There’s a question I get asked a lot these days: are you worried about AI? And my honest answer is no, I’m genuinely, deeply excited, but I also understand why…
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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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Thomson Reuters Standard for High Stakes AI
As AI moves from experimentation into everyday professional use, a higher standard is required. Not all AI is used the same way, and it cannot be held to a single…
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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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Legal research is more than just answers
AI has transformed how quickly lawyers can work, but speed alone is no longer enough. Courts, clients, and regulators now expect legal research that is transparent, traceable, and defensible. Drawing on insights from Thomson Reuters’ Beyond Answers webinar, this article explores why unverified AI outputs create new risks, how expectations are shifting across in‑house teams and law firms, and why the ability to “show the work” is fast becoming the baseline for trusted legal research.
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AI is now a matter of legal competence, not convenience
As AI becomes part of everyday legal practice, competence is being redefined. Lawyers are expected not only to exercise legal judgment, but to understand whether the AI tools they use are accurate, accountable and appropriate for professional work.
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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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Powering AI deep research with trusted content
Just a year or so ago the question among many lawyers was “do you use AI?” Now, it’s “which AI do you use?” Legal professionals are looking for the same…
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