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 Transition away from outdated "lift and shift" legacy systems while retaining control over your data ingestion, all accompanied by essential support.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.
Integrations
No integrations listed.
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Company Facts
Company Name:
Servient
Date Founded:
2013
Company Location:
United States
Company Website:
www.servient.com
Product Details
Deployment
SaaS
Training Options
Documentation Hub
Online Training
Webinars
On-Site Training
Support
Standard Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English
Servient Categories and Features
eDiscovery Software
Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering