Concluding that AI will eliminate the attorney reviewer, or even the broader document review market, misses a much larger change underway. The question is not simply how many people it takes to analyze a million documents. The more interesting question is: What happens when analyzing information becomes dramatically less expensive?
Recent advances in generative artificial intelligence are likely to soon upend the balance between those who discover and exploit software vulnerabilities and those responsible for protecting organizations from them.
Understanding the pitfalls of operational fault lines that exist at the intersection of discovery obligations and cross-border restrictions and planning ahead will help ensure that each e-discovery exercise is supported with a strategy that can be efficiently executed and uphold defensibility across all regions involved.
Quantum computing has the potential to crack today’s encryption standards, which means that companies that rely on the encryption of stolen data cannot assume that the data will remain impervious to decryption.
The cyber insurance industry has spent five years treating the ransom demand as the headline cost of a cyber claim. For a maturing book, the more corrosive cost is the one nobody underwrote: the variability of vendor spend.
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?
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.
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.
Entrepreneurship. It has such a romantic ring, doesn’t it? When we hear the word, we think of incredibly successful people who must lead a charmed life. But the truth of the matter is often far from that. Just ask Melissa Rogozinski whose recent book, Becoming Phoenix, tells a much different story.
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.
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