Articles
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How to build an AI governance framework: five layers, and the standards underneath
How an organisation governs AI across every team: five layers, the building blocks the main frameworks share, and where to start.
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Why AI stalls once a whole organisation starts using it, and what legal teams can do
Costs that outrun the benefit, new risks, unmanaged use and stalled pilots: what the research shows about each, and what a legal team can do.
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Legal AI workbenches pay off when the work is redesigned first
The three levels of AI maturity in legal are a useful map. Why a workbench pays off when it runs a redesigned workflow, and what happens when it runs the old one.
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Women in law and AI: the gap, and what it means for women lawyers' careers
Women are now the majority of solicitors in several countries, yet fewer women than men use AI at work. What the research says about why, and what women lawyers and their teams can do.
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Choosing the first piece of work to redesign with AI: a guide for women lawyers
Five tests and a scoring grid for picking one piece of work to redesign with AI, and why the choice affects how your work is recognised.
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AI certifications and CPD: what is worth it for women lawyers
What AI certifications and courses cost and certify, how AI training counts towards CPD in seven jurisdictions, and when a paid credential is worth it.
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AI governance basics for legal teams, and what they mean for women lawyers
What a legal team should decide before using an AI tool on live matters, with guidance from five jurisdictions, and what governance skills offer women lawyers.
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Why AI pays off only when the work is redesigned
Organisations that report financial results from AI are mostly the ones that changed how the work is done. What the research shows, what it means for a legal team, and where the evidence is weak.