Predictive Coding
Predictive coding is a machine learning-based methodology used in legal document review and e-discovery to automatically classify and prioritize documents based on their relevance to a case. It involves training a model on a small set of human-reviewed documents to predict the relevance of large volumes of un-reviewed documents, significantly reducing manual review time and costs. This approach leverages techniques like supervised learning to identify patterns and make predictions about document content.
Developers should learn predictive coding when working on legal technology, e-discovery platforms, or document management systems where automating large-scale document analysis is critical. It's particularly useful in legal cases involving massive datasets, such as litigation or regulatory investigations, to improve efficiency and accuracy in identifying relevant evidence. Knowledge of this methodology helps in building AI-driven tools that streamline legal workflows and comply with discovery requirements.