Butler and National Disability Insurance Agency
Administrative Review Tribunal · Aug 28, 2025
What happened in this matter?
The Tribunal criticized the reliability of expert reports prepared with AI assistance, finding they lacked independent verification and contained unverified citations and inserted text. As a result, the Tribunal gave these reports reduced evidentiary weight in its assessment of the applicant's support needs.
- Why the court cared
- The Tribunal reasoned that practitioners failed their duty to provide independent expert assessments by relying on AI to draft reports without vetting the content. The Tribunal specifically noted that authors could not explain the origin of inserted phrases or verify the accuracy of citations, rendering the reports unreliable for determining reasonable and necessary supports.
- Why it matters now
- Expert reports drafted with AI got reduced evidentiary weight; require experts to certify no unverified AI assistance.
Why this matter is tracked
Fabricated: Exhibits & Submissions | Expert reports were prepared with AI assistance that introduced unverified or incorrect citations and inserted wording (e.g., the phrase 'minimum necessary'); Mr Reilly corrected some AI-generated citations and authors could not confirm citation accuracy. Outcome: Tribunal criticised the reliability of AI-assisted expert reports and gave them reduced weight. The Agency raised concerns that several expert reports were prepared with assistance of an artificial intelligence program and contained unverified citations and inserted text. The Tribunal noted admissions by at least one practitioner (Ms McPhee) that AI assisted drafting and found instances where citations had been corrected by another witness and where the author could not confirm whether AI added certain phrases. The Tribunal criticised the lack of independent verification and gave the reports reduced weight but did not impose sanctions.
Expert reports drafted with AI got reduced evidentiary weight; require experts to certify no unverified AI assistance.
Record details
What the record establishes about AI use
Practitioners admitted using an artificial intelligence program.
Administrative review of a decision by the National Disability Insurance Agency regarding the applicant's Statement of Planned Supports.
Correction behavior is not separately verified in the current record.
Tracked discrepancy record
1 citation, quotation, or authority issues are recorded in the source dataset.
- Fabricated: Exhibits & Submissions | Expert reports were prepared with AI assistance that introduced unverified or incorrect citations and inserted wording (e.g., the phrase 'minimum necessary'); Mr Reilly corrected some AI-generated citations and authors could not confirm citation accuracy.
Questions this record answers
- What happened in Butler and National Disability Insurance Agency?
- The Tribunal criticized the reliability of expert reports prepared with AI assistance, finding they lacked independent verification and contained unverified citations and inserted text. As a result, the Tribunal gave these reports reduced evidentiary weight in its assessment of the applicant's support needs.
- Why does Butler and National Disability Insurance Agency matter for legal AI risk?
- Expert reports drafted with AI got reduced evidentiary weight; require experts to certify no unverified AI assistance.
- What does the public record establish about Butler and National Disability Insurance Agency?
- 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 Butler and National Disability Insurance Agency 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.