Answer extracted from The Think Small Podcast — listen to the full episode below.
What are the risks of relying on AI case law citations in legal proceedings?
An attorney in Dallas was sanctioned for citing cases that ChatGPT entirely fabricated, exposing a critical flaw in relying on AI for legal research. In response, federal and state courts are rapidly amending their local rules to require disclosure whenever any part of a filed document contains AI-generated content.
The Dallas case serves as a stark warning: AI language models are designed to generate plausible-sounding text, not verified facts. As discussed in detail on The Think Small Podcast, judges are increasingly aware of these risks and have begun enforcing strict accountability measures.
Courts Are Moving Fast to Establish AI Disclosure Rules
The legal system is not waiting passively. Fort Worth and other courts have already amended their local rules to require explicit disclosure of AI-generated content in any filing. This means attorneys must now actively confirm whether any part of their briefs, motions, or other documents were created or edited using AI tools.
The shift reflects a broader recognition across federal and state courts that AI-generated content poses a serious risk to the integrity of legal proceedings. Any attorney who fails to disclose AI use faces potential sanctions, similar to the Dallas case.
"ChatGPT will tell you anything that you want to hear. Your prompt that you put into OpenAI is discoverable in litigation."
Brian Calhoun — Managing Partner at Calhoun Bhella LLP. Founded the firm in 2010 with partner Gwen Bella, and specializes in helping entrepreneurs and business owners navigate complex transactional and litigation matters, including acquisitions, corporate matters, and employment agreements.
This observation highlights two interconnected dangers: not only can AI generate false citations, but the very prompts attorneys use to create AI content are subject to discovery. This means an opposing party can examine the instructions an attorney gave to ChatGPT or other AI tools, potentially revealing strategic thinking or admissions that would otherwise remain confidential.
For business owners and entrepreneurs, the practical lesson is straightforward: as Brian Calhoun explains in the episode, any legal work that touches litigation must be handled by qualified human attorneys, not delegated to AI systems, no matter how convincing the output appears.
The courts' swift response also underscores that this is not a gray area. Transparency is now mandatory, and ignorance of AI use—or failing to disclose it—can result in professional sanctions and damage to your case.
See also
How should business owners approach using AI-generated legal content when facing litigation?
Business owners should not rely on AI for litigation matters because prompts entered into OpenAI are discoverable in litigation and are not protected by attorney-client privilege or work product doctrine.
What services does a boutique law firm focused on entrepreneurs offer compared to traditional big law practices?
At big law firms, smaller legal matters often go unaddressed because they are unwilling to take them on due to high retainers and hourly rates. Boutique firms specialize in serving entrepreneurs and business owners with personalized attention and flexible billing structures.
What metaphor does Ken Monroe use to explain the value of prevention-focused workforce safety programs?
Ken compares workforce safety to a fireman's work: while a fireman who rescues people from a burning building becomes a celebrated hero, an inspector who prevents fires from occurring is equally valuable but less celebrated.