What is Lexiti?

Making the creation of robust cases easy and accessible for everyone is essential. Thanks to advanced processing capabilities, users can effortlessly upload and retrieve vital information from a variety of file formats, all within a thoughtfully designed platform that offers competitive and inclusive pricing. With Lexiti's rapid uploader, users can conduct bulk uploads, allowing for the swift processing of nearly all data types. The system adeptly handles thousands of documents, efficiently detecting duplicates, scanning for malware, and employing optical character recognition to improve data accessibility. You can create intricate and detailed search queries to delve into your document collection and receive instant results. Additionally, it allows users to tag their searches, save configurations, and export findings for more thorough analysis. Utilizing user-friendly AI features, you can expedite your review processes without losing your personal approach to the work at hand. This efficient method not only enhances productivity but also encourages users to take charge of their cases with increased assurance and effectiveness. Ultimately, the combination of innovative technology and user-centric design leads to a more streamlined legal practice.

Screenshots and Video

Lexiti Screenshot 1

Company Facts

Company Name:
Safelink
Date Founded:
2013
Company Location:
United Kingdom
Company Website:
safelinkhub.com/lexiti-ediscovery

Product Details

Deployment
SaaS
Training Options
Documentation Hub
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

Lexiti Categories and Features

eDiscovery Software

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