
About
Connect with top legal professionals in your city using AI-powered search. Manage your cases, share documents, and receive real-time updates from your lawyer, all from your phone.
What's New in LegalKart
2.0.51
August 2, 2026
- Completely redesigned app with a modern and intuitive user interface. - Faster performance and smoother navigation throughout the app. - You can now view a lawyer's profile, check their performance, and call them directly from the app. - Improved user experience across all major features and workflows. - Enhanced security, stability, and reliability. - Optimized app performance and reduced loading times. - Bug fixes and overall performance improvements.
MoreUser reviews
FAQ
How does LegalKart help me find a lawyer?
LegalKart uses Artificial Intelligence to analyze your legal matter, whether you speak or write it, and then identifies the best-suited legal professionals in your city from its network of over 3500 lawyers.
Can I manage my ongoing cases with LegalKart?
Yes, LegalKart allows you to manage your running cases from anywhere in the country. You can share documents, chat with your lawyer, and get real-time case updates directly within the app.
What types of legal issues does LegalKart cover?
LegalKart covers a wide range of legal issues including divorce, child custody, real estate disputes, criminal matters, personal injury, immigration, business documents, employment law, and cheque bounce cases.
Is LegalKart available on all devices?
Based on the provided data, LegalKart is supported on iPhone, iPad, and iPod devices.
What is the age rating for LegalKart?
LegalKart has an age rating of 4+, making it suitable for a broad audience.
How often is LegalKart updated?
The latest version of LegalKart is 2.0.48, and it was last updated on December 4, 2025, indicating regular updates.
Does LegalKart have ads?
No, the application data indicates that LegalKart does not contain advertisements.
What is the user rating for LegalKart?
LegalKart has a rating of 2.0 stars from 1 rating, suggesting a mixed or negative user reception based on the limited feedback available.





