Join DisputeSoft Managing Director Andrew Schulman for a live webcast on April 29 to learn about the important role that source code plays in intellectual property cases.
An Overview of Machine Learning Applications to Technology Assisted Review for E-Discovery Part Two: Optical Character Recognition and Natural Language Processing
This is the second installment of a four-part series on technology assisted review (TAR). This article explores two machine learning techniques pertinent to TAR: optical character recognition and natural language processing.
An Overview of Machine Learning Applications to Technology Assisted Review for E-Discovery Part One: Supervised and Unsupervised Machine Learning Algorithms
This is the first installment of a four-part series on technology assisted review (TAR), a process that uses machine learning to increase efficiency and decrease the cost of document review in litigation. This article explores differences between supervised and unsupervised machine learning algorithms.
On March 19, 2020, former Google software engineer Anthony Levandowski pleaded guilty to stealing trade secret documents related to self-driving car technology before launching his own company, which was later acquired by Uber Technologies Inc.
On March 16, 2020, a judge in the U.S. District Court for the Eastern District of New York granted summary judgment to GEICO in the matter of Capricorn Management Systems, Inc. v. Government Employees Insurance Co.
On March 6, 2020, a judge in the U.S. District Court for the Southern District of New York granted defendant Humor Rainbow Inc.’s motion to dismiss in a patent infringement dispute regarding the company’s mobile dating application OKCupid.