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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteA Wyoming federal case involving Morgan & Morgan shows the real risk of AI-assisted legal work: not that using AI is automatically forbidden, but that lawyers remain responsible for every authority they submit. The firm warned that ignoring verification rules could bring court sanctions, professional discipline, reputational damage and internal discipline “up to and including termination.” The public record does not establish that anyone was fired in this incident.
What happened in the Walmart hoverboard case
The dispute involved allegations that a defective hoverboard sold by Walmart and made by Jetson Electric Bikes caused a house fire and serious injuries. On January 22, 2025, plaintiffs’ lawyers filed motions in limine citing nine cases. Eight of those cases did not exist, according to later court-related reporting. Walmart’s lawyers could not find the authorities in Westlaw, LexisNexis, PACER or Google and identified signs that the citations came from AI-generated material.
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Attorney Rudwin Ayala acknowledged using the firm’s AI-related research tool, identified in court materials as MX2.law, to add case law to the motions. The motions were withdrawn, the lawyers apologized, and Ayala was replaced as lead counsel before the sanctions ruling.
The count matters: early coverage described “eight nonexistent cases,” while the later account specifies nine cited cases, eight of them nonexistent. The remaining citation was not described as fabricated in that reporting.
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Justia’s case summary and the court’s sanctions order provide the underlying chronology.
What Morgan & Morgan warned its lawyers
Morgan & Morgan circulated a warning that generative AI can produce plausible but fabricated case law. It instructed lawyers to verify any authority independently and not to use AI as the sole source for dependable legal research or brief drafting. The stated consequences included:
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- court sanctions;
- professional discipline;
- reputational harm; and
- internal discipline up to and including termination.
The firm also added an acknowledgment checkbox before users could access its internal AI platform. That checkbox records that a user saw the warning; it does not check whether a case exists, validate a quotation or create a legal safe harbor.
The warning followed the incident, but the firm did not publicly announce that Ayala, supervising attorney T. Michael Morgan or local counsel Taly Goody had been fired. The termination language describes a possible employment consequence, not a confirmed one in this case. Ars Technica reported the firm’s policy and post-incident response, including plans for additional training, technology and risk-management measures.
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What the court actually imposed
The Wyoming federal court treated the filing as a failure to make the reasonable inquiry required by Federal Rule of Civil Procedure 11. A fabricated opinion is not existing law and cannot provide a non-frivolous basis for an argument, the court explained.
| Lawyer or outcome | Verified consequence |
|---|---|
| Rudwin Ayala | $3,000 monetary penalty and revocation of his pro hac vice admission |
| T. Michael Morgan and Taly Goody | Additional monetary sanctions |
| All three attorneys | $5,000 in total monetary penalties and required remediation connected with the erroneous filing |
The court action was reported on February 24, 2025. These consequences were sanctions and a court-status ruling—not disbarment, a criminal conviction or a confirmed state-bar suspension. The searchable ruling is available through FindLaw, with analysis from LawNext.
Why “the AI did it” is not a defense
Generative systems predict likely text; they do not automatically establish that a proposition is true. They can produce realistic case names, reporter citations, holdings, quotations and procedural histories that have no corresponding opinion. A real case can also be paired with a false quotation, the wrong holding, an incorrect pin cite, an outdated version of the law or the wrong jurisdiction.
The legal duty therefore attaches to the filing lawyer, not to the software. A lawyer who signs or submits a brief remains responsible for reasonable inquiry. Supervisors and other attorneys who approve or sign a filing may face exposure even if another person drafted the language. The Wyoming court noted that Ayala had access to established research resources, including Westlaw, making the failure to check the authorities especially difficult to excuse.
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Different kinds of AI citation errors
- Nonexistent case: the cited decision cannot be found in an authoritative source.
- Real case, false quotation: the opinion exists, but the quoted words do not.
- Real case, misstated holding: the decision is cited for a proposition it does not support.
- Wrong citation or pin cite: the reference points to another decision or an unrelated passage.
- Bad status: the authority was overruled, vacated, superseded or materially limited.
- Jurisdictional mismatch: the source does not govern the court or issue presented.
Withdrawal before filing is materially different from submitting false authority to a judge. Prompt correction and candor can affect the response, but withdrawing a motion does not erase the original filing or the cost imposed on the opposing party and court.
A defensible pre-filing verification workflow
- Mark every AI-generated authority unverified. Do not treat fluent prose or a confident citation as evidence.
- Search an authoritative source. Use the official court, a trusted legal database or the docket—not another chatbot.
- Confirm identity. Check that the case exists, the citation matches the stated decision, and the court, jurisdiction and date are correct.
- Open the original opinion. Locate the quoted language and read enough surrounding text to understand its context.
- Test the proposition. Confirm that the actual holding supports the sentence in the brief and that the procedural posture is comparable.
- Check current validity. Review later treatment for overruling, vacatur, supersession or limiting decisions.
- Preserve the record. Save the source link or document and note who performed the check.
- Obtain a second human review for high-risk filings. Use an independent lawyer for dispositive motions, emergency applications, sanctions responses and briefs containing unfamiliar authorities.
- File only when every authority has a traceable primary source.
A second chatbot is not an independent verifier: two generative systems can repeat the same invented citation.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Consumer chatbot or legal research platform?
| Option | Strengths | Limits |
|---|---|---|
| Consumer chatbot | Accessible for brainstorming, issue spotting, summaries and drafting questions | High risk of fabricated authorities, confidentiality concerns and little auditability; never use as the sole research source |
| Legal research platform with AI | Controlled legal content, source links, database integration and administrative controls | Usually costly and still requires inspection of the underlying authority |
| Retrieval-grounded tool | Lower hallucination risk when restricted to a defined corpus | Can still misread or overstate sources; coverage, currency and citator quality vary |
Products such as Westlaw Precision, CoCounsel, Lexis+ AI, Harvey, Fastcase and vLex differ in corpus, workflow and governance. None removes the lawyer’s duty to read and verify the source. Current prices and included coverage require a direct vendor check; no reliable public price was established for these products.
Controls law firms should require
- An approved-use policy separating research, summarization, drafting, client communications and court filings.
- Human verification of every authority, quotation, statistic and material factual assertion.
- A mandatory source-link or citation field before a document can be approved for filing.
- Automated citation checks against a trusted database, supplemented by human review.
- Audit logs showing who generated, reviewed and approved AI-assisted text.
- Confidentiality rules covering uploads, retention, training use, deletion and matter segregation.
- Training built around realistic hallucinated citations and false quotations.
- Supervisory approval for filings containing AI-assisted content.
- Incident reporting, correction and client-notification procedures when an error is found.
- Periodic testing for fabricated authorities, jurisdiction errors and unsupported quotations.
Questions to ask an AI legal-research vendor
- What primary-source corpus does the system search, and which jurisdictions and dates does it cover?
- Does every answer link to the underlying opinion, statute, regulation or docket document?
- How does the product flag nonexistent citations and unsupported quotations?
- Can administrators audit prompts, outputs, approvals and revisions?
- Is client data retained or used to train models, and how can it be deleted?
- What citator functions identify authorities that were overruled, vacated or limited?
- Can the interface distinguish retrieved text from generated analysis?
- What does the system do when it finds no supporting authority?
- What contractual limits, security commitments and liability terms apply?
What this incident does—and does not—prove
It does not show that AI use is categorically banned in courts, that every legal-AI answer is fabricated, or that a premium product is hallucination-proof. Court-specific disclosure rules also vary by jurisdiction. It does show that a firm-provided tool does not transfer professional responsibility to the vendor, and that a warning or checkbox is weaker than a workflow that forces source inspection and human approval.
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AI can assist legal work, but it cannot assume a lawyer’s duties of accuracy, candor, supervision and reasonable inquiry. In the Morgan & Morgan matter, those duties led to sanctions and loss of court standing; the firm’s warning makes termination a possible internal consequence, not a proven outcome of this case.
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