Cybersecurity

The children’s privacy risk model is changing in the United States. Historically, many businesses could credibly say they did not know whether children or teens were using their apps and services. Now, that defense is becoming harder to sustain, bringing with it a wave of potential compliance obligations.

Firms are investing heavily in AI-powered business development tools and simultaneously ignoring the data foundation those tools require to function. You cannot prompt your way out of bad data. Garbage-in, garbage-out. On a galactic scale.

Part 1 of this article outlined five barriers blocking legal AI adoption — drawn from more than a hundred conversations with legal leaders. But identifying barriers isn’t the same as overcoming them. Some teams have broken through. What separates them from the rest?

Part Two of a Multipart Article. Part One is here.Litigation involving AI rarely turns on abstract questions about the technology itself. Instead, disputes typically focus on how AI was deployed, what contractual promises govern its use and how responsibility for AI-driven outcomes is allocated between providers and customers.

As states continue to strengthen breach notification statutes and expand attorney general reporting requirements, organizations that experience cybersecurity incidents resulting in extended timelines before consumer and regulatory notifications occur face increasing risk that may rival the consequences of the underlying cyber incident itself.

AI is becoming both an accelerant and a distraction for cybersecurity. In many respects, AI is acting as a stress test for existing security operations by exposing how difficult many organizations still find it to enforce basic controls consistently at scale.

Artificial intelligence is rapidly embedding itself into legal workflows, but much of the conversation treats all use cases as if they carry the same level of risk, even if they do not. The more useful question is not whether AI works, but where it can be safely applied and where it cannot.

AI-savvy lawyering is already something that clients are starting to demand. The technology is capable; the challenge now is cultural and organizational change.