About Course
Instructor: Jeff Kirksey
This free course teaches attorneys and legal professionals how to use large language models (LLMs) effectively and responsibly through practical prompt engineering. You will learn how to design prompts for common legal workflows (research, drafting, summarization, analysis), verify AI-generated outputs, and build guardrails that support ethical and defensible practice.
What you will learn
- How LLMs work at a high level—and why they can be helpful but unreliable.
- The ICI framework (Intent + Context + Instruction) for repeatable prompt design.
- Verification and validation techniques to reduce hallucinations and errors.
- Ethical and professional responsibility considerations (confidentiality, competence, supervision, transparency).
- How to build and maintain a personal prompt library for consistent results.
How to use this course
- Each module includes short lessons, examples, and a knowledge check.
- Visual aids are referenced as
{{UPLOAD_ASSET:filename.png}}. Upload included images to WordPress Media Library, then replace{{MEDIA_URL}}with your uploads base URL. - Always treat AI output as a draft. You remain responsible for the final work product.
Reference links (optional)
- ABA Formal Opinion 512 (Generative Artificial Intelligence Tools) — July 29, 2024
- NIST AI Risk Management Framework (AI RMF 1.0)
- Mata v. Avianca, Inc. (S.D.N.Y. June 22, 2023) — Opinion & Order
Last updated: January 2026.
Course Content
Module 1: Introduction to Large Language Models (LLMs) in Law
Module 2: Fundamentals of Effective Prompt Design for Legal Tasks
Module 3: Verifying and Validating AI-Generated Legal Content
Module 4: Ethical Considerations and Responsible AI Use in Law
Module 5: Building a Personal Prompt Library and Future Trends
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