About Clauseo
The legal information
industry is broken.
We're fixing it.
AI research agents and enriched legal databases for Indian lawyers. Not chatbots with legal system prompts. Not Copilot clones that summarize documents. Deep, thorough, verified research that a senior advocate would trust as a first draft.
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CCI cases enriched
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NCLAT appeals linked
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Data quality caveats documented
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Operations per research session
The problem
Courts publish digitally. The data is public. And lawyers still pay thousands a month for a search engine from 2001.
The actual workflow in 2026
“party name + NCLAT” → Google → Hope
To find out whether a CCI order was appealed. That's the standard practice. At top-tier law firms. Right now.
SCC Online and Manupatra solved distribution. They got legal data out of courtrooms and into lawyers' hands, first through books, then CDs, then subscription websites. That problem is solved. The raw material of legal research is public domain, freely distributed by every court and regulatory body in India.
Government websites are a disaster. The NCLAT website has hundreds of case numbers showing up as “March-17” instead of “03/2017” because someone entered the data in Excel. No full-text search. No structured metadata. Thousands of PDFs with no way to find what you need.
Niche lawyers practicing in specialized regulatory domains are the most underserved. The mainstream platforms don't cover their domains. The government websites are barely usable. Their work requires the deepest research.
The stack
Three layers. Each builds on the one below.
Enrichment is a one-time cost that compounds forever. Every query after that benefits from the work. Intelligence embedded in the data itself, not recomputed every time.
Layer 0
The Database
Structured, enriched, connected legal data. Every document has metadata extracted, cross-references established, quality tiers labeled, and data quality issues documented. We enriched our entire CCI database in a single batch job that took under two hours. Trust hierarchies tell our systems which fields to rely on and which to verify from source.
Layer 1
The Search Engine
Fast, precise, human-facing search that exposes enriched data through intuitive filtering. Semantic, not just keyword-based. No boolean operators, no platform-specific syntax. What search should feel like in 2026.
Layer 2
The AI Agent
A research agent with the sophistication of a human researcher, the analytical capability of a data scientist, and the speed of a machine. Spawns sub-agents, writes code, traces citations, produces output that replaces hours or days of human work.
The agent
Lawyers deserve an agent, not a chatbot.
The idea came from coding agents. If the architecture works for navigating large codebases, it should work for navigating large bodies of case law. Same structure: search, read, synthesize, verify. We built it.
Sub-agents with fresh memory
Each sub-agent gets its own context window, does independent research, and sends back distilled findings. The main agent gets clean results without drowning in noise.
Code execution
The agent writes programs that make dozens of searches at once, filter results, compute statistics, and return curated findings. What would flood working memory becomes a few hundred words of targeted output.
Unlimited parallelism
Nine research tasks that would take a team of associates a week can run simultaneously. The total time is the duration of the longest session, not the sum of all nine.
Built for tomorrow’s models
As models get smarter, our product gets better without changing a line of code. The architecture gives the model room to do deep work. The ceiling rises automatically.
What we believe
Research is the task that matters most.
Everything in legal practice is grounded in research. Every draft, every argument, every opinion. In the age of AI hallucinations, verified research is more critical than ever. It’s also the toughest, most expensive, most time-consuming task in legal practice. The one everyone else is avoiding.
Collection is dead. Enrichment is everything.
The winner won’t be the company with the biggest collection. It will be the one with the most organized, most navigable database.
AI is not SaaS.
A subscription model for AI is like selling a car with unlimited fuel, then spending all your engineering making sure it can’t go too far.
Depth before breadth.
One domain at a time, completely, definitively. A lawyer will never trust a tool that claims to know everything and knows nothing well.
Build for the ceiling, not the floor.
Best model. 25 minutes if needed. 80 operations if thoroughness demands it. No cheaper models. No caps. No throttling.
Our competition
Not other software. The billable hour.
Our real competition is the junior advocate's time. A firm has a finite number of associates. Each research task takes hours to days. The partner waits. The client waits. The client pays.
A Clauseo session costs a few hundred rupees and takes 20 minutes. Compare that to hours of billable associate time. The math sells itself. We don't need to sell against anyone. We need to prove the output is good enough to use.
Use it once. Look at the output. Decide for yourself.
Data sources
Clauseo's general case law search is powered by Indian Kanoon. Our specialized databases (CCI, NCLAT) are built and enriched in-house from primary government sources.
Team
Everything on the line.
We've seen what's possible, built enough of it to know it works, and believe every word of what we've written here.
Rohan Shiralkar
Founder
Started Clauseo after watching his younger brother, a lawyer, spend days on research that should take minutes. Previously built and killed enough ventures to know what sticking with something looks like. Writes all the code in TypeScript, built a custom AI coding harness, and cares more about the output being right than anything else.
Shamil Rasheed
Founding Team, Engineering
Harshvardhan Mudgal
Founding Team, Legal
The only thing that convinces a lawyer is the output.
Try it. If the research memo is not good enough to use, nothing we say on this page matters.