Since my last post, Artificially Intelligent Lawyers, Oh My! a lot has happened in the world of artificial intelligence technology (AI). In this post, we’ll explore the uses, latest developments, advantages of AI adoption by law firms, and take a look at some of the current and up and coming players in legal AI.
Inside ROSS: What Artificial Intelligence Means for your Firm delves into the specifics of what ROSS Intelligence brings to the table for bankruptcy research, namely speed and accuracy by providing on-point results when give a specific bankruptcy legal question. Legal Artificial Intelligence Explained provides a succinct definition of the term and enumerates five potential uses for it in the legal field. Five AI Pioneers to Watch showcases five up and coming AI technology companies and their analytic products.
AI adoption in law firms is trending upward and the big AI players are Neota Logic, Kira Systems, Ravn Systems, Ravel Law, Lex Machina, NextLaw Labs and eBrevia. While currently the main uses are in document review and due diligence work, use of it for performing legal research is on the rise too as evidenced by the adoption of ROSS Intelligence by some law firms. Of course Lexis and Thomson Reuters (i.e. Westlaw) legal research providers have already dipped their toes into the world of AI via the latter partnering with IBM Watson technology and the former’s recent roll-out of case analytics.
Advantages abound for law firms that embrace artificial intelligence. Because AI learns from the relationships between words and what provisions and concepts look like from samples of documents or research questions asked, it speeds and improves the process of drafting documents and doing legal research. Also as a technology that automates mundane tasks, it frees up a lawyers’ time to focus on the higher level skill of advising clients.
Is your law firm ready to jump on the AI bandwagon before it becomes mainstream? If so it better hurry because with the announcement that Microsoft merges Bing, Cortana, and Research to make 5,000-strong AI division and Google Analytics making AI mainstream, other technology giants can’t be far behind.