New Delhi [India], March 13: In just one month, Atomesus AI has crossed 1.1 million active users, with the same number of new users joining the platform within the same period. For a young AI platform still expanding its ecosystem, that kind of growth isn’t just impressive — it’s a signal that something meaningful is happening.

Behind the scenes, the data reveals more than just sign-ups. It shows behaviour. Engagement. Curiosity. People actually using the product.

And that’s where the real story begins.

A Million Users — and They’re Not Just Visiting

According to the latest analytics snapshot from the platform’s dashboard:

  • Active users: 1.1 million
  • New users: 1.1 million
  • Average engagement time: 7 minutes 11 seconds
  • Total events recorded: 7.5 million

An average engagement time of over seven minutes is particularly notable in the AI product space. Many platforms struggle to hold attention for even half that time.

Seven minutes means users are not just opening the app out of curiosity.

They are interacting, testing features, asking questions, studying, and exploring AI workflows.

In other words, this is usage — not just traffic.

The Page That’s Driving the Surge

The main Atomesus platform page alone generated:

  • 3.1 million views
  • 1 million active users
  • 7 million recorded interactions

Even more interesting is the bounce rate of just 21.8% on the main product page.

For context, most technology platforms see bounce rates between 40-60%.

Dropping below 25% suggests users are sticking around and moving deeper into the product, rather than leaving after a quick glance.

That kind of engagement usually happens when users quickly understand what a product does — and want to try it.

Login Activity Shows Strong Returning Usage

Another important signal appears in the login data.

The Login page recorded over 130,000 views with a bounce rate of just 2.9%, meaning nearly everyone who lands there continues into the product.

Low bounce on login pages is a classic indicator of returning users, not one-time visitors.

In short:

People are coming back.

And they’re doing it consistently.

The Growth Engine: Curiosity Around AI Learning

A big portion of the platform’s interaction appears to be centred around AI-assisted learning, study tools, and exam preparation.

The analytics dashboard also highlights traffic to pages connected with sign-ups and learning features, including:

  • Sign-up flows
  • Teacher dashboard tools
  • AI learning interfaces
  • Educational exploration pages

With over 7.5 million recorded events in a single month, users are clearly interacting with features — clicking, generating responses, navigating tools, and experimenting with AI capabilities.

This suggests the platform is evolving into more than a chatbot.

It’s becoming a daily-use AI workspace for students and knowledge workers.

Early Signals of Product-Market Fit

Startups often chase a single metric: product-market fit.

It’s the moment when users don’t just try a product — they start depending on it.

The early analytics from Atomesus hint that the platform may be approaching that stage.

Three signals stand out:

1. Rapid user acquisition

1.1 million users in a month is not organic drift. It suggests strong word-of-mouth and curiosity.

2. Deep engagement

A 7-minute average session means users are actually spending time interacting with the system.

High feature interaction

7.5 million events indicate the product isn’t static — people are actively exploring its capabilities.

Together, these signals point toward a platform that is starting to stick.

A Bigger Story: India’s AI Wave

The rise of Atomesus also fits into a broader trend.

India is currently witnessing an explosion of AI adoption across students, developers, creators, and startups. With millions of new internet users entering the digital economy each year, demand for accessible AI tools built for local users is rising rapidly.

Platforms that combine learning, productivity, and AI assistance are positioned to benefit from this shift.

Atomesus appears to be tapping directly into that wave.

What Comes Next

The real challenge begins after the first million users.

The next phase for the platform will likely focus on:

  • Expanding AI capabilities
  • Improving learning and productivity tools
  • Increasing retention and daily active usage
  • Building a larger ecosystem around the platform

If the current trajectory continues, the next milestone could arrive quickly.

Because in the AI world, growth doesn’t usually move in straight lines.

It moves in explosions.

And right now, the numbers suggest that Atomesus may just be getting started.

Visit: www.atomesus.com

New Delhi [India], June 2: At Manupatra, we have been at the forefront of technological innovation in the Indian legal landscape. Our continuous interactions with legal professionals and law students have given us first-hand feedback on the legal trends and technologies that have a direct impact on the Indian legal landscape.

Over the past couple of years, AI has permeated the daily lives of people, affecting both personal and professional spaces. In the legal arena, AI-powered tools have demonstrated clear benefits for legal professionals, from streamlining research, assisted drafting, and making case/ contract management easier. However, this has not been without incidents with lawyers and judges alike being found to have cited fabricated cases hallucinated by AI.

At Manupatra, we see the immense potential AI carries in being used for legal tasks. As such, we conducted a “first of its kind” nationwide survey to gauge the scale and state of artificial intelligence adoption across India’s legal landscape. This survey has captured firsthand insights from legal professionals and students to identify the critical gaps that must be addressed to ensure AI’s responsible, ethical, and effective deployment. Understanding these dynamics is essential, not only to inform policymakers and industry leaders but also to empower the legal community with best practices and risk mitigation strategies.

Manupatra is releasing its comprehensive “Adoption of AI in the Indian Legal Landscape” survey report. The survey gathered insights from 227 law students, advocates, in-house counsel, firm partners, academics, and judicial officers across India.

Key Findings:

  • Digital-Native Demographic: 60% of respondents are aged 18-34, with law students (36.6%) and advocates (23.8%) leading participation, signaling strong grassroots readiness for AI experimentation.
  • Widespread Early Adoption: Nearly 60% have used AI tools in the past year for legal research (77.9%), summarization (65.7%), and drafting support (54.7%).
  • Productivity Gains vs. Trust Deficit: While 79.7% report significant time savings on repetitive tasks, only 4.1% fully trust AI outputs without human verification, and 48.8% insist on review before use.
  • Critical Barriers: Over half (58.1%) cite unreliable output quality, 51.2% point to hallucinated or incorrect content, and 42.4% lament lack of India-specific legal context in existing tools.
  • Governance Shortfalls: Although 77.1% believe firms should disclose AI use in advice and filings, just 11% have formal written AI policies in place.

Key Challenges Identified

  • Unreliable Output Quality (58.14%): Over half of respondents flagged inconsistent accuracy and “hallucinated” content as top pain points when using AI tools.
  • Data Privacy & Security (47.67%): Nearly half of users worry about protecting client information and complying with confidentiality obligations.
  • Lack of India-Specific Legal Context (42.44%): AI models trained on global data often misinterpret or omit nuances of Indian statutes and precedents.
  • Ethical & Professional Responsibility Concerns (38.37%): Professionals expressed unease about liability, bias, and the ethical use of AI in client work.
  • Training Gaps & Awareness (40.12% & 34.30%): A significant portion cite limited staff training and low awareness of available tools as adoption barriers.

User Expectations & Future Outlook

  • Mainstream Adoption Timeline: 35.68% expect AI to become a standard legal tool within 1-2 years, with only 3.96% believing it will take beyond five years.
  • Positive Sentiment with Caution: While 46.25% hold a “mostly positive” view of AI’s impact and 18.06% see it as “transformative,” 45.37% adopt a balanced stance, recognizing both benefits and risks.
  • Demand for Enablers: Respondents prioritize accredited training (67.40%), freemium or trial access to tools (66.52%), and formal policy guidance from bar councils or courts (47.58%) to bridge gaps and build trust.
  • Co-pilot over Replacement: The prevailing expectation is that AI will augment the legal mind by streamlining research and drafting while final judgment will remain firmly human.

About Manupatra

Manupatra is the leading provider of legal, regulatory, business information and analytics that helps subscribers navigate the law faster and smarter. Manupatra is the first legal-tech company in India which pioneered online legal research in India since 2000. It is the largest and most comprehensive database of Indian & International legal materials, which provides search capabilities powered by AI and ML. A perfect blend of law and technology, Lawyers, law firms, judiciary, government, corporate legal departments, students trust Manupatra to provide them with comprehensive access to the law through an intuitive platform.