Expert Evidence AI Attribution Agent for Brisbane Litigation Lawyers: Attach Verifiable AI-Use Metadata to Every Expert Report

Your forensic accountant has filed a 60-page report. Half the appendices were drafted with assistance from a large language model — quantum calculations, comparable transaction summaries, narrative reconstruction. You are now in a directions hearing at the Administrative Review Tribunal and opposing counsel asks the obvious question: which parts of the report were AI-assisted, what model was used, on what data, and how was the output verified? The expert can’t answer that on the stand without a written attribution trail. The Expert Evidence AI Attribution Agent produces that trail at the point the report is generated, not retrospectively under cross-examination.

The problem

Expert witnesses in Brisbane litigation are using generative AI to accelerate drafting, computation, and summarisation. The duty owed by the expert to the tribunal — independence, transparency about method, disclosure of assumptions — does not change because the underlying tool changed. What does change is the evidentiary surface: a report that does not disclose AI assistance, or that cannot show how AI-assisted content was checked, is exposed at three points. First, on admissibility, if the tribunal cannot satisfy itself that the opinion is genuinely the expert’s. Second, on weight, if the methodology section is silent on tools used. Third, on the practitioner — Australian Solicitors’ Conduct Rules require candour with the tribunal, which extends to evidence the practitioner adduces. The Administrative Review Tribunal’s practice directions for expert evidence place the obligation on parties to ensure expert reports comply with the directions on form, content, and disclosure of the basis for opinion.

Manual attribution — paragraph-by-paragraph annotation of which sentences came from which tool, which prompts, which source data — is not realistic at the pace of modern litigation.

What the Expert Evidence AI Attribution Agent does

The Expert Evidence AI Attribution Agent attaches verifiable attribution metadata to expert evidence outputs. For each section of an expert report, it records:

• Whether AI assistance was used in producing that section
• The model and version, where disclosed by the expert
• The prompt or instruction class used
• The source data referenced
• The verification step the expert applied to the output (recomputation, source check, independent review)
• A hash of the final text so any later alteration is detectable

The output is an attribution appendix the expert can sign and a machine-readable manifest the solicitor can produce on request. The agent does not generate the expert’s opinion. It documents the provenance of content the expert has already produced.

How it works

1. The expert (or the instructing solicitor) uploads the draft report and a short attribution log — what sections involved AI assistance, which tool, what data
2. The agent segments the report by heading and matches log entries to sections
3. Each section is hashed and tagged with its attribution status: AI-assisted (with metadata), expert-only, or mixed
4. The agent produces a signed attribution appendix in the form expected for expert evidence, plus a JSON manifest for the matter file
5. If the report is amended, re-running the agent shows which sections changed and re-issues hashes — the attribution trail tracks the document through revisions

Why this matters in Brisbane

Litigation lawyers running Federal Court, Queensland Supreme Court and Administrative Review Tribunal matters out of Brisbane are increasingly briefing experts — forensic accountants, medical specialists, valuers, engineers — who are themselves adopting AI tooling. The ART’s published practice directions and guidance for professionals set the expectations for expert evidence before the tribunal. Where AI assistance is part of how a report came together, a contemporaneous attribution record is far easier to defend than a reconstruction prepared after a challenge. For Brisbane firms, that defence may be needed in a directions hearing, in a Jones v Dunkel argument about omitted detail, or in a costs application after a report is rejected for non-compliance with the relevant practice direction.

The Australian Solicitors’ Conduct Rules require candour with the court and tribunal. An attribution manifest the solicitor can produce on request is the cleanest way to discharge that duty when AI is in the evidentiary chain.

Sources

• Administrative Review Tribunal — Practice Directions and Other Guidance: https://www.art.gov.au/help-and-resources/professionals-and-practitioners/practice-directions-and-other-guidance
• Federal Court of Australia — Use of Generative Artificial Intelligence Practice Note (GPN-AI): https://www.fedcourt.gov.au/law-and-practice/practice-documents/practice-notes/gpn-ai
• Law Council of Australia — Australian Solicitors’ Conduct Rules: https://lawcouncil.au/policy-agenda/regulation-of-the-profession-and-ethics/australian-solicitors-conduct-rules
• RuleCheck by Exegesis (open-source citation and filing verifier): https://github.com/andrefabre/rulecheck

Join the waitlist

Join the waitlist — be the first to know when the Expert Evidence AI Attribution Agent opens for Brisbane litigation teams

The Expert Evidence AI Attribution Agent is in active build. We are scoping pricing (per-report, per-matter, or firm licence) with a small group of Brisbane litigation teams. Join the waitlist and we’ll let you know when access opens — and what we hear from you will shape the form the attribution appendix takes.