Intelligence infrastructure for legal practice.
NeetiQ exists to embed intelligence into the daily work of counsel — contract review, litigation research, and what comes next.
NeetiQ is a legal technology company based in Noida, India, that builds AI-powered intelligence infrastructure for legal professionals. Founded in 2024 by Avi Yadav, NeetiQ's platform includes ContraRed for contract review and Smriti for litigation research, serving law firms and corporate legal departments across India.
Platform
One platform. Multiple intelligence modules.
Legal practice generates more complexity than any single lawyer can hold in memory. Hundreds of thousands of reported judgments. Dozens of statutes that intersect on every commercial transaction. Internal standards that differ between firms, between partners, between practice groups. NeetiQ is the intelligence infrastructure that makes this complexity navigable — not by simplifying it, but by making it searchable, traceable, and actionable.
Principles
Our Principles
Accuracy over volume.
Every output traces to enacted law or decided cases. The system prioritizes precision of legal reasoning over breadth of coverage. Nothing generated without grounding.
Built for practitioners.
Designed for the daily work of counsel, associates, and legal teams. Intelligence delivered inside the tools already in use — not as a separate destination.
Privacy as architecture.
Data stays within the engagement. Research queries are not used for model training. Contract data does not leave the engagement boundary. This is a structural guarantee.
Founder
Avi Yadav
Founder, NeetiQ
Background in applied AI and computational systems. Built intelligence infrastructure at the intersection of law and automation. UPES School of Computer Science.
Building the intelligence layer that legal practice has needed and not had. The thesis: the highest-value legal work is judgment, strategy, and reasoning. Everything upstream of that — the contract review, the case research, the statutory cross-referencing — is an intelligence problem with an infrastructure solution.