The only automated reviewer review tool on the market today.
- The “Moneyball” of human review and reviewers
- Measures document review performance by utilizing analytics to evaluate the accuracy and effectiveness of the reviewers at any given point in time
SENTIO’s Illuminate – Reviewer QC
SENTIO’s Illuminate can measure document review performance by utilizing predictive coding and other machine learning techniques to evaluate the accuracy and effectiveness of the reviewers at any given point in time. It can also identify responsive documents that may have been missed by individual reviewers with enhanced detection of false positives and false negatives.
Trend Analysis to Identify the Outliers
SENTIO’s Illuminate – Reviewer Audit
Despite these significant cost and time saving benefits, SENTIO Software understands that some companies and law firms remain hesitant to trust a machine to accurately review massive numbers of documents and volumes of data. Among other things, attorneys cite the potential risks of failing to comply with discovery orders or inadvertently producing privileged information as the basis of their hesitation.
To help mitigate these risks, SENTIO’s Illuminate provides the managing attorney with the ability to monitor the decisions being made by reviewers in near real‐time to more effectively control a pool of document reviewers. Thus, the managing attorney is able to quickly identify issues and refine the review protocol in the early stages, before costly re‐review becomes necessary.
SENTIO’s Illuminate can objectively make an assessment of each of the reviewers by mathematically comparing their work to each other, and to the collective, to determine the quality of the reviewers’ performance. By making these assessments periodically throughout the review process, we can help the managing attorney track the reviewers’ progress to see if and when they need additional guidance, training, or even if they need to be removed from the reviewer pool entirely. Moreover, SENTIO’s Illuminate can identify responsive documents that may have been missed by individual reviewers.