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Artificial Intelligence

  • Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

    September 01, 2026Matt Kelly and Kim T. Le and Alexander Franchilli
  • The AI hype cycle has a name for lack of ROI — the trough of disillusionment, where inflated expectations meet unrealized results. But the gap between what was spent and what can be shown is not a technology problem. The technology works. The failure is operational.

    September 01, 2026Matt Bares
  • How can legal teams move fast, reduce costs, and handle greater volumes of information? AI has rapidly become the de facto answer. But beneath the enthusiasm for AI, how are practitioners actually using AI-driven tools — and what are they learning as adoption shifts from experimentation to daily operations?

    September 01, 2026Krystal Putman-Garcia
  • AI in patent prosecution is quickly becoming common across the industry. As AI capabilities will continue to evolve, new labels will almost certainly replace today’s “AI-enabled” and “AI-native” marketing language. Asking thoughtful questions about how AI is built into the entire process will provide far more insight.

    September 01, 2026Michael Drapkin and Nathan Mutter
  • The EU Artificial Intelligence Act’s latest transparency and enforcement provisions are set to extend regulatory scrutiny far beyond Europe, requiring any company whose AI systems or outputs reach EU users — including Big Tech and multinationals — to meet its rules.

    September 01, 2026Katia Rossi
  • Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

    August 01, 2026Matt Kelly and Kim T. Le and Alexander J. Franchilli
  • Headless is a simple idea with a complicated name: de-couple what a system knows from how it shows it. In a headless model, the firm’s intelligence layer sits underneath the AI tools. The interface can change, the AI platform can change, but the data layer remains the strategic prerequisite.

    August 01, 2026Tom Baldwin