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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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.

Description

Introducing a user-friendly interface that retains robust machine learning capabilities, Servient swiftly hones in on critical evidence to derive insights for automating legal applications. It offers comprehensive functionality from data upload to production, effectively optimizing the eDiscovery workflow. With self-service ingestion and integrated active machine learning, Servient accelerates the eDiscovery experience. This platform merges natural language processing with sophisticated machine learning techniques, granting unparalleled flexibility and power for legal automation. Designed to operate in the cloud, it takes advantage of scalable resources, improved security measures, and cost efficiency. Depart from outdated "lift and shift" legacy systems by retaining control over your data ingestion process, all while receiving the necessary support. Servient encompasses all essential eDiscovery functionalities within a unified solution, ensuring that advanced data science is seamlessly incorporated into an easy-to-navigate interface. This innovative approach not only enhances efficiency but also empowers users to manage their legal data with confidence.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft 365
Microsoft SharePoint
OpenText Magellan
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Salesforce

Integrations

Microsoft 365
Microsoft SharePoint
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

Founded

1991

Country

Canada

Website

www.opentext.com/products/ediscovery

Vendor Details

Company Name

Servient

Founded

2013

Country

United States

Website

www.servient.com

Product Features

eDiscovery

Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering

Product Features

eDiscovery

Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering

Alternatives

Alternatives