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Description
OpenText™ Lens™ is a robust and intuitive cloud-based application designed to provide transparency into the data interactions among enterprise applications, connected systems, customers, suppliers, and trading partners. By utilizing Lens, businesses can acquire the insights necessary to track the health of their processes against key performance indicators, enabling rapid responses to significant events and enhancing overall productivity. This tool ensures that insights related to integrated data flows are readily available to business users, allowing for an extended visibility that goes beyond the IT department. Users are treated to a top-tier experience, personalized through features like notifications, alerts, reporting, and collaboration tools. All data flows processed on the OpenText™ Trading Grid™ platform can be viewed in a unified interface, facilitating a comprehensive understanding of operations. This full visibility into various integration flows provides detailed insights into business processes in near real-time, empowering organizations to leverage data-driven insights for agile management. Moreover, by proactively addressing unforeseen challenges and mitigating risks, businesses can maintain their operational integrity and drive success. Ultimately, OpenText™ Lens™ serves as an essential tool for organizations looking to enhance their data visibility and operational efficiency.
Description
OpenText eDiscovery offers a fully integrated solution that empowers legal teams to manage the entire e-discovery lifecycle with speed and precision using cutting-edge AI and analytics. By leveraging machine learning and generative AI technologies, the platform prioritizes likely relevant documents, drastically cutting down on the volume that requires manual review and improving accuracy. It efficiently collects data from over 45 sources, including ECM systems, emails, and cloud repositories, while automating personal data protection through advanced redaction capabilities. Early case assessment tools provide actionable insights early in the legal process, enabling faster case strategies. Users benefit from comprehensive analytics, such as sentiment analysis and entity recognition, powered by OpenText’s proprietary AI. Deployment flexibility allows organizations to choose from on-premises, public or private cloud, or hybrid models, accommodating varied data security needs. The platform also integrates seamlessly with case management systems, ensuring smooth production and review workflows. Additionally, expert professional services help accelerate projects and ensure optimized outcomes across all stages of e-discovery.
API Access
Has API
API Access
Has API
Integrations
Microsoft 365
Microsoft SharePoint
OpenText B2B Integration Foundation
OpenText Magellan
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Salesforce
Integrations
Microsoft 365
Microsoft SharePoint
OpenText B2B Integration Foundation
OpenText Magellan
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Salesforce
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
OpenText
Country
United States
Website
www.opentext.com/products/lens-data-visibility
Vendor Details
Company Name
OpenText
Founded
1991
Country
Canada
Website
www.opentext.com/products/ediscovery
Product Features
Product Features
eDiscovery
Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering