This is the first of seven informal video talks on document review and predictive coding. These short videos share my thoughts on the e-Discovery Team’s eight-step work flow for document review, shown above. I explain predictive coding and the Team’s Hybrid Multimodal Method. This first video addresses the big picture, why it is critical to our system of justice for the legal profession to keep up with technology, including especially active machine learning (predictive coding).
The flood of data now all too often hides the truth and frustrates justice. Cases tend to be decided on shadows, smoke and mirrors, because the key documents cannot be found. The needles of truth hide in vast haystacks in the clouds. Justice demands the truth, the full truth, not some bastardized twitter version.
The use of AI in legal search can change that. It can empower lawyers to find the needles and decide cases on what really happened, and do so quickly and inexpensively. It can usher in a new age of greater justice for all, blind to wealth and power. The stability of society demands nothing less.
The videos after this introduction are more technical. They delve into details of the work flow and show that it is easier than you might think. After all, only two of the eight steps (four and six) are unique to document reviews that use predictive coding. The others are found in any large scale review project, or should be.
For a more systematic explanation of the methods and eight-steps see Predictive Coding 3.0. Still more information on predictive coding and electronic document review can be found in the fifty-six articles published here on the topic since 2011.