Thomson Reuters Integrates Practical Law, 3E, Microsoft Teams with HighQ
Today Thomson Reuters introduced integrations with key Practical Law and 3E features, as well as Microsoft Teams®, on its industry-leading legal workflow platform HighQ. The integrations are part of ongoing improvements to help legal professionals strengthen collaboration, boost productivity and streamline work processes.
Integrating Practical Law allows users to visualize and customize the Corporate and Litigation Matter Maps within HighQ to better plan and execute legal work. By linking to relevant and up-to-date Practical Law content within each task, this feature helps legal professionals standardize processes, enabling better project planning and management and, in turn, improving service delivery.
“Allowing HighQ users to create customizable Matter Maps from Practical Law with one click provides the task support that law firms and corporate legal teams need to execute effectively as well as the guidance within those tasks,” said Chris Kitchener, vice president, Product Management for Thomson Reuters HighQ. “We’re applying technology to combine the power of Thomson Reuters editorial leadership with our workflow expertise – all to support our customers in strengthening their client service.”
Another strategic integration seamlessly incorporates key client data from 3E into HighQ’s visualization and workflow automation tools. This allows users to provide clients with real-time access to their work-in-progress and current spend, making it easier to monitor activity and stay informed on project status.
In addition, the Microsoft Teams integration allows users to share content from HighQ within Teams private chat or group channels, and upload files from Teams to HighQ. Users also can see the Teams presence of other users and message or call them from within HighQ, fostering better collaboration and communication between colleagues.
These integrations follow the launch of HighQ Contract Analysis, a contract review and analysis tool that uses machine learning and pre-trained models, as well as enhancements to legal project management and contract lifecycle management tools.