• This story arrived in my inbox while I was making a luncheon presentation to a law firm in Toronto. It reports that, “much of the foundational research into artificial intelligence originated in Canada, but we’ll have to work to stay a leader in the field.” It suggests ways to capitalize on that early lead.


  • As expected, AI-wise, Legaltech kicked off strong yesterday, including an “AI Bootcamp” called, “Use Cases and Applications of AI in Legal Services.” One of the earliest summaries I have seen is this from Artificial Lawyer. I’m especially pleased to see the emphasis on Access to Justice (A2J). The summary includes:

“(AI) can help you do

  • From Down Under: Dean of Swinburne Law School, Professor Dan Hunter, and Swinburne researcher Professor Mirko Bagaric say artificial intelligence (AI) could improve sentencing procedures by removing emotional bias and human error. Seems these gentlemen are unaware of 2017’s several instances of AI exhibiting bias and even racism. AI has a way to go

  • This post on the LMA’s Strategies+ blog (originally from last month’s issue of the magazine Strategies) has a bit of a clickbait title, “AI Is the Future of Everything, Right? Not So Fast.” The actual substance is a list of seven things law firms could be doing now to improve the business of their

  • It’s great to see 2018 start off without any of the AI hype that we saw in 2017. By the way, I noticed these stories this morning (italics mine):

– Google CEO Sundar Pichai said Friday on MSNBC, “AI is one of the most important things that humanity is working on. It’s more profound

  • This rather lengthy article does a good job of describing various scenarios in which harm may be caused by AI but the assignment liability is unclear. Interesting read. Again, the tech is way ahead of the laws and regulations.
  • Here’s a bit more about the need for healthcare-related AI regulation from Geoffrey Hinton, VP

  • This post from “legal automation provider,” Plexus exposes much of the hype associated with AI in legal (largely because of systems masquerading as AI that aren’t really), but predicts that, “in the short-term, clients should expect to be disappointed by promises of A.I. In the long term, they should expect to be astounded.”
  • Orrick

  • This article from the Harvard Journal of Law & Technology (Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies by Matthew U. Scherer of Littler Mendelson), is a bit long and complex, but it is the most thorough treatment of the issue (regulating AI) I have seen.
  • In Darwin, Australia, Ailira (Artificially Intelligent Legal