Applying AI in Legal and Law-Firm Practice (AIA)

AI - Artificial Intelligence, AI for Professions

This hands-on course teaches how AI transforms legal work, focusing on practical skills rather than theory. Through real-case exercises you will learn document automation, efficient legal research and building custom AI agents to streamline daily practice.

In this mostly practical course (98%) you'll build and test prompts, learn RAG and agent design, and apply prompt templates for consistent outputs. You will also cover ethics and compliance including GDPR, risk control and secure workflows.

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The course:

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  • Introduction to AI in legal practice
    1. Definition of AI, generative models (LLMs) and machine learning
    2. Opportunities and limits: from document processing to client service
    3. Ethical, legal and security principles: data, consent, responsibility
  • Ethics, compliance and accountability
    1. GDPR, the AI Act, and protection of client data (confidentiality)
    2. Accountability for AI outputs – who is responsible and how
    3. Internal policies, audits and employee training
  • Prompt templates
    1. How prompt templates work
    2. Where to find inspiration for templates
    3. Creating your own prompt templates
    4. Practical exercises, output comparisons and tool combinations
  • RAG – Building your own AI agent (Copilot Studio / ChatGPT / Claude)
    1. How Copilot agents operate and what problems they solve
    2. Practical demos: set up an agent to answer queries and manage data
    3. Workshop: design and test your first agent for legal tasks
  • AI tools for creating legal documents
    1. Generating contract clauses and standard documents
    2. AI assistance for argument drafting and spotting weaknesses
    3. Text review: detect risky phrasing, ensure consistency and clarity
    4. Practical demo: draft a contract and revise it with AI support
  • Integrating AI into the office: workflow and technical setup
    1. Designing the ideal process: lawyer ➝ AI ➝ output
    2. Connecting tools via Copilot/Office, APIs and internal systems
    3. Selection criteria: cost, security and user experience
  • Closing: discussion and strategic recommendations
    1. Open discussion
    2. Challenges: adopting new tech versus traditional practice
    3. Step-by-step recommendations for office adoption
Assumed knowledge:
Basic legal education and comfortable computer use; no prior AI expertise required.
Schedule:
1 day (9:00 AM - 5:00 PM )
Language: