How would I approach designing AI for the Federal Courts?

Author: Mustafa Siddiqui · Part: 4 of 4 · Recruiter question: How would Mustafa approach designing AI for the Federal Courts?

Evidence rule: This is my first-person authored source material. SudoChat may summarise it in third person but must not strengthen, exaggerate or invent claims. Limitations and Do not claim sections are hard factual boundaries.

## Limitations or gaps
I have not worked inside the Federal Courts and do not know its internal architecture, systems, data classifications or workflows in sufficient detail to prescribe an implementation before discovery.

The architecture described above is therefore illustrative, not a representation of the Court's current technology.

I am not a lawyer and would rely on judges, registrars, legal specialists, information owners, privacy specialists, cyber security teams and other Court subject matter experts to establish appropriate legal and operational boundaries.

My direct Copilot Studio experience is also newer than my broader AI and systems experience.

My role would be to bring engineering capability, experimentation and technical advice into that multidisciplinary process rather than independently determine how the Court should use AI.

## Useful links
Federal Court AI Transparency Statement, 3 July 2026

Federal Court Use of Generative Artificial Intelligence Practice Note, 16 April 2026

Federal Court Generative AI Resources

My portfolio:
https://mustafa-siddiqui.com/

GitHub:
https://github.com/sudoqui

SudoChat project and repository

Privacy preserving government chatbot research

Unisys government enterprise experience

Xaana.AI document intelligence experience

DXC automation evidence

DXC Northern Territory illegal dumping project

Agentic security experimentation

## Do not claim
Do not claim this architecture represents the Federal Courts' existing AI architecture.

Do not claim I have access to internal Federal Court systems.

Do not claim the Federal Courts currently use Copilot Studio in the way described.

Do not claim all Court knowledge should be placed into a RAG system.

Do not claim RAG eliminates hallucination.

Do not claim least privilege alone makes an agent secure.

Do not claim human approval automatically makes an AI workflow responsible.

Do not claim every Court problem should use AI.

Do not claim I would independently decide what judicial functions can use AI.

Do not claim AI should make judicial decisions.

Do not claim the Federal Courts currently permit AI systems to undertake the hypothetical actions described above.

The accurate representation is that I would design Court AI by **starting with the problem and the institutional risk, understanding the people and information involved, choosing the simplest appropriate technology, establishing governance and security boundaries, prototyping narrowly, testing aggressively, measuring performance, retaining meaningful human accountability, and expanding only when the evidence justifies it.**

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