J

Jhana.ai

The models are the product, and the archive was built to feed them. The vendor calls itself a frontier legal intelligence lab and names its proprietary work as verifier models, graph models for legal ontologies, a national legal archive of more than 16 million machine enhanced documents, and research and drafting agents. Machine enhanced is the key phrase: the archive was processed into a model asset, not licensed and wrapped, and seed capital was raised to build proprietary datasets and models and to hire researchers in law and AI.

Every product is an agent pipeline, including the public sector agents for extraction, synopsis and forensic scrutiny. Without the models there is no product.

Grounding is built into the design and can be inspected, without any published measurement. The vendor says its agents always cite their work and names a verifier model as proprietary technology, putting a checking step in the design. Product material shows each conclusion one click from its source page and each extracted figure anchored to page and paragraph, which a reader can check. Nothing measured is published: no accuracy figure, retrieval or extraction precision or recall, hallucination rate, test set, independent benchmark, or account of what the verifier catches. For a vendor whose named innovation is a verifier, the missing verification result is the gap.

The positioning implies an oversight model and no document describes one. Calling the product a paralegal rather than a lawyer is a deliberate and meaningful choice: a paralegal works under supervision, and the naming carries that. But naming is not a published model. Nothing states where a human must review agent output before it is used, whether any step can complete without review, what the agents may do unattended in the Courtroom and PUBSEC pipelines running extraction, synopsis and forensic scrutiny for courts, or what happens when an agent is wrong inside a registry workflow.

No confidence threshold, escalation path or human confirmation requirement is published. The gap matters more here than for a research tool sold only to private practice, because the deployed users include judges and registrars.

Adoption is quantified and institutional. The vendor reports more than 10,000 users, over 150 judges and registrars in five or more courts, more than 100,000 paralegal sessions and over 200,000 searches. Judicial use, with a public authority using the product rather than appearing as a logo, is the strongest element. Also dated and attributable: a $1.6m seed round led by Together Fund with named participants, a January 2026 partnership with CADRE ODR for online arbitration, and support from Jio GenNext, the AWS Public Sector Startup Hub, Microsoft Founders Hub and the Google Cloud Startups Program.

Three gaps remain: every figure is self reported with no method, period or definition; no court, institution or firm is named; and no outcome measure is published, such as time saved, fewer errors or research quality, only volume.

Real documentation exists, none of it about privilege, and one disclosed practice cuts against confidentiality. The privacy policy is a product document framed against the Digital Personal Data Protection Act 2023 and the Information Technology Act 2000, with erasure on request by email, retention exceptions for fraud prevention and for tax, legal reporting and audit duties, and a security section. Nothing addresses legal professional privilege or work product, the confidentiality of case files uploaded to AI Paralegal or Document Intelligence, or any segregation model.

The policy says personal information may be disclosed to processors including marketing and advertising agencies and web analytics companies. For a platform holding client matter documents, that is a real concern, and the policy does not separate account data from uploaded matter content.

Not addressed in any located material. The product generates propositions, advisories and memos from natural language input, which is output shaped like advice, and the user base explicitly extends beyond advocates to founders, tax professionals and compliance teams. That combination is precisely where the question bites: a non lawyer receiving an advisory generated from case law is the unauthorized practice scenario, and nothing published addresses it.

No statement that output is not legal advice, no positioning on the supervising advocate's role, and no engagement with Bar Council of India rules on advocate conduct or advertising. The paralegal naming is the closest thing to a position and it is a brand choice rather than a disclosure.

Nothing published about how the models are governed, evaluated or monitored. No AI policy, no evaluation methodology, no bias or fairness assessment, no accuracy monitoring, no drift statement, no model card, no named governance body and no external standard such as ISO 42001. The absence is conspicuous against the vendor's own subject matter expertise, since its published blog material analyzes the DPDP Act and DPDP Rules compliance obligations in structured detail for its customers, and none of that analytic rigor is turned on its own system.

Also unaddressed: whether a corpus described as machine enhanced introduces systematic error into the archive itself, which for a research product built on a proprietary dataset is the governance question that matters most.

The vendor addresses stewardship directly, but what it says does not hold together. The home page says customer data is not used for training, and the next sentence says free users can opt out of sharing data for model training; both cannot be complete. The privacy policy supports erasure on request, lists processor categories and says appropriate security measures and generally accepted industry standards apply. No retention period is stated for prompts or output, account data is not distinguished from uploaded matter content, and the training position depends on which sentence a reader stops at.

The training signal records the contradiction with the quote. Addressing training at all, and giving free users a control, is more than silence.

Terms exist, were read, and run one way. The terms and conditions make the user indemnify the company and its officers, agents and employees against third party claims, demands, damages, penalties, losses and actions, including reasonable attorneys' fees, and an entire agreement clause incorporates the privacy policy. No vendor commitment was found: no output warranty, accuracy undertaking, service level, liability position, or remedy if a generated citation, advisory or memo is wrong. The record rests on the published terms, which allocate risk in one direction.

Interoperability is claimed at the right level for the public sector product and documented nowhere. The vendor states that Courtroom and PUBSEC are interoperable with existing and new systems and are transacted with over API, which is the correct shape for selling into court registries, and the January 2026 CADRE ODR partnership is a named integration into an online arbitration workflow. What does not exist: any API documentation, any authentication or scope detail, any statement of what moves in which direction, and any named integration for private practice.

No document management system, no practice management platform, and nothing addressing how a firm gets its own matter files in and its work product out.

One strong deployment statement sits beside silence for everyone else. For the public sector products, the vendor says the agents are owned and hosted by the courts themselves, which is plain customer hosting and fits a judiciary that cannot put case data on a startup's infrastructure. For the commercial product, no hosting provider, region, residency commitment or private or single tenant option is published. Participation in AWS, Microsoft and Google startup programs is not a hosting disclosure. Data residency is a live question in India under the DPDP framework the vendor itself writes about.

No certification of any kind was found, and the security language cannot be checked. The privacy policy says appropriate security measures are taken against unauthorized access, alteration, modification, disclosure or destruction, and that generally accepted industry standards are followed, without naming a standard, auditor, scope or date. Nothing was found on SOC 2, ISO 27001, ISO 42001, CERT-In empanelment or any Indian assurance framework, and there is no trust center, security page or route to request documents.

Court customers host the software themselves, which takes much of this question off their hands, but nothing is published for anyone else.

Processor categories are disclosed, a list is promised, and no entity is named. The privacy policy says personal information may go to data processors under the DPDP Act, in categories including hosting providers, cloud computing entities, IT service firms, marketing and advertising agencies and web analytics companies, and says the vendor will try to publish an updated list of key processors. No such list was found.

At the model level, the vendor claims proprietary verifier and graph models but never says whether a third party foundation model sits under the agents, which is what a buyer needs to know.

A free tier is quantified and paid plans sit behind a login. Free tier limits are ten paralegal sessions, fifteen searches and thirty document intelligence files per month, which shows the unit and shape of the meter. Plan details require signing in, and no price, currency or range for any paid tier was found, so a buyer cannot compare with an existing subscription without an account. The free tier figures come from an independent review platform's assessment dated July 2026, not a vendor pricing page, and that assessment notes pricing is not fully public and may be out of date, so the source basis is recorded as third party estimated.

Scale and jurisdiction are stated precisely, and the vendor is open that the scope is one country. The archive holds more than 16 million judgments and statutes, described as India's National Legal Archive and built for Indian law rather than adapted from a general model. Named users include private practice lawyers, law firms, in house teams, judges and registrars in five or more courts, founders, tax professionals and compliance teams, and published topics include SEBI regulations, AML and CFT, the DPDP Act and Rules, the IT Act and Supreme Court authority on Section 65B evidence certificates.

Covering one jurisdiction is a limit for buyers outside India, not a disclosure failure. The archive is not broken down: no list of courts, tribunals and forums, no historical depth, and no update lag or refresh schedule, so a practitioner cannot confirm their forum is covered or current.