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Incident Tracker / Australia

MFRD and National Disability Insurance Agency (NDIS), [2026] ARTA 1833

·Administrative Review Tribunal of Australia·AUWarning

In Australia's Administrative Review Tribunal, a self-represented NDIS applicant filed submissions prepared with generative AI that contained fictitious tribunal decisions and inaccurate statutory references. General Member Strange warned that false AI-generated material can hamper tribunal decision-making, then decided the merits and remitted the support decision for reconsideration.

Court
Administrative Review Tribunal of Australia
Date
2026-08-26
Who used the AI
Litigant in person
AI tool
Not identified in the record
Conduct
A self-represented NDIS applicant's submissions contained multiple fictitious tribunal authorities and inaccurate statutory references prepared with generative artificial intelligence. The Tribunal accepted the AI explanation, warned about the risks under its 2026 practice direction, but decided the merits and remitted the support decision for reconsideration.
Outcome
Warning
Penalty
No monetary penalty recorded
Regulatory outcome
No separate regulatory disposition recorded
Status
Verified against listed sources
Last checked
2026-09-04

What was fabricated or misused

  • A number of supposed previous AAT decisions cited in the applicant's written submissions — no reported case had the claimed name and citation, or the citation matched a different non-NDIS case; the Tribunal did not list them
  • National Disability Insurance Agency v WRMF [2020] FCAFC 79 — cited for a proposition the Tribunal said did not necessarily align with the case
  • Section 24 of the NDIS Act — cited as satisfied evidence for an existing participant although it concerns access criteria

What the court said

“The written submissions filed on behalf of the Applicant included reference to a number of supposed previous decisions of the AAT, which were said to be authority for various contentions.”
Administrative Review Tribunal of Australia, [121]
“Some specific statutory references were also inaccurate. For example, a reference was made to evidence satisfying section 24 of the NDIS Act, which addresses the disability requirements for meeting the access criteria of the NDIS and is no application here given MFRD’s status as an existing participant in the NDIS, who has already met the access criteria.”
Administrative Review Tribunal of Australia, [121]
“The practice direction continues on to note that the presentation of false and inaccurate information to the Tribunal is unacceptable and may hamper the Tribunal achieving its objectives and making the correct or preferable decision in a proceeding.”
Administrative Review Tribunal of Australia, [123]
“Secondly, the problem with the fictitious authorities and references infects the Applicant’s written submission to a significant extent, requiring me to effectively disregard some sections in their entirety, and to approach the other parts with considerable circumspection.”
Administrative Review Tribunal of Australia, [127]

Timeline

  1. Agency approved MFRD's current plan without core support funding.
  2. Internal review confirmed refusal to include support worker assistance.
  3. Mr A lodged an AAT review application for MFRD.
  4. Review hearing held by Microsoft Teams with Mr A appearing for MFRD.
  5. Tribunal set aside and remitted the support decision with directions.

Why this case matters

MFRD is different from sanction records such as Mata v Avianca because the AI problem came from a parent appearing for a child in an administrative benefits review. The Tribunal accepted that the tool misled a non-lawyer, but still recorded the practical cost: sections of the submission had to be disregarded or treated with caution. The merits outcome also matters. The applicant obtained some support-worker funding while the reimbursement claim failed. That mix shows why Australian tribunal practice directions focus on disclosure and verification rather than treating every AI error as a disciplinary event.

Practice note

For ART and NDIS matters, a representative using generative AI should check each case name, citation, jurisdiction and statutory section before filing. The check must include whether the case is about the NDIS and whether the cited section applies to the participant’s status. Where the ART practice direction applies, the party should also follow its filing responsibilities for AI-assisted documents.

Primary sources for this incident

Related regulation records for this incident

No related regulation record has been linked to this incident yet.

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Cite this record

SafeLegalAI Global Legal AI Incident Tracker, “MFRD and National Disability Insurance Agency (NDIS), [2026] ARTA 1833”, safelegalai.com/tracker/mfrd-v-national-disability-insurance-agency (accessed 2026-10-07). Data: CC BY 4.0.

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