Jordan Furlong argues that corporate in-house legal departments will be the first ones in the legal world to really adopt artificial intelligence because in-house lawyers are not beholden to the billable hour:
Corporate law departments, unlike law firms, are financially structured to seek the most effective and productive outcomes with the least use of effort and resources. Cognitive reasoning technologies are designed to achieve exactly this kind of outcome, so the alignment of interests between AI and in-house is clear and substantial.
Read the whole interview and indeed, read anything Jordan Furlong has to say about the legal world.
By the way, I just learned about artificial lawyer, and eager to dive in and read more about what they have to say.
The terms “Artificial Intelligence” and “Machine Learning” get thrown around a lot but what is the difference. As Chris Nicolson explains on Quora, artificial intelligence is a broad term that covers lots of examples of “computer doing smart things that everyone used to think only a human mind could do.” An example of this is “win at chess”. “Machine Learning” is a particular APPROACH to attempting to create artificial intelligence, namely, giving the algorithm (aka the machine) data and allowing the computer to find patterns in the data.
I recently ran across this nice introduction to machine learning by Adam Geitney “Machine Learning is Fun“
Dan Katz has a new post up on artificial intelligence and the law. I haven’t even had a chance to go through it yet, but anything Dan writes on this topic is, as Tyler Cowen says “self-recommending”.