Lawyers, GenAI, and the Duty to Verify Citations (Full Transcript)

The Avianca case shows how overreliance on generative AI can breach ethical duties—lawyers must supervise tech use and independently verify authorities.

Download Transcript (DOCX)

Speakers

Add new speaker

[00:00:00] Speaker 1: And so what we're seeing, even in the big Avianca case, the first one, the guy watched a YouTube video because his kid said Gen AI is cool. And then when he got caught with his pants down, instead of saying, oh, let me look at the citations, actually do the work of lawyering. He asked the generative AI, did I get it wrong, right? That was bad lawyering. So a lot of times what you're seeing is people not doing the basic due diligence, the ethical obligation to supervise a little bit of its tech competence and knowing where the failings are with tech. But the other is just because the robot said it doesn't mean you don't have to do the lawyer stuff of trust, but verify.

Summary

The speaker cites the Avianca case to illustrate poor lawyering involving generative AI: an attorney relied on a YouTube-inspired use of GenAI, failed to verify citations, and then asked the AI to confirm whether it was wrong. The core issue is neglecting basic due diligence and ethical duties of supervision and technological competence. The takeaway is that lawyers must “trust but verify” and still perform traditional legal validation rather than deferring to an AI’s assurance.

Copy

Download

Title

GenAI Misuse in Law: Due Diligence and ‘Trust but Verify’

Copy

Download

Keywords

Avianca case Remove

Remove

generative AI Remove

Remove

legal ethics Remove

Remove

due diligence Remove

Remove

citation checking Remove

Remove

technological competence Remove

Remove

supervision duty Remove

Remove

hallucinations Remove

Remove

trust but verify Remove

Remove

professional responsibility Remove

Remove

Copy

Download

Key Takeaways

Generative AI outputs do not replace core lawyering tasks like checking citations and sources.
Ethical duties include supervising technology use and maintaining tech competence.
Asking an AI to validate its own work is not a reliable safeguard.
Failures often stem from skipping basic due diligence rather than the technology itself.
A practical rule is ‘trust but verify’: independently confirm AI-generated legal authorities.

Copy

Download

Sentiments

Negative: Critical tone focused on misconduct and negligence, emphasizing ethical lapses, lack of verification, and consequences of overreliance on AI.

Copy

Download

Enter your query

{{ secondsToHumanTime(time) }}

Back

Forward

{{ Math.round(speed * 100) / 100 }}x

{{ secondsToHumanTime(duration) }}

Select Audio file