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Legal inefficiency is a design problem, not a talent problem

Legal inefficiency is a design problem, not a talent problem

Corporate legal teams are under enormous pressure. Demand for legal support continues to grow, business teams move faster than ever and regulations evolve constantly. Yet legal headcount rarely grows at the same pace as the work. The response to.

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Legal inefficiency is a design problem, not a talent problem

Legal inefficiency is a design problem, not a talent problem

Corporate legal teams are under enormous pressure. Demand for legal support continues to grow, business teams move faster than ever and regulations evolve constantly. Yet legal headcount rarely grows at the same pace as the work. The response to.

Read More
Why Applied AI? Why now?

Why Applied AI? Why now?

AI is no longer new. What is new is the growing gap between experimentation and impact. Most organisations have tried AI (copilots, chat tools, point solutions), yet many are still struggling to turn that experimentation into measurable business.

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Q&A: Ben Stoneham, CTO at Autologyx, on Applied AI Agents

Q&A: Ben Stoneham, CTO at Autologyx, on Applied AI Agents

A lot of the conversation around AI focuses on tools. Less of it focuses on execution. We recently sat down with our CTO Ben Stoneham, to talk about why we built Applied AI Agents, and what it actually takes to move from AI experimentation to real.

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Call it magic: Why embedding AI in legal workflows beats standalone tools

Call it magic: Why embedding AI in legal workflows beats standalone tools

Let’s get one thing straight: AI in legal tech isn’t just about having the smartest tool in the box, it’s about having the right tool in the right place. Yes, we’ve all seen the hype. AI tools are blowing minds with how fast they can summarise.

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