Artificial intelligence (AI) is having a major impact on the legal industry, and document review is no exception. AI-powered tools can help attorneys to review documents more quickly and accurately, freeing up their time to focus on more strategic tasks. Some of the major ways that AI is impacting document review are: automation of certain tasks, improving accuracy of review decisions and providing insights into unknown document review populations.
Automation of Tasks
Namely, AI is automating tasks in document review by taking over the repetitive and time-consuming tasks that are currently performed by human reviewers. AI can automate many of the tasks associated with document review, such as data extraction (names, addresses, dates, and numbers) keyword tagging, redaction (privacy, other projects, and trade secret protections) and classification (organize documents into distinct categories for quick access). All of these can save a significant amount of time and effort to reduce the costs of document review.
AI can also help to improve the accuracy of the document review process by identifying relevant documents that might otherwise be missed by human reviewers. This can help to ensure that attorneys are not missing any important information. Machine learning algorithms, like those used for Predictive Coding and Active Learning, can be used to train AI systems to identify patterns in data and help reviewers find relevant documents. Natural language processing (NLP) can be used to extract information from documents, such as key terms and concepts, and to identify relationships between entities. Both of these AI tools can speed up review and improve accuracy by showing documents to reviewers in more interesting ways and in a more common-sense, topic-related way.
AI can provide attorneys with useful insights that they might not be able to see on their own. For example, AI can be used to identify trends in data or to find patterns that might be relevant to a particular case.
Additionally, AI can be used to identify key terms and concepts that exist within and across documents. This can help review teams to quickly identify the most relevant documents. Another use of AI is to find patterns and trends in document sets, helping identify important information that might not be immediately obvious otherwise. The ability to compare documents can also be helpful to perform fact development or to find inconsistencies or discrepancies in the data.
New tools like ChatGPT and Bard can even take it a step further and help generate summaries of documents, which can help reviewers more quickly understand the content of a document set and the need for further review.
AI continues to change the way that legal work is being done, and it’s helping the MSMR team at TCDI to be more efficient, effective, and accurate across the board. We continue to collaborate with our development team, as well as with our partners, to create innovative workflows and new tools that integrate the best of the human mind with the ‘brains’ of AI software.