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HAQQ
HAQQ is a legal AI platform from HAQQ Inc., built in Beirut and sold to law firms, in house legal teams and individuals, with its deepest coverage in the Middle East and Europe. Two products run on one engine, Justinian. Legal AI Chat answers legal questions with a citation behind each claim and drafts contracts and memos from a firm's own templates. It also reviews and redlines counterparty paper and pulls parties, dates and change of control terms from a data room into one table. eFirm is practice management for law firms, covering intake and KYC checks, matters and hearings, time tracking, invoicing, a financial ledger, email and a client portal.
The AI works on the firm's own records. Before a third party frontier model writes an answer, Justinian classifies the request, detects the jurisdiction and language, retrieves sources and replaces personal details with stand ins. HAQQ maintains named statutes and codes for 33 countries and answers in more than 200. The interface runs in seven languages with native Arabic. Plans are priced per user and by credits, with a free tier, iOS and Android apps, and private cloud or on premises deployment for enterprises.
HAQQ, 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.
Alternatives to HAQQ
Vendors in the same categories as HAQQ whose graded profiles look most alike, with a line on what each product does.
Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
- MMagnarMagnar is a legal AI agent for lawyers in Latin America, built by Magnar SpA in Santiago, Chile.
- PParachuteParachute is a legal AI workspace for small and mid sized law firms from Veraty Tech Pty Ltd in Sydney, sold in Australia, New Zealand, the United Kingdom, the United States and Canada.
- OOrdalieOrdalie is a French legal AI platform for lawyers in private practice, in house legal teams and notaries.
- GGistGist, formerly Bradwell, is a legal AI workspace and deployment service from Bradwell Tech, Inc., a Delaware company led by cofounders Shir Wisenberg and Tzuf Paz-Argaman.
- LLucioLucio is a legal AI workspace built by lawyers at Zenlegal Technology Private Limited in Bengaluru, which contracts outside India through Lucio Inc and has users in 13 jurisdictions.
- LLiteraLitera is a Chicago legal technology company.
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.
Legal AI Chat is the product HAQQ leads with, and it exists to answer, draft and review with a model. Justinian, the engine underneath, rewrites the prompt, classifies intent, detects language, extracts entities, reads documents with OCR and routes the request to tools and a model, all before generation. It then runs sub agents, memory, deeper reasoning with lookahead and rollback, a citation audit and human approval steps.
A third party frontier model writes the final answer, and HAQQ says so plainly. Orchestration, retrieval, memory and safety stay in HAQQ's own layer. eFirm, the practice management product, is sold on its own subscription and would still run matters, time and billing without the AI. With both products, the AI reaches the firm's matters, documents and contacts, and the Legal AI Twin drafts in the firm's own style and templates inside its tenant.
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.
Answers cite the provision or case behind each line. Justinian retrieves statutes, case law, gazettes and regulatory databases for the detected jurisdiction before it writes, and where sources conflict or the law is unsettled it flags the uncertainty rather than picking a side. HAQQ runs two benchmarks of its own. The task benchmark puts 19 systems through 11 legal task categories and marks each output out of 50 against criteria that include hallucination and source linking.
In the July 2026 run Justinian averages 45.8, with Spellbook, LexisNexis +AI and ChatGPT ahead of it on contract drafting, legal research and plain language explanation. A cross domain study draws on public sets such as LegalBench, CUAD and LegalCiteBench. The individual tasks are not published, and nothing describes a check of whether a cited case was later overturned. A claim of 85% fewer hallucinations in HAQQ testing appears without a method beside it.
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.
Human review is written into the terms. Court submissions, legal advice, regulatory analysis, client communications, settlement analysis, deadline calculation and professional opinions need review by a professional before anyone relies on them. Users stay responsible for verifying citations, dates, calculations and deadlines. In the product, the agent harness carries guardrails, audit trails, lookahead with rollback, and configurable human approval before consequential agent actions.
Each answer shows the sources behind it and the credits it used. A contract review returns the analysis first, then the corrected draft and a comparison of what changed. Which agent actions pause for approval by default, and what happens after an agent step goes wrong, are not published.
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.
More than 17,000 legal teams across law firms, in house departments and enterprises use the product by HAQQ's count, and the mobile app reached 7,500 downloads after its July 2026 launch. Named users are few. Zouhdi Yakan, a partner at Yakan Law Firm, recommends eFirm to other firms for practice management, and the president of the Beirut Bar Association is quoted on the home page. In October 2026 HAQQ signed a protocol to become the exclusive technology partner of the New Cairo Bar Association, which has about 22,000 lawyers, with the association's requirements still to be worked out.
Partnerships with the Jordanian Arbitrators Association, Amman Arab University and ONEIC in Oman were announced without a published deployment or result. Outcome figures such as 70% less drafting time and a 95% review pass rate come from HAQQ's internal benchmarking. The claim that firms move from one contract a day to ten or fifteen comes from what firms report, with no firm named.
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 terms give matter data its own section on confidentiality and privilege. HAQQ acknowledges that matter data may carry attorney client privilege, work product protection and professional secrecy. It limits its own access to support, security, customer instruction and legal compulsion, and states that such access waives no privilege. The agreement bars training or fine tuning any foundation, cross customer or third party model on customer data, prompts or outputs without a separately signed agreement.
Each firm is its own tenant, eFirm permissions run record by record, and HAQQ describes ethical walls and cross matter isolation as part of the platform. Before a Legal AI Chat request reaches an outside model provider, HAQQ's servers swap names, emails, phone numbers, addresses, company names and account numbers for stand ins. The request stops if that step fails. The rest of the content still goes to the provider, and the terms do not say what the provider retains.
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.
As the terms put it, HAQQ is a technology provider, not a law firm, giving no legal advice, opinions or representation. Users keep responsibility for professional judgment, client advice, filings, deadlines, conflicts and the supervision of staff and technology, and higher risk output needs a professional's review before use.
The product is also sold to people who are not lawyers. The mobile app and the plans for everyone promise a clear answer to any legal question, a reading of a lease or a drafted contract, and HAQQ estimates $25K a year in legal fees avoided per consumer. Its consumer guides carry a line saying they are legal information, not legal advice. Jurisdiction limits are stated: 33 countries have a maintained set of statutes and codes, and more than 200 others get general reasoning only.
A guide walks lawyers through ABA Formal Opinion 512 and the duties of competence, confidentiality, candor and supervision.
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.
Controls are described as aligned with ISO 42001, the AI management standard, without certification, and no AI policy, governance framework or accountable owner is published. Testing is public in outline. The task benchmark gives 19 systems the same prompt for each of 11 legal task categories and marks every output out of 50. The criteria include Sharia, statute, forum, clause construction, risk, hallucination, partner readiness and source linking.
A second study runs 25 benchmarks across legal, tax, journalism, general and safety work, including political neutrality, robustness and adversarial testing.
The limits are stated alongside the results. HAQQ builds the benchmark, runs it and competes in it, and coverage leans toward corporate and commercial drafting and research, leaving some practice areas covered lightly or not at all. Who marks the outputs is not stated. An open source model router under AGPL 3.0 recommends a model for each legal task from the same results.
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.
Customers set their own retention period. Deletion runs automatically when it ends and produces a verification log, and data can be exported at any time. After a subscription ends there is a 90 day export window, the customer chooses return or deletion, and deletion is the default. Data that cannot yet be deleted is anonymized or made inaccessible until it can be. HAQQ staff have no access to customer matters by default, and support access to a matter needs the customer's approval and is time limited.
Book III of the terms serves as the data processing agreement. It lists subprocessor categories (hosting, storage, AI infrastructure, identity, payments, communications, analytics and security tools) and gives customers 15 days to object to a new one. The named subprocessor list is sent on request. Breaches affecting personal data are reported without undue delay, within 72 hours where feasible, and data is encrypted in transit and at rest.
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, last updated 29 June 2026 and governed by Delaware law, set out the allocation of loss. Each party's total liability in any 12 month period is capped at the fees paid or payable for the services behind the claim, and indirect and consequential losses are excluded. Fraud, willful misconduct, gross negligence, indemnity obligations, material breach of confidentiality and misuse of the other party's intellectual property sit outside the cap.
Against claims that the services infringe third party intellectual property, HAQQ defends customers, excluding customer data and materials, third party integrations, unsupported changes and combinations it did not supply. It warrants that the services are provided in a professional and workmanlike manner and offers the rest as is. For AI output the terms are explicit. HAQQ is not liable for inaccuracies, hallucinations or bias, or for reliance without human review, and customers indemnify HAQQ for claims arising from their own professional services.
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.
eFirm connects to Microsoft SharePoint, its only document storage integration today. With SharePoint linked, a Word file opens and edits in place from eFirm and saves back to both systems, keeping version history and tracked changes. Without it, files sit in eFirm's own storage and are downloaded, edited and uploaded again. Email is sent and received inside eFirm and logged to the right client and matter, and eFirm syncs with the Outlook calendar.
NetDocuments and World-Check screening appear among eFirm's connections with no description of what moves between them. Legal AI Chat exports drafts to Word and PDF without a watermark on paid plans, and track changes editing with eFirm integration comes with the Pro plan. HAQQ also offers an API and an MCP server so other tools can call the engine, and payments run through its own eWallet.
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.
The same software runs three ways. HAQQ Cloud is operated by HAQQ in a region the customer picks and isolated per firm. A private cloud runs inside the customer's own tenancy with customer held keys. A third option is fully on premises. Hosting regions are the European Union, the United States and the Middle East.
Default residency is global; the Business plan adds regional residency in the GCC, the EU or the United States, and Enterprise adds custom residency, on premises deployment and customer managed keys. Contractual residency is written into the order form. Coverage is kept separate from residency, since serving a country does not mean processing there, and cross border transfers may happen for support, security, billing, subprocessors and redundancy under standard contractual clauses or adequacy decisions.
Legal AI Chat requests still go, with personal details replaced, to an outside model provider whose processing region is not given.
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.
Controls are designed to align with the SOC 2 Trust Services Criteria, ISO 27001 and ISO 42001, and HAQQ meets GDPR obligations as a processor. It is explicit that this is alignment and not certification: it holds no SOC 2 Type II report and no ISO certificate. The SOC 2, ISO 27001 and ISO 42001 badges on the site are each marked compliant and not certified.
Security questionnaires, evidence packs and audit requests go through a contact form, and HAQQ offers to confirm the exact scope in writing where a certificate is a procurement requirement. A responsible disclosure policy and a security.txt file are published. Book III gives customers an audit right at most once in any 12 month period, with the customer paying HAQQ's reasonable costs.
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.
A third party frontier model writes each final answer, and Justinian is shown routing across models from OpenAI, Anthropic and Google. The specific models in production are not named; the models in HAQQ's benchmarks are competitors, not its stack. Model choice is a configuration setting, so a change of model is not a rebuild.
AI infrastructure providers are one of the subprocessor categories in Book III, which gives customers 15 days to object to a new subprocessor. The named list is sent only on request, and no notice covers a change of model within a provider. Under the terms, customer data, prompts and outputs may not train any third party model.
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.
Prices are published in USD, and the self serve plans start without a sales call. Legal AI Chat is priced per user with a monthly allowance of credits. Free comes with 20 credits as a sign up gift, and Starter is $30 a month with 100 credits. Pro is $100 with 360, and Business is $300 with 1,080 plus regional residency and the firm wide Legal AI Twin. Top up packs run from $1 to $100 and do not expire. Larger packs and higher tiers buy more credits for the same money. eFirm is priced per seat with a two seat minimum, Boutique at $25 and Purple at $60 per user a month, with free trials of three to seven days.
Annual billing gives two months free, students get 60 credits a month for $15, and Enterprise is quoted. The credits a request uses depend on the prompt, attachments and research depth, so its cost is not known before it runs.
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.
Buyers range from lawyers and law firms to in house legal teams, founders, students and individuals. Enterprise is aimed at law firms, corporate legal teams and regulated businesses in banking, telecom and government. The prompt library spans 391 prompts across 23 practice areas, and use case pages cover contract drafting and review, litigation support, due diligence, and banking and finance.
Jurisdiction depth is stated. Thirty three countries across the Middle East, Europe, Latin America and Asia have a maintained set of named statutes and codes, while more than 200 get general reasoning and drafting only. The interface runs in seven languages, with native right to left Arabic. eFirm shapes matter types and fields for litigation, arbitration and government procedures. Practice areas the product does not support are not listed, and HAQQ's own benchmark leans toward corporate and commercial work.
9 public documents
The public pages on file for HAQQ, 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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haqq.ai/security2 signals
Prompt and Output Retention, Court Disclosure Support
Read Oct 12, 2026
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haqq.ai/terms-and-conditions2 signals
Client Data in Training, Third Party Request and Subpoena Notice
Read Oct 12, 2026
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docs.haqq.ai/changelog/trust1 signal
Outside Counsel Guideline Readiness
Read Oct 12, 2026
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Fabricated Citation Record
Read Oct 12, 2026
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haqq.ai1 signal
Billing and Fee Posture
Read Oct 12, 2026
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Bar Guidance Alignment
Read Oct 12, 2026
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haqq.ai/coverage1 signal
Primary Law Corpus Provenance
Read Oct 12, 2026
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haqq.ai/justinian1 signal
Refusal and Uncertainty Behavior
Read Oct 12, 2026
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Ethical Walls and Matter Segregation
Read Oct 12, 2026
From $25 per user/month
- HAQQ sells two things: an AI legal chat and software to run a law firm.
- The AI chat is free to try, then $30, $100 or $300 a month per person, each with a set number of credits.
- Extra credits come in packs from $1 to $100 and never run out.
- The law firm software costs $25 or $60 a month per person, for at least two people.
- Big organizations get a custom price after a demo.
Two products, priced separately with no bundle discount. Legal AI Chat is priced per user per month with a monthly allowance of credits. Free gives 20 credits as a sign up gift. Starter is $30 for 100 credits, research with citations, memory and Word and PDF export. Pro is $100 for 360 credits, Deep Analysis Mode, track changes editing and eFirm integration. Business is $300 for 1,080 credits, the firm wide Legal AI Twin, MFA and regional residency in the GCC, EU or United States.
Top up packs cost $1, $5, $10, $50 or $100 and never expire, and higher tiers get more credits per pack. eFirm is priced per seat per month with a minimum of two seats. Boutique is $25 for matters, tasks, documents, time tracking, billing and accounting, with 1 TB a user. Purple is $60 and adds client retainer and trust accounts, several workspaces with local hosting, advanced CRM, KYC and screening, with 4 TB a user.
Annual billing gives two months free. Enterprise covers custom seats, residency, on premises deployment and a single contract, priced on proposal. A student program gives 60 credits a month for $15.
Implementation: Not stated. eFirm onboarding includes configuring matter types, fields, permissions and workflows with the customer before migration, and customization services and Elite Support are described in the terms without a published price.
Note: Credits reset each period and unused plan credits do not roll over; purchased top up credits do not expire. How many credits a request uses depends on the prompt, the documents attached and the research depth, so the cost of a request is not known before it runs. HAQQ may change what credits are worth and how fast actions use them, subject to notice terms. eFirm offers free trials of three to seven days depending on plan and billing period; Legal AI Chat has no trial beyond the free credits. Monthly plans are billed monthly and can be cancelled at any time.
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?
The published terms prohibit training on customer content. Not a policy page, the agreement.
The terms bar HAQQ from using customer data, matter data, prompts, inputs, outputs, user content, client data or support data to train, fine tune or improve any model. The ban covers foundation, cross customer and third party models, and lifts only with a separately signed agreement. Service improvement relies on anonymized, aggregated telemetry with no customer content. The Legal AI Twin in eFirm adapts to a firm's own knowledge inside that firm's tenant and feeds no other model.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The customer controls the retention window, by product configuration or by contractual instruction, but zero retention is not stated as available.
Customers set the retention period, and purging runs automatically when it lapses, with a verification log. eFirm adds retention schedules and legal holds per document class. After a subscription ends the customer has 90 days to export, then data is deleted from production systems, subject to backups and legal holds. No zero retention setting is described for Legal AI Chat, and what the outside model provider keeps is not stated.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own permission model, documented, requiring the firm to keep it aligned.
eFirm keeps its own permission model. Read, add, update and delete rights are set per feature and scoped to everyone, no one, the records assigned to a user or the parent record, and every action is logged against a name. Each firm is a separate tenant, and HAQQ describes cross matter isolation and ethical walls across the platform. The firm configures these permissions in eFirm during onboarding; access rules are not inherited from a document management system.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.
The terms let HAQQ access matter data where law, a court order, a regulator, a sanctions obligation, a security investigation or legal process requires it. They contain no commitment to tell the customer about such a request or to resist it, and HAQQ publishes no transparency report. Book III does require HAQQ to warn the customer when an instruction would breach data protection law.
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 coverage list, last reviewed 26 August 2026, names the statutes and codes maintained for 33 countries. Examples are the French Code civil and Code du travail, Germany's BGB and HGB, and Lebanon's Labor Code, Civil Code and Rental Law. Justinian also draws on case law, gazettes, regulatory databases and the USPTO, EUIPO and WIPO registers, and can look things up on the web. Where the case law comes from, the license behind each source and how often the sources are updated are not stated.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
Each claim in an answer carries a citation the user can open, and Justinian runs a citation audit and flags conflicting or ambiguous authority. Nothing describes a check of whether a cited case has been overturned or a provision amended since. The terms leave verification of citations and authorities to the user.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The vendor describes refusal or abstention behavior in public materials.
Justinian works inside legal domains and declines to speculate outside them. Where sources conflict or the law is ambiguous, it flags the uncertainty instead of choosing an answer, and legal claims are generated against retrieved sources so an unsupported claim is visible. HAQQ's benchmark marks hallucination as one criterion, but no published result isolates how often the engine declines to answer. Its engine page tells lawyers to test any legal AI on unsettled law, where a system built for professional work should say the ground is uncertain.
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.
The AI Hallucination Cases database maintained by Damien Charlotin, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming HAQQ or its Justinian engine. HAQQ's answers attach a citation to each claim, and its terms require users to verify citations before relying on them.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Public materials engage with at least one named ethics opinion.
A HAQQ guide on AI ethics in law, published in May 2026, walks through ABA Formal Opinion 512 and the duties of competence, confidentiality, communication, candor, supervision and reasonable fees. It sets them beside UN and EU frameworks and the EU AI Act, and notes that the opinion asks lawyers to discuss AI use where a client would reasonably want to know. The terms leave bar, court and client consent obligations with the user. No mapping of the product to guidance from the Gulf, Levant or North African bars HAQQ serves is published.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
A usable record of AI assisted work exists with no published fee guidance.
eFirm ties AI work to the matter. Chats, drafts and documents live on the matter record, time is tracked against the matter as the work happens, and invoices are built from the same record. Every action is logged to a named user and can be exported. HAQQ claims 70% less drafting time and a jump from one contract a day to ten or fifteen. It offers a billable hours calculator but no guidance on how firms should bill or disclose AI assisted work.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The material exists behind a sales conversation or an executed agreement.
Book III commits HAQQ to keep a list of material subprocessors with their function and processing region, and the named list is sent on request through the contact form. The subprocessor categories, the data processing terms and the security overview are published, and an executed DPA or standard contractual clauses can be requested. Model providers appear on the engine page without a list tied to the contract. Customers who need a certificate rather than a control set are asked to say so early, and HAQQ confirms the compliance scope in writing.
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.
Each answer shows the sources behind it and the credits it used, chats stay on the matter, and the platform logs every action to a named user, with log exports depending on the subscription tier. No export ties a filing to the model used, the sources retrieved and the person who verified it, and no court disclosure template is published.