Webinar: Beyond Prompting: Why Legal AI Needs Architecture, Not Just Models

NOTE: THIS WEBINAR IS PRESENTED IN GERMAN

Many law firms are experimenting with AI tools and interfaces, and some are asking “Have foundation models done away with legal AI?”

We believe the real work is only just beginning, and that real transformation in legal work will not come from better prompts, it will come from deep sector expertise, designed systems and the critical knowledge architecture behind AI.

In this timely webinar, Stefan Kucera (Partner - KUCERA Rechtsanwälte) and Johannes Wowra (Head of Development & IoT - Spryfox) explain why LLMs alone cannot deliver reliable legal reasoning and why structured knowledge layers are essential for meaningful legal AI systems.

Our aim is to provide an assessment of the state of AI in legal right now and a clear view of what will shape the legal industry in the coming years.

Aimed at forward-thinking partners, legal tech managers, legal engineers, and strategy managers who want to not only test AI, but also understand it structurally, this event looks at the shift from document-based work to structured legal data, and discusses the governance, legal responsibility, and regulatory context shaping AI adoption in law firms.

Join us to:

• Learn more about how to assess AI solutions beyond demos and prompts to better understand the roles of fine-tuning, RAG, memory layers, and structured knowledge systems.
• View concrete examples of how to structure legal knowledge (e.g., entity models, clause taxonomies, knowledge graphs) to move from document-based workflows to AI-ready systems.
• Gain practical guidance on implementing AI within legal organizations, covering responsibility, risk management, and alignment with regulatory frameworks such as the AI Act.