The field of artificial intelligence (AI) and the law is on the cusp of a revolution that began with text analytic programs like IBM's Watson and Debater and the open-source information management architectures on which they are based. Today, new legal applications are beginning to appear and this book - designed to explain computational processes to non-programmers - describes how they will change the practice of law, specifically by connecting computational models of legal reasoning directly with...
A few years ago, Goldman Sachs Group Inc.’s leaders took a hard look at how the bank carries out initial public offerings. They mapped 127 steps in every deal, then set out to see how many could be done by computers instead of people.
The answer so far: about half.
Just 21 months after the firm disclosed its plan to re-engineer one of Wall Street’s most lucrative businesses, the project has found ways to eliminate thousands of hours of work long performed by humans. A computer-based interface...
DL: Which seems like a perfect background for Lex Machina….
OB: Look at Moneyball, and the application of analytics to fields as diverse as sports, finance, and marketing. Everything has become analytics-driven. Why not law? That’s what Lex Machina is all about.
In 2010, Lex Machina — which started out as a public interest project at Stanford Law School, focused on quantitative analysis of patent litigation — spun out as a private company. In 2011, the board hired my friend...
The most important AI-related technology for the legal industry is natural language processing. This refers to the ability of computers to recognize not just the mechanics but the meaning of written and spoken language, especially in the context of documents as a whole. A number of tech startups provide law firms with compelling products that employ natural language processing.
Ravel Law is a startup that offers a case analytics tool that analyzes the language contained in case law and allows...
Most people spend a significant amount of time each day using mobile-device keyboards: composing emails, texting, engaging in social media, and more. Yet, mobile keyboards are still cumbersome to handle. The average user is roughly 35% slower typing on a mobile device than on a physical keyboard. To change that, we recently provided many exciting improvements to Gboard for Android, working towards our vision of creating an intelligent mechanism that enables faster input while offering suggestions...
Today Google Scholar released a new collection of "Classic Papers: Articles That Have Stood The Test of Time." The new collection appears to gather the most cited papers in each year published approximately 10 years ago (2006). Although it's a bit "chronocentric" to label papers from 2006 as "classic" and having "stood the test of time," it's still nice that Google brings together the most cited papers in each discipline.
In the law category, the top paper is Jeremy Waldron's The Core of the Case...
The legal analytics company Lex Machina today announced what it is describing as the most ambitious and largest expansion yet of its analytics into a new practice area, commercial litigation.
Since its acquisition in November 2015 by LexisNexis, Lex Machina has been using LexisNexis’s collection of federal and state docket data to expand its analytics platform beyond its original area of intellectual property into other practice areas, adding securities last July and antitrust in November....