What is eDCaseMAN?

BRITE provides an all-inclusive platform designed for real-time monitoring and management of ongoing legal cases, specifically aimed at enhancing attorneys' visibility. Our user-friendly dashboards reduce the need for excessive phone calls and emails, thereby optimizing communication. Additionally, eDCaseMAN guarantees secure, real-time chain-of-custody reporting for data, whether it pertains to a single custodian or spans various matters, all while keeping information protected behind a firewall. Clients gain the ability to closely monitor the management of their data once it has been shared with external providers and law firms, allowing for thorough tracking of document status—whether they are tagged, submitted, or withheld from production. Furthermore, the system supports the reuse of previously tagged and monitored data in future legal matters, aiding in consistent document decision-making and significantly cutting costs related to reassessing past files. By merging these functionalities, BRITE not only enhances the efficiency of the legal workflow but also fosters a higher level of trust in the data management process. This comprehensive approach ultimately contributes to improved outcomes for legal professionals and their clients alike.

Integrations

No integrations listed.

Screenshots and Video

eDCaseMAN Screenshot 1

Company Facts

Company Name:
BRITE
Date Founded:
2015
Company Location:
United States
Company Website:
britediscovery.com/edcaseman

Product Details

Deployment
SaaS
Training Options
Documentation Hub
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

eDCaseMAN Categories and Features

eDiscovery Software

Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering