TAR

Technology-Assisted Review (TAR) is a significant application in the field of Natural Language Processing (NLP), designed to efficiently and accurately classify and screen large volumes of documents through automated tools and algorithms. The primary goal of TAR is to enhance document review efficiency in industries such as law and finance, reduce the time and cost associated with manual review, while ensuring the accuracy and consistency of the review process. Its application value lies in the ability to rapidly process massive amounts of data, support decision-making, optimize workflows, and improve overall business performance.