Public trackerCorpus refreshed Nov 13, 2026 · Latest decision Nov 8, 2026Public incidents are risk signals, not usage-adjusted rates
HomeCasesMolly Ellis v. Kim McNeese, et al.
Evidence-linked corpus record: this page is generated from the structured public record and has a publication-readiness score of 81/100. It is publicly indexable with its documented evidence gaps stated on-page; the linked source and evidence boundary remain controlling.
Corpus matter record

Molly Ellis v. Kim McNeese, et al.

Record source: imported from Damien Charlotin’s AI Hallucination Cases Database (CC BY 4.0), which credits Volokh; linked document: reason.com. What AI Vortex adds.

Cite this record

CC Kansas · Apr 22, 2026

Direct answer

What happened in this matter?

Misrepresented: Case Law | State v. Baker was cited for legal propositions inconsistent with the decision. Outcome: Attorney-fee award halved; Bar referral.

Why the court cared
The structured public record identifies fake citations and misrepresented authority and records Attorney-fee award halved; Bar referral. The linked source controls the precise reasoning and procedural context.
Why it matters now
This matter connects fake citations and misrepresented authority with Attorney-fee award halved; Bar referral in CC Kansas. It provides a source-linked baseline for verification, supervision, and response controls.

Why this matter is tracked

Misrepresented: Case Law | State v. Baker was cited for legal propositions inconsistent with the decision. Outcome: Attorney-fee award halved; Bar referral.

Operational lesson

This matter connects fake citations and misrepresented authority with Attorney-fee award halved; Bar referral in CC Kansas. It provides a source-linked baseline for verification, supervision, and response controls.

Record details

KansasSingle-state evidence scope
Explore KSOpen its source-linked jurisdiction page and related matters.
CourtCC Kansas
Jurisdictionstate
Circuit10th Circuit
DateApr 22, 2026
First seenNov 13, 2026 (in this dataset)
AI toolNo tool named in source
Party typeLawyer
OutcomeAttorney-fee award halved; Bar referral
Known amountNot recorded
Professional sanctionYes
Attribution boundary

What the record establishes about AI use

not established

The current record does not establish a specific AI tool. Do not infer AI use beyond the source.

Procedural posture

Attorney-fee award halved; Bar referral

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. Misrepresented: Case Law | State v. Baker was cited for legal propositions inconsistent with the decision.
  2. Misrepresented: Case Law | Gannon v. State was cited for legal propositions inconsistent with the decision.
  3. Fabricated: Case Law | Counsel included at least six citations to nonexistent Kansas cases; the order does not identify those citations individually.

Questions this record answers

What happened in Molly Ellis v. Kim McNeese, et al.?
Misrepresented: Case Law | State v. Baker was cited for legal propositions inconsistent with the decision. Outcome: Attorney-fee award halved; Bar referral.
Why does Molly Ellis v. Kim McNeese, et al. matter for legal AI risk?
This matter connects fake citations and misrepresented authority with Attorney-fee award halved; Bar referral in CC Kansas. It provides a source-linked baseline for verification, supervision, and response controls.
What does the public record establish about Molly Ellis v. Kim McNeese, et al.?
The record summarizes the outcome described in the linked public source. The recorded link is a secondary public source and should be checked against the docket where available. This page is not a substitute for the complete docket, subsequent history, or jurisdiction-specific advice.
Which source supports this Molly Ellis v. Kim McNeese, et al. summary?
The recorded source is reason.com. It is classified as secondary or other linked source; review the linked material and subsequent docket history before relying on this summary.
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