Research Indian Law
With AI.

AI legal research uses natural language understanding (NLP) to analyze the factual context of your case rather than looking for literal keyword matches. It helps you identify legal issues, statutes, and relevant precedents that keyword searches miss.

Indian Kanoon is an excellent judgment index. LawAssist.ai acts as an intelligent layer on top of it. Instead of typing boolean operators and keyword filters, you input your case facts in plain English. The AI parses the facts, maps relevant central or state Acts/sections, queries the index, and re-ranks the results based on actual fact similarity.

No. Unlike generic conversational LLMs, LawAssist.ai employs strict anti-hallucination protocols. Every case cited in our dashboard is grounded in official, verified dockets and links directly back to its source text on Indian Kanoon.

Phase 1 covers all judgments from the Supreme Court of India and all State High Courts indexed by the Indian Kanoon API.

Yes. In Phase 1, you can copy and paste raw facts directly or upload text-based PDFs (such as petitions, written statements, FIRs, court orders, or legal notices). Scanned PDFs and image files requiring OCR will be supported in Phase 2.

Yes. We run a zero-retention infrastructure. Pleadings and fact sheets uploaded to our servers are cached temporarily for parameter mapping and similarity calculations, and are deleted immediately after the session. We never store them permanently or use them to train shared models.

A similarity score (expressed as a percentage) indicates how closely the facts and legal reasoning of a retrieved precedent match the facts of your active case, helping you prioritize what to read first.

Judgments are retrieved using key statutory parameters extracted from your facts. Our self-hosted open-source LLM then analyzes the retrieved texts and re-ranks them by fact and issue similarity, placing the most relevant precedents at the top.

Section 18 of the Real Estate (Regulation and Development) Act, 2016, outlines the homebuyer's right to claim a refund and interest from a developer in case of delayed possession of a property.

We deploy self-hosted open-source models like Qwen 3B and Llama 3.2 in private, isolated containers to guarantee data privacy and prevent third-party leaks.

Yes. Our models are optimized to extract check bounce parameters, such as legally enforceable debt presumptions, statutory notice delivery, and timeline defaults, linking you directly to SC precedents like Rangappa.

Absolutely not. LawAssist.ai is an assistant designed to automate the repetitive hours of precedent searching. It provides research summaries, but final statutory analysis, citation verification, and court representation remain the sole responsibility of the advocate.

Yes, our model extracts references to state-specific amendments and local rules (e.g. state RERA rules, local municipality Acts) and incorporates them into search queries.

Limits are defined by pricing plans. The Free tier includes 5 AI searches per month, while Pro and Max plans provide 150 and 800 searches, respectively.

Reports containing your uploaded facts, extracted legal issues, matching precedents, and AI summaries can be exported as clean PDFs directly from the dashboard.

We offer Free, Pro, Max, and Enterprise tiers. Early waitlist signups secure lifetime beta pricing once public subscriptions launch.

Under the Max plan, chambers can create shared workspaces allowing junior advocates and senior partners to coordinate search histories and saved cases.

District court indexes are planned for future phases (Phase 5). Phase 1 covers the Supreme Court and High Courts of India.

You will receive a confirmation email. We release private beta slots in weekly cohorts based on waitlist queues, offering onboarding walkthroughs to active testers.

You can email Aravind and Meera directly at founders@lawassist.ai or use our contact form for inquiries.