Human Accountability Sign-off Orchestrator for Perth In-House Counsel: Lock Down Who Approved What Before AI Output Leaves Legal

You run legal for a Perth-based resources or financial services group. Your team uses AI tools — for drafting board papers, summarising contracts, triaging compliance queries. The CEO asked last week whether anyone is signing off on the AI-assisted advice the team sends to the business. You don’t have a clean answer. You know that the Australian Solicitors’ Conduct Rules apply to your admitted in-house solicitors in WA under the Legal Profession Uniform Law, and that the question of who attested to an AI output — and when — is one a regulator, an auditor, or a court could ask. The Human Accountability Sign-off Orchestrator is built so you can answer it.

The problem

Most in-house legal teams in Perth adopted AI tools faster than they adopted governance for them. A junior lawyer drafts with an LLM, a senior reviews, the GC signs the advice — but the chain is reconstructed from inbox archaeology, not recorded as a single attestation. When the question becomes “who took professional responsibility for this output, on what version of the source material, with what disclosure to the recipient?” the answer is usually a Teams thread.

That is a problem under the Australian Solicitors’ Conduct Rules. The ASCR are an exercise of self-regulation reinforced by State and Territory legislation, and they came into force in Western Australia from 1 July 2022 under the Legal Profession Uniform Law. The duties of honesty and candour (Rule 4), competence (Rule 4.1.3), and not engaging in conduct prejudicial to the administration of justice (Rule 5) all extend to work product produced or assisted by AI. The rules don’t recognise “the model wrote it” as a defence — a solicitor has to own the output. If your team can’t show who owned what, you can’t show compliance.

The specific exposure for in-house counsel: AI-use disclosure non-compliance. Where an internal client, a regulator, or a counterparty has a legitimate expectation of being told that AI was used to produce an output — or where your internal AI policy requires it — undocumented or inconsistent disclosure becomes a governance finding waiting to happen.

What the Human Accountability Sign-off Orchestrator does

The Human Accountability Sign-off Orchestrator enforces a defined human sign-off chain on AI-assisted outputs before they are filed, released to the business, or sent externally. It is built around a simple principle: no AI-assisted legal output leaves the team without a named, time-stamped attestation from each required reviewer, recorded against the specific version of the output and the specific disclosure language used.

The orchestrator does not generate legal content. It is a workflow and audit layer that sits over whatever drafting tool, model, or matter system your team already uses. It records who reviewed what, when, against which version, with what disclosure attached — and blocks release until the chain is complete.

How it works

1. Define the sign-off chain per output class. Board advice, regulator correspondence, internal compliance memos, contract redlines — each gets a configured chain (e.g. drafter → senior reviewer → GC) and a required disclosure template.
2. Register the AI-assisted output. When a team member finalises a draft they intend to release, they submit it to the orchestrator with the model used, the prompt or instruction context, and the source material referenced.
3. Route attestations in order. Each reviewer in the chain receives the output, the prior reviewer’s attestation, and the disclosure language. They attest, decline, or send back with comments. Attestations are time-stamped and bound to the specific version hash.
4. Enforce disclosure before release. The output cannot be marked “released” until every required attestation is recorded and the disclosure language is confirmed against the recipient (internal client, regulator, counterparty).
5. Produce an audit record. Every output ships with — or has stored against it — a structured sign-off ledger: reviewers, timestamps, version, disclosure language, recipient class. Exportable for internal audit, board reporting, or regulator request.

Why this matters in Perth

WA in-house legal teams operate under the Legal Profession Uniform Law, which has applied in Western Australia since 1 July 2022, and under the ASCR as adopted in that framework. The Law Council’s ongoing review of the ASCR — including the 2026 review responding to the Anti-Money Laundering and Counter-Terrorism Financing regime — signals that professional conduct expectations on solicitors are tightening, not loosening, particularly around documentation, disclosure, and the duty to give effect only to proper client instructions.

For Perth in-house counsel in mining, energy, financial services, and government-adjacent entities, the additional pressure is sector regulator scrutiny. When a regulator asks how AI-assisted output reached a decision-maker, “we have a policy” is weaker than “here is the sign-off ledger for that specific advice, with named reviewers and the disclosure language attached.” The orchestrator exists to produce the second answer.

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:

• Human Accountability Sign-off Orchestrator spec
• RuleCheck by Exegesis (open-source citation verifier)

Join the waitlist

Join the waitlist — be the first to know when the Human Accountability Sign-off Orchestrator opens for Perth in-house legal teams

We’re scoping pricing and deployment shapes (team licence, enterprise, integration with existing matter systems) based on early adopter conversations. Join the waitlist and tell us how your sign-off chain works today — what you tell us shapes the tier you sit in.