AI-Use Disclosure Clause Assembler for Perth In-House Counsel: Get the Disclosure Wording Right Before You Sign Off

External counsel sends through a draft for a Federal Court matter your company is a party to. Buried in the covering email: “we used an AI tool to assist with the first cut of the chronology — happy to discuss the disclosure approach.” You’re the in-house lawyer who has to sign off on the filing position. You know GPN-AI requires disclosure in certain circumstances. You don’t know — at 4:30pm on a Thursday — what exact form of words the Federal Court expects, what the Administrative Review Tribunal expects in a parallel matter, and whether your company’s internal AI-use policy aligns with either. The AI-Use Disclosure Clause Assembler is built for that decision point.

Why it matters now

The Federal Court of Australia’s General Practice Note on the Use of Generative Artificial Intelligence (GPN-AI) sets expectations for practitioners about when and how AI use must be disclosed in proceedings, and requires the practitioner to take responsibility for the content of any document filed. The Australian Solicitors’ Conduct Rules — adopted in Western Australia from 1 July 2022 as the Legal Profession Uniform Law Australian Solicitors’ Conduct Rules — frame the underlying professional duties: candour to the court (Rule 19), honest dealings (Rule 4), and competence (Rule 4.1.3). In-house counsel who instruct external firms, or who appear in their own right, sit at the disclosure decision point: external counsel may produce the words, but the company is the client whose interests turn on the filing being compliant. A vague disclosure clause, or none where one is required, exposes both the company and the practitioner whose name is on the filing. The risk isn’t abstract — it’s the form of words attached to a document that has already been drafted, and the question of whether those words satisfy the relevant Court or Tribunal.

The 5-minute view

GPN-AI requires practitioners to be transparent about AI use in proceedings and to take responsibility for the accuracy of AI-assisted content in documents filed
ASCR Rule 19 (candour to the court) and Rule 4 (honesty) apply to disclosure language — vague or misleading disclosures are themselves a conduct risk
The Administrative Review Tribunal has its own directions framework for AI use; a clause that satisfies the Federal Court may not satisfy ART, and vice versa
In-house counsel typically inherit the disclosure question late in the drafting cycle and have limited time to assess whether the wording proposed by external counsel is fit for the forum
The Disclosure Clause Assembler produces a forum-appropriate disclosure clause based on the filing type, the nature of AI use (drafting, summarisation, research, citation lookup), and the level of human review applied
Each assembled clause is mapped to the underlying GPN-AI / ART direction / ASCR rule it satisfies — so you can defend the wording if questioned
Runs locally — no draft filing content or AI-use facts leave your machine

What Exegesis is building

The AI-Use Disclosure Clause Assembler is part of RuleCheck by Exegesis — a local-first, deterministic, no-external-LLM pre-lodgement filing checker for Australian legal teams. RuleCheck is live in beta at rulecheck.onrender.com. The Disclosure Clause Assembler takes structured inputs — forum (Federal Court, ART, State Supreme Court), filing type, the AI tooling used, the tasks AI was used for, and the human review process applied — and assembles a disclosure clause keyed to the relevant practice note or direction. The output is deterministic: the same inputs always produce the same clause, with the same cited rule basis. There is no model inference generating novel disclosure language; the assembler composes from a maintained library of clause components mapped to GPN-AI, ART directions, and the ASCR. That determinism is the point — disclosure wording is exactly the kind of text that should not be paraphrased by an LLM.

The deliverable

A forum-appropriate AI-use disclosure clause, ready to paste into the relevant section of the filing or covering submission
A rule-basis map: each phrase in the clause linked to the GPN-AI paragraph, ART direction, or ASCR rule it addresses
A short internal memo (Markdown) summarising the inputs, the assembled clause, and the rule basis — suitable for the matter file and for sign-off by the senior in-house lawyer
Optional audit log entry recording the assembly inputs and outputs for governance purposes
Delivered via the RuleCheck web interface; assembly is near-instant

Why this matters in Perth

Western Australia adopted the ASCR under the Legal Profession Uniform Law from 1 July 2022, bringing WA solicitors into the same conduct framework as their NSW and Victorian counterparts. For Perth-based in-house counsel, that means the disclosure question is governed by the same ASCR rules that apply nationally, layered with the federal forum’s own practice note (GPN-AI) where the matter is in the Federal Court or ART. The Disclosure Clause Assembler is built for that exact overlap.

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

RuleCheck’s Disclosure Clause Assembler is in active build for beta. We’re scoping pricing (per-clause, per-user monthly, or company-licence) based on demand. Join the waitlist and we’ll let you know when access opens — your input on how in-house teams want this priced will shape the tier you sit in.

Sources

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
Federal Court of Australia — Rules, Acts & Regulations: https://www.fedcourt.gov.au/law-and-practice/rules-acts-and-regulations
AustLII (Australasian Legal Information Institute): https://www.austlii.edu.au/

Exegesis capability references: