What is ISEEK?
ISEEK functions entirely in memory and is a patented automated tool capable of operating discreetly across numerous computer systems by executing a secure set of commands. The results produced by ISEEK are encrypted and sent to a specified location, which can be a local device, a network share, or cloud storage, as outlined in its directives. Furthermore, there are independent utilities designed for constructing the encrypted command set and for examining the processed encrypted results. Once ISEEK successfully locates the relevant data and reduces it for further scrutiny, it enables users to extract multiple containers of encrypted results into various formats, including options for XML metadata, which aids in integration with review tools. The formats provided include standard load files as well as those specifically customized for use with Relativity, thereby offering users a range of choices during the data review process. This functionality not only optimizes efficiency but also streamlines the overall workflow for data analysis, ensuring that users can effectively manage and interpret their data. Ultimately, ISEEK stands out as a powerful solution for enhancing data handling capabilities.
Pricing
Free Trial Offered?:
Yes
Integrations
No integrations listed.
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Company Facts
Company Name:
XtremeForensics
Date Founded:
2013
Company Location:
United States
Company Website:
www.xtremeforensics.com/iseekdiscovery-1
Product Details
Deployment
SaaS
Windows
Training Options
Documentation Hub
Online Training
Webinars
On-Site Training
Support
Standard Support
24 Hour 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
ISEEK Categories and Features
eDiscovery Software
Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering