AI for Legal and Regulatory Affairs

1

Days

Live or E-learning

Delivery Method

Fundamental

Skill Level

$800 USD

Fee

Overview

This course introduces professionals working in legal, regulatory, and compliance functions to how Artificial Intelligence (AI) and Generative AI can be applied responsibly to support legal analysis, regulatory compliance, and organizational governance. Designed for non-technical and cross-functional learners, the course focuses on AI awareness, practical legal and regulatory use cases, and hands-on application using conversational AI tools (such as ChatGPT or Gemini) and simple, no-code automation workflows.

The course emphasizes accuracy, accountability, confidentiality, and ethical use of AI in legal and regulatory contexts. It is structured into three progressive micro-courses—Fundamental, Intermediate, and Hands-On—allowing learners to understand where AI fits into legal and regulatory work and how it can be used safely and effectively as a decision-support tool rather than a replacement for professional judgment.

Completing this course will help you:

  • Explain core AI and Generative AI concepts in the context of legal and regulatory affairs.
  • Identify appropriate AI use cases across legal, regulatory, and compliance value chains.
  • Apply GenAI tools to common legal and regulatory support tasks such as drafting, summarization, and research.
  • Design simple, no-code AI-assisted workflows to improve efficiency and consistency.
  • Recognize sector-specific risks related to confidentiality, accuracy, bias, explainability, and regulatory compliance.
  • Propose responsible AI use cases aligned with legal and regulatory roles.

Curriculum

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Why WeCloudData

Built for real enterprise training.
WeCloudData programs are designed to scale with your organization, adapt to your business needs, and deliver practical, role-based skills that teams can apply immediately.

  • Scales from pilot teams to enterprise-wide rollouts
  • Co-designed around your roles, data, and business goals
  • Hands-on learning through real-world projects
  • Led by industry practitioners, not just instructors
  • Focused on measurable skill outcomes, not certificates
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