Imagine this: You’re working on a jigsaw puzzle. It’s 1,000 pieces and you’re methodically going through them all, connecting what goes together, maybe categorizing the different types, colors, and patterns. And, while you’re doing this, all of a sudden that 1,000-piece puzzle becomes a 1,500-piece puzzle. And, oh yeah, the picture has changed. And this keeps happening over, and over, and over again. It would drive you crazy. But unfortunately, for business owners and business professionals, this story is one that’s all too familiar.
In the legal profession, the ever-expanding jigsaw puzzle is the hunt for evidence that can make or break a case. But finding the smoking gun is like searching for a needle in a haystack and most of the time, you don’t even know what the needle looks like.
AJ Shankar is the Founder and CEO of Everlaw, a legal tech company that is taking these impossible tasks out of the hands of lawyers and is spinning the haystacks into gold. How does it do that? Find out on Business X factors.
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“They’re going to get a huge pile of evidence, a huge Corpus of evidence, whether, if they’re a law firm from their own client or from opposing counsel, that’s a separate pile of evidence. Then the other client next door, they all get their own huge haystacks. And somewhere in that haystack are the smoking guns and the incriminating emails or whatever that are going to make their case or exonerate their client. That’s what they’re looking for. And we don’t know what it looks like, and they don’t know what it looks like until they begin, because it’s a different haystack every time. And the needles are different every time.”
“I don’t know that everyone thinks math is cool, but I thought it was like a real beauty to it and elegance and an intellectual challenge and excitement about taking some simple rules and then extrapolating where they go, you get really complex results. And by the way, that’s really similar to the law, right? The law is like some rules. And then the actual interplay of these rules leads to really rich and interesting discussions.”
“I think the emphasis in legal tech should be on the tech, right? …You don’t want your software designed by lawyers. If you are a doctor and you have an idea for an MRI machine you don’t go to another doctor and say, ‘Hey, build me this MRI machine’. You go to an engineer who’s really good at building these machines. And that’s a very fruitful partnership.”
“The problem we’re trying to solve is, hey, here’s a huge haystack getting bigger every year and you got to find the needles in it. We don’t even know what the needles look like. Literally 0.1% of these things are interesting to you.”
“To collaborate with your peers, to build an argument that can sway a jury or a judge or opposing counsel, those are fundamentally hard problems. And so actually engineering this means building technology that can handle ingesting zillions of documents at high speed and short notice extracting tons of information from them, creating visualizations, using artificial intelligence, to tell where in the haystack to look or even just mapping out the haystack for you.”
“Our job is to handle all of that incredible complexity and sophistication so that you, as an end user, can have a really good experience and do what you want to do, which is practice law. That clear separation of concerns in my mind is really valuable.”
“When you have a hundred, 200, 300,000 documents to look through, finding the important ones is all the more important. And we actually can measure this compared to the industry standards. You know, for instance, a standard review rate is maybe 50 documents an hour. Using our tools, you can get up to 140 documents an hour as a reviewer.”
AJ Shankar is the Founder and CEO of Everlaw, a legal tech company he founded in 2011 where he is building ‘the world’s most advanced litigation platform. Prior to Everlaw, AJ co-founded Modista, a company that used computed vision to make shopping for soft goods intuitive. He also worked at IBM Research as part of its Advanced Internet Technologies Group. AJ has a Ph.D in computer science from UC Berkeley and an A.B. in applied mathematics/computer science from Harvard University and he is a Forbes Council member. He believes truly important messages in businesses should happen over email not in chats.
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