Frontier 2026 Expert Evidence Provenance Orchestrator for Brisbane Litigation Lawyers: Keep Every Expert Opinion Traceable to a Human Author

Your expert witness handed back a 40-page report on a Friday. The methodology section reads cleanly, the conclusions are defensible, and the references look thorough. On Monday, opposing counsel asks — in conference — which paragraphs were drafted, edited, or summarised with the assistance of a generative model, and which datasets the expert actually inspected versus which were described to a model that produced the summary. The Administrative Review Tribunal’s Expert Evidence Practice Direction expects you to know the answer. By 2026, the same expectation is bleeding into Federal and Supreme Court matters running out of Brisbane. The Frontier 2026 Expert Evidence Provenance Orchestrator is built so you can answer the question without re-running the brief.

Why it matters now

The Administrative Review Tribunal (ART) issues practice directions and guidance for professionals and practitioners appearing before it, including directions covering expert evidence and the conduct of expert witnesses. As AI-assisted drafting, modelling and analysis become routine inside the practices of medical experts, forensic accountants, valuers and engineers, the line between “the expert’s own opinion” and “an opinion shaped by a tool the expert did not author” becomes the contested issue. The Australian Solicitors’ Conduct Rules require candour to the tribunal and the court, which extends to representations about the authorship and basis of evidence tendered. The Federal Court’s General Practice Note on the use of generative AI (GPN-AI) signals the broader direction of travel: practitioners are responsible for the accuracy and provenance of material filed, irrespective of which tool produced it. For a Brisbane litigation lawyer running a matter that may move between Queensland Supreme Court, the Federal Court registry, and ART review, the safer posture is to assume every brief will eventually need a defensible provenance record for every expert opinion in it.

The 5-minute view

• Expert evidence attribution failure is the inability to demonstrate, at the paragraph level, which parts of an expert report reflect the expert’s own analysis and which were generated, summarised or rewritten by an AI tool the expert used
• ART practice directions and federal court guidance increasingly expect candour about AI involvement in any material filed
• ASCR Rule 19 (candour) and the duty to avoid misleading the tribunal extend to representations about expert authorship
• Manual provenance reconstruction after the fact — emails, drafts, screenshots — does not scale to a multi-expert brief
• The Frontier 2026 Expert Evidence Provenance Orchestrator captures provenance at the point of drafting, not at the point of challenge
• Each report is returned with a paragraph-level provenance ledger: human-authored, AI-assisted, AI-summarised, or model-generated
• The orchestrator runs inside your matter environment — expert content is not transmitted to external models

What Exegesis is building

The Frontier 2026 Expert Evidence Provenance Orchestrator is a tier-3 service shape inside the Exegesis Legal pillar — next-generation expert evidence provenance for the 2026+ regulatory landscape. It coordinates a small set of narrow agents: an intake agent that registers each expert and their tooling declarations, a draft-capture agent that records the state of a report at each revision, a provenance classifier that tags paragraph-level edits by source (human, AI-assisted, AI-generated, third-party data), and a report-builder that produces an exhibit-ready provenance ledger keyed to the final filed report. The architecture follows the same posture as the rest of the Exegesis Legal stack — local-first where possible, deterministic where the law requires verifiability, and no transmission of expert content to external LLMs. Citation-level checks are handed off to RuleCheck, the open-source pre-lodgement verifier at github.com/andrefabre/rulecheck.

The deliverable

• A paragraph-level provenance ledger for each expert report in the brief
• Per-paragraph classification: human-authored, AI-assisted (edit), AI-summarised (from human source material), or model-generated
• A tooling declaration for each expert, captured at engagement and refreshed at each draft
• An exhibit-ready provenance bundle suitable for filing alongside the report or producing on request
• Optional audit log entries for governance, professional indemnity and tribunal-disclosure purposes
• Delivered into the matter workspace at each revision, with a final lock at the point of filing

How it works

1. Engage the expert through the orchestrator. The expert completes a tooling declaration — which models, which datasets, which assistive software — at the point of brief acceptance.
2. Capture every draft state. Each version of the report is registered as it is produced. No retrospective reconstruction.
3. Classify provenance at the paragraph level. The provenance classifier tags each paragraph as human-authored, AI-assisted, AI-summarised, or model-generated, based on the captured edit trail and the expert’s declarations.
4. Hand citations to RuleCheck. Every authority and reference in the report is verified deterministically against the Australian authority registry, separate from the provenance pipeline.
5. Produce the provenance bundle at filing. A final, locked ledger is generated alongside the report — ready to file, ready to disclose, ready to exhibit.

Why this matters in Brisbane

Brisbane litigation practices increasingly run matters that touch all three of the Queensland Supreme Court, the Federal Court registry, and ART review streams — often inside the same brief. The ART’s practice directions on expert evidence and the Federal Court’s GPN-AI between them set the expectation that practitioners can answer provenance questions about the material they file. A Brisbane litigation lawyer who can produce a paragraph-level provenance ledger when an expert is challenged in conference, in cross-examination, or by a tribunal direction, is in a measurably stronger position than one relying on email reconstruction. The orchestrator is built so that the answer exists before the question is asked.

Sources

• Administrative Review Tribunal — Practice directions and other guidance for professionals and practitioners: 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
• AustLII (Australasian Legal Information Institute): https://www.austlii.edu.au/
• RuleCheck (open-source citation verifier by Exegesis): https://github.com/andrefabre/rulecheck

Join the waitlist

Join the waitlist — be the first to know when access opens for Brisbane litigation teams

The Frontier 2026 Expert Evidence Provenance Orchestrator is a tier-3 build inside the Exegesis Legal pillar. We’re scoping access tiers and pricing — per-matter, per-expert, or firm-licence — based on what we hear from litigation teams running multi-expert briefs across ART, Federal Court and Queensland Supreme Court matters. Join the waitlist and what you tell us will shape the tier you sit in.