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Course Content
Module 1: Introduction to Large Language Models (LLMs) in Law
What LLMs Are (and Aren’t): A Lawyer‑Friendly Mental Model Legal Use Cases & Risk Tiers
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Welcome & How to Use This Course
What LLMs Are (and Aren’t): A Lawyer‑Friendly Mental Model
Legal Use Cases & Risk Tiers
Module 1 Knowledge Check (Self‑Check)
Module 1 Quiz: Introduction to LLMs in Law
00:15:00
Module 2: Fundamentals of Effective Prompt Design for Legal Tasks
The ICI Framework: Intent + Context + Instruction Advanced Prompt Techniques for Legal Work Prompt Debugging: Lost Middle, Ambiguity, and Token Hygiene
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The ICI Framework: Intent + Context + Instruction
Advanced Prompt Techniques for Legal Work
Prompt Debugging: Lost Middle, Ambiguity, and Token Hygiene
Module 2 Knowledge Check (Self‑Check)
Module 2 Quiz: Fundamentals of Effective Prompt Design for Legal Tasks
00:15:00
Module 3: Verifying and Validating AI-Generated Legal Content
Validation Mindset: Why Verification Is Non‑Negotiable Hallucinations in Legal Content: Red Flags & Fixes Bias, Relevance, and Fit: Quality Control Beyond Accuracy
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Validation Mindset: Why Verification Is Non‑Negotiable
Hallucinations in Legal Content: Red Flags & Fixes
Bias, Relevance, and Fit: Quality Control Beyond Accuracy
Module 3 Knowledge Check (Self‑Check)
Module 3 Quiz: Verifying and Validating AI-Generated Legal Content
00:15:00
Module 4: Ethical Considerations and Responsible AI Use in Law
Confidentiality & Data Handling: What You Can Paste Into AI Competence, Supervision, and Accountability with AI Build Your Firm AI Policy Template
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Confidentiality & Data Handling: What You Can Paste Into AI
Competence, Supervision, and Accountability with AI
Build Your Firm AI Policy Template
Module 4 Knowledge Check (Self‑Check)
Module 4 Quiz: Ethical Considerations and Responsible AI Use in Law
00:15:00
Module 5: Building a Personal Prompt Library and Future Trends
Designing a Personal Prompt Library Future Trends: Specialized Legal Models, RAG, and Agents Build 10 High-Value Prompts You’ll Actually Reuse Final Assessment: Applied Prompt Engineering Scenario
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Designing a Personal Prompt Library
Future Trends: Specialized Legal Models, RAG, and Agents
Build 10 High-Value Prompts You’ll Actually Reuse
Module 5 Knowledge Check (Self‑Check)
Final Assessment: Applied Prompt Engineering Scenario
Prompt Engineering for Legal Applications

Legal Use Cases & Risk Tiers

Not every use case has the same risk. The key is to match the tool to the task and add controls where the stakes are high.

Use-case risk matrix: low-risk drafting vs high-risk legal conclusions (conceptual).

Key takeaways

  • Match the tool to the task: higher stakes require more controls.
  • Treat citations as untrusted until verified.
  • Avoid putting sensitive client data into public AI tools.

Low-risk, high-value tasks

  • Drafting internal outlines
  • Summarizing a provided document (you supply the text)
  • Creating checklists and workflows

Medium-risk tasks (require verification)

  • Drafting a client email (must review facts and tone)
  • Generating a first-pass issue list for a motion
  • Spotting missing clauses in a contract (still verify)

High-risk tasks (do not delegate judgment)

  • Final legal conclusions
  • Novel or unsettled legal questions
  • Anything involving confidential client data in an unvetted system

Your risk controls toolkit

In later modules, you’ll learn controls such as: jurisdiction constraints, required citations, explicit uncertainty, step-by-step checklists, and external verification.

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