Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Discovery Assistant is tailored for professionals in litigation support, enabling them to efficiently capture, search, and handle electronic documents on Windows systems. With the capability to swiftly sift through millions of native files, scanned documents, emails, and their attachments, users can easily locate pertinent information. The application allows for processed documents to be exported in their native formats or as TIFF or PDF images, including hidden metadata and text, compatible with top-tier case management review systems. It can transform vast amounts of emails, electronic files, and scanned images into TIFF or PDF formats while simultaneously extracting valuable metadata and text. The software meticulously tracks each document, upholding parent-child relationships, providing a comprehensive audit trail, and offering robust reporting tools. Featuring an intuitive tabbed interface, users can drill down into details seamlessly. Designed for immediate use, it boasts a straightforward installation process, making it both user-friendly and efficient for legal professionals. Additionally, the software's versatility ensures it meets a wide range of documentation needs in various legal contexts.
Description
An innovative and flexible platform designed for text analysis and exploration, it caters to the most rigorous demands of text analytics applications while ensuring high precision and rapid performance. This versatile system serves as an excellent foundation for various natural language processing uses. It incorporates essential text analytics methods to prepare data for in-depth examination. With specialized tools tailored for different languages, it facilitates tasks such as tokenization, part-of-speech tagging, lemmatization, and even offers support for Chinese and Japanese readings. Each language, including English, poses its own unique challenges for search technologies to yield relevant and accurate outcomes. Rosette® Base Linguistics (RBL) empowers enterprise solutions to proficiently search or analyze text across multiple languages by offering a comprehensive suite of linguistic services. By enriching the original text in its native tongue, RBL enhances both the speed and precision of natural language processing, ultimately leading to superior results. This comprehensive approach ensures that users can navigate complex linguistic landscapes with confidence and ease.
API Access
Has API
No
API Access
Has API
No
Integrations
Quickwork
No
TAS Insight Engine
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
ImageMAKER Development
Founded
1990
Country
Canada
Website
www.discoveryassistant.com
Vendor Details
Company Name
Basis Technology
Country
United States
Website
www.basistech.com
Product Features
eDiscovery
Case Analytics
No
Compliance Management
Yes
Discussion Threads
Yes
Document Indexing
Yes
Document Tracking
Yes
Full Text Extraction
Yes
Keyword Search
Yes
Metadata Extraction
Yes
Topic Clustering
Yes
Product Features
eDiscovery
Case Analytics
No
Compliance Management
No
Discussion Threads
No
Document Indexing
No
Document Tracking
No
Full Text Extraction
Yes
Keyword Search
Yes
Metadata Extraction
No
Topic Clustering
No
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
No
Predictive Modeling
No
Sentiment Analysis
No
Summarization
No
Tagging
No
Taxonomy Classification
No
Text Analysis
No
Topic Clustering
No