The central lesson of the show: while IBM’s bets are both massive and risky, it has chosen its bets wisely – hoping to get into the ground floor of world-changing trends that each promise to follow Moore’s Law patterns of exponential growth.
By leveraging deep learning technologies as well as increasingly mature, pre-trained industry ‘assistants,’ Watson has largely overcome these challenges.
The result: today, Watson is finding its way into a broad swath of IBM’s product line,...
The goal of the Google Quantum AI lab is to build a quantum computer that can be used to solve real-world problems. Our strategy is to explore near-term applications using systems that are forward compatible to a large-scale universal error-corrected quantum computer. In order for a quantum processor to be able to run algorithms beyond the scope of classical simulations, it requires not only a large number of qubits. Crucially, the processor must also have low error rates on readout and logical...
ISO Claims Partners has announced the integration of Premonition data and legal analytics into its suite of services. Premonition maintains the world’s largest litigation database. ISO Claims Partners is a Verisk (Nasdaq:VRSK) business and a leader in Medicare compliance and claims analytics.
Premonition data will benefit ISO Claims Partners customers by providing them with unprecedented access to litigation information at the state and local level. The service will guide insurers in selecting...
Yesterday, the Financial Industry Regulatory Authority (“FINRA”) published a report stating between 22 and 30 percent of arbitration awards issued through the organization’s forum went unpaid between 2010 and 2016. In addition, as much as 50 percent of the value of FINRA awards were not paid during the same time period. According to a FINRA news release titled, “Statistics on Unpaid Customer Awards in FINRA Arbitration”:
Arbitration cases decided by award in the forum operated...
Developments in legal technology are allowing for a deeper analysis of court decisions, including how specific judges tend to rule, whether certain motions are accepted or denied, and the specific information contained in dockets or rendered decisions which can then be utilized in case strategy. Such information has always been available, but has never before been compiled and analyzed into a single data set. However legal research and analytics firms such as Ravel Law, Lex Machina and others are spearheading...
The business platitude “data is the new oil” has proven its worth in spades over the last decade. The country’s biggest companies, groups like Google, Facebook and Amazon, trade primarily in data; organizations across industries have invested heavily in business analytics, developers and analysts; and “data scientist” roles have become some of the most lucrative jobs on the market. Yet law firms, for the most part, haven’t quite caught up.
But that might be changing. A growing number...
Harvard Law Today is reporting on a new computer program developed by four Harvard Law School students that uses artificial intelligence to help lawyers draft contracts.
HLS students harness artificial intelligence to revolutionize how lawyers draft and manage contracts
Four Harvard Law students have their heads in the cloud—and they think the rest of the legal profession should join them. With their powerful new search engine called Evisort that harnesses cloud storage and artificial...
It seems that my mother was not alone in trusting strangers. In a January 29, 2018 post entitled This Is Why You Trust Some strangers and Not Others, Brandon Specktor, Senior Writer at LiveScience.com, notes that researchers have found that our ability to trust strangers depends on how much they resemble others that we know to be trustworthy or not so trustworthy. (Id.) In short, it is an “appearance” bias that operates like the Pavlovian response we all learned about in school. If a stranger...
Catherine A. Rogers, Professor of Law at Penn State Law and Professor of Ethics, Regulation, and the Rule of Law at Queen Mary, University of London, has published “Arbitrator Intelligence: From Intuition to Data in Arbitrator Appointments,” New York Dispute Resolution Lawyer Volume 11 No. 2 (Spring 2018). In her essay, Professor Rogers discusses using data gathered using the Arbitrator Intelligence Questionnaire to select neutrals.
Here is the abstract:
In virtually every sector...