Democratizing Legal Research
For Every Indian Advocate
We are building the cognitive layer for Indian law. Our assistant helps junior lawyers, independent advocates, and researchers parse case facts, identify legal issues, and find relevant Supreme Court and High Court precedents in seconds.
The Hour-Loss in Indian Advocacy
Legal research in India has traditionally relied on keyword matching. Advocates spend hours searching through databases like Indian Kanoon, opening dozens of tabs, comparing facts, and reading hundreds of pages of judgments just to find a single relevant precedent.
This manual workflow creates an asymmetrical advantage for large firms with massive associate pools. Junior advocates and independent practitioners are forced to lose nights to repetitive research before they can even begin drafting arguments.
LawAssist.ai was founded to bridge this gap. By deploying open-source Large Language Models (LLMs) tuned for Indian legal reasoning, we enable advocates to understand the core legal issues of a case and retrieve jurisprudential siblings within seconds.
Built by Engineers and Advocates
We are a lean, pre-launch startup combining deep machine learning expertise with active court practice.
Aravind K. Sharma
Co-Founder & Chief Architect
Former ML researcher. Specialized in domain-specific retrieval-augmented generation (RAG) and open-source LLM alignment.
Meera G. Swaminathan
Co-Founder & Legal Counsel
Advocate at the High Court of Madras. Focused on civil litigation, commercial disputes, and constitutional law research.
Shape the future of legal tech in India
We are currently in private beta and actively refining our models with feedback from practicing Indian advocates. Secure your spot in the early access program today.