Wallace v. PennyMac Loan Services, LLC
U.S. District Court, District of Nevada · D. Nev. · Nevada bar guidance
Conduct
Pro se filer cited five fabricated cases plus false quotes from real cases in a mortgage-servicing dispute against PennyMac.
Consequence
Warned under Rule 11(b)(2); future violations may draw monetary sanctions or claim-striking; briefing extended.
Lesson
The 'verify every citation' standing rule applies to pro se filers; AI use does not lower the verification bar.
Verified May 7, 2026
- Citation
- Wallace v. PennyMac Loan Servs., LLC, No. 2:25-cv-02297-APG (D. Nev. Mar. 26, 2026) (Gordon, C.J.)
- Decided
- March 26, 2026
Summary
Pro se plaintiff Anthony Wallace sued PennyMac Loan Services, LLC in the District of Nevada (No. 2:25-cv-02297). In a March 26, 2026 omnibus order on multiple motions, Chief Judge Andrew P. Gordon documented five fabricated case citations and false-quote attributions in Wallace's briefing: Shapiro v. JPMorgan Chase (S.D.N.Y.), Bally v. Home Loan Servicing (E.D. Cal.), Pasillas v. HSBC (D. Nev.), Boyle v. Bank of America (D. Nev.), and Holmes v. Countrywide (D. Nev.). Each of the three D. Nev. citations used a real docket number assigned to an unrelated case, the signature pattern of generative-AI hallucination. Gordon also identified false quotes attributed to Jolley v. Chase Home Finance and Weingartner v. Chase Home Finance. The order quotes the court's standing rule that "no brief, pleading, motion, or any other paper... should contain any citations that a [party] has not personally read and verified."
- AI tool:
- Generative AI (court named ChatGPT as exemplar; specific tool not affirmatively identified)
What sanction did the court impose?
No monetary sanction imposed. Court warned Wallace under FRCP 11(b)(2) that future violations may result in "an order to pay a penalty into court or nonmonetary sanctions, such as striking claims or defenses." On the merits, Gordon granted in part Wallace's motion to amend (declaratory relief only), denied as moot the dismissal, judicial-notice, and strike motions, and ordered supplemental briefing on injunctive relief.
Why does Wallace v. PennyMac Loan Services, LLC matter for law firms using AI?
Wallace v. PennyMac is the late-March anchor of a four-order cluster from Chief Judge Andrew P. Gordon’s chambers in D. Nev., spanning February 26 to March 26, 2026 (United States v. Ponce, Harwell v. WestCare, Taylor v. Las Vegas Metro, and this case). The same standing-rule language (“no brief… should contain any citations that a [party] has not personally read and verified”) runs through all four orders, making this chambers a useful primary-source reference for any firm drafting a verification policy. None of the four orders imposed monetary sanctions, but each identified the same pattern: pro se filers using AI-generated authority without independently checking each citation.
For firms with mortgage-servicing or consumer-finance practice areas in D. Nev., the operational implication is straightforward: pro se opponents’ filings are increasingly likely to include AI-fabricated authority, and Gordon’s chambers will document the pattern even when it does not change the merits outcome. The defense-side cost of building a citation-verification table on the front end is small relative to the value of having that record if Rule 11 escalation becomes appropriate later.
Implications for your firm
Operational steps a firm reading this case may wish to consider documenting. Strategic and rule-application calls belong to your firm's attorneys.
- Track Chief Judge Gordon's standing-rule language ('no brief... should contain any citations that a [party] has not personally read and verified') as the operative D. Nev. verification standard; this language recurs across his March 2026 cluster of orders.
- When defending a pro se mortgage-servicing case in D. Nev., build a citation-verification table early; Gordon's chambers is now actively flagging fake-case patterns and the defense record is what supports escalation if the conduct repeats.
- Watch for the 'real docket number, wrong case name' pattern: it is the most reliable AI-hallucination signature and the easiest to verify quickly via PACER lookup.