

AI is a powerful technology that can revolutionize the way we work with large amounts of data. In particular, AI can be used to prioritize relevant documents, batch them for review by teams, and continuously learn and improve from the review process.
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One of the main benefits of using AI in document review is the ability to bring relevant results to the top. With AI, we can quickly analyze large amounts of data and identify documents that are likely to be relevant to a particular case or matter. This can save time and reduce costs by allowing reviewers to focus on the most important documents first.
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Continuous Active Learning (CAL) can improve the accuracy and efficiency of document review. CAL uses machine learning algorithms to continuously learn from reviewer feedback and improve the relevance of search results. This technology can help reduce the number of irrelevant documents that need to be reviewed, while also improving the accuracy of relevant document identification.
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Technology Assisted Review (TAR) - TAR 1.0 was the first generation of TAR technology, which used simple algorithms to identify relevant documents. TAR 2.0 is a more advanced version that uses machine learning algorithms to improve accuracy and efficiency. Other TAR technologies, such as predictive coding and clustering, can also be used to improve document review.
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Next Generation Language Processing (NGLP) - NGLP uses advanced machine learning algorithms to analyze text and identify patterns and trends. This technology can be used for sentiment analysis, which can help identify the emotional tone of a document and its relevance to a particular case or matter.
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AI is a powerful technology that can improve document review in many ways. By using AI to prioritize relevant documents, batch them for review by teams, and continuously learn and improve from the review process, you can work more efficiently and effectively. CAL, TAR, NGLP, and sentiment analysis are all important tools that can be used to improve the accuracy and efficiency of document review.
If you're interested in learning more about how AI can improve your document review process, please contact us today.
