ADM Review & Escalation Agent for Brisbane In-House Counsel: Triage Administrative Decisions Without Tripping ASCR Disclosure Duties

Your team in Brisbane just received another adverse determination from a regulator — the third this quarter. The business wants a view by Friday on whether to seek internal review, apply to the Administrative Review Tribunal, or accept and move on. You’d like to run the decision through an LLM to extract findings, statutory references and review pathways before you read it cover to cover. The Australian Solicitors’ Conduct Rules — adopted in Queensland in June 2012 — sit in the back of your mind: candour to the court, competence, supervision, and the still-developing expectation that AI-assisted legal work is disclosed where it matters. The ADM Review & Escalation Agent is built for this exact triage problem.

Why it matters now

In-house counsel in Brisbane operate under the Australian Solicitors’ Conduct Rules as adopted in Queensland. Rule 4 (duties to clients), Rule 19 (candour to the court), and the broader competence and supervision obligations across the ASCR apply to AI-assisted work just as they apply to work produced by a junior solicitor or external counsel. When AI is used to summarise, classify or triage administrative decisions — and those outputs flow into advice to the business, instructions to external firms, or material filed in review proceedings — undisclosed or unverified AI use is the failure mode that creates conduct exposure. Administrative decision-maker outputs (regulator determinations, internal review decisions, government agency decisions) are particularly sensitive because they sit on review clocks: missed deadlines for internal review or Administrative Review Tribunal applications are not recoverable. A workflow that pairs AI-assisted triage with explicit disclosure, human sign-off and an audit trail is the response that holds up to ASCR scrutiny.

The 5-minute view

In-house counsel are increasingly using LLMs to triage administrative decisions, but the ASCR candour, competence and supervision obligations don’t pause for “we used a tool”
The risk surface for in-house counsel is twofold: (1) the AI’s classification of the decision (review pathway, deadline, prospects) is wrong and acted on without verification; (2) the AI’s involvement is not disclosed where disclosure is owed
ADM decisions typically carry strict review windows — internal review, Administrative Review Tribunal application, or judicial review — and an incorrect triage that misses a window is not a recoverable error
The ADM Review & Escalation Agent ingests an administrative decision, extracts the decision-maker, statutory basis, findings, and identified review pathways, and produces a structured triage record
Every AI-generated finding is flagged for human verification before escalation; the agent does not autonomously file or instruct
The output includes an AI-use disclosure log suitable for inclusion in a file note, brief to external counsel, or internal governance record

What Exegesis is building

The ADM Review & Escalation Agent is a tier-3 service shape in the Exegesis Legal stack, specified in the Agentic Solutions catalogue (03_Agentic_Solutions/ADM_Review_and_Escalation_Agent.md). It is designed as a structured workflow agent: an administrative decision (PDF or text) is ingested, parsed against a schema (decision-maker identity, statutory power exercised, findings of fact, reasons, review rights stated, deadline computed from decision date), and routed to a human-reviewed escalation queue. Each field is tagged with its provenance — extracted verbatim, inferred by model, or human-entered — so that the in-house counsel reviewing the output can see exactly which parts of the triage are AI-generated and which are deterministic extraction. The agent does not file applications, draft submissions, or instruct external firms autonomously; it produces a reviewed triage record that a human signs off. AI-use disclosure language is generated automatically and included in the output package, aligning with ASCR candour and supervision expectations.

The deliverable

A structured ADM triage record per decision: decision-maker, statutory basis, key findings, review pathways and computed deadlines
Per-field provenance tags (verbatim extraction, model inference, human-entered) so the reviewer can see where AI was involved
A recommended escalation pathway (internal review, Administrative Review Tribunal application, judicial review, accept) with the reasoning chain visible
An AI-use disclosure log suitable for the matter file, brief to external counsel, or internal governance record
Human sign-off gate before any escalation action is taken — the agent does not file or instruct
Optional integration with RuleCheck for verifying any cited authorities in the decision or in counsel’s draft response

CTA

Join the waitlist — be the first to know when access opens for Brisbane in-house legal teams

The ADM Review & Escalation Agent is in build. We’re scoping pricing structure (per-decision, per-seat monthly, or in-house team licence) based on demand from Queensland in-house teams. Join the waitlist and what we hear from you will shape the access tier you sit in.

Sources

Law Council of Australia — Australian Solicitors’ Conduct Rules: https://lawcouncil.au/policy-agenda/regulation-of-the-profession-and-ethics/australian-solicitors-conduct-rules

Exegesis capability references:

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