The path
| Stage | Goal | Read |
|---|---|---|
| 1. Basics | Understand what generative AI does and gets wrong | /ai, /resources/notion-ai-for-lawyers |
| 2. Ethics | Know the professional duties involved | /ai/ethics |
| 3. Confidentiality | Decide what data may go where | /ai/confidentiality |
| 4. Workflows | Try supervised uses on low-risk work | /ai/prompts, /ai/workflows |
| 5. Policy | Write your own short AI-use policy | /guides/firm-ai-policy-template-for-lawyers |
Links for each stage
What this is and is not
- It is a reading path with practical exercises you do yourself.
- It is not a course with a certificate or accreditation.
- It is not legal advice or a guide to any specific jurisdiction's rules.
- It is not training for CPD credit; check with your regulator if you need that.
A reasonable exercise for stage 4: take one internal, non-confidential task, run it through an AI tool, and write down what you had to correct. ABA Formal Opinion 512 (July 2024) is a useful reading for US lawyers on generative AI and the Model Rules, but other jurisdictions have their own guidance.
Exercises for each stage
| Stage | Exercise |
|---|---|
| Basics | Ask an AI tool a question you know the answer to and mark every error |
| Ethics | List the professional duties your regulator says apply to AI use |
| Confidentiality | Write down what categories of data you will never paste into a tool |
| Workflows | Try one supervised task and record the time saved and the corrections needed |
| Policy | Draft a one-page policy and ask a colleague to challenge it |
Frequently asked questions
- Is this an accredited course?
- No. It is a self-paced guide.
- Is there a certificate?
- No.
- How long does it take?
- A few hours of reading and exercises.
- Does it cost anything?
- No, the linked pages are free.
About the author
Raghav Handa trained as a lawyer, then spent years building legal technology, from enterprise legal products to custom systems for law firms.
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