AI in Action: Transforming Legal, Compliance & Risk
Prepare your organization for the next era of intelligent operations
AI is advancing faster than regulatory frameworks, and legal, compliance and risk teams are under pressure to make decisions with more speed, accuracy and transparency. This session gives you the insights and practical tools you need to navigate that shift with confidence.
This webinar is designed for legal professionals, compliance officers, risk managers and anyone who wants to understand how AI can be applied safely, sustainably and with clear business value.
Why Attend?
You will learn how AI can strengthen decision-making, improve governance and unlock new levels of operational efficiency. We focus on real-world examples, actionable recommendations and the organizational prerequisites you need in place to succeed.
What You Will Learn
By the end of the session, you will understand how to:
- Identify high-value AI opportunities within legal, compliance and risk
- Strengthen analytical capabilities through automation and intelligent tooling
- Reduce operational risk by improving visibility, consistency and control
- Move beyond isolated pilots and generate measurable business outcomes
- Create the right technical and organizational conditions for responsible AI adoption
Date: 15 January 2026
Time: 12.00 - 13.00
Plats: Online - you will receive the link upon registration
Language: The webinar will be held in English
If you can’t join live, you’re still welcome to register. We’ll send you the recording so you can explore the insights at a time that works for you.
Speakers
Errol Norlum
Errol will walk you through the core building blocks for a successful AI initiative:
- What determines whether AI projects scale — or stall
- How to design AI capabilities that are secure, governed and value-driven
- How your organization can adopt AI step-by-step without losing control
Ignaz Füsgen
Ignaz will share practical examples of how AI already supports legal, compliance and risk functions:
- Automating manual tasks and document-heavy processes
- Enhancing research, analysis and decision support
- Reducing administrative burden while increasing accuracy and transparency
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