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HomeCasesGadban v. Israel Land Authority
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Corpus matter record

Gadban v. Israel Land Authority

D. Haifa · Aug 6, 2025

Direct answer

What happened in this matter?

The court found that 31 of 32 cited cases were fabricated by an unreliable computerized system. It ruled that counsel cannot delegate the duty of verification to staff or technology, stating that such conduct warrants dismissal of the claim and the imposition of costs for wasting judicial time.

Why the court cared
The court reasoned that counsel is professionally responsible for the accuracy of all filings and cannot shift blame to staff or automated tools. It determined that submitting non-existent authorities constitutes a lack of clean hands and a waste of public judicial resources.
Why it matters now
Thirty fabricated judgments in one brief is career-risk territory — enforce 100% citation sampling on any AI-drafted pleading.

Why this matter is tracked

In Gadban v. Israel Land Authority, the Haifa District Court addressed a claimant's submission of thirty-two legal citations, thirty-one of which were found to be non-existent. The claimant attributed the errors to a secretary using an unreliable computerized system. Judge Esperanza Alon rejected this defense, emphasizing that counsel bears non-delegable responsibility for the accuracy and reliability of all filed materials. The court noted that the submission of fabricated authorities wasted judicial resources and constituted a lack of clean hands. While the court indicated that such conduct justifies dismissal and the imposition of costs, it ordered the parties to proceed according to a prior directive, effectively highlighting the professional duty to verify all AI-generated or computer-assisted research before filing.

Operational lesson

Thirty fabricated judgments in one brief is career-risk territory — enforce 100% citation sampling on any AI-drafted pleading.

Record details

CourtD. Haifa
Jurisdictioninternational
CircuitNot recorded
DateAug 6, 2025
UN
AI toolunreliable computerized system
Party typeLawyer
OutcomeThe court criticized the claimant's conduct, noting it justified dismissal and costs, and ordered the parties to continue under previous directives.
Known amountNot recorded
Professional sanctionNo
Attribution boundary

What the record establishes about AI use

implied

The court identified the source as an unreliable computerized system.

Procedural posture

Decision on a request to strike citations following a court order requiring the claimant to produce the authorities cited in a prior response.

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 | over 30 judgments that were not located in the legal information systems

Questions this record answers

What happened in Gadban v. Israel Land Authority?
The court found that 31 of 32 cited cases were fabricated by an unreliable computerized system. It ruled that counsel cannot delegate the duty of verification to staff or technology, stating that such conduct warrants dismissal of the claim and the imposition of costs for wasting judicial time.
Why does Gadban v. Israel Land Authority matter for legal AI risk?
Thirty fabricated judgments in one brief is career-risk territory — enforce 100% citation sampling on any AI-drafted pleading.
What does the public record establish about Gadban v. Israel Land Authority?
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 Gadban v. Israel Land Authority 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.