ABAJ: Could the use of AI upend privacy and security expectations in court?

ABAJ: Could the use of AI upend privacy and security expectations in court? by Amanda Robert:

As AI becomes more powerful and users become more savvy, will this sort of sleuthing become more frequent in the future? Legal experts say yes, especially since it was already happening long before AI.

Earlier in his career, Jonah Perlin was a litigator at Williams & Connolly in Washington, D.C., where he used the internet and paid and unpaid search tools to pull together information that wasn’t provided in a single court document.

“AI is providing us, for better or for worse—and most of the time, I think it’s for the better—with opportunities to do things that were always possible but maybe not scalable,” says Perlin, now a professor at Georgetown University Law Center whose scholarship includes legal ethics and the technology of law.

Perlin doesn’t anticipate that AI will do a “cryptographic hack” of properly redacted and sealed information. But as the Above the Law example illustrates, but he does expect details that are “hiding in plain sight” to continue to be uncovered.

“It’s the information that you can find if you’re able to read between the lines,” Perlin says. “What would have taken a human a lot of knowledge and maybe 20 hours of searching can now be done in seconds.”

Andrew Guthrie Ferguson, a professor at the George Washington University Law School, agrees that AI could connect information that may have been fragmented or flew under the radar in the past. For example, he says if someone uses an AI tool in a court management system, which isn’t typically open to the public, it could reveal patterns that wouldn’t ordinarily be noticed.

“That said, most people will not have access to a closed system, so court data might be a bit more protected than some other types of data,” says Ferguson, the author of the book, Your Data Will Be Used Against You: Policing in the Age of Self-Surveillance.

But Ferguson notes there is a danger that public-facing data, such as information about criminal cases on court websites, could “be scraped by bots” and moved to separate private datasets. AI could make new connections using that approach, he says.

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