It cites law that has since changed, misses the rule that actually governs, and forgets the file the moment you close the tab.
Justis AI is a team of legal agents built for Indian law.
Litigation or transactions, chambers or in-house: they work from statutes, rules and decisions, cite every answer to its exact passage, and learn how your team drafts.
Legal teams already on the waitlist







Agent reads your documents, applies Indian law, and returns source-linked work.
Table review extracts the same fields across hundreds of documents into one grid.
Drafting drafts in your voice, then redlines with tracked changes you accept or reject.
Research plans, reads the SC and HC corpus, and cites the exact paragraph.
Justis remembers which side you act for, how you draft, and which court, so you never repeat context. Memory is yours to see, edit, delete, or switch off for a chat.
This is the Sunrise IT v. Meridian Traders matter. You act for the tenant. I'll draft under Indian law for the Delhi courts, with the 15-day cure period you use for statutory notices.
The lock-in ends 30 September. I'll draft the notice for service before then and cite the clauses it relies on.
Privacy and control
Justis encrypts everything, trains nothing on your data, keeps it in India, and gates every consequential action for your review.
Encrypted end to end Documents, memory and chats are AES-256 encrypted at rest and TLS 1.3 in transit, with keys held in hardware-backed stores.
Never used for training Your matters never train a model. Zero data retention with every provider we route through; temporary chats leave no trace.
Data stays in India Hosted in Mumbai on Indian infrastructure, DPDP Act 2023 ready, with role-based access and a full audit trail.
Guardrails on every action The agent works inside the matter you open, lands edits as tracked changes, and confirms before anything is deleted or merged.
“It drafts like someone who has read our files”
We used to lose the first two days of every matter to reading in. Justis pulls the chronology, flags the limitation issue, and hands back a draft that already sounds like our firm. Our associates start from an argument now, not a blank page.
“The citations hold up when the bench checks them”
That was the test for us. Every authority it gives is traceable to the reported judgment, and it tells us plainly when a point is unsettled. We have stopped re-verifying research from scratch, which is where the real hours went.
| Justis AI | Claude | ChatGPT | Gemini | |
|---|---|---|---|---|
| Trained on Indian law | ||||
| Case law, cited to the paragraph | ||||
| Verified citations, no hallucinated cases | ||||
| Redlines with tracked changes in .docx | ||||
| Tabular review across hundreds of documents | ||||
| Remembers your firm's drafting style | ||||
| Data hosted in India, DPDP compliant | ||||
| Documents never train shared models |
Justis AI is a set of AI legal agents built for Indian practice. Give an agent a task and it does the work: researches the law, drafts and redlines documents, reviews whole document sets, and keeps track of your matters. It works the way your firm works and remembers what it learns, so every matter starts further along than the last.
Anyone who practises law in India. Litigators, transactional and corporate lawyers, in-house counsel, compliance teams, IP and employment specialists, and independent advocates. Solo practitioners get an agent that learns their voice. Firms and legal departments get shared workspaces, role controls, and live collaboration across practice groups.
Contract review and clause risk mapping. Due diligence across hundreds of documents at once. Drafting agreements, notices, opinions, policies, and pleadings in your house style. Legal research with verified citations. Redlining an existing document with tracked changes. Case chronologies, compliance checklists, and regulatory tracking. If it involves reading, writing, or checking legal documents, Justis can take it on.
General assistants are trained to be broadly helpful. Justis AI is trained to be legally precise for India. It reasons from primary Indian sources, verifies every citation before it reaches you, works directly on your documents with tracked changes, and remembers your firm's preferences from one matter to the next. Your data stays in India and never trains a shared model.
Describe the outcome you want. For a quick task the agent answers directly. For anything with several steps, Plan mode proposes a checklist, waits for your approval, and then works through each item: reading the documents, running research, drafting, and redlining. You see every step and every source, and you stay in control throughout.
Memory is your firm's working knowledge, kept live. Which side you usually act for, how you draft, which clauses you prefer, which court or regulator a matter sits before, and what has already happened on a file. Captured once and applied automatically. You can see, edit, or delete any memory, and switch it off for a chat whenever you like.
Every answer is grounded in primary Indian sources: statutes and rules, central and state legislation, regulatory notifications, and Supreme Court and High Court decisions. Citations are checked before they are shown to you and link back to the exact passage. When the system is not sure, it says so rather than guessing.
Yes. Everything is hosted on servers in India and encrypted in transit and at rest. Justis AI is DPDP Act 2023 compliant. Your documents and conversations are never used to train shared models. Access is role-based, so each person sees only the matters they are meant to see.
Yes. Upload Word, PDF, and spreadsheet files, work on them inside Justis, and download the results as .docx, .pptx, or .xlsx. Redlines come back as tracked changes you can accept or reject in Word. Teams can also connect their own tools and add custom skills for repeat workflows.
Most teams are up and running inside a week. Sign up and start with a single matter, or book a 30-minute demo and we will walk through a live workflow in your practice area and handle onboarding for the whole team.