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What Will You Learn?

  • Define artificial intelligence, machine learning, and large language models in plain English and explain the differences between them.
  • Identify at least five practical use cases for AI in legal, compliance, and risk management workflows.
  • Recognise the key limitations and risks of current AI tools, including hallucination, bias, and data confidentiality concerns.
  • Evaluate AI vendor claims using a structured framework and distinguish genuine capability from marketing hype.
  • Assess your team’s readiness for AI adoption using the provided self-assessment tool.

Course Content

What Is AI, Really?
Before you can make smart decisions about AI for your team, you need to understand what it actually is — and what it isn’t. This topic strips away the jargon and gives you a clear, practical understanding of artificial intelligence, machine learning, and large language models. No computer science degree required.

  • The AI Landscape in 90 Seconds
    01:26
  • AI, ML, and LLMs Explained
    07:51
  • How AI Actually “Thinks”
    04:14

AI in Legal & Compliance Work
Now that you understand what AI is, let’s look at what it can actually do for legal, compliance, and risk teams today. This topic covers five concrete use cases you can explore right now — and is equally honest about what AI still can’t handle.

Risks, Limitations & Responsible Use
AI brings real risks that legal and compliance professionals are uniquely positioned to understand and manage. This topic covers the risk landscape from hallucination and bias to data confidentiality and introduces the responsible use principles your team should adopt from day one.

Your Next Steps
You now have a solid foundation in AI. This final topic helps you apply that knowledge: how to cut through vendor hype, assess your team’s readiness, and decide what to do next. Complete the quiz to test your understanding and earn your certificate.

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