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What is Servient?

Servient introduces an intuitive interface that maintains strong machine learning capabilities, enabling users to quickly identify crucial evidence and generate insights for automating legal processes. It provides an all-encompassing range of functions from data upload to final production, significantly streamlining the eDiscovery workflow. With features like self-service ingestion and built-in active machine learning, Servient enhances the overall eDiscovery experience. This platform combines natural language processing with advanced machine learning methods, offering unmatched flexibility and strength for legal automation tasks. Operating in the cloud, it leverages scalable resources, bolsters security, and promotes cost-effectiveness. Transition away from outdated "lift and shift" legacy systems while retaining control over your data ingestion, all accompanied by essential support. Servient integrates all critical eDiscovery features into a single solution, ensuring that cutting-edge data science is effortlessly woven into a user-friendly interface. This forward-thinking approach not only boosts efficiency but also empowers users to manage their legal data confidently and effectively. By prioritizing seamless integration of technology, Servient sets a new standard in the legal automation landscape.

What is Reveal Data?

The landscape of eDiscovery and investigations is undergoing a swift transformation due to advancements in artificial intelligence. Collaborating with Brainspace, we have combined our efforts to create a platform that consistently incorporates cutting-edge developments in AI and machine learning. Reveal Review is recognized as the most comprehensive document review solution available, designed to tackle any legal challenge, regardless of its intricacy or scale. With so many tools at one's disposal to improve and simplify the review process, it is vital to utilize a review instrument that provides effortless capabilities for searching, filtering, and organizing documents, thus enabling effective management from batching to production. Our eDiscovery platform was crafted with our own requirements at the forefront, focusing on speed, efficiency, and user-friendliness, while also addressing common frustrations linked to alternative solutions. Moreover, Reveal clients gain immediate access to pre-trained AI models, which can be seamlessly integrated into their workflows, effectively minimizing the initial challenges faced during reactive litigation and investigations. By prioritizing innovation, we ensure that our users are consistently armed with the finest tools tailored to their legal needs, ultimately enhancing their overall experience. This dedication to continuous improvement not only enhances efficiency but also positions our users for success in an ever-evolving legal landscape.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Servient

Date Founded

2013

Company Location

United States

Company Website

www.servient.com

Company Facts

Organization Name

Reveal

Date Founded

2008

Company Location

United States

Company Website

www.revealdata.com

Categories and Features

AI Legal

Not specified

eDiscovery

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

Categories and Features

AI Legal

Not specified

Data Discovery

Contextual Search
Data Classification
False Positives Reduction
Self Service Data Preparation
Visual Analytics

eDiscovery

Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering

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