New Features Added to Viewpoint eDiscovery Software
Elite Discovery has researched and vetted technology and employs only the premier eDiscovery platforms available today. Elite leverages the Viewpoint eDiscovery Platform’s AI and machine learning to help legal teams efficiently and effectively manage electronically stored information found within various information and communication sources including email, chat, and structured and unstructured data repositories, including Microsoft Teams and other popular collaboration platforms.
Elite is committed to providing our clients with the best and latest legal technology to help reduce time and costs while improving review. The new and improved Viewpoint eDiscovery 7.5 platform has added capabilities to review data from Microsoft Teams, continuous active learning enhancements that save time by prioritizing documents for review, and the addition of named entity recognition.
Expanded Microsoft Teams Data Capture
With the rapid increase of remote work, the use of business communication tools like instant messaging have created a significantly larger pool of data and information in the workplace. Platforms like Microsoft Teams bring together instant communication through audio and video calls and increase productivity with file sharing, messaging and collaboration. This results in additional data sources that are rich with content and context, which litigators must include in eDiscovery to avoid sanctions or missing key details.
The launch of Viewpoint 7.5 adds the ability to process and display data from Microsoft Teams to the already robust list of instant message tools it supports including Slack, iChat, Skype, WhatsApp, Google Hangouts, and Bloomberg.
Expanded Continuous Active Learning
In many review processes, attorneys spend a significant amount of time reviewing documents that are not relevant. Viewpoint’s enhanced Continuous Active Learning (CAL) module, built with machine learning, analyzes and learns from the reviewer’s content tagging in real-time. Viewpoint then uses AI to quickly and strategically assign a relevancy value to each document from a large volume of documents. The overall result leads to relevant documents reviewed sooner which gives the case team more time to develop a review plan and case strategy.
The client-driven CAL enhancements include the flexibility to easily add new documents to an existing CAL review and the ability to share models between cases, so legal teams can capitalize on previous work products. Comprehensive CAL dashboards also leverage critical data to drive case team decisions on how to approach a large volume of documents while minimizing time and expenses for review.
Newly Added Named Entity Recognition
Data breach and cyber incident review teams can now quickly and efficiently create notification lists by automating identification of entities with the Viewpoint Entity Management System that uses Microsoft Azure’s Named Entity Recognition Service.