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Description
Mike, available at mikeoss.com, is an innovative open-source legal AI platform that serves as a viable alternative to proprietary options such as Harvey or Legora, empowering law firms with complete oversight of their AI processes, data handling, and underlying architecture. The platform features a chat-based assistant that is adept at comprehensively reading, analyzing legal documents, pinpointing specific citations, and executing complex workflows for drafting, reviewing, and editing contracts from start to finish. Central to its design are "projects," which function as dedicated workspaces for various legal matters, allowing users to upload extensive collections of documents—including agreements, leases, and due diligence files—while preserving the conversational context throughout all uploaded materials. A standout aspect of the platform is its tabular review system, which enables users to extract structured information from numerous documents at once using a spreadsheet-like format, ensuring that each output is linked to a specific page and citation to prevent inaccuracies. Additionally, it offers the ability to save and reuse workflows, allowing teams to streamline their processes and improve efficiency. Overall, Mike represents a significant advancement in legal technology, combining user control with powerful AI capabilities.
Description
Skimle revolutionizes the way unstructured qualitative data is converted into structured, analyzable datasets through the use of artificial intelligence. In contrast to RAG chatbots that simply retrieve isolated excerpts, Skimle meticulously processes complete sets of documents from the outset—examining each segment, gathering insights, and categorizing them within a structured hierarchy of themes.
You can upload various formats of qualitative data such as interview transcripts, PDFs, audio or video files, and reports. The workflow that Skimle employs, which draws inspiration from scholarly thematic analysis, systematically codes every passage, uncovers recurring patterns, and compiles a comprehensive "spreadsheet" where documents are organized as rows and themes as columns. Each insight is directly tied to verified quotes, ensuring accuracy without any fabrication.
Supporting over 100 languages and capable of handling more than 1,000 documents per project, Skimle is fully compliant with GDPR regulations applicable in the EU, providing complete traceability between themes and quotes. Users can also enjoy features such as customizable categories, AI-driven chat for reasoning, and options to export findings into Word, Excel, or PowerPoint formats.
What sets Skimle apart is its ability to merge the rigorous standards of academic research with the rapid processing capabilities of AI. Tasks that traditionally consume weeks when using NVivo or other conventional tools can be completed in mere hours with Skimle, all while maintaining detailed audit trails essential for peer review and validation. This efficiency not only saves time but enhances the overall research experience, making qualitative analysis more accessible and streamlined than ever before.
API Access
Has API
Yes
API Access
Has API
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$0
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Mike
Country
United States
Website
mikeoss.com
Vendor Details
Company Name
Skimle
Founded
2025
Country
Finland
Website
www.skimle.com
Product Features
Product Features
Qualitative Data Analysis
Annotations
No
Collaboration
Yes
Data Visualization
Yes
Media Analytics
No
Mixed Methods Research
No
Multi-Language
Yes
Qualitative Comparative Analysis
Yes
Quantitative Content Analysis
No
Sentiment Analysis
Yes
Statistical Analysis
No
Text Analytics
Yes
User Research Analysis
Yes
