What if legal research could be completed in minutes without sacrificing trust or defensibility? Deep Research on Practical Law Australia combines Fiduciary-Grade AI™ with lawyer-authored legal content to deliver clear, cited research backed by authoritative sources. Learn how transparent reasoning, source traceability and up-to-date Australian legal guidance help lawyers, in-house counsel and legal teams work more efficiently while maintaining professional judgment and confidence in every outcome.
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The privilege risk lawyers can’t control
Legal advice doesn’t end when it leaves your desk, but your visibility often does. As clients increasingly turn to public AI tools to summarise and interpret complex advice, lawyers face a growing, largely uncontrollable risk: the potential loss of confidentiality and privilege. This article explores how that risk is emerging in practice, why clients are reaching for AI, and what legal professionals can do now to reduce exposure, starting with making advice clearer, more usable, and easier to trust.
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HighQ is IRAP assessed against PROTECTED classification level controls
In Australian Government procurement, security determines who gets considered. HighQ’s IRAP PROTECTED assessment gives law firms independently verified proof against the ISM, shifting conversations from assertion to evidence, removing a key barrier in tenders, and positioning firms to win government work with confidence.
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Good AI legal research should show its work
AI can speed up legal research, but hidden reasoning creates hidden risk. This infographic shares a simple 60‑second check to help lawyers trace sources, verify citations, and confidently stand behind AI‑assisted research.
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Australia’s 2026-27 Federal Budget: Key legal implications
The 2026–27 Federal Budget marks a structural shift in Australia’s tax settings. From capital gains tax reform to new minimum taxes on trusts and changes to property losses, legal teams face a more complex advisory and risk environment. Here’s what matters, and where early planning counts.
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Why “technically correct” is no longer enough
AI can produce answers that look right but don’t stand up to scrutiny. In this article, Sarah Jacobson (MinterEllison) explains why defensible legal research now depends on transparency, verification, and tools you can trust – because accountability still sits with the lawyer.
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How trustworthy content transforms legal deep research
Legal research has never been under more pressure. Expectations for accuracy, currency and depth keep rising — while time and resources don’t. It’s no surprise AI is now part of…
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What “Trusted AI” really means for legal teams today
Artificial intelligence is now embedded in legal research, but trust doesn’t come from automation alone. Drawing on insights from Gilbert + Tobin, this article explores what “trusted AI” really means for legal teams today, and why transparency, governance and human judgment remain central to confident, responsible adoption.
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What government legal teams need to know about data security
Choosing AI is a risk decision. Learn how Australian government legal teams can protect data, meet obligations and adopt AI responsibly.
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Is your client’s legal advice training AI? The privilege risk no lawyer can ignore
The rise of public AI tools has created a legal minefield that no lawyer – regardless of practice area or seniority – can afford to overlook. When a client uploads…
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