Improved communication: Chatbots and AI-supported systems that make internal and customer-related communication more efficient, transcribe or simultaneously translate/summarize meetings.
• Automated content production: approaches and tools to generate, edit or personalize texts, images or videos with AI.
• Text, image and video analysis: How AI can search and organize content and analyze text, images and videos to extract relevant information.
• Media evaluation and sentiment analysis: Use AI to evaluate social media, news and other sources to identify trends or patterns and analyze sentiment.