The Intelligence Layer for Legal Practice
Contract intelligence. Litigation intelligence. One platform.
NeetiQ is an AI-powered legal intelligence platform that automates contract review and litigation research for Indian legal professionals, delivering 10x faster contract analysis and saving 8–12 hours per case research cycle.
Every day, associates at leading firms spend hours reviewing contracts clause by clause, searching case law databases keyword by keyword, drafting arguments from scratch. The high-value work — the reasoning, the strategy, the judgment calls — waits. NeetiQ exists to invert that ratio. Intelligence infrastructure that handles the pattern recognition, so counsel can do the work that actually requires counsel.
The average commercial contract takes 2–3 hours to review manually. A case research memo takes a full day. These are intelligence problems with infrastructure solutions.
10x
Faster contract review
8–12 hrs
Saved per case research
100%
Source-traced outputs
Zero
Hallucinated citations
Platform Modules
Platform Modules
ContraRed
Contract review consumes more associate hours than any other task. ContraRed reads contracts against statute, commercial standards, and internal playbooks — simultaneously. Risk flagging. Revision suggestions. Audit trail.
Explore /02Smriti
Case research on legal databases still runs on keyword search. Smriti finds legal principles, not keywords. Semantic search across Supreme Court and High Court judgments. Statute identification. Argument drafting grounded in cited authority.
Explore /03Custom Intelligence
Every legal team has workflows that no off-the-shelf product fits. Custom intelligence modules designed around your practice — document automation, compliance monitoring, matter-specific analysis. Built to specification.
ExploreArchitecture
The critical failure mode of AI in legal work is hallucination — generated citations, invented precedent, fabricated holdings. NeetiQ is architected to make this structurally impossible.
Every output traces to source.
Nothing generated without grounding.
Every legal system has its own statutes, its own precedent, its own interpretive logic. Most legal AI treats jurisdiction as a filter. NeetiQ treats it as the foundation.
We build from primary sources — enacted law, decided cases, regulatory frameworks — jurisdiction by jurisdiction. The knowledge graph expands, but the architecture never compromises: no generated citations, no hallucinated precedent, no approximate answers.
This is not localization. This is origin.
Principles
Design Principles
Grounded in statute and precedent.
Every output traces to enacted law or decided cases. Not approximate matches. Not probabilistic guesses. Specific provisions of specific statutes. Specific paragraphs of specific judgments. The system does not generate legal authority. It identifies it.
Native to the workflow.
ContraRed operates inside Microsoft Word. Smriti integrates into research and drafting. The intelligence arrives where the work already happens — not in a separate platform that requires context switching, file uploads, or a new login. Adoption follows absence of friction.
Data stays within the engagement.
Research queries are not used for model training. Contract data does not leave the engagement boundary. Client matter information is not accessible across engagements. This is not a privacy policy. This is the system architecture. The isolation is structural, not contractual.
Built for counsel at leading law firms and corporate legal departments
Microsoft Word native
Intelligence delivered inside Word — not beside it.
Sovereign data residency
Client data never leaves your jurisdiction. Full residency by architecture.
Zero model training
Your queries and documents never train the model. Period.
Engagement-level isolation
Matter data does not cross engagement boundaries. By architecture.