SDL announced its machine translation (MT) technology is now available through the Reynen Court LLC platform, enabling legal firms and departments to provision and deploy SDL Machine Translation to securely translate any type of legal document or file. The Reynen Court platform combines a content-rich solution store and a control panel that simplifies the process for law firms and legal departments to source, evaluate, deploy, monitor and manage legal technology applications. Platform users can employ a multicloud technology strategy that includes on-premises data centers and virtual private clouds under the platform user’s control without compromising informational security, environmental stability, and infrastructure control. The platform also allows users to manage software subscriptions and evaluate usage and consumption metrics from across its tech stack in one place, permitting them to optimize technological investment through the deployment of legal technology. Reynen Court was established with support from a consortium of 19 leading global law firms. The latest version of SDL Machine Translation goes beyond automatic translation and integrates with multiple platforms to power digital customer experience, eDiscovery, due diligence, contract review, analytics, internal communications and collaboration.
Day: June 8, 2020
IXIASOFT, a DITA CCMS software company, and Precision Content, a provider of structured authoring and content management expertise announce partnership to help customers with the required support to identify, understand, and effectively address their content challenges. IXIASOFT’s newly formed alliance with Precision Content creates new capabilities to benefit from microcontent structures by linking a standardized content authoring methodology with the IXIASOFT CCMS software. Precision Content’s team of technical communication professionals focuses on reengineering how content is authored to help businesses implement innovative, scalable, and sustainable solutions to plan, author, and publish high-value content.
