Machine Learning Realities and Fictions: A Q&A With Catalyst's Andrew Bye

As the e-discovery market matures, new technologies supporting cheaper, quicker and more in-depth analysis have emerged to help companies set themselves apart from the pack. Artificial intelligence processes, process analytics and document review have all found their way into technology-assisted review (TAR) processes, making it sometimes difficult to know what kind of technology a given company is really talking about when they refer to their unique, high-tech strategies.

Andrew Bye, who recently joined Catalyst's team as director of machine learning and analytics, has been working in the industry long enough to know where machine learning can boost efficiency and where it operates more as a marketing ploy. He discussed his trajectory through the e-discovery market and how he's seen machine learning grow in TAR processes:

Plugged In

Hometown: I grew up in Newport Beach, California, and have bounced back and forth between southern and northern California since college. I've been in San Francisco for about 12 years now and have no intention of leaving.