---
title: 'AI and Content Creation in Legal Practice: Staying Ethical | CLE Clip with Jeff Howell, Esq.'
source: 'https://youtube.com/watch?v=d3wI7_Czgmo'
video_id: 'd3wI7_Czgmo'
date: 2026-08-21
duration_sec: 165
channel: 'Lex Wire Journal'
---

# AI and Content Creation in Legal Practice: Staying Ethical | CLE Clip with Jeff Howell, Esq.

> Source: [AI and Content Creation in Legal Practice: Staying Ethical | CLE Clip with Jeff Howell, Esq.](https://youtube.com/watch?v=d3wI7_Czgmo)

## Summary

This video discusses the practical and ethical use of AI in legal practice, focusing on content creation and research. It emphasizes the importance of verifying AI-generated work and introduces the 'AI sandwich' approach for combining AI efficiency with traditional research reliability.

### Key Points

- **AI in Content Creation and Research** [00:02] — AI can be a powerful tool for drafting briefs, memos, and case summaries, but it requires careful review to ensure accuracy and appropriateness.
- **Quality Control is Essential** [00:18] — Treat AI output like a contract: read every word, verify citations, and ensure legal principles are correctly stated and applied to the specific case.
- **Example: Drafting a Motion** [00:32] — AI can produce a 15-page brief in minutes, but attorneys must check that cases exist and say what AI claims, and that arguments fit the jurisdiction and judge.
- **Risks of Unreviewed AI Briefs** [01:29] — Attorneys who let AI write without review may end up with briefs that sound correct but are tone-deaf to the actual case.
- **AI for Legal Research** [01:42] — AI is useful for initial exploration, brainstorming, and explaining concepts, but results must be verified using traditional databases like Westlaw or LexisNexis.
- **The AI Sandwich Approach** [02:14] — Start with AI to generate ideas, follow with traditional research to verify, and then use AI again to organize and present the final analysis.

### Conclusion

AI can significantly enhance legal work, but it must be used as a supplement to, not a replacement for, traditional legal research and careful review. The AI sandwich method balances speed with accuracy.

## Transcript

landmines? Let's break this down by specific use cases keeping it practical and grounded in real world scenarios that you may encounter in your practice. The first is content creation and research. Now, in
this case, AI can be your best friend or your worst enemy depending on how you handle it because these tools can churn out draft briefs, research memos, and case summaries faster than you could ever imagine. But you've got to check
the work like you're a quality control inspector. inspector. Let's say you're using AI to draft a motion for summary judgement. The AI spits out a beautiful 15-page brief,
case citations, legal arguments, formatted professionally, looks great, sounds convincing, saves you eight hours of work. But before you hit print and head to the courthouse, you've got to read every single word like it's a
contract you're signing off on. Check every case citation. And that means not just checking that the case exists, but that it actually says what the AI claims it says. Verify that the legal principles are correctly stated and
properly applied to your specific uh fact scenario. Make sure the arguments make sense in the context and for the tone that's appropriate for your jurisdiction and judge. I've heard about attorneys who
judge. I've heard about attorneys who let AI write a brief without reviewing and they end up with briefs that sound technically correct but are completely technically correct but are completely tonedeaf for the actual case. For legal
research, AI is incredibly powerful for the initial exploration and brainstorming. You can ask it to identify relevant legal theories, find similar cases, or explain complex legal concepts. But always verify the results
using traditional legal databases like WLAW or or Lexus. Use AI research just as a starting point and not as an ending point. I'm sure some of you have heard of what's called a feedback sandwich. Well,
there's a practical approach to using AI that I call the AI sandwich. And basically, it's just start with AI to generate ideas and find potential sources, but then follow that up with traditional research methods to verify
and expand on those findings. And then follow that up with using AI again to help you organize and present your final analysis. This gives you the speed benefits of AI while maintaining the accuracy and reliability of traditional
accuracy and reliability of traditional research methods.