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Course Content
Module 1: Introduction to Large Language Models (LLMs) in Law
0/5
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
0/5
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
0/5
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
0/5
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
0/6
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
Module 5 Quiz: Building a Personal Prompt Library and Future Trends
00:15:00
Introduction to Large Language Models (LLMs) in Law
Prompt Engineering for Legal Applications

Advanced Prompt Techniques for Legal Work

Once ICI is solid, use advanced techniques to get more reliable outputs and reduce rework.

Key takeaways

  • Use persona to control tone; use constraints to control risk.
  • Few-shot examples are the fastest way to improve structure.
  • For legal tasks, ask for assumptions and a verification checklist.

Persona and role assignment

Example: “You are a senior employment lawyer drafting for a conservative federal judge.” Persona helps with tone, structure, and issue-spotting.

Conditional instructions (if/then logic)

If the document mentions arbitration, extract the clause and summarize: scope, seat, rules, carve-outs, and fees.

Few-shot examples

Provide a mini-example of the input and the output you want. This can dramatically improve extraction and formatting tasks.

Constraining the model to reduce hallucinations

  • Tell the model to use only pasted text
  • Require it to quote before it paraphrases
  • Ask it to identify assumptions
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