Arca
6.3#19 in ai legal research softwareWeb
VisitArca vs Manupatra AI Search
Manupatra AI Search
6.9#2 in ai legal research softwareFrom ₹5,000 a yearAndroidiOSWebWindows
VisitWhat both publish
| Fact | Arca | Manupatra AI Search |
|---|---|---|
| Headquarters | Arca’s own pages list 205 W 28th St, New York, NY 10001. | Noida, Uttar Pradesh, India |
| Integrations | The site names Word, Slack, Outlook, and Salesforce as enterprise integrations. | The product brochure lists integrations for Outlook, Word, and Notepad. |
| Intended users | The terms say the services are intended for businesses and professionals. | Manupatra says it serves legal professionals, law firms, individual practitioners, in-house legal departments, academic institutions, government bodies, students, researchers, and educators. |
| Security | Arca states that it is SOC 2 Type II certified and GDPR compliant. | The privacy policy lists encryption technologies, secure servers and firewalls, access controls, and employee confidentiality agreements and training among its safeguards. |
| Support | Arca says enterprise deployments include dedicated support and offers demo contact through [email protected]. | Manupatra lists toll-free support at 1-800-103-3550 and phone support at +91-120-4014524. |
Arca plans
- 14-day free trialFree
- Paid subscriptionPriced on request
Manupatra AI Search plans
- High Court Judgments AI Summary₹5,000 a year
- Supreme Court Judgments AI Summary₹5,000 a year
- Supreme Court + High Court AI Summary₹10,000 a year
- AI Wallet₹12,000, paid once
Pick Arca if…
Arca suits businesses and professionals handling legal research, contracts, intake, or compliance workflows. Its terms state that the service is intended for businesses and professionals.
Pick Manupatra AI Search if…
Manupatra AI Search is aimed at legal professionals, law firms, practitioners, in-house legal teams, academic institutions, government bodies, students, researchers, and educators. It may suit people researching Indian and international legal material through natural-language queries.