GoldFynch Reviews & Ratings

GoldFynch

5.0 out of 5 stars

Ratings and Reviews 2 Ratings

Total 5 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 4 out of 5 stars
support 5 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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What is GoldFynch?

GoldFynch is a cloud-based eDiscovery platform that is recognized for its straightforward, honest, and budget-friendly pricing model. Its user-friendly yet robust toolkit, along with an efficient workflow, further enhances its appeal. Users can quickly sign up, set up their cases, and begin their review process within minutes. The flexibility to close or expand cases at any time, without any long-term obligations, is a significant advantage. The pricing structure is based on the volume of cases and is prorated, with no charges for uploads, data processing, or productions, allowing for easy cancellation whenever needed. Additionally, it enables collaboration with an unlimited number of users for free, allowing for secure and direct exchange of productions. The interface is built for convenience, allowing users to start reviewing and analyzing documents almost immediately, as it operates directly in a web browser without requiring any downloads or installations. Key features include drag-and-drop uploads, automatic OCR and processing, a powerful search engine, deduplication capabilities, a comprehensive tagging system, and an integrated document viewer, among others, making it a versatile tool for legal professionals.

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.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Pricing Information

$27/3GB case volume/month
Free trial available, prorated pricing based solely on case plan volume. Scale and close cases at any time. No lock in periods or sales calls.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Mazira LLC

Date Founded

2016

Company Location

United States

Company Website

goldfynch.com

Company Facts

Organization Name

Digital Reef

Company Website

www.digitalreefinc.com

Categories and Features

eDiscovery

Case Analytics
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction

Categories and Features

eDiscovery

Case Analytics
Compliance Management
Document Indexing
Document Tracking
Keyword Search
Metadata Extraction

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