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Average Ratings 0 Ratings
Description
Digital Reef's cutting-edge technology offers unmatched capabilities for processing Big Data, enabling legal teams to efficiently ingest, cull, analyze, and export information in the quickest and most dependable manner. By distilling complex, unstructured data into its critical components, you can systematically arrange documents according to their relevance, allowing for the cost-effective completion of discovery tasks even under the tightest deadlines. Utilize features such as de-nisting, deduplication, boolean search functions, and advanced analytics to streamline and categorize data sets for review purposes. Additionally, Pre-Review Analytics™ can be employed to further minimize the volume of data needing examination. You can either work within the user-friendly built-in interface or seamlessly export data to other review tools, and benefit from the ability to apply coding decisions made in previous cases to enhance efficiency. This innovative approach not only saves time but also improves the accuracy of legal reviews.
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
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
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
Digital Reef
Website
www.digitalreefinc.com
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