Artificial intelligence is transforming the way legal work is performed, challenging long-standing models for training junior lawyers. As routine tasks become increasingly automated, firms must rethink how early-career practitioners develop core legal skills, gain practical experience and receive mentorship. This article explores the implications of AI on legal education and workforce development, and what firms can do to build the next generation of legal talent.
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Designing lawyers: Attorney growth in the age of AI-fueled practice
Artificial intelligence is transforming more than legal workflows. It is reshaping how lawyers learn, develop expertise, and progress throughout their careers. This article examines the changing capabilities legal professionals need to thrive in an AI-enabled environment and provides insights for law firm leaders looking to build future-ready talent strategies that support growth, innovation, and long-term success.
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Legal work reimagined with Practical Law Australia Deep Research
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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Start small, move faster: A practical approach to legal tech transformation
Many in-house legal teams don’t lack capability – they lack structure. Work arrives through multiple channels, priorities are unclear, and the business wants more visibility than ever. In this piece, Sheridan Pinheiro explores why starting with a single, well-defined use case is often the most effective path to operational control.
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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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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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Free AI vs Professional AI: What Australian lawyers need to know about data security
Australian courts are sending a clear message: lawyers who use free AI tools without proper safeguards face serious professional consequences. Recent high-profile cases have exposed a troubling pattern. Law firms…
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