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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Junto serves as a cost-effective and robust alternative to pricey E-discovery solutions. This cutting-edge web application caters to professionals in law, business, and government by offering a user-friendly and budget-friendly option for the secure review, search, and organization of extensive discovery data. Being a cloud-based platform, it allows users to access information from any location around the globe. Additionally, Junto's user-friendly interface significantly reduces the time spent navigating the system and enhances team collaboration effortlessly. Explore Junto now and begin transforming your data into impactful outcomes. Developed and maintained by Cornerstone Discovery, Junto is a proprietary E-discovery web application tailored to assist paralegals, solo attorneys, law firms, investigators, and lead counsel in the processing, reviewing, analyzing, and producing of large volumes of discovery data. This highly efficient web application is designed to boost your productivity and streamline your workflow. With Junto, you can harness the power of technology to improve your legal processes.

Description

Ediscovery has significantly evolved over its brief existence, with KLDiscovery leading the charge in delivering optimal solutions and tools to help clients minimize expenses while quickly accessing pertinent information. They present a comprehensive suite of eDiscovery analytics tools paired with extensive human expertise, ensuring that clients maximize the benefits of their chosen solutions. Failing to implement eDiscovery analytics puts organizations at a heightened risk of incurring higher legal expenses and overlooking essential documents. KLD Analytics, crafted through the collaboration of data scientists, software engineers, and legal experts, stands out as the most sophisticated toolkit available today. It enables users to rank and categorize documents with exceptional precision using machine learning technologies. Furthermore, the system automates the routing and distribution of documents, thereby enhancing the efficiency of the review process. It allows for determining the connections between messages and identifying those that are most comprehensive. By recognizing and clustering similar records, it emphasizes the subtle distinctions, facilitating a quicker review turnaround. Overall, leveraging these advanced analytics can transform the eDiscovery process into a more effective and cost-efficient endeavor.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AD Enterprise
Cellebrite
E3:Universal
Hitachi Data Protection as a Service
Microsoft 365
Microsoft Azure
Relativity

Integrations

AD Enterprise
Cellebrite
E3:Universal
Hitachi Data Protection as a Service
Microsoft 365
Microsoft Azure
Relativity

Pricing Details

$400 per month
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

Junto

Country

United States

Website

junto.net

Vendor Details

Company Name

KLDiscovery

Country

United States

Website

www.kldiscovery.com/solutions/ediscovery-analytics

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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