The Court’s Best AI Policy Signal Yet
Australia’s Federal Court just published practical AI guidance CEOs should apply far beyond legal teams.
The Federal Court’s new AI note is really a governance memo for any executive team, not just lawyers.
Its core lesson is simple: AI can assist work, but it does not dilute human accountability.
CEOs should use it as a template for accuracy checks, disclosure rules, and data-boundary discipline.
The Federal Court of Australia’s new practice note on generative AI is nominally about litigation. In practice, it reads like one of the clearest executive briefs yet on how institutions should use GenAI responsibly (Federal Court of Australia, 2026).
That is why CEOs should pay attention.
Not because you are about to draft affidavits.
Because you are already running an organisation where people are using AI to summarise, draft, analyse, recommend, and persuade.
And if this framing is useful, forward it to the person on your team who owns AI rollout, risk, legal, or operations. They will likely recognise the pattern immediately.
I am not a lawyer, and this is not legal advice. But this note is practical, readable, and more useful to executives than many enterprise AI policies I have seen.
What the Court is actually saying
The Court is not anti-AI. It explicitly says generative AI can increase efficiency, reduce costs, improve access to justice, and enhance the administration of justice. That opening matters. This is not a prohibition document. It is a governance document.
Then it draws a hard line.
Anyone using GenAI in connection with proceedings is expected to understand its capabilities, limitations, and risks. AI use must not adversely affect the administration of justice. And if the Court requires it, a person must disclose if, and how, generative AI was used in a proceeding.
That is a very clean management model:
Use the tool.
Understand the tool.
Do not outsource accountability to the tool.
Disclose material use when it matters.
That, in one line, is where a lot of enterprise AI policy is heading.
The practical parts CEOs should steal
The most useful part of the note is not the principle. It is the specificity.
The Court warns that GenAI can generate fictitious cases, false citations, misleading legal analysis, factual errors, and confident but wrong verification. It then says the person responsible for the document must confirm the underlying facts, authorities, evidence, chronology, and document lists are actually right.
That logic applies far beyond court filings.
Swap legal authorities for market data.
Swap submissions for board papers.
Swap chronologies for incident reports.
Swap affidavits for customer communications.
Swap expert reports for strategy memos.
The operating principle still holds: if AI helped create a document that others will rely on, the named human still owns the truth claim.
That is the sentence I would want every leadership team discussing this quarter. If you agree, share this with the executive who signs off on high-stakes documents in your business.
Where the note is especially strong
The note is sharpest in three places.
1. Verification is not optional
The Court does not treat hallucination as a novelty. It treats it as an operational risk. False material presented confidently is still false material. And responsibility remains with the person who filed it.
For CEOs, this matters because the biggest near-term GenAI failures in companies are rarely spectacular. They are mundane.
A number in a board deck.
A misstated source in a strategy paper.
A fabricated reference in a policy draft.
A persuasive summary that quietly dropped the most important caveat.
This is exactly why AI governance should not be framed only as “tool access” or “approved vendors.” It should also be framed as: what classes of output require human validation before circulation?
2. Disclosure matters when AI shaped the substance
The practice note requires disclosure where GenAI was used to summarise or analyse information relied on by a witness, or to create synthetic media presented to the Court, or in any other way that might affect admissibility or how the Court uses the evidence. It also says that disclosure should appear at the start of the document and explain, concisely, where and how AI was used.
That is more broadly useful than it first appears.
Most companies do not need to disclose every use of AI. They do need a rule for when AI use becomes material.
My view: if AI materially shaped analysis, recommendations, evidence, or representations that others are expected to trust, you need a disclosure standard. Maybe internal. Maybe external. But definitely deliberate.
That is not bureaucracy. It is institutional honesty.
3. Confidentiality is not a footnote
The Court also goes straight at the data issue. It warns that information entered into generally accessible GenAI tools may become available to others, and users may not know where that information is stored, how it is used, or who can access it. It specifically flags confidential, privileged, suppressed, and private information as high risk.
This is where a lot of executive teams are still underweight.
Public GenAI is not just a productivity layer. It is a data-boundary decision.
That means your AI policy should not merely ask, “Is this useful?” It should ask, “Is this information appropriate to enter into this environment at all?”
Those are different questions, and the second one is often the more important one.
This is bigger than Australia
The Federal Court’s note is part of a broader institutional pattern.
In England and Wales, the judiciary’s updated AI guidance says judicial office holders remain personally responsible for everything produced in their name. It also stresses that AI should be used consistently with maintaining the integrity of the administration of justice and the rule of law (Courts and Tribunals Judiciary, 2025).
At the European level, the Council of Europe’s CEPEJ published guidelines on the use of generative AI in the administration of justice, emphasising practical safeguards including human oversight, legal certainty, transparency, data protection, and training (European Commission for the Efficiency of Justice [CEPEJ], 2025).
Also in Europe, the Council of Bars and Law Societies of Europe issued a guide for lawyers on generative AI, focused on opportunity, risk, confidentiality, and professional responsibility (Council of Bars and Law Societies of Europe, 2025).
In the United States, the American Bar Association’s Formal Opinion 512 makes the same core move: generative AI does not replace duties of competence, confidentiality, client communication, and reasonableness in fees (American Bar Association, 2024).
And in Australia itself, the Victorian Law Reform Commission’s 2025 report on AI in courts and tribunals recommended principles, governance settings, guidance, and training, while rejecting AI as a substitute for judicial decision-making (Victorian Law Reform Commission, 2025).
Different jurisdictions. Same direction of travel.
Institutions are not saying, “Do not use AI.”
They are saying, “Use it, but keep responsibility attached.”
That is the signal.
The CEO takeaway
The best line I can give you from all of this is this:
Do not govern AI as software. Govern it as decision infrastructure.
Once you see it that way, the right questions become clearer.
Where can AI help draft?
Where can it summarise?
Where can it analyse?
Where must humans verify?
Where must use be disclosed?
Where is data too sensitive to enter?
Who is the named owner of the output?
That is the real work.
Not whether your teams have access to the latest model.
Whether your institution knows what it is willing to trust, and under what conditions.
If that framing feels useful, send this to a peer CEO or your GC, CIO, or COO. These conversations are becoming board-level questions faster than many teams realise.
Three actions to take this week
First, define which AI-assisted outputs require human verification before they are circulated upward or outward. This should include anything going to the board, regulators, customers, investors, or courts.
Second, create a material-use disclosure rule. Not for every prompt. For outputs where AI materially shaped analysis, representations, or evidence-like content.
Third, redraw your data boundaries. Treat open GenAI tools as environments with explicit information-handling rules, not as harmless drafting assistants.
None of that is anti-innovation.
It is what serious adoption looks like.
Final thought
The most interesting thing about the Federal Court’s new note is not that a court has commented on AI.
It is that one of Australia’s most important institutions has now written down a practical model for using it.
Helpful, but not authoritative.
Fast, but not self-verifying.
Useful, but not consequence-bearing.
That part remains human.
That is true in litigation.
It is also true in management.
And the CEOs who internalise that early will build better AI capability than the ones still treating this as a tooling decision.
References
American Bar Association. (2024, July 29). ABA issues first ethics guidance on a lawyer’s use of AI tools. https://www.americanbar.org/news/abanews/aba-news-archives/2024/07/aba-issues-first-ethics-guidance-ai-tools/
Council of Bars and Law Societies of Europe. (2025, October 2). CCBE guide on the use of generative AI by lawyers. https://www.ccbe.eu/fileadmin/speciality_distribution/public/documents/IT_LAW/ITL_Guides_recommendations/EN_ITL_20251002_CCBE-guide-on-the-use-of-the-use-of-generative-AI-for-lawyers.pdf
Courts and Tribunals Judiciary. (2025, October 31). Artificial intelligence (AI) – judicial guidance (October 2025). https://www.judiciary.uk/guidance-and-resources/artificial-intelligence-ai-judicial-guidance-october-2025/
European Commission for the Efficiency of Justice. (2025, December 19). Guidelines on the use of generative artificial intelligence in the administration of justice and by judicial professionals. Council of Europe. https://rm.coe.int/cepej-2025-18final-en-draft-guidelines-on-the-use-of-generative-ai-for/48802a4ad1
Federal Court of Australia. (2026, April 16). Use of generative artificial intelligence practice note (GPN-AI). https://www.fedcourt.gov.au/law-and-practice/practice-documents/practice-notes/gpn-ai
Victorian Law Reform Commission. (2025). Artificial intelligence in Victoria’s courts and tribunals: Report. https://www.lawreform.vic.gov.au/publication/artificial-intelligence-in-victorias-courts-and-tribunals-report/