Within the article, Matt provides a few focused discussion points: Technology-assisted review and how human reviewers train technology (think e-discovery tools), how Millennials drive adoption (now that Millennials make up more than 1/3rd of the U.S. workforce and as much as 21.5 percent of lawyers in the United States), and how increased efficiency equates to increased exposure (the belief that proofreading solutions maximize efficiency benefits and how a small mistake in a litigation or transactional document could cost the lawyer or firm their reputation with the client and future clients).
A few highlights from the article are below:
As lawyers increasingly inundate one another with information to bury opposing counsel and delay cases, it became apparent that review of these large documents could no longer be done manually.
The breakthrough of AI began with the grandfather of artificial document intelligence (ADI), U.S. Magistrate Judge Andrew J. Peck, who authored the first-ever court decision back in 2011 by approving the use of technology-assisted review in e-discovery (and was awarded the Champion of Technology award by Legaltech News). Before long, judges began mandating the use of e-discovery.
What we’ve observed is the rush of progressive firms to push for more sophisticated comparisons and information. Lawyers want the assurance of knowing that nothing is missed from their documents. Imagine the time savings delivered by a software solution that automatically generates a new contract based on a lawyer’s favorite language from every similar document they have ever created!
This concept of technology would mimic similar to retail sites, such as Amazon, that collect shopping behavior and provide recommendations of what else you might like to purchase. A lawyer could upload their document population to a firm’s repository and allow users to train the systems about what information is relevant. While the technology in the legal industry is still catching up, there are options currently available.
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