Avvoka opened early access to headless templating, which lets an AI assistant connected to Avvoka build document templates as well as draft from them. A user hands the assistant a Word document or an existing template and describes how it should work, and the assistant sets up the questions, conditions, repeating sections and calculated values, then saves a draft in Avvoka. The release names Claude and Copilot for early access, with Harvey and Legora to follow, though its availability note lists only customers already using the Claude integration.
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Avvoka
Avvoka turns a firm's previous work into approved precedents and reusable document workflows. Curate compares clauses across uploaded agreements, shows alternative wording, and lets a lawyer select or combine the language before it becomes a template. The automation platform adds questionnaires, conditional clauses, and rules so confirmed matter facts produce a consistent draft. Teams can then negotiate, assign comments, preserve versions, control permitted changes, and sign within a governed process.
MassDraft extends this to large document sets, with input validation, amendments through a data table, and preparation of Docusign signing packs. Avvoka also exposes its drafting engine inside other assistants. Claude and Microsoft 365 Copilot connections are live; Harvey is in early access, and Legora is identified as a planned beta for the fourth quarter of 2026. Templates, approved clauses, amendments, and exports remain governed through Avvoka.
The platform serves law firms and corporate legal departments across transaction work, real estate, and commercial agreements. Curate can also be used on its own to produce a Word precedent, without adopting the entire automation workflow.
Avvoka, 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 Avvoka
Vendors in the same categories as Avvoka 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.
- LLexagleLexagle is a Singapore based contract management platform with drafting, negotiation, approvals, electronic signatures and a shared repository.
- CConga CLMConga CLM is the contract lifecycle management product in Conga's commercial operations suite.
- EeBreviaeBrevia is a contract intelligence suite for law firms, corporate legal departments, financial institutions, and professional services teams.
- SSpotDraftSpotDraft is a contract lifecycle platform for in house legal teams and their sales, finance, HR and procurement colleagues.
- AAracor AIAracor is a deal platform that reads the documents behind a transaction and ties every finding to the language it came from.
- BBigleBigle, formerly Bigle Legal, combines contract lifecycle management with Libra, an AI assistant for legal departments and the business teams that work with them.
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.
Avvoka combines AI assisted template creation with a document assembly and negotiation system. Curate compares clauses across uploaded agreements and proposes a reusable precedent, while the lawyer chooses the language to retain. MassDraft uses AI to identify inconsistent input data before generating many agreements. Beneath these functions, questionnaires, conditional clauses, approved libraries, version history, negotiation controls, and signatures remain usable without a model.
The assistant connections bring that governed drafting engine into other tools. Removing AI would remove comparison and preparation capabilities, but the structured document workflow would continue to operate. The product therefore has an AI engine within a broader drafting platform.
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.
Curate works from files supplied by the customer, compares versions of each clause side by side, and lets the lawyer select, combine, or rewrite the wording before it enters a precedent. Subsequent document assembly follows approved template rules. The drafting process is therefore source based, though deterministic assembly cannot show that an AI synthesis or the underlying legal language is correct. Avvoka advertises millions of drafted documents without hallucinations without publishing a reproducible evaluation or failure analysis.
The product does not supply a legal authority citator. Its source controls concern the firm's own contract language and require professional review.
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.
Curate separates model assistance from adoption into the firm's precedent. It compares uploaded clauses and can combine wording, but no clause enters the template until the lawyer approves it. After approval, document generation follows the template's rules. Negotiation controls can lock clauses and route work to named people, with comments assigned as tasks and versions preserved. MassDraft adds validation of input data before bulk generation and lets users compare amendments before execution.
These controls define both automated actions and review surfaces. Approval of a clause is an explicit boundary for Curate, although the vendor does not publish numerical stopping conditions across all AI functions.
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.
Named users describe Avvoka in production. Maddocks identifies its replacement of a legacy platform and reports improved stability and easier adaptation as document requirements change. Ropes & Gray describes adoption and workflow improvements, while Fried Frank's knowledge leadership discusses turning past deal language into approved standards through Curate. The homepage also advertises drafting eight times faster and adoption by a quarter of the AmLaw 100.
Those aggregate figures are not accompanied by a defined measurement period or method. The attributed accounts establish actual use and customer context, but do not isolate an independently measured benefit from the AI functions.
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.
Documents are encrypted at rest, connections use HTTPS, and administrators can require a second authentication factor or single sign on. Curate and the assistant drafting offering promise that customer documents will not train a shared model. That wording does not expressly prohibit all forms of private model adaptation. The legal advice disclaimer also states that information supplied to Avvoka does not attract legal advice privilege through a relationship with the software provider.
The assistant offering claims that permissions and ethical walls carry over, but does not explain enforcement. No readable customer agreement provides a complete confidentiality, retention, and model provider commitment.
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.
A full advice line statement is published on a dedicated page, with no engagement with the professional rules. The disclaimer says Avvoka is not a firm of solicitors, does not practice law and does not give legal advice. It is not the user's solicitor or a substitute for a solicitor's advice, and has no solicitor client relationship with the user. A user who enters into a document created on the platform does so at their own risk and represents themselves.
It also lists what the product does not do: it does not review information for legal accuracy or sufficiency, draw legal conclusions or give opinions on the documents a user creates, or apply the law to the user's circumstances. It says information provided is not covered by legal advice privilege. No Solicitors Regulation Authority guidance, bar rule or ethics opinion is named, and nothing addresses a firm's supervision or competence duties when generated drafting reaches a client. The page opens as terms for use of the website, though its substance plainly covers documents created on the platform.
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.
Information security controls and an information security management policy are set out, with no corresponding AI governance framework. The materials do not identify a model risk owner, release approval process, evaluation regime, or testing of differences across languages, legal contexts, and document types. Customer approval in Curate gives a lawyer control over the content of a template. It does not explain the vendor's testing of the models that propose that content.
ISO 27001 certification concerns information security and is not a statement that model fairness, legal reliability, or bias has been independently assessed. No AI management certification is identified.
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.
Security controls include AES 256 encryption at rest with a separate initialization vector per document and a rotating master key; HTTPS for all connections, including the API; BCrypt password hashing, with passwords kept out of logs and rotation rules available; enforceable two factor authentication; SSO only mode with automatic removal of leavers; real time replication of production databases with hot standby failover; and encrypted backups.
Annual black box penetration testing uses only CREST approved providers, with the latest scorecard available to clients on request. There is a published vulnerability reporting process with a PGP key, and the build pipeline is continuously tested for CSRF, XSS and SQL injection. A breach procedure commits to identifying compromised information and notifying affected individuals and the bodies the law requires. No retention period is stated; the GDPR policy says only that data is kept when necessary and deleted on a data subject's request. No subprocessor list goes beyond the named infrastructure providers.
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.
Nothing published says who bears the loss when the product is wrong. The published legal set is a GDPR policy, a privacy policy, a legal advice disclaimer, a signing disclaimer and a security page. There is no terms of service, customer agreement, subscription agreement or service level agreement, so there is no indemnity, liability cap, warranty, warranty disclaimer or insurance statement to read. The legal advice disclaimer says a user who enters into a document does so at their own risk, but that concerns advice, not loss.
It does not cover a defective template, a clause assembled wrongly, a negotiation lock that failed, or a generated draft that departed from the firm's standards. No standard limitation clause is published either.
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.
Assistant connections expose templates, approved clauses, amendments, and document export through other working environments. Claude and Microsoft 365 Copilot are listed as live, Harvey as early access, and Legora as a planned beta in the fourth quarter of 2026. Curate names an iManage integration, while API and MCP access support connections to business systems. MassDraft describes Docusign envelope preparation, signature status tracking, and combining signed counterparts for download.
These sources explain actions beyond a partner logo. They do not publish complete field mappings, configuration steps, or permission synchronization behavior across every connector, so implementation still needs discussion with the vendor.
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.
Avvoka is delivered as a hosted platform. Its general security materials name infrastructure in the United Kingdom, Europe, the United States, and Australia through AWS, OVH, and Azure. Curate and the assistant drafting offering separately specify European Union residency. The GDPR policy describes an older arrangement with a United Kingdom application server and French backup, so that policy alone does not explain the full current regional offering.
The materials do not map every model operation to a processing location or define single tenant deployment options. A customer needs the selected product and contractual region to establish the boundary for its own content.
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.
A named standard is backed by a stated history and a published document, without the certifier or scope. Avvoka says it has been ISO 27001 certified continuously since October 2017, with annual external audits, and it publishes its signed ISMS policy as a PDF anyone can download. A period, an audit cycle and a readable governing document go well beyond a badge. Penetration testing is annual, black box and done only by CREST approved providers, with the latest scorecard available to clients on request.
Avvoka gives no certification body, certificate number, scope or statement of applicability, so a buyer cannot tell which systems and locations the certificate covers. There is no trust portal.
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.
AI comparison, synthesis, and validation functions are described without the model versions or providers that run them. Claude, Copilot, Harvey, and Legora are named as assistant connections, not a complete account of Avvoka's internal model stack. Naming the infrastructure providers AWS, OVH, and Azure likewise leaves open which models receive document content. Curate limits its input to uploaded files and promises no training of a shared model, but no public register connects each AI feature to its processor and retention terms. A commitment to notify customers of changes to that underlying supply chain is also not published.
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.
No pricing information is published at any level, including the unit of charge. The navigation has features, solutions, resources and company sections only, and the footer has no pricing entry. Every commercial route on every page read is a demo booking, and there is no self service signup. Nothing says whether the platform is licensed per user, template, document, matter or firm. No tier names, minimum commitment or term, or implementation or template building cost are given, although building automated templates from precedents is plainly a delivery project.
No customer agreement is published either, so no payment terms show the charging structure. A buyer can learn nothing about cost without entering a sales process.
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.
Avvoka serves law firms and corporate legal teams, with distinct workflows for template authors, document users, and managers. Current examples include mergers and acquisitions, real estate, commercial agreements, and procurement. A share purchase agreement can be generated alongside disclosure letters and related papers from the same transaction facts, while MassDraft addresses large repapering exercises. Curate helps legal teams turn prior deals into approved precedents without beginning from an empty library.
The product does not publish a complete jurisdiction or language matrix, or define which practices require unsupported content. Customers remain responsible for the legal suitability of the clauses and rules they approve.
5 public documents
The public pages on file for Avvoka, 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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avvoka.com/curate1 signal
Client Data in Training
Read Oct 16, 2026
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avvoka.com/gdpr-policy1 signal
Prompt and Output Retention
Read Sep 4, 2026
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avvoka.com/headless-drafting1 signal
Ethical Walls and Matter Segregation
Read Oct 16, 2026
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Bar Guidance Alignment
Read Sep 4, 2026
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Fabricated Citation Record
Read Oct 16, 2026
Tracked changes at Avvoka
Avvoka launched Curate, a standalone product that reads a firm's historical transaction documents, extracts the clause variations that performed best, and generates templates from them. The output feeds back into Avvoka's automation and AI drafting workflows.
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 public policy or trust page states no training on customer content, with no matching term located in the published agreement.
Curate and Avvoka's assistant drafting offering promise that customer documents are never used to train a shared model. This is a public product promise, with no matching readable customer agreement. Its scope is shared models; it does not expressly rule out adaptation confined to the customer's own service. Curate also states that it acts on uploaded files rather than indexing the customer's entire document system. A firm needs the contract to establish broader training restrictions.
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.
Retention is acknowledged in published material with no period stated. The GDPR policy addresses it under its own heading and says only that Avvoka ensures data is retained when necessary, with deletion following a request by a data subject. No period appears, no configuration option is offered, and nothing separately addresses how long drafts, template content, clause libraries, negotiation history or the prompts behind generated drafting are held, either during a subscription or after it ends.
The platform's own design points the other way and is recorded because it bears on the question: every version of a document is automatically saved and negotiation data is retained across a portfolio to build the analytics the product is sold on, so material plainly persists by design. The deletion route published is a data subject request to a data protection mailbox, which is a personal data right rather than a customer's contractual entitlement to return or destruction of its documents.
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.
Avvoka's assistant drafting offering states that permissions and ethical walls carry over while documents remain in Avvoka. Curate separately acts only on uploaded files and names an iManage integration. The materials do not explain how permissions are evaluated for each request, how changed source rights propagate, or how a conflict between matters is enforced. Single sign on and access revocation protect account access, but do not supply that missing enforcement detail.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
No located term or policy addresses third party requests for customer data.
No commitment covers notifying a customer when a subpoena, court order, or government demand seeks its data. The GDPR policy addresses security incidents and notification of affected people and required authorities, which is a different event from compelled disclosure. No readable customer agreement supplies a notice period, an exception for legally prohibited notice, or a process allowing the firm to contest a demand before information is produced.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
The customer's own agreements, precedents, and approved clause library are the principal material. Curate compares uploaded examples and lets a lawyer choose the wording that will become a reusable standard. The product does not identify a licensed legal authority collection or a publisher supplying case law behind its drafting output. A firm's rights to use its source material and the currency of that language remain separate from the platform's ability to assemble documents.
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.
Avvoka does not describe a citator or automated analysis of subsequent treatment of legal authority. Its primary outputs are assembled agreements, negotiated drafts, and comparisons of contract language. Updating a clause centrally can improve consistency across future drafts, but that is a content maintenance process rather than a determination that cited law remains valid. Lawyers must establish the legal currency of the provisions they approve and any authority incorporated into them.
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.
No abstention response is specified for when a model lacks enough support for a synthesis or proposed template. Curate requires a lawyer to approve each clause, and MassDraft identifies input inconsistencies before bulk generation. Those controls expose work for review without describing a confidence threshold or an automatic route for every unsupported result. Clause locks constrain permitted document changes; they do not show that a model can recognize when its proposed wording is unreliable.
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.
No reported citation fabrication incident naming Avvoka or Avvoka Limited appears in the AI Hallucination Cases database reviewed on October 16, 2026. The product primarily assembles approved contract language, but AI assistance with synthesis and template creation still requires verification. The absence of a named reported incident says nothing about whether every generated clause is accurate or suitable, and it does not replace professional review of legal authority used in an agreement.
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.
Professional responsibility is engaged in general terms, and no authority is named. The legal advice disclaimer uses the vocabulary of the professional rules. Avvoka is not a firm of solicitors, does not practice law and does not give legal advice; there is no solicitor client relationship; it is no substitute for a solicitor's advice; and information provided to it does not attract legal advice privilege. Naming privilege and the solicitor client relationship goes beyond a bare disclaimer.
No Solicitors Regulation Authority guidance, code of conduct, bar rule or ethics opinion is cited anywhere, and no jurisdiction is named, although the company operates from London and Singapore. Nothing sets out what a firm must do to meet its own supervision and competence duties when generated drafting reaches a client.
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.
Time savings are the central promise, and nothing addresses the billing consequence. The site offers templates in hours and days rather than weeks and months, contracts created in minutes, less manual work, lawyers freed from repetitive work to focus on strategy and clients, and MassDraft for large repapering projects. None of it says what happens to the bill when a day of drafting takes an hour. No record of AI assisted work by matter is described, no fee or disclosure guidance is published, and nothing addresses what a client is told when the platform assembled and drafted a document.
The analytics layer comes nearest: it tracks document activity, negotiation patterns and individual negotiator performance across a portfolio, so the data on who did what exists. It is presented as a tool for better drafting and client value, not as a billing or disclosure record.
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.
Avvoka publishes an information security policy and offers penetration test results to customers, but does not publish a complete model provider register or a client consent pack. Curate's promise against training a shared model provides one useful statement for client discussions. Infrastructure names and assistant integrations do not identify every processor receiving content. A firm would still need contractual and configuration details to answer a client's requirements for AI use, subprocessors, and disclosure.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses court disclosure or verification certification.
Nothing addresses producing a record of AI assisted work. The platform keeps a thorough drafting history: it saves every version, records how each clause is marked up, tracks every decision as a deal progresses, and reports negotiation patterns across a portfolio. None of it separates machine generated text from human drafting. Nothing identifies which model produced a clause, nothing marks generated language once it is in the document, and no export attributes authorship for disclosure to a client, counterparty or tribunal.
What is captured is document change, not model authorship. No disclosure template or guidance is published, and with no customer agreement there is no contract term on it either.