WEBINAR

AI Fundamentals
voor juristen

Many lawyers use AI without knowing how it works. That is risky. In this course, you will gain a grasp of the technology—from large language models to machine learning—and the legal framework that affects it. You will learn what the AI Act means for you, where the liability risks lie, and how to use AI responsibly in your own practice.

LONG

2 uur

LEVEL

Basic+

LOCATION

Online

€ 180,- excl. BTW

PO/PE-punten:
2 juridisch / fiscaal

Beschikbaar vanaf:
3 maart 2026

register

About this course

We start with the basics: what exactly is AI, what technologies does it include, and how do systems such as large language models (LLMs), machine learning and deep learning work at its core? You will learn to distinguish between white box and black box AI, between open source and commercial models, and between supervised and unsupervised learning - with an eye on the legal relevance of these technical differences.

Next, we delve into the legal and ethical framework of AI. What does the AI Act mean for lawyers, and how do European rules relate to Dutch law? What responsibilities do you have as a professional when using AI tools, and what about liability for AI-driven decisions? We pay attention to the tension between AI, privacy and intellectual property, as well as the risks of bias, discrimination and lack of transparency.

What is on the program?

The Foundations of AI

  • What is artificial intelligence

  • Definitions and core concepts

  • Machine learning, deep learning and generative AI explained

  • White box vs. black box AI, open source vs. commercial models, supervised vs. unsupervised learning

  • How AI systems learn and make decisions

  • Strengths and weaknesses of current AI technology

  • Myths and misconceptions about AI debunked

Legal and ethical frameworks

  • AI Act and other relevant European regulations

  • Dutch relevant laws and regulations

  • The tension between AI, privacy and IE

  • Professional responsibilities in AI use

  • Bias, discrimination and algorithmic transparency

  • Liability in AI-driven decisions

Security, confidentiality & privilege 

  • Using AI responsibly

  • Asking the right questions of suppliers 

  • Ensuring confidentiality

  • Transparency and accountability

  • Privacy and data protection in AI use

The future of legal work with AI

  • Current developments around AI

  • The impact of AI on the practice of law 

  • AI's impact on hiring and training new employees

For whom

This course is designed for legal professionals, including attorneys, judges, prosecutors, employees of the various ministries, employees of enforcement and investigative authorities, and compliance officers, who are interested in improving their understanding and skills in applying language models within their fields.

Participants who want to take advantage of advanced technologies to increase their efficiency, improve their services, and implement innovative solutions in their daily operations will benefit from this course.

The program is also suitable for IT professionals within the legal sector who work with legal teams and are involved in implementing and managing AI technologies.

Your teachers

Precious Chocolate

Legal Technology Consultant

Precious is a lawyer working at the intersection between technology and the law: cybersecurity, privacy and data protection. She has extensive knowledge of the legal, ethical and societal issues associated with artificial intelligence. In addition to technical knowledge, Pres's expertise includes the principles of AI systems, its regulation, and privacy protection. At The Innovative Lawyer, Precious supports legal professionals and organizations in (better) understanding, responsibly applying and implementing this technology in practice. Precious regularly acts as a lecturer and is characterized by her infectious energy, pragmatism, and innovative approach.

Peter Zinn

Cybersecurity Specialist & Speaker

In 1991, while studying computer science, Peter predicted that AI would reach human intelligence within a few decades, to which his philosophy professor vehemently disagreed. The disagreement is still ongoing. In 1992, he lost his first game of grind against a self-written program. 

After a career as a software engineer and algorithm designer for smart language matching (but before the introduction of LLMs), he made the move to the Police High Tech Crime Team. Among other things, this gave him a healthy dose of suspicion about the security of new technologies. 

Currently, Peter is a speaker and ambassador for AI as well as cybersecurity, two topics with a surprisingly large overlap. He highlights the possibilities behind the bubble, the risks and opportunities of modern AI.

Would you prefer a customized training program ?

We also provide all our training courses in-company. Fully tailored to your organization and ambitions. From small teams to office-wide.

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