Kelly Atherton discusses how TAR works & why it matters for legal professionals
- Technology-assisted review tools can support legal professionals in achieving significant time and cost savings.
Technology-assisted review (TAR), an algorithm-based method of classifying documents based on coding input from case subject matter experts (SME), is a powerful tool that can save time and significantly cut costs by reducing the amount of human review needed to locate relevant documents in a data set.
The adoption of TAR is no longer the exclusive domain of large law firms and Fortune 500 companies. The technology is accessible to mid-size and independent legal practices. However, fear surrounding how this technology works and a lack of understanding of how such technologies can be integrated within existing review workflows is still creating a barrier to adoption for some legal professionals.
How TAR works
TAR, also known as predictive coding, computer-assisted review, or supervised machine learning, is an iterative and interactive process between the SME(s) and the TAR software. The SME reviews and codes electronically stored documents as
