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Corpus matter record

Jamal Berry v. Early Warning Services

E.D. Pennsylvania · Apr 30, 2026

Direct answer

What happened in this matter?

The court issued a formal warning to a pro se litigant for violating Rule 11 by submitting an opposition brief containing fabricated case law and misattributed quotes. The court explicitly attributed the use of these fictitious authorities to the plaintiff's use of artificial intelligence and cautioned that future violations could lead to severe sanctions.

Why the court cared
The court reasoned that under Rule 11, all litigants, including those appearing pro se, must conduct a reasonable inquiry into the law before filing. The court found the plaintiff failed this duty by submitting nonexistent cases and mischaracterized opinions, which it determined were generated by artificial intelligence.
Why it matters now
This case illustrates the judicial response to AI-generated hallucinations in pro se filings. It reinforces that Rule 11 obligations apply equally to unrepresented parties and that courts will actively identify and penalize the use of fictitious legal research.

Why this matter is tracked

In a Fair Credit Reporting Act (FCRA) case, the court granted the defendant's motion to dismiss the pro se plaintiff's complaint for failure to state a claim. During the proceedings, the court identified that the plaintiff's opposition brief contained multiple fabricated legal citations, nonexistent case law, and mischaracterized judicial opinions. The court explicitly attributed the submission of these false authorities to the plaintiff's use of artificial intelligence. Consequently, the court issued a formal warning to the plaintiff, emphasizing that pro se litigants are bound by Rule 11 of the Federal Rules of Civil Procedure and that future reliance on fictitious case law may result in severe sanctions.

Operational lesson

This case illustrates the judicial response to AI-generated hallucinations in pro se filings. It reinforces that Rule 11 obligations apply equally to unrepresented parties and that courts will actively identify and penalize the use of fictitious legal research.

Record details

PennsylvaniaSingle-state evidence scope
Explore PAOpen its source-linked jurisdiction page and related matters.
CourtE.D. Pennsylvania
Jurisdictionfederal
Circuit3rd Circuit
DateApr 30, 2026
AR
AI toolArtificial Intelligence (unspecified)
Party typePro Se Litigant
OutcomeThe court granted the defendant's motion to dismiss the complaint and issued a formal warning to the plaintiff regarding future Rule 11 compliance.
Known amountNot recorded
Professional sanctionNo
Attribution boundary

What the record establishes about AI use

admitted

The court stated the plaintiff used artificial intelligence.

Procedural posture

Motion to dismiss granted; Rule 11 warning issued.

Correction behavior

Correction behavior is not separately verified in the current record.

Tracked discrepancy record

3 citation, quotation, or authority issues are recorded in the source dataset.

  1. False Quotes: Case Law | Plaintiff quoted a passage purportedly from McIvor v. Credit Control Servs., 773 F.3d 909 (8th Cir. 2014); the court found the quoted passage does not appear in the opinion and the pincite (page 918) is nonexistent.
  2. Fabricated: Case Law | Plaintiff cited Gonzalez v. Experian Info. Sols., Inc., No. 20-cv-8997, 2021 WL 7285265 (C.D. Cal. 2021); the court found that citation does not appear on Westlaw and the docket number corresponds to a different case—i.e., a fabricated or incorrect citation.
  3. Misrepresented: Case Law | Plaintiff relied on Weseman v. Wells Fargo Home Mortg., No. 06-1338, 2008 WL 542961 (D. Or. Feb. 22, 2008) and attributed to it a rule about disputes transmitted through the CFPB triggering CRA duties; the court found Weseman addressed preemption and involved a furnisher, not a CRA, so the plaintiff mischaracterized the opinion.

Questions this record answers

What happened in Jamal Berry v. Early Warning Services?
The court issued a formal warning to a pro se litigant for violating Rule 11 by submitting an opposition brief containing fabricated case law and misattributed quotes. The court explicitly attributed the use of these fictitious authorities to the plaintiff's use of artificial intelligence and cautioned that future violations could lead to severe sanctions.
Why does Jamal Berry v. Early Warning Services matter for legal AI risk?
This case illustrates the judicial response to AI-generated hallucinations in pro se filings. It reinforces that Rule 11 obligations apply equally to unrepresented parties and that courts will actively identify and penalize the use of fictitious legal research.
What does the public record establish about Jamal Berry v. Early Warning Services?
The record summarizes the outcome described in the linked public source. The recorded document is hosted in the upstream publisher archive. This page is not a substitute for the complete docket, subsequent history, or jurisdiction-specific advice.
Which source supports this Jamal Berry v. Early Warning Services summary?
The recorded source is Damien Charlotin case archive. It is classified as publisher document archive; review the linked material and subsequent docket history before relying on this summary.

Related matters

Related by court, jurisdiction, tool, or classified failure pattern. Similarity does not imply the same facts or outcome.