Data Science
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
Data science (also known as data analytics) is often used in electronic discovery to find admissible evidence for litigation. These techniques are also useful for the basis of software models for business policies and processes, and thus dovetails with both legal engineering and electronic discovery. This area also has several underlying legal issues, namely the ownership of data (and thus intellectual property) as well as data privacy laws. Finally, in some instances, the data may contain personally sensitive information, and thus may be the subject of data breach/notification cases as other aspects related to cybersecurity.
Ron has made several presentations to data scientists and machine learning engineers. Here is a sample of some of those presentations:
Understanding Bias, Privacy and Legality of Using AI
These are the slides to a webinar made on May 18, 2020 for an organization called "Artificial Intelligence in Telecom."
Understanding Bias, Privacy and Legality Associated with AI
This presentation was made to a group of Data Scientists and AI Engineers in Plano, Texas on October 7, 2019
Use Cases for Artificial Intelligence in the Legal Industry
This presentation was made to the Natural Language Processing Group in Houston, Texas on June 29, 2019
General Data Protection Regulation: Keeping yourself, your customers, and your data safe in a monitized-data era
This presentation was made before a meeting of data scientists and data analysts in New York City on October 10, 2018
Leveraging "Big Data" to Track the Unwary
A presentation on ways that "Big Data" corporations track the online activities of attorneys and how such tracking can adversely affect the attorney (or be used by an opponent to affect a subsequent lawsuit). Presented to the Houston Chapter of InfraGuard on December 2, 2015 in Houston, Texas.