Combining Lawyers with Technology-Assisted Review
As the legal industry continues to evolve, there is growing recognition of the benefits that technology can bring to the practice of law. One area where technology has proven particularly useful is in the field of technology-assisted review (TAR). By combining the skills of lawyers with the power of TAR tools, legal teams can significantly increase their efficiency and accuracy when reviewing large volumes of electronic documents.
What Is Technology-Assisted Review?
Technology-assisted review (TAR), also known as predictive coding, is a process that uses advanced software algorithms to identify relevant documents within a larger dataset. The process begins with a human reviewer coding a small sample of documents as either responsive or not responsive to the document requests in a case. The software then analyzes these coding decisions to identify patterns and develop a predictive model for identifying relevant documents.
Integrating TAR and Document Review Teams
Once the predictive model is developed, the software can then apply it to the larger dataset, identifying documents as either likely responsive, likely not responsive, or unable to be determined. The model will also provide information on the expected degree of accuracy.
The review team leader and managing attorneys can then use this information to determine what additional human review steps are needed in order to ensure that all likely responsive documents are identified and that the other case objectives (such as identifying documents of particular importance to the case) are met. This process is much faster and more efficient than traditional manual document review methods.
Benefits of Combining Lawyers and TAR
When lawyers and technology-assisted review tools work together, they can achieve a number of benefits, including:
- Increased efficiency: One of the primary benefits of TAR is that it can significantly reduce the time and resources required to review large volumes of electronic documents. As the amount of data collected forlitigation continues to rise significantly, this efficiency is extremely important to being able to handle document requests in a timely manner. By leveraging the power of predictive coding algorithms, legal teams can quickly identify relevant documents and prioritize their review efforts.
- Improved accuracy: TAR tools are designed to learn from the coding decisions made by human reviewers, refining their predictive models over time to improve accuracy. As a result, the combination of lawyers and TAR can help ensure that relevant documents are identified with a high degree of accuracy.
- Cost savings: By reducing the time and resources required for document review, legal teams can achieve significant cost savings. This can be especially beneficial for clients who have large amounts of data and/or cases with broad or extensive document requests. When the cost benefits of TAR are combined with the additional cost efficiencies of using an outsourced document review team, the savings over traditional litigation document review can be substantial.
Baer Reed helps law firms and in-house counsel streamline technology-assisted review projects. Our team of attorneys provide thorough and efficient review services. Contact us today to learn more.
- On July 21, 2023
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