AI Risk Wire

Cases › made things up › LR-2026-0704

Illinois appeals court fines lawyer $15,000 over AI-generated fake citations

Preliminary Why: Publisher not yet named · subject to change

Status: no action reported

Severity minor
Reported 3 Aug 2026
Developer and model ChatGPT

No source states: loss or records, agent tool, could do, deployer, industry.

Severity minor: the sanction and referral concern one case and one lawyer; no third party's data or systems are stated as touched

A lawyer for a Starbucks employee used ChatGPT to help draft appellate briefs in a race discrimination appeal. The Illinois Appellate Court, First District, found the briefs contained false citations, misquotations and a case that does not exist, and attributed them to AI hallucinations. The lawyer said he had cross-checked citations with LexisNexis but overlooked several errors. The court upheld the dismissal of the underlying charge on jurisdictional grounds and imposed a $15,000 sanction, a flat $1,500 per false citation. Because the lawyer kept misstating the law after opposing counsel flagged the errors and after being warned of sanctions, the court referred him to the Illinois Attorney Registration and Disciplinary Commission.

What happened

1 · What went wrongThe filed briefs contained false citations and quotations, including a nonexistent case and misquoted statutes.
2 · What it reached or didThe false citations reached the Illinois Appellate Court, First District, in the appeal.

What was done

No source states an action or fix.

Risks

Read from the sources; not yet reviewed by a person.

Controls

Not yet read for controls. Controls that mitigate the primary risk:

Application

Grounding and fact checks · Human approval for high-impact actions · Output filtering and redaction · People told they are dealing with AI

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Evidence

No source states: what the AI was doing, how it was caught, when it happened, when it was found, how many records were exposed, the direct loss, a count of the other parties affected, any court case, the cause, what set it off, what was done.

Show every field, with its source and grade

The AI system

Model
ChatGPT
C one secondary source states it

What happened

Earliest source we hold
2026-08-03
D inferred by us from the described behaviour, reason shown
What went wrong
made things up
C one secondary source states it
primary risk
RK14
D inferred by us from the described behaviour, reason shown

Impact

Severity
minor
D inferred by us from the described behaviour, reason shown
Why this severity
the sanction and referral concern one case and one lawyer; no third party's data or systems are stated as touched
D inferred by us from the described behaviour, reason shown

Notes on gaps

No remediation by the lawyer or a provider is reported.

LR-2026-0704 · version 1 · published 2026-11-01 after automatic checks; not yet checked field by field by a person · JSON