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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The challenges posed by modern litigation, investigations, and compliance demands necessitate sophisticated tools that can reduce costs and risks while enhancing the likelihood of success. The OpenText™ Insight eDiscovery platform is specifically designed to expedite document review projects, regardless of their scale. Packed with features that automate the review process, Insight not only reduces expenses but also aids in the swift identification of critical data. These eDiscovery platforms play a crucial role in assisting legal teams to locate, analyze, review, classify, and produce electronically stored information (ESI) pertinent to various legal matters, including litigation and regulatory compliance. By leveraging advanced machine learning and data analytics, they effectively lower review costs, decrease data volumes, boost efficiency, and facilitate quicker access to essential information. The platform’s remarkable search capabilities enable rapid reviews, even for intricate field and text queries across vast document collections, with complex searches executing in mere seconds. As a result, legal teams can ensure that they are well-equipped to handle the growing complexity of legal data requirements.

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 Depart from outdated "lift and shift" legacy systems by retaining control over your data ingestion process, all while receiving the necessary support.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
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Salesforce

Integrations

Microsoft 365
Microsoft SharePoint
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-and-solutions/products/discovery/ediscovery/insight

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

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