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It's time to stop the hype, stop talking up AI as if it's the next best thing since sliced bread and prove that it's a useful tool and technology that can actually be used in the actual practice of law.

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The DOJ is likely to face many practical challenges and novel issues as it begins coding its own algorithm for AI-related enforcement. This article briefly examines three areas of AI-related enforcement where such practical challenges and novel issues may arise.

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The cybersecurity landscape is on the brink of a transformative shift, with predictive analytics and behavioral analysis leading the charge for more resilient and adaptive defenses.

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The possibilities for patenting innovative applications of multimodal models across industries are endless.

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Hackers are using AI to sift large digital data to identify more convincing approaches for their scams as well as weaknesses in weaknesses in software coding or network security.

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The ultimate guardian of the quality of client service is the partners' own judgement but properly utilizing AI can set expectations that will benefit the clients and the firm and end forever the "End of the Billable Hour" stories.

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Just like any new technology, efforts to protect and enforce intellectual property on AI-based technologies are likely to be hampered by a lack of both a unified governing framework and a common understanding of the technology.

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Generative AI, combined with client education, could signal the slow death knell of the billable hour.