Which AI tool was involved in OTG New York, Inc. v. Ottogi America, Inc.?

The order in OTG New York, Inc. v. Ottogi America, Inc. does not identify a specific generative tool by name. The court treated the citations as the product of an unverified AI-assisted drafting workflow.

September 18, 2025 · AI sanctions database

OTG New York, Inc. v. Ottogi America, Inc.

OTG New York, Inc. v. Ottogi America, Inc. is one matter in the Veritas record of US court proceedings involving AI-generated citations that could not be verified against the reporters named. The summary below is drawn from the underlying court document, linked at the foot of this page.

Court: D. New Jersey
Date: September 18, 2025
Party: Lawyer
AI tool: Not identified in the order
Outcome: Monetary penalty: $3,000; reply stricken; self-report
Penalty: $3,000 in monetary penalties.

FineProfessional sanction

What the record shows

The court found that counsel Sukjin Henry Cho cited nonexistent cases and fabricated legal propositions derived from generative AI in support of a motion, which Cho confirmed he used without verification. The court imposed a $3,000 fine payable to the court's registry within 14 days, struck the reply brief, and ordered Cho to self-report.

This entry reflects the court document as filed. The citations at issue could not be located in the reporters named at the time of the order. The reading here is descriptive of the public record and is not legal advice.

Source documents

Primary court document ↗

The test this filing did not run

Every matter in this record shares one mechanism: a citation that did not resolve to an opinion in the reporter named, in a brief that was filed before any verification step ran. Veritas runs that step. The Filing Risk Scanner extracts each citation, resolves it against reporter and public-record sources, and returns a verdict on each one — located, partial, or not located in reporter — before the brief is signed.

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Filed under · AI sanctions database · D. New Jersey

About this publication

Veritas is a pre-filing citation verification platform for law firms and in-house counsel. Every post on the audit log is written by the Veritas editorial team and cross-checked against the underlying sanctions order, standing order, or published opinion it references. Reporter citations are read in their named volumes. Quotations from court orders are checked against the docket.

The product was built by Andrew Zoll, founder of Veritas, who tracks generative AI sanctions in federal and state courts and turns each documented failure mode into verification logic the scanner runs. Veritas was built after the canonical Mata v. Avianca sanctions order made the verification gap a published failure mode of the bar.

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