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LegitQuest
LegitQuest combines an Indian legal research database with tools that retrieve authorities, break down judgments and display later case treatment. iSearch finds relevant material, iDRAF separates the issues and reasoning within a decision, and iGraphics links to cases that cite, distinguish or overrule it. Lawyers can annotate passages, save notes and copy text with citations.
Its ZaiAN assistant answers natural language questions using the legal database and selected uploaded or connected sources. The workflow interprets the question, retrieves relevant information and produces a cited response for professional review. The broader product range includes Patrol for litigation matters, hearings and collaboration, and LIBIL for litigation intelligence used in business diligence. These products extend beyond the original research service while drawing on the company's Indian legal information.
Operated by LQ Global Services Private Limited in New Delhi, LegitQuest serves advocates, firms, corporate departments, government users and educational institutions. The service offers individual subscriptions and separately scoped enterprise access. Its terms define the product as a reference aid and leave professional judgment with the user. A general privacy policy covers account data and uploaded information, but does not state how client material is treated for model training.
LegitQuest, head to head
Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.
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Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
Capability grades
All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
LegitQuest combines an Indian legal database with AI retrieval, judgment analysis and generative assistance. iSearch finds relevant authorities, iDRAF separates the issues and reasoning within a decision, and iGraphics presents later case treatment. ZaiAN adds natural language questions and analysis combining the legal collection with uploaded or connected material. Patrol extends contextual questions into matter management.
The underlying library, citation lookup, notes, bookmarks and case tracking retain value independently of generated answers. AI powers several central research and analysis functions, while the wider service also operates as a conventional legal information and workflow platform for Indian practitioners and institutions.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
ZaiAN interprets a question, retrieves relevant material from selected sources and compiles a response with citations and supporting references. Users can review the underlying legal material, including judgments in the LegitQuest database. iDRAF extracts issues and reasoning from individual decisions, while iGraphics identifies later treatment and links to the relevant cases. These provide ways to inspect authority and context.
The public description does not supply a measured hallucination rate, a reproducible evaluation set or a breakdown of retrieval and citation failures. Nor does it demonstrate a consistent refusal response when the available legal materials cannot support the requested conclusion.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
The user selects sources for a ZaiAN question and can inspect the cited material behind an answer. Uploaded contracts, pleadings and case files supply context alongside the legal database. The product leaves legal analysis, strategy and decisions to lawyers, while the agreement requires independent verification for commercial decisions. Research tools expose passages, notes and treatment information for that review. These mechanisms support professional supervision without describing an autonomous filing or client advice process.
No published control specifies a minimum confidence threshold, mandatory second reviewer or automatic escalation when the assistant generates an unsupported answer or conflicts with the source material.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Hemant Singh of Charter Law Chambers describes using the research engine to reach the principal findings and issues in judgments more quickly. Rahul Sinha Roy of Lloyd Law College specifically discusses using iDRAF and iGraphics to reach reasoning and decisions and reduce time spent analyzing a case. These attributed accounts identify actual users and particular functions. They do not provide dated measurement periods, sample sizes or comparable research assignments.
Broader claims of reduced research time and use by thousands of teams therefore lack a reproducible outcome calculation. The available evidence establishes professional use without quantifying performance across a defined group of matters.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
The platform offers encrypted transmission, controlled account access and a general commitment to handling confidential legal information. ZaiAN can analyze uploaded client files, emails and cloud content, while Patrol applies access roles to matter material. The privacy policy governs the service broadly and permits sharing with vendors meeting its protection standards. It does not expressly address whether prompts or client files can train models, identify the providers receiving them or treat attorney client privilege and work product separately.
Those omissions leave the handling of legal confidences less specific than the product's broad assurance of secure storage and responsible enterprise use.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
LegitQuest describes its service as a reference aid and expressly denies providing legal advice or practicing law. The agreement says the service does not substitute for professional judgment and requires independent verification when information supports a commercial decision. ZaiAN similarly leaves legal strategy and decisions with lawyers. Its intended audience includes firms, corporate departments, government users and legal researchers, with Indian law as the principal collection.
The public position does not map competence, client consent and supervision obligations to specific bar guidance, or describe distinct disclosures for self represented users who can request a demonstration. The advice boundary is clearer than those implementation details.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
The company emphasizes transparency, human expertise and the role of verified legal information in supporting AI answers. Lawyers retain responsibility for decisions, and cited sources allow them to examine the underlying material. Its leadership and advisory figures are named, but responsibility for model governance is not assigned to a particular role. No published framework specifies release tests, model change approval or findings about uneven results across courts, languages or user groups.
Security surveillance and infrastructure testing address technical assurance rather than fairness of legal reasoning. The available AI principles therefore lack a defined testing and accountability program for generated legal analysis.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
The privacy policy describes collection of account details, query terms, usage logs and metadata about uploaded files. Information remains while an account is active or needed for the service, with deletion available by request and exceptions for legal duties, backups and files shared with others. Encryption protects transmission, and Amazon is named as an example of a hosting partner. These are general service controls.
A prompt specific storage schedule, treatment of generated answers after processing, complete subprocessor list and incident notification commitment are not supplied. The policy does not explain how those general retention rules operate across ZaiAN's connected sources and client uploads.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
The terms disclaim liability for database errors, omissions and reliance on service content, and cap aggregate exposure at the amount paid during the preceding 12 months. The customer must indemnify the provider for specified misuse and third party claims. No corresponding vendor indemnity or accuracy warranty protects the customer against an incorrect AI answer. Disputes generally begin with informal negotiation and may proceed to arbitration in New Delhi, subject to stated exceptions.
Separate pricing guidance allows consideration of refunds for billing or technical issues, but does not create a remedy tied to erroneous legal output. The agreement mainly limits exposure rather than allocating that specific loss.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
ZaiAN can draw on email, cloud storage, uploaded files and the LegitQuest legal database in a single question. The workflow describes source selection and retrieval, but does not name supported mail or storage vendors or provide connector setup instructions. Patrol combines its own matter data with the same legal collection and offers calendar synchronization without identifying the calendar system. These connections describe an intended working environment, yet do not establish external practice system compatibility, synchronization direction or permission behavior.
No implementer instructions show how a firm's existing document management system exchanges changes or access restrictions with the AI service.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
LegitQuest is a hosted website and mobile service that uses external infrastructure providers, with Amazon named in the privacy policy. Its terms permit information to be stored and processed in India or any other country where the company or its agents maintain facilities. This is a broad transfer permission rather than an India only residency commitment. The public description does not identify specific cloud regions, separate storage from model inference locations or list different deployment choices by subscription.
Dedicated customer tenancy and installation within a firm's own environment are also not described. Access to Indian legal sources does not establish where a query is processed.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
The current homepage identifies ISO 9001:2015, ISO 20000 1:2018 and ISO 27001:2022 surveillance and describes audited infrastructure. It also lists application and network assessment, configuration review and source code review through CERT In empaneled assurance services. These statements identify standards and testing activities beyond an unsupported security slogan. The public surface does not expose an assessor, certificate period, detailed scope or downloadable report tying each claim to the research and AI products.
Empaneled assessment services are also distinct from a blanket government product approval. The certifications are stated, while the underlying assurance artifacts remain unavailable for direct inspection.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
ZaiAN is described as combining GPT with the company's legal information and a retrieval workflow. A language processing engine interprets the question, examines selected sources, extracts relevant content and produces a consolidated response. Those steps explain part of the architecture without naming an actual deployed model family, version or model service provider. Amazon supplies general infrastructure and does not establish which inference service receives legal questions.
Provider retention terms, changes in routing and customer notice for model replacements are not specified. The public model description is therefore architectural, with the operational supply chain still only partly disclosed.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
The subscription surface identifies individual monthly, quarterly and annual plans, and an enterprise offer starting at INR 29,500. It does not attach a clear billing period or seat allowance to that enterprise figure. The quarterly plan includes 300 generative AI questions, while enterprise access lists unlimited generative chat and broader features. The page states that setup and fees do not apply. Individual rates are not visible in the current plan cards, and separate enterprise products require discussion.
This establishes a subscription structure and a partial price without enough detail to calculate a complete purchase across research, case management and diligence services.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
LegitQuest serves Indian advocates, law firms, corporate legal departments, government organizations, researchers and educational institutions. The research collection covers Supreme Court and High Court judgments, district and tribunal records, legislation and additional legal materials. Historical coverage extends to nineteenth century records, with different update schedules for court categories. Patrol supports litigation teams and external counsel coordination; LIBIL supplies litigation intelligence for business diligence.
These product descriptions establish supported users and work, but do not provide an exhaustive list of excluded courts, practice specialties or language limitations. International access is permitted under the terms without promising a general foreign law research service.
7 public documents
The public pages on file for LegitQuest, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.
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legitquest.com/policy4 signals
Client Data in Training, Prompt and Output Retention, Third Party Request and Subpoena Notice and 1 more
Read Oct 16, 2026
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Primary Law Corpus Provenance, Billing and Fee Posture, Court Disclosure Support
Read Oct 16, 2026
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Fabricated Citation Record
Read Oct 16, 2026
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Good Law Verification
Read Oct 16, 2026
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Refusal and Uncertainty Behavior
Read Oct 16, 2026
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Ethical Walls and Matter Segregation
Read Oct 16, 2026
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legitquest.com/terms-condition1 signal
Bar Guidance Alignment
Read Oct 16, 2026
Enterprise from INR 29,500; billing period unstated
- Single user plans have monthly, quarterly and annual periods.
- The enterprise starting figure is INR 29,500 with its period unstated.
- Setup fees are excluded.
- Separate products and enterprise scope require confirmation.
Individual monthly, quarterly and annual subscriptions are listed. An enterprise starting figure of INR 29,500 appears without a clear period or seat allowance.
Implementation: The subscription page states that there are no setup fees.
Note: The quarterly plan includes 300 generative AI questions. Enterprise lists unlimited generative chat. Individual rate figures are not visible in the plan cards; taxes are additional under the terms.
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
A published agreement or policy exists and none of it addresses the question either way, or the document that would answer it could not be read and the summary names the retrieval limit. The summary states which shape the silence takes: an improvement right granted that never names training, or no improvement right granted at all.
The public agreement and privacy policy do not expressly authorize or prohibit model training on prompts, uploaded client files or generated responses. The policy covers service information, including query logs and file metadata, and allows sharing with qualifying vendors. ZaiAN's product description adds confidential storage and source selection, without a specific training covenant or a user setting governing training.
General cookie based service improvement is not a defined permission to train on client matter content. The training treatment for the actual legal material sent to AI providers remains unstated.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged in public materials with no stated period.
Information is retained while the account is active or as necessary to provide services. A user can request account deletion, but legal obligations, dispute resolution and enforcement may justify continued retention. The policy also allows deletion delays and surviving backups, and excludes files held in common with other users from deletion. No separate active lifespan is specified for prompts, answers or uploaded matter files, and no fixed backup expiry follows the request. These conditions describe general retention and removal rights without a definite AI data schedule.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Segregation is asserted in public materials with no published detail on how it is enforced.
Patrol describes access by role, audit trails and permission based visibility for sensitive matters. ZaiAN also refers to access controls and lets users choose sources for analysis. Neither description explains enforcement at retrieval time, the inheritance of permissions from connected email or storage, or how a change to a matter wall affects an existing index. The privacy policy's exception for files shared with other users further distinguishes account deletion from removal of every shared item. Public access claims therefore do not establish the full operation of ethical walls across connected legal material.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Terms commit to notice where lawfully permitted. No transparency report located.
The incorporated privacy policy promises advance notice before disclosure in response to legal process unless law or a court order prohibits it. The stated purpose is to give the user an opportunity to challenge the demand, and LegitQuest says it will object to requests it considers improper. This is more specific than the general permission to share with vendors or with user consent. No transparency report supplies figures on demands or objections, and the policy does not set a fixed advance notice period for every request.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Sources are identified without stating the license or rights basis.
The research collection identifies Indian Supreme Court, High Court, district court and tribunal material, alongside legislation and other official legal texts. Primary material comes directly from its source. Current product coverage describes daily High Court additions and weekly district and tribunal updates. The terms exclude publicly available judicial and statutory material from the provider's proprietary content claim, but do not give a complete rights or licensing basis for every included source and editorial layer. Availability in a legal database does not itself establish that provenance detail.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
The vendor computes and surfaces subsequent history itself, with the method described.
iGraphics classifies later treatment and displays counts and links for cases that cite, distinguish or overrule a judgment. Its published walkthrough explains a warning for later overruling and caution for distinguishing treatment, then shows how to open the relevant later cases from the chart. Chronological views expose the sequence of subsequent references. This is LegitQuest's own analytical treatment feature rather than a named licensed commercial citator.
The walkthrough describes the function, but does not publish a benchmark for missed treatment or the error rate of its automated classifications.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No located public material addresses what the product does when it cannot ground an answer.
ZaiAN presents grounded answers with citations and allows the lawyer to inspect source material. The company does not describe a specific no answer response when selected sources contain no support, or a confidence threshold that causes generation to stop. Source choice and professional verification provide user controls without establishing model abstention. Assertions that the collection is verified also do not demonstrate behavior on an unanswerable question.
No published evaluation or product walkthrough shows how unsupported legal questions are refused or explicitly left unresolved.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
Damien Charlotin's current collection of AI Hallucination Cases has no matching entry for LegitQuest, ZaiAN, iDRAF or LIBIL concerning fabricated citations as of October 16, 2026. The research service supplies judgments and treatment links, and its agreement leaves professional judgment and verification with users. A lack of a matching judicial or disciplinary finding does not establish that generated research is error free.
The database records reported legal incidents; it does not evaluate the quality of every judgment entry, summary or diligence result.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Public materials refer to professional responsibility in general terms without naming guidance.
LegitQuest states that it does not practice law, is not regulated by a Bar Council and cannot replace a user's professional judgment. ZaiAN's role is to assist lawyers while they retain decisions about analysis and strategy. These statements address the general professional boundary, but do not apply a named bar opinion to confidentiality, consent, supervision or competence controls. The available guidance also does not compare duties across Indian jurisdictions or other markets. References to legal professionals and source verification therefore remain broader than an ethics opinion mapping.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Public materials claim time savings without addressing billing or disclosure, and the product sits inside a fee relationship between a lawyer and a client where those savings would change the bill.
The research product promises to reduce time spent finding and analyzing authorities for lawyers and firms, including work that can sit inside a client engagement. Its note and bookmark features organize the research, but no per matter record measures the AI work or separates saved time from time actually worked. No public fee guidance addresses how a lawyer should describe those efficiencies on a bill or disclose AI assistance to the client. The subscription charge is a separate software expense and does not resolve treatment of the lawyer's own fee.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
The privacy policy names Amazon as an example of infrastructure support and sets general conditions for sharing information with vendors. It does not supply a current inventory of subprocessors or identify the model providers receiving client content. No standard client consent wording, notification package or outside counsel AI disclosure document accompanies the public research and ZaiAN materials. Stated security certifications describe assurance categories without providing those client facing artifacts.
A firm therefore lacks a published package connecting its use of this particular AI service with the information a client might request.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of the record are available, short of a document level export.
Research answers expose citations and supporting legal material, while users can copy cited passages, keep notes and bookmark judgments. iGraphics adds links to later treatment, providing further material for human source review. Those features retain some ingredients of a verification account, but no described export combines the question, model version, retrieved sources and lawyer approval for each generated passage.
Patrol's general audit trails concern matter activity and do not expressly identify those AI details. A court disclosure would therefore require additional reconstruction beyond the stated research artifacts.