Technology Assisted Review | Community Health

Technology assisted review (TAR) is a process that utilizes artificial intelligence and machine learning algorithms to assist in the review of large document sets, typically for e-discovery purposes. This technology has been around since the early 2000s, with the first TAR patent being granted to Equivio in 2007. TAR works by using algorithms to identify patterns and relationships within the data, allowing for more efficient and accurate review. According to a study by the International Journal of Law and Information Technology, TAR can reduce review time by up to 80% and costs by up to 90%. However, there are also concerns about the reliability and defensibility of TAR, with some critics arguing that it can be biased or incomplete. As the use of TAR continues to grow, it is likely that we will see further developments in this technology, including the integration of new AI and machine learning techniques, such as deep learning and natural language processing. With a vibe score of 8, indicating a high level of cultural energy and interest, TAR is an area to watch in the coming years, with potential applications in fields beyond e-discovery, such as contract review and compliance.