What have been 2015’s most important developments in legal technology? For the past two years, I’ve posted my picks of the top developments in legal tech (2014, 2013). With another year under our belts, it’s time to look back at 2015.
The second-biggest legal technology story of 2015 was the acquisition of Lex Machina by LexisNexis. It was a significant deal in itself, but even more so for what it signals about the direction in which legal technology is headed. Why would one of the world’s most-established legal information and technology companies want this small, six-year-old Silicon Valley start-up? The answer, in a word: Analytics. Lex Machina has developed and refined sophisticated analytics that open new windows into court data. It takes data from the federal courts’ PACER system – dockets, court filings, orders – and lets users extract information, patterns and trends that would otherwise be invisible. It provides insights into lawyers, law firms, litigants, judges and courts that inform decision making and strategy.
So far, Lex Machina has done this for only intellectual property law, but that is just the tip of the iceberg. And there is no reason to confine such analytics to court data. There are troves of freely available government information that could harbor all sorts of invaluable information for legal professionals. Even beyond government data, analytics are already being used by lawyers in e-discovery, budgeting, fee negotiations, settlement negotiations, and a host of other applications. Lex Machina is by no means the only legal company in this space – PacerPro recently launched a new analytics tool called Litigant Profiling and Ravel Law offers its Judge Analytics – but its acquisition underscores the growing significance of data analytics in law.
In the early days of 2015, a team of students at the University of Toronto created a start-up to bring artificial intelligence to legal research. Using IBM’s Watson – the computer most famous for winning Jeopardy! In 2011 – as their platform, they launched ROSS Intelligence, an AI system that they say can answer lawyers’ natural-language legal-research questions, such as, “Can a bankrupt company still conduct business?”
Initially, ROSS “learned” only a small subset of Canadian law. But in July, after receiving funding from Y Combinator, its developers moved, at least temporarily, to Silicon Valley and set their sights on the much-larger U.S. market. In addition, the global law firm Dentons announced that it was making an undisclosed investment in the company. ROSS’s developers say it can provide a lawyer with a highly relevant answer to a legal research question posed in natural language. The more it does, the more it learns and the better it gets. It can also monitor legal developments for changes that can affect your case, instead of requiring you to monitor a torrent of legal news.
Will ROSS and its progeny someday replace lawyers for legal research? I have no doubt it will at least someday become an integral tool in law practice. Whatever the future of AI in law, 2015 can be recorded as the year it got started.


