While predictive coding has been the dominant AI technology (in e-discovery) since 2012, new AI technologies are emerging, and e-discovery could be on the cusp of another technological leap forward.
What Is Predictive Coding?
The AI behind predictive coding is really only augmenting the attorney’s own abilities as it detects patterns that are seemingly invisible to human reviewers. iPredictive coding is specific to review.
Predictive coding leverages machine learning to surface likely relevant documents based off prior review decisions. It might help you with other parts of your discovery. Predictive coding is now transforming ediscovery, using artificial intelligence (AI) to expedite the review process, saving firms both time and money. ... Big Data, litigation and artificial intelligence. The Problem The pattern is the important part of the equation because it must be true for the prediction to be accurate. AI and e-disclosure: beyond predictive coding. The people behind the program software and manual reviewing of responsive documents will continue to remain vital to the accuracy and success of predictive coding. Artificial intelligence is an overarching term where the technology is doing more than just helping you with the review phase. Effective use of AI-powered e-discovery through predictive coding involves a process in which human users continue to provide important input. In this previous post (well worth reading), Matt discussed predictive coding in the context of whether it will complement human attorneys or replace them.
How Does Predictive Coding Differ from Artificial Intelligence (AI)? That is what predictive learning, only in the AI world, the goal is to be able to develop technology than can use predictive coding and learning to solve some interesting problems. Predictive coding–also known as “computer-assisted coding” or “technology-assisted review”–is the area where courts most often deal with AI. In truth, this is only the beginning. For example, predictive coding (also known as technology assisted review or TAR) uses AI to learn and make better decisions while significantly expediting the document review process.