WHY I LOVE PREDICTIVE CODING: Making Document Review Fun Again with Mr. EDR and Predictive Coding 4.0

Many lawyers and technologists like predictive coding and recommend it to their colleagues. They have good reasons. It has worked for them. It has allowed them to do e-discovery reviews in an effective, cost efficient manner, especially the big projects. That Read More …

Ethical Guidelines for Artificial Intelligence Research

The most complete set of AI ethics developed to date, the twenty-three Asilomar Principles, was created by the Future of Life Institute in early 2017 at their Asilomar Conference. Ninety percent or more of the attendees at the conference had to Read More …

Moravec’s Paradox of Artificial Intelligence and a Possible Solution by Hiroshi Yamakawa with Interesting Ethical Implications

Have you heard of Moravec’s Paradox? This is a principle discovered by AI robotics expert Hans Moravec in the 1980s. He discovered that, contrary to traditional assumptions, high-level reasoning requires relatively little computation power, whereas low-level sensorimotor skills require enormous Read More …

Predictive Coding 4.0 – Nine Key Points of Legal Document Review and an Updated Statement of Our Workflow – Part Three

This is the third installment of my lengthy article explaining the e-Discovery Team’s latest enhancements to electronic document review using Predictive Coding. Here are Parts One and Two. This series explains the nine insights (6+3) behind the latest upgrade to Read More …

What Chaos Theory Tell Us About e-Discovery and the Projected ‘Information → Knowledge → Wisdom’ Transition

This article assumes a general, non-technical familiarity with the scientific theory of Chaos. See James Gleick’s book, Chaos: making a new science (1987). This field of study is not usually discussed in the context of “The Law,” although there is a small body of Read More …