Forbes Monaco APAC v Kawajiri Seiji
High Court · Jan 21, 2026
What happened in this matter?
The court found that the litigant cited at least nine fictitious legal authorities in his filings. The litigant attempted to attribute these to a generative AI tool, but the court rejected this as a dishonest excuse, noting that the fabricated citations appeared in multiple filings, including an affidavit, and ordered the litigant to pay 30,000 SGD in personal costs.
- Why the court cared
- Fabricated: Case Law | Court found no less than nine fabricated legal authorities cited across David's filings, which he later sought to attribute to an internal draft generated by a generative‑AI tool. || Fabricated: Case Law | One fictitious authority (identified by defendant) appeared in David's first affidavit at p 33 para 175 and was cited to the court.
- Why it matters now
- This record documents a Pro Se Litigant filing issue in High Court, with the listed outcome: Misconduct taken into account for adverse costs order.
Why this matter is tracked
In a Singapore High Court proceeding, the court found that the claimant's representative, David, engaged in a pattern of dishonest conduct, including the abuse of court processes and the citation of at least nine fictitious legal authorities. David attempted to attribute the inclusion of these fabricated cases to an internal draft generated by a generative AI tool, claiming it was sent in error. The court rejected this explanation as contrived and dishonest, noting that at least one fictitious authority appeared in David's first affidavit. Consequently, the court set aside a freezing order and ordered David to pay personal costs of 30,000 SGD to the defendant, characterizing his actions as an attempt to pervert the course of justice.
This record documents a Pro Se Litigant filing issue in High Court, with the listed outcome: Misconduct taken into account for adverse costs order.
Record details
What the record establishes about AI use
The litigant claimed the draft was generated by a generative-AI tool.
The High Court of Singapore set aside a freezing order and dismissed related summonses, ordering the litigant to pay personal costs for abuse of process and the citation of fictitious authorities.
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 | Court found no less than nine fabricated legal authorities cited across David's filings, which he later sought to attribute to an internal draft generated by a generative‑AI tool.
- Fabricated: Case Law | One fictitious authority (identified by defendant) appeared in David's first affidavit at p 33 para 175 and was cited to the court.
Questions this record answers
- What happened in Forbes Monaco APAC v Kawajiri Seiji?
- The court found that the litigant cited at least nine fictitious legal authorities in his filings. The litigant attempted to attribute these to a generative AI tool, but the court rejected this as a dishonest excuse, noting that the fabricated citations appeared in multiple filings, including an affidavit, and ordered the litigant to pay 30,000 SGD in personal costs.
- Why does Forbes Monaco APAC v Kawajiri Seiji matter for legal AI risk?
- This record documents a Pro Se Litigant filing issue in High Court, with the listed outcome: Misconduct taken into account for adverse costs order.
- What does the public record establish about Forbes Monaco APAC v Kawajiri Seiji?
- Retained unchanged after audit: the existing summary is source-specific, non-placeholder, and supported by the recorded source link. Read the underlying source before relying on it for legal advice or a filing.
- Which source supports this Forbes Monaco APAC v Kawajiri Seiji 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.