As featured in The Hans India, our co-founder Amit Shukla said something that sits at the core of everything we build. India cannot become a developed nation at the current pace of justice delivery. 50 million pending cases. Average delays of 15 years for complex disputes. Legal notices that go unanswered because the recipient cannot parse the language. Rights that go unclaimed because accessing them costs more than the claim is worth. This is not a legal problem. It is an economic and sovereignty problem. At Simpler Today AI, we are not building another SaaS platform. We are building an indigenous AI-first approach to law designed specifically for the Indian context. From responding to legal notices to navigating fraud and property disputes, the goal is the same across every use case. Antyodaya in justice. The system must work for the last person in the line. 1.4 billion citizens and small businesses cannot wait for legal support to become affordable by accident. We are making it affordable by design. Sovereignty matters. The AI powering Indian justice must be built in India, for India. Read the full article here: thehansindia.com/karnataka/e… #LegalTech #JusticeDelivery #IndigenousAI #SimplerToday #Antyodaya #BNS #TechForJustice #AccessToJustice #LegalStrategy

Grateful to @TheHansIndia for this feature. Why build again after EasyGov? India still has 30% exclusion error in social protection. The last person is still waiting. Grassroots governance. Accessible justice. Indigenous AI. Antyodaya is not a scheme. It is a design principle. @simplertodayai | @GramPanchayatHQ Read the feature here: thehansindia.com/karnataka/e… #Antyodaya #SimplerToday #EmpowerPanchayat

🛑 Say no to Domestic Violence, Because courage sometimes starts with a single click. 🔗 Visit: chat.simplertoday.ai/home 🎯 Tag someone who needs to hear this. @amitegov @viitorohit #BreakTheSilence #SimplerToday #EndDomesticViolence #Courage #TakeAction #womenrights #PoliceFIR

Instant verification is going to save so much admin time.

🇮🇳 Proud Moment! 🚀✨ In a first-of-its-kind initiative, Raigad Police launches a DigiLocker-integrated Digital Certificate & ID System with @EveryCred & @SimplerToday. ✅ No more lost/fake IDs ✅ Instant Aadhaar-verified access ✅ Faster, paperless, eco-friendly governance 🌐 everycred.com | simplertoday.com #DigitalIndia #ProudMoment #RaigadPolice #EveryCred #SimplerToday

We're just getting started—and deeply grateful for the support! 🇮🇳⚖️ With our India-first legal LLM, we’re making law more accessible, one use case at a time. Let’s simplify justice, together. 💡🤝 #LegalTech #AIforJustice #SimplerToday

I just used Simpler Today, and I’m amazed at how quick and easy it is to draft a police complaint. No complex forms, no confusion! 📄 Get started here: chat.simplertoday.ai/home Simple - Fast - No Hassle #SimplerToday

I am not a big fan of Large Language Models. In fact, India should not adopt the approach of developing a LARGE language model. Instead, we should focus on SMALL language models—very specific and designed for special purposes, capable of answering complex queries and solving critical problems within a particular industry. For example, we could create a law-specific language model or, even more precisely, a science language model, or perhaps a physics language model. If we cluster all these small language models together and, instead of building a massive knowledge graph, create a simple directory or index for these models, users could select the respective language model to get specific answers. There will be some limitations, though. Such models may not answer questions that are very broad or cut across multiple language models. However, if we use RAG to frame user queries in a way that breaks the query into smaller components, these components can retrieve answers from the relevant small language models. This approach provides a strategic advantage for India. First of all, it doesn’t require very high computational bandwidth, so we can rely on indigenously built, low-cost memory and computing infrastructure. Second, there is less dependency on external data. These models will be built using data generated in India, making them more capable of providing better answers in the Indian context. We should adopt a Digital Public Goods (DPG) approach to LLMs as well, focusing on solving real problems with resources developed indigenously. We should work with a minimalistic approach and adhere to the principle of single responsibility. The goal should not be to create a tech monopoly but to solve specific problems in specific industries. I believe we should avoid the trap of large language models. Even if we solve business problems using large language models, we would end up giving away more than 50% of the revenue to tech monopolies, whether they are LLM companies or hardware providers. India should carve its own path instead of falling into the trap of digital monopolies again. @simpler_today @aravindsrinivas @RajeevRC_X @GramPanchayatHQ @EasyGov @reliancejio @perplexity_ai @deepseek_ai #SmallLLM #SimplerToday #AI4People

What stops people from speaking up or filing a complaint when something is wrong? Share your thoughts below and let’s start a conversation about breaking these barriers. @amitegov @viitorohit #SimplerToday #Sarthi