- Congratulations to the 2018 Legal Marketing Technology Impact Award Winners! In the Marketing category, Orrick won for its GDPR Readiness Tool (discussed a couple of times previously on this blog). Allen Matkins’ “Budget Estimate & Burn Rate” won in the Client Service & Delivery category, and Keesal, Young & Logan’s “NewWork Intake” won for Strategy & Innovation. Next year, let’s try not to schedule the LMATech West Conference the same week as Legalweek/Legaltech in NYC.
- Speaking of the GDPR, Artificial Lawyer reports that “…Irish law firm, McCann FitzGerald, has today launched a GDPR analysis tool that leverages Neota Logic’s ‘Intelligent Reasoning’ technology. The GDPR app, called ‘GDPR Gap Analysis’, will, says the firm, ‘enable organisations to quickly assess their own level of GDPR compliance and identify areas of major risk where they need to focus their compliance efforts’.”
- Check out Bob Ambrogi’s extensive review of ROSS’ new free AI tool “EVA, “A Free AI Tool To Analyze Briefs, Check Cites and Find Similar Cases.” According to ROSS, ““With EVA, we want to provide a small taste of ROSS in a practical application, which is why we’re releasing it completely free.” “If we’re releasing all this for free, you can imagine what we have in our paid platform.”
- Jordan Furlong has this addition to the conversation about AI and legal ethics on which I have posted several times before. His spin is somewhat Canada-focused. Expect more when he participates on this CBA panel on March 4.
- Here’s a paper from Herbert Smith Freehills titled, “Data use: protecting a critical resource.” Overview: “This article examines market trends in the ballooning use of data worldwide and some of the legal implications of dealing with data, particularly in light of the General Data Protection Regulation … which will apply from 25 May 2018, including in particular, GDPR compliance, cyber security and employee monitoring.”
- From Day Pitney: “Is Artificial Intelligence Ready for Health-Care Prime Time?”
- This story from RadioLab is a remarkable explanation of AI-driven high frequency stock trading. On May 6, 2010 it caused a 1000-point fall of the Dow in two and a half minutes. Exactly what went wrong still isn’t completely understood. The engineering and physics involved are fascinating.
- It seems that the use of AI in surveillance expands to another country every week or so. Now, this (Cortica) from Israel: “An Israeli development allows drones to reveal the identity of people it photographs, even when it comes to crowded population places. It is possible to identify those who were photographed with full name, age, place of birth and residence, list of friends and other information.”
Here, from Wired, is a good discussion of the limitations of machine learning; at least for now.
And this article from the South China Morning Post stresses the fact that AI is only as good as the data from which it learns. (Remember, it’s all about the data.) Considering the limitations of the data available to AI systems, the author “still look(s) forward to asking the first Chinese AI systems: ‘What happened on June 4, 1989 in Tiananmen Square?’ or ‘Name the top 100 corrupt officials in China.'”
And back to Wired for this essay “To Advance Artificial Intelligence, Reverse-Engineer the Brain.” It reminds me of a paper I wrote in grad school, “A Deductive Approach to Human Communication,” so I think it’s brilliant! The basic premise of both is “To advance A.I., reverse engineering the brain is the way forward. The solution is right behind our eyes.”