Aryan Grover

@lawandnation May I ask what AI-platform you’re using for your first draft? Would love to have you try out VetoAI.ai for free and give feedback!

AI if used properly can really increase the efficiency. For last month I have been using it for preparing the first draft. Really does an excellent job in doing mundane tasks like formal applications, affidavits, etc. Took over the job of junior advocate I was looking to hire.

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@lawandnation @vetoai Please follow so I can DM.

@Aryan_Grover @vetoai Sure, why not?

I want an AI agent which would learn and adopt my writing style.

Gojiberry AI just hit $2M ARR. A few months ago we were at €0. This is the second SaaS I've built. The first one I sold at €500K ARR. This time, we moved faster. Here's exactly how we did it, so you can do it too. The core principle that changed everything: We used our own tool to grow our own tool. Gojiberry AI finds high-intent leads and engages with them automatically. We run it on ourselves. It works insanely well. Here's the full breakdown: 1) Outreach (the engine) - LinkedIn: 5 accounts, 30 connection requests + 30 DMs per account per day. Only targeting warm leads showing real intent. Connection acceptance rates and reply rates are insane when you do this right. - Cold email: 6,000 emails per day. 295,000 sent in 90 days. 900+ opportunities created. 41 domains, 123 inboxes, plain text only, no links, no images, 2-3 email sequences max. Total infra cost: ~$600/month. The offer is always the same: a valuable blueprint. No pitch. Just value first. 2) Inbound (the compound effect) - LinkedIn: 6 posts per day across 6 accounts. 6 days/week = lead magnet content. 1 day/week = founder story. Last 7 days: 788,187 impressions. - Reddit: 14.8M+ views in 12 months. The trick: warm up the account, post 3x per week, tell real stories, offer blueprints, and never debate the haters. - YouTube: Long-tail SEO content targeting competitor keywords. It's starting to rank. - SEO: 50K visitors/month and growing fast. 3) Paid (we're just starting) - 3 LinkedIn influencer posts/week (~$500 each). - Facebook retargeting + acquisition Scaling paid ads aggressively right now. 4) Demos 5–8 per day. ~70% close rate to free plan. Mostly sales teams. What actually worked: → Using our own tool on ourselves (this alone is a cheat code) → High-intent outreach > cold outreach. Every single time. → Lead magnet posts on LinkedIn that generate thousands of comments. One post added $5K MRR in under 24 hours. Cost: $0. → Replying to every single comment. → Speed. Every delay kills momentum. We removed friction from every step of the funnel. → AI helping us do 10x more than we ever could alone. What's not working: - We need to delegate. We're currently hiring a founding sales to help us scale to $10M ARR (feel free to reach out if you know someone 😇 ) The path from €0 to $2M ARR is not glamorous. It's 18-hour days, boring repetitive work, testing things that fail, and doing it all again tomorrow. But if you do the right things every day, good outreach, real value, fast follow-up, it compounds. And one day you wake up and you're at $2M ARR. The goal now: $10M ARR. LFG. 🔥 PS : we're about to launch a 0 -> $1M ARR GTM course. Want to receive it? RT + comment GTM below.

Met a delegation consisting of the Governing Body of the Shri Ram College of Commerce, one of India’s most reputed educational institutions. This year, we are marking the centenary of this institution. A commemorative stamp was released too. My best wishes to this institution.

Delighted to be part of the 100th Annual Day celebrations of Shri Ram College of Commerce (SRCC). A centenary is a remarkable milestone that reflects continuity, resilience, and an unwavering commitment to academic excellence. Founded in 1926 by Sir Shri Ram, this iconic institution has nurtured generations of leaders, policymakers, entrepreneurs and professionals who have contributed significantly to the growth of Bharat and Delhi. It was especially meaningful to revisit the SRCC campus and recall my earlier visits, both as a student and in 2016. In today’s rapidly evolving economic landscape, institutions like SRCC play a vital role in shaping future-ready minds. As Hon’ble Prime Minister Shri @narendramodi Ji often emphasizes, education must go beyond academics to foster character, creativity, and critical thinking. Congratulations to the faculty, students, and alumni of @SRCCOfficial on this historic occasion. As SRCC embarks on its second century, I am confident it will continue to serve as a bridge between innovation and responsibility, contributing meaningfully to the vision of a #ViksitBharat and a #ViksitDelhi.

@law_ninja We’ve got this entire dataset and multiple layers of AI Intelligence on top @vetoai Can have a conversation in the DMs to discuss applications

India's courts produce more data than most SaaS companies. It's public and Free. Still, nobody is using it. Every district court publishes cause lists daily. Every High Court puts orders online. Case status, hearing dates, adjournments, judge assignments. All public. All free. eCourts alone has data on over 20 crore cases. And what are funded legal tech startups doing? Building contract review tools for the 200 large firms that already have budgets. Classic. Meanwhile the most valuable dataset in Indian legal is sitting on government servers. Updated daily. Ignored completely. Every judge has patterns. I have seen judges in Saket who dispose of cheque bounce matters in 4 hearings flat. And judges two courtrooms away who take 14 for the same case type. Some adjourn freely on first ask. Some will chew you out for wasting court time. When a lawyer faces an unfamiliar judge, they call a senior. Ask the clerk. Walk in and hope for the best. But that judge's last 500 orders are on eCourts. How many NI Act cases did he dispose of last year? Average time to disposal? Does he grant interim relief without hearing the other side? All answerable. Nobody is answering. A client asks: how long will my case take? Every lawyer makes something up. Not because they are dishonest. Because they genuinely do not know. But 5 years of data from that court, that case type, under that judge, gives you a real answer. "14-18 months. Under Judge Sharma, closer to 12." Now here is the part that changes everything. You do not need a SaaS company to build this anymore. You do not need funding or a tech team. A single lawyer with a laptop can scrape a judge's last 200 orders, feed them into an AI, and build a personality model of that judge. How does he reason? What arguments does he find persuasive? What makes him dismiss an application on the first hearing? Then do the same for opposing counsel. Do they seek adjournments early? File bulky replies? Bluff on interim applications or actually follow through? Now your draft is not generic. Your arguments are written for the specific judge who will read them. Structured to counter the specific lawyer on the other side. Do this for an arbitrator before your statement of claim. For a tribunal member before your next hearing. Even for your own senior, so the draft you hand them already matches how they think and argue. At LawSikho, we are now teaching our learners to build exactly this. Not a product. A personal tool on their own laptop for the matters they are actually working on. The lawyer who walks into court with a personality model of the judge and a pattern analysis of opposing counsel is not just better prepared. They are playing a different game. The data is public. The tools are free. The skill takes weeks, not years. The only question is whether you learn it before the lawyer on the other side does. Would you like us to make a youtube video and put out on our channel?

@law_ninja Incredible insights. You’ve hit the nail on the head! We’re building this @vetoai. Would love to connect with you and discuss more.

Every person who has tried to sell software to a small Indian law firm has heard this: "Bhai, send me the proposal. I'll look at it." You follow up. "Still reviewing." You follow up again. Nothing. Three months pass. The deal is dead. You cut the price. Same response. You add features. Same response. You offer a free trial. They log in once and disappear. The problem is not your pricing. The problem is not your product. The problem is you are selling the wrong thing. Small Indian businesses do not buy software. They hire people. This is not a behavioral quirk. It is how trust and accountability work in this market. Think about what happened when Indian courts started going digital. E-filing became mandatory. Case status went online. Court orders became downloadable. The portals existed. They were not complicated. Any lawyer with a smartphone and an internet connection could have figured it out in an afternoon. Nobody figured it out. Instead, thousands of e-filing operators and court typists set up shop near every district court complex in India. The same typists who used to type petitions on typewriters now started filing cases online for lawyers. Charging Rs 200 to Rs 500 per filing. Just to use portals the lawyer could have accessed themselves. These operators now handle everything from e-filing to downloading court orders to checking case status. Many of them charge monthly retainers from 15 to 20 lawyers each. They are the person the lawyer calls when anything digital does not work. The lawyers did not want the portal. They wanted a person who would handle it and be answerable when a filing deadline was missed. Same story with GST. ClearTax built software. Tally added modules. The tools existed. Nobody learned. Instead, 3 lakh GST consultants emerged across India. Charging Rs 500 to Rs 2,000 per month per client. Just to file returns using tools the client could have accessed themselves. Because the person you hire is accountable. The app is not. Now apply this to AI. You build an AI workflow system for a 5-person law firm. Client intake automation. Hearing date reminders. Document drafting. Legal research summaries. It works beautifully. You try to sell it as a SaaS product for Rs 2,000 a month. They will not buy it. Not because Rs 2,000 is too much. They pay their munshi Rs 12,000 a month. They pay for their Manupatra subscription. They pay the typist outside court for e-filing. They will not buy it because they do not trust a subscription to an unknown product. Nobody to call when something breaks. Nobody accountable when the reminder does not go out before the limitation date. The way to sell AI to small Indian law firms is not to sell software. It is to sell yourself as the person who builds it, runs it, and fixes it. Rs 15,000 to 20,000 to build and set up. Rs 2,000 a month to maintain and be available. Same pricing as their e-filing operator. Same mental model. You are not a product. You are a person they can call. And here is where the distribution insight gets interesting. Think about who already walks into a lawyer's chamber every month. The legal book supplier. The local distributor who drops off bare acts and commentaries. These people have been visiting the same 200 to 300 lawyers for years. They know which advocate sits in which chamber. They know their practice area, their court, their temperament. The lawyer already trusts this person. Already buys from them. Already opens the door when they knock. Now imagine that book supplier says: "Sir, along with your commentary subscription, I can also set up an AI system for your office. Hearing date reminders, draft notices, client follow-ups. Rs 15,000 setup, Rs 2,000 a month. I will handle everything." The conversion rate on that pitch is not 2 percent. It is 40 to 60 percent. Because the trust already exists. The relationship already exists. The regular access to the chamber already exists. The same applies to the stamp vendor and the notary agent who sees the same set of lawyers week after week. Or the munshi inside the firm who handles all the filings and would be the one actually operating any new system. This is how India adopts new technology. Not through app stores and LinkedIn ads. Through trusted intermediaries who bundle the new thing with an existing relationship. The person building AI deployment businesses for Indian law firms who figures this out first will not be selling to one advocate at a time. They will be training legal book suppliers and e-filing operators to offer this as a service to their existing clients. That is a distribution model. Not a product. Not a marketing funnel. The SaaS model assumes the buyer wants to learn and self-serve. The India model says: find the person the buyer already trusts. Work through them. One is selling software. The other is understanding how India actually works. Know anyone who has done this yet for legal software or AI in India?

@mehuljindal18 Building exactly this :) drop me a DM? Let’s connect

Someone please build a fully AI native Law firm for the masses. Not someone who brings down the cost per hr of a lawyer from $1k to $100, but $10. So its within reach of most common people.

@jxnlco What about this one?

@anmolm_ Well they do say that in times of uncertainty, diversification is key hahahaha

alpha wave - the leading investor in india in bhujia companies AND ai companies

@law_ninja We are doing it at vetoai.ai @vetoai ! No hallucinations, end-to-end agentic drafting, research, analysis, translation & much more!

Indian law firms run on MS Word, WhatsApp, and memory. AI hasn't touched them. Yet. India has 1.5 million registered advocates. Most of them run their practice out of a single room, a shared chamber, or a small 3-person office. Ask any lawyer in Tis Hazari, City Civil Court Mumbai, or a district court in Patna if they use AI in their practice. Most will say yes. They mean they asked ChatGPT to summarize a judgment once. Or wrote some mails with gemini. That is not automation. That is not a workflow. That changes nothing about how the practice actually runs. Real AI deployment, the kind where a client intake form auto-populates a case file, where hearing dates trigger automatic reminders, where a standard contract gets drafted in 3 minutes not 3 hours, that is essentially at zero in Indian law firms below 20 people. Not 7%. Not 2%. Essentially zero. Why this is the biggest untapped market in Indian legal right now: India's large law firms are moving fast. Trilegal, AZB, Cyril Amarchand. AI for contract review, due diligence, legal research. They have technology budgets. They have AI teams. Their smaller counterparts? Still on Word templates from 2014. Still maintaining case diaries in physical notebooks. Still calling clients manually to remind them of hearing dates. The gap between large firm and small firm on AI is not a technology problem. It is a deployment problem. The tools exist. Contract drafting with Claude. Case management with AI-integrated tools. Client communication via WhatsApp automation. Document review with GPT-4. Most under Rs 5,000 a month. What doesn't exist is a person who walks into the law firm, understands the workflows, and builds it. That person is the Legal AI Workflow Architect. What this person actually does: Real example. A litigation lawyer in Saket District Court handles 150 active matters. Each matter needs: - Hearing date tracked and reminded to client - Case documents organized and retrievable - Client billing updated after each appearance - Drafts prepared for next hearing - Court fee calculations done Currently: one overworked clerk. Dates missed. Clients calling constantly. Bills sent late or not at all. A Legal AI Workflow Architect builds this in 4 weeks: - WhatsApp bot that sends hearing reminders automatically - Document folder structure auto-created on new matter intake - Billing tracker updated after each court date - Standard draft templates pre-filled from case details - Court fee calculator integrated into the intake form Cost to the lawyer: Rs 15-20,000 one-time. Rs 2,000 per month to maintain. Value to the lawyer: 2 hours saved per day. One less clerk needed. Zero missed dates. Clients who feel looked after. This is not complicated. It is not being done because nobody is walking in to do it. The junior lawyer crisis and the small firm gap are the same story. Entry-level hiring at top law firms: collapsing. AI is doing the contract review, the legal research, the painful due diligence, the first draft. The work that used to go to a fresh LLB graduate. 712 lawyers have already been sanctioned globally for AI hallucinations in court filings. The ones who used AI carelessly. Not the ones who deployed it properly. Large firms are cutting junior headcount. The work isn't disappearing. It is being done differently. But 1.4 million small practitioners have no automation at all. They are drowning in admin. They are losing clients to better-organized competitors. They are billing less than they should because they cannot track their own time. The same disruption that shrinks the large firm associate pool creates the legal AI deployment market. These are not separate events. They are the same event, viewed from different angles. The skill set is learnable. In months, not years. You do not need to be a technologist. You need to understand legal workflows and know how to connect tools. Legal process mapping: if you have worked in any law firm, you already know this - One automation platform like n8n or Make: 3-4 weeks - Prompt engineering for legal drafting: 2 weeks - API basics, connecting tools: 3-4 weeks Three months of focused learning. Then you walk into one solo practitioner or small firm with a painful manual process and you fix it. India has 1.5 million lawyers. The ones who learn to deploy AI into legal workflows will not just survive what is coming. They will own the future. If you are struggling to get a good job or internship in law, just learn how to do it. Your legal career will be unstoppable.

@sone_do_mujhe Check Karol Bagh or Nehru Place.

Visited 3 electronic stores today. Old versions of ipad/macbook are NOT available anymore (& neither will resume). Sad. Kal se Vijay Sales jana band! Was visiting them for months to track price change! Khair. It was good till it lasted!

@sarfraj_ab75685 Leads

@jguptallb Won’t happen if they use @vetoai to get the first draft :)

The first draft of any petition that the associates send.

@sone_do_mujhe Can I set you up a free trial of @vetoai, would love for you to give us feedback on how it helps you in your draft.

Will be speaking on the intersection of Law, AI, and Justice tomorrow at a Seminar organised by @NLUD & @JindalLaw as part of a distinguished panel! Hon’ble @arjunrammeghwal ji will be inaugurating the Seminar @vetoai

@SauravDassss @scconline_ Hi Saurav, will be happy to set you up with @vetoai with our compliments. We have a database of over 2 crore judgements + unparalleled AI research and drafting capabilities.

Lawyers and legal researchers please help: Is Manupatra better or @scconline_ (more expensive though)?

@sone_do_mujhe No he doesn’t cease to be CJ, but the decorum of the office requires being in complete uniform. Same for a Police Commissioner wearing his hat even during indoor events or even members of the Armed Forces in complete uniform at ceremonies.

@Aryan_Grover without band, he doesnt cease to be CJ no? This is not a judicial function, right? Thats all I meant to ask

Lawyers cant wear bands outside courtrooms. But, judges can? Dont think so...