Last week I wrote a story asking the question, “How important is it for law schools to teach students about electronic discovery?” The post stemmed from a perturbed tipster, who lamented the fact that her alma mater had decided to offer a class exclusively dealing with the subject.
The poll results were interesting. Most of you said the subject is definitely worth learning in school, despite its alleged unsexiness.
Additionally, I received an letter a few days after the story ran, signed by 14 attorneys, including small firm and Biglaw partners, tech company leaders, and one state judge, who wanted to give their collective opinion on the issue.
Technophiles will appreciate the note, although some young lawyers might find it an ominous sign of document review work to come. Let’s take a look at what these decision-making readers had to say…
The conference was frenetic, to say the least. There was a lot going on, regarding a cornucopia of technological topics and tools to help lawyers. As expected, the biggest hype revolved around predictive coding and computer-assisted review.
The legal technology world has been buzzing about this stuff for a while now, and we have covered it on these pages several times before. (Here and here, for starters). At the conference, attendees got to hear from the naysayers, the enthusiasts, and everyone in between. Several panels helped explain exactly what the technology means on a practical level. And no, cyborgs will not be stealing all the contract attorney jobs any time soon.
One of this week’s highlights was a lunchtime panel featuring two prominent attorneys and a New York magistrate judge. The discussion helped clarify, demystify, and define the terms that have been making headlines (even in the New York Times) for a good part of the past year. Is computer-assisted review as scary as it seems? Of course not.
Let’s see what the panelists — and at least one irate audience member — had to say….
Keyword searching is absolutely terrible, in terms of statistical responsiveness.
– Magistrate Judge Andrew Peck (S.D.N.Y.), in a panel today at the LegalTech conference. He spoke alongside Wachtell Lipton counsel Maura Grossman and Jackson Lewis partner Ralph Losey, on a panel that aimed to demystify cutting-edge, computer-assisted e-discovery technology. Peck is a vocal proponent of computer-assisted discovery and predictive coding. He is not a fan of the slightly older keyword-searching technology.
(A few minutes later, Losey had another strong opinion to add. See what was said, after the jump.)
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The last time I flapped my wings your way, I tried to make at least enough noise about your mobile phone to make you more than a little bit uncomfortable. I hope I did. If enough of us become anxious enough about the known and unknown unknowns and knowns in our mobile phones, then we can start making wise decisions about how to manage that information and its resultant investigations.
Today, I’d like to put a finer point on the last installment’s topic by asking a question that seemed to catch most attendees off-guard at a conference panel that I moderated last week: is there discoverable personal information in a mobile app? Our panelists’ answer was a uniform “yes” with one stating that, if he had to choose only one type of data that he could discover from a mobile phone, he’d choose app data. Why? Because there’s simply so much of it and because almost all of it is objective – not just user-created like an email – but machine-tracked like GPS, usage duration, log in and log out times, browsed web addresses, browsed actual addresses. Also, most of us seem to have the idea that data doesn’t actually “stick” to our mobile devices the way it “sticks” to our hard drives. Maybe there’s a disconnect based on the fact that our phones are mobile so we assume the data is mobile to?
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