Predictive coding is a process used in machine learning and artificial intelligence to make predictions based on data. It involves training an algorithm with labeled examples, so that it can learn patterns and relationships within the data. Once trained, the algorithm uses these learned patterns to predict outcomes for new, unseen data.
In e-discovery, predictive coding is used to help identify relevant documents during the review process. It involves using an algorithm to analyze a set of documents and categorize them as relevant or not relevant to a particular legal matter. The algorithm can then be trained on these initial classifications to improve its accuracy over time.
Overall, predictive coding is a powerful tool that allows machines to learn from data and make predictions based on those patterns. It has many applications in various fields, including finance, healthcare, and marketing.