From the Public Safety edition of October 27, 2026
New York’s court system issues GenAI guidance for attorneys: no duty to disclose AI use, but full responsibility to verify every citation and statement
New York State Unified Court System (Advisory Committee on Artificial Intelligence) · Courts / AI in court filings · New York, United States
- Publisher
- amNewYork
- Original publication
- amNewYork, Oct. 27, 2026
- Source retrieved
- 2026-10-28
- Event date
- 2026-10-26
What happened
amNewYork reports that the New York State court system released guidance on Monday (Oct. 26, 2026), developed by its AI advisory committee, telling attorneys they may use generative AI in court filings without disclosing it to the judge, but must personally confirm that nothing AI produced is fabricated or inaccurate; signing a filing certifies it under the same sanction risk as before. The guidance tells lawyers to independently search for, read and analyze AI-produced citations, explains that models generate plausible text rather than retrieving verified information, and warns of training-data cutoffs and bias. It is the default where a court or judge has no AI policy; a judge’s own standing rule takes precedence. Chief Administrative Judge Joseph Zayas said the system chose not to ban AI or mandate disclosure. New York Law School Associate Dean Heidi Brown called the lack of disclosure concerning and said the focus on hallucinations misses “misgroundings”, where real authorities are mischaracterised. The approach contrasts with Pennsylvania’s proposed statewide filer-certification notice, already archived.
Why it matters
A large state court system choosing verification duties over disclosure mandates gives court administrators and bar regulators a clear alternative model to compare with certification-based rules.
Evidence and measured results
Opened the amNewYork article and read it in full; Law.com’s Oct. 27 report (partially readable) corroborates a seven-page reference document from court administrators. The primary PDF on webfiles.nycourts.gov returned HTTP 403 to automated retrieval and was not read.
Limitations and uncertainty
Secondary reporting; the primary guidance PDF could not be retrieved, so its exact wording, length and any confidentiality or self-represented-litigant provisions are unverified. Applies to attorneys, not to judges or court staff.
Put this evidence to work
Lighthouse Advisory interpretation, grounded in this source. Enriched 2026-10-28; this does not change the original publication date. Each role follows the same checklist so takeaways compare across sources.
Sales
Role takeaway
- Customer problem
- Public law offices using AI for drafting need a defensible verification process because New York places full responsibility on the signer without a disclosure step.
- Stakeholders
- Public defender and district attorney office leadership
- County attorneys
- Supervising attorneys and practice-standards leads
- Legal research tool administrators
- Discovery questions
- Which drafting and research tools in your office generate text, and which retrieve authority?
- How is each citation verified today, and by whom?
- Which judges you appear before have their own AI standing orders?
- How would you catch a real case described inaccurately?
- Value hypothesis
- Interpretation: a documented verification workflow could reduce sanctions exposure and supervision burden; the size of any benefit is unmeasured.
- Potential engagement
- A workflow review and cite-check protocol for one office’s AI-assisted filings.
- Unsupported claims
- That any tool removes sanctions risk
- That the guidance reduces hallucination rates
- That disclosure is never required (individual judges may require it)
Pre-sales engineering
Role takeaway
- Fit
- Applies to any New York filer using generative AI, including public law offices.
- Architecture and integration
- Drafting tools should surface sources and links to authoritative databases so attorneys can verify each proposition.
- Prerequisites
- Inventory of AI tools in use
- Access to authoritative citators
- Tracking of judges’ standing orders
- Constraints
- Statewide default only where no court or judge policy exists
- Primary text not retrieved; exact provisions unverified
- Attorney filings only
- Security
- Check how drafting tools handle confidential client information; the reported guidance did not describe confidentiality terms.
- Proof of value
- Sample AI-assisted drafts cite-checked manually for existence and accuracy
- Measure misgrounding rate, not only fabricated citations
- Time the verification step
Delivery
Role takeaway
- Work
- Embed a documented verification step in every AI-assisted filing and train staff on misgroundings.
- Dependencies
- Primary guidance text
- Judges’ standing orders
- Citator access
- Ownership
- Supervising attorney or practice-standards lead in each office
- Skills and adoption
- Training for newer attorneys to recognise AI-generated content inside research platforms.
- Governance checkpoints
- Adopt office AI drafting policy
- Quarterly sample audit of filings
- Review after any court AI order or sanction
- Acceptance criteria
- Documented cite-check for 100% of AI-assisted filings (proposed)
- Zero filings with unverified authorities in quarterly samples (proposed)
- Risks
- Verification becoming perfunctory under volume
- Missing a judge-specific disclosure order
- Misgroundings passing citation-existence checks
Implementation considerations
Lighthouse Advisory interpretation across the operating dimensions a public-sector buyer must settle before this evidence becomes a design. Each note answers the question under its heading for this specific source.
Architecture and integration
What must connect, and where does the AI sit in the workflow?
No system requirement; verification depends on lawyers’ own citation checking against authoritative databases rather than on court-side detection tooling.
Governance
Who approves, reviews and stays accountable for outcomes?
Sets a statewide default subordinate to individual judges’ standing orders, creating a patchwork that filers must track; builds on the AI rule adopted earlier in 2026.
Security and privacy
What data, permissions and controls need testing?
Reported text focuses on accuracy and bias; the article does not describe confidentiality provisions, which should be checked in the primary document.
Accessibility and workforce
Who is affected, and what skills or accommodations follow?
Brown warned that newer lawyers may not recognise AI-generated content embedded in research platforms, implying a training need.
Procurement
What should contracts, pricing and exit terms secure?
Firms and public law offices choosing AI research tools must budget for verification time; the guidance does not endorse or restrict tools.
Operating model
Which teams own the service once it runs?
Keeps responsibility on the signer; courts rely on sanctions after the fact rather than disclosure at filing.
Publication history
- 2026-10-27Public Safety · Issue 496 resources
Stable resource ID: new-york-courts-genai-guidance-attorneys-verify-no-disclosure-20261026