Public trackerEvidence checked Jul 23, 2026 · Latest decision Jul 21, 2026Public incidents are risk signals, not usage-adjusted rates
Home/Cases/Rajib Kumar Dhali v Maybank Singapore Limited
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Fabricated: Case Law | Claimant cited multiple case precedents that were fictitious or did not support the propositions cited; court found these to be AI-generated and erroneous. Outcome: Misconduct taken into account for adverse costs order.
Why the court cared
The record concerns whether authorities presented to the decision-maker existed and could be verified. The tracked outcome is Misconduct taken into account for adverse costs order; the linked source controls the precise reasoning.
Why it matters now
This matter connects pro se and fake citations involving AI (implied, unspecified) with Misconduct taken into account for adverse costs order in Magistrate's Court, making it a concrete reference point for verification, supervision, and response controls.
Why this matter is tracked
Fabricated: Case Law | Claimant cited multiple case precedents that were fictitious or did not support the propositions cited; court found these to be AI-generated and erroneous. Outcome: Misconduct taken into account for adverse costs order.
Operational lesson
This matter connects pro se and fake citations involving AI (implied, unspecified) with Misconduct taken into account for adverse costs order in Magistrate's Court, making it a concrete reference point for verification, supervision, and response controls.
Record details
CourtMagistrate's Court
Jurisdictioninternational
CircuitNot recorded
DateOct 14, 2025
AI
AI toolAI (implied, unspecified)
Party typePro Se Litigant
OutcomeMisconduct taken into account for adverse costs order
Known amountNot recorded
Professional sanctionNo
Attribution boundary
What the record establishes about AI use
reported
AI (implied, unspecified) is recorded in the source dataset; confirm the basis in the linked document.
Procedural posture
Misconduct taken into account for adverse costs order
Correction behavior
Correction behavior is not separately verified in the current record.
Tracked discrepancy record
2 citation, quotation, or authority issues are recorded in the source dataset.
Fabricated: Case Law | Claimant cited multiple case precedents that were fictitious or did not support the propositions cited; court found these to be AI-generated and erroneous.
Fabricated: Legal Norm | Claimant cited statutory provisions that were fictitious or wrongly attributed, described by the court as generated by artificial intelligence.
Questions this record answers
What happened in Rajib Kumar Dhali v Maybank Singapore Limited?
Fabricated: Case Law | Claimant cited multiple case precedents that were fictitious or did not support the propositions cited; court found these to be AI-generated and erroneous. Outcome: Misconduct taken into account for adverse costs order.
Why does Rajib Kumar Dhali v Maybank Singapore Limited matter for legal AI risk?
This matter connects pro se and fake citations involving AI (implied, unspecified) with Misconduct taken into account for adverse costs order in Magistrate's Court, making it a concrete reference point for verification, supervision, and response controls.
What does the public record establish about Rajib Kumar Dhali v Maybank Singapore Limited?
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 Rajib Kumar Dhali v Maybank Singapore Limited 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.