While the fundamental principles underlying all predictive coding technologies are similar, there are significant differences between offerings in the market.
These differences are manifest in the validity of the training process, quality and defensibility of results, ability of the tools to quantify outcomes, statistical veracity, and capacity of the tools to verify output and perform quality assurance.
Any other differentiators?
