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features
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support

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Description

Cutting expenses, shortening review durations, and streamlining the eDiscovery process are essential goals for many organizations. Venio Systems offers eDiscovery solutions designed to help teams overcome common challenges associated with eDiscovery. Achieve a remarkable tenfold increase in efficiency through a single platform. Utilize automation and artificial intelligence (AI) to lessen the burden of manual tasks. This intuitive and budget-friendly software revolutionizes the eDiscovery experience, making it more efficient. Businesses, service providers, law firms, and government entities can all enhance their workflows by employing targeted technology. Take control of your eDiscovery efforts with a platform that incorporates established best practices and automation, facilitating easier implementation and minimizing the risk of data overload. Handle intricate investigations with a cohesive solution that guarantees precision and uniformity. Increase your market presence while decreasing costs thanks to the industry’s highest throughput, which exceeds 10TB per day. Rapidly discover critical evidence and implement a tiered review process to manage high volumes effectively. Ultimately, Venio Systems empowers teams to optimize their eDiscovery processes and achieve more effective outcomes.

Description

eDiscovery Assistant serves as a comprehensive legal research platform and resource hub tailored for attorneys and legal practitioners, providing access to curated case law, checklists, and forms. With the ability to streamline the search process, users can transform hours of searching for eDiscovery answers into just a few clicks. The platform eliminates the need for trial-and-error with search terms by incorporating exclusive eDiscovery issue tags. Users can also receive weekly updates on new rulings directly in their inboxes, allowing them to stay informed effortlessly. By offering essential checklists and forms for every eDiscovery procedure, the platform helps eliminate redundancy in legal practices. Given the ever-evolving landscape of regulations and case law, it can be quite difficult for legal professionals to keep abreast of the latest developments in eDiscovery. Designed by eDiscovery attorneys with a keen understanding of legal workflows, this resource is a meticulously organized database that allows users to quickly find answers to their queries on case law, rules, and specific eDiscovery issues. Imagine being able to predict a judge's ruling on a matter with just three simple clicks; that’s the efficiency eDiscovery Assistant aims to provide. This innovative tool not only saves time but also enhances the quality of legal research for its users.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Brainspace

Integrations

Brainspace

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

Venio Systems

Founded

2009

Country

United States

Website

www.veniosystems.com

Vendor Details

Company Name

eDiscovery Assistant

Founded

2016

Country

United States

Website

www.ediscoveryassistant.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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