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Ratings and Reviews 0 Ratings
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What is PME Discovery?
PME is a sophisticated mobile data collection and web-based review platform that empowers teams to securely collect, organize, and analyze data from mobile devices without requiring physical access or complex hardware, prioritizing essential information while maintaining custodian confidentiality. With the PME Collect feature, this platform offers a remote automated tool that guides custodians through a structured workflow to capture diverse data types such as texts, call logs, and social media activities, effectively filtering out superfluous details prior to upload and ensuring secure transmission through encryption. Furthermore, PME Review provides a web-based interface designed for case management, enabling functionalities such as searching, tagging, commenting, redaction, and exporting in various formats. The system emphasizes strong security and governance by implementing encryption, user access controls, digital signatures, and customizable retention policies while also ensuring regional data localization to comply with regulatory requirements. By optimizing the data collection process, PME significantly improves the efficiency and integrity of managing sensitive information, making it an essential tool for organizations that prioritize data security and compliance. Ultimately, PME represents a crucial advancement in the realm of mobile data management, adapting to the evolving needs of modern data governance.
What is Digital Reef?
Digital Reef’s state-of-the-art technology provides unparalleled abilities for handling Big Data, allowing legal teams to effectively gather, filter, analyze, and export information in a swift and reliable way. By breaking down intricate, unstructured data into essential elements, it becomes possible to systematically organize documents based on their importance, facilitating the economical execution of discovery tasks even when facing stringent time constraints. Features such as de-nisting, deduplication, boolean search capabilities, and sophisticated analytics help in refining and organizing datasets for thorough examination. Moreover, Pre-Review Analytics™ can be utilized to significantly reduce the amount of data that requires scrutiny. Users can take advantage of the intuitive built-in interface or effortlessly transfer data to other review platforms, gaining the added benefit of implementing coding decisions from prior cases to boost productivity. This forward-thinking strategy not only accelerates the process but also enhances the precision of legal reviews, ultimately benefiting the overall workflow. As legal professionals navigate the complexities of discovery, harnessing such technology becomes essential for maintaining competitiveness in the field.
Integrations Supported
LINE
Viber
WeChat
WhatsApp
iMessage
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour 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
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
PME Discovery
Company Location
United States
Company Website
www.pme-discovery.com
Company Facts
Organization Name
Digital Reef
Company Website
www.digitalreefinc.com
Categories and Features
eDiscovery
Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering
Categories and Features
eDiscovery
Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering