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HomeCasesIlan Harush v. Roee Alfasi
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Corpus matter record

Ilan Harush v. Roee Alfasi

Magistrate's Court, Rehovot · Sep 28, 2025

IsraelEditorial impact: lowfake citationscontracttrialMonetary
Direct answer

What happened in this matter?

The court denied the plaintiff's motion to transfer the case to ordinary procedure. Regarding the AI-generated citations, the court declined to award costs to either party, effectively offsetting the defendant's potential entitlement to costs against the plaintiff's misconduct with the fabricated AI-generated case law.

Why the court cared
The court reasoned that the plaintiff's motion to transfer was an attempt to circumvent a prior judicial decision. Regarding costs, the court balanced the plaintiff's procedural failure against the defendant's submission of AI-generated fabricated case law, concluding that each party should bear their own costs.
Why it matters now
Israeli courts now disallow costs entirely when fabricated AI cites are in the record; fees are the first line of defense.

Why this matter is tracked

In Ilan Harush v. Roee Alfasi, the Rehovot Magistrate Court addressed a motion to transfer a fast-track monetary dispute to ordinary procedure. The plaintiff sought the transfer to facilitate discovery regarding website server details. The defendant opposed the motion, noting that the plaintiff had previously submitted fabricated case law generated by AI. The court denied the motion to transfer, citing procedural efficiency and the plaintiff's failure to seek appropriate remedies earlier. Regarding the AI-generated citations, the court observed that while the defendant's motion would typically warrant a costs order against the plaintiff, the defendant's own reliance on AI-fabricated precedents justified a mutual waiver of costs. Consequently, the court ordered each party to bear its own legal expenses.

Operational lesson

Israeli courts now disallow costs entirely when fabricated AI cites are in the record; fees are the first line of defense.

Record details

CourtMagistrate's Court, Rehovot
Jurisdictioninternational
CircuitNot recorded
DateSep 28, 2025
UN
AI toolUnidentified
Party typeLawyer
OutcomeThe motion to transfer was denied, and the court ordered that each party bear its own costs due to the submission of AI-fabricated case law by the parties.
Known amount₪0
Professional sanctionNo
Attribution boundary

What the record establishes about AI use

admitted

The court refers to AI-generated case law without naming a specific tool.

Procedural posture

The court issued a decision on a motion to transfer a fast-track monetary dispute to ordinary procedure.

Correction behavior

Correction behavior is not separately verified in the current record.

Tracked discrepancy record

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

  1. Fabricated: Case Law

Questions this record answers

What happened in Ilan Harush v. Roee Alfasi?
The court denied the plaintiff's motion to transfer the case to ordinary procedure. Regarding the AI-generated citations, the court declined to award costs to either party, effectively offsetting the defendant's potential entitlement to costs against the plaintiff's misconduct with the fabricated AI-generated case law.
Why does Ilan Harush v. Roee Alfasi matter for legal AI risk?
Israeli courts now disallow costs entirely when fabricated AI cites are in the record; fees are the first line of defense.
What does the public record establish about Ilan Harush v. Roee Alfasi?
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 Ilan Harush v. Roee Alfasi 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.

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