G
Gavel
Gavel, formerly Documate, makes two legal products under its own name. Gavel Exec is AI contract review and drafting for transactional lawyers and in house teams, working in Microsoft Word and on the web. It redlines whole agreements against a firm's precedent and playbooks, drafts and rewrites clauses, benchmarks terms against market data, and answers questions about a document with explanations of its reasoning. Gavel Workflows is no code document automation that turns intake questionnaires and Word or PDF templates into finished documents, with client portals, a template and court form library, and tools for selling legal services online.
It is used heavily in estate planning, family law, real estate and probate. The company says its AI features are optional, that it holds zero data retention agreements with its AI providers including OpenAI, and that Gavel Exec is SOC 2 Type II certified. Gavel was founded by Dorna Moini, a former Sidley Austin lawyer, is based in Los Angeles, and contracts as Documate, Inc. d/b/a Gavel. Relativity acquired Gavel in June 2026 and plans to bring its Word drafting into RelativityOne.
Gavel, 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 Gavel
Vendors in the same categories as Gavel 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.
- SSpotDraftSpotDraft is a contract lifecycle platform for in house legal teams and their sales, finance, HR and procurement colleagues.
- BBigleBigle, formerly Bigle Legal, combines contract lifecycle management with Libra, an AI assistant for legal departments and the business teams that work with them.
- BBounselBounsel combines contract lifecycle management with an AI add on for document questions, summaries and clause extraction.
- CCobbleStone SoftwareCobbleStone Software sells Contract Insight, a contract lifecycle management platform in the market since the mid 1990s, with a proprietary AI layer called VISDOM.
- CContractbookContractbook brings contract drafting, signatures, data extraction and ongoing obligations into a shared workspace.
- DDocsumDocsum is a New York company selling AI contract software to in house legal teams, with finance, procurement and sales teams as secondary users.
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.
The models are the product for one of the two lines and optional for the other. Gavel Exec is built on AI: review, redlining against playbooks, drafting, market benchmarking and document chat are all model output. Gavel Workflows is rules based document automation with conditional logic, and the security page says its AI features, including AI onboarding for Workflows, are entirely optional and that many customers use the automation without enabling AI.
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.
Gavel Exec combines semantic retrieval with matching of text across customer precedents, matter files, EDGAR, government sources, and the open web. Its described analysis considers exact wording, conceptual similarity, and source verification. Answers and revisions include explanations intended to help a lawyer validate the result. That architecture provides a basis for tracing contract analysis, but the public claim that the product flags five times more issues than manual review has no reproducible sample or method.
Market benchmarking also requires judgment about comparable agreements. Gavel does not publish a detailed failure analysis showing where extraction, clause interpretation, or proposed revisions become unreliable.
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.
Proposed redlines and negotiation comments appear within Word, where the lawyer can review and revise them. Playbooks supply preferred positions, and explanations help a user assess why a change was suggested. Projects keep instructions and reference files together, while shared Workspaces support team use. The terms require users of experimental features to review and verify results and warn that those outputs may be incomplete or incorrect.
These are identifiable review surfaces and responsibilities. The materials do not define a confidence based stopping rule, a required escalation route for an unsupported answer, or a recovery process after an erroneous revision has been accepted.
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.
Martin Algie of MIA Contract Lawyers describes using Gavel Exec for negotiation and redlining, with an attributed account of how it fits his work. Gavel also identifies more than 2,000 law firms and legal teams using its products. A separate Streeter Law Firm account describes preparing an estate plan in 30 minutes through Gavel Workflows. That outcome concerns rules based document automation and does not isolate an AI effect.
The available examples establish recognizable users and practical use cases, but do not provide a dated, controlled before and after evaluation of Exec's accuracy, review completeness, or total professional effort.
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.
Customer prompts and document content are not used for training, and AI providers, including OpenAI, operate under zero retention agreements, Gavel states. Customers have separate databases and file storage, with controls over whether Workflows data persists. The incorporated privacy policy nevertheless permits analysis of anonymized builder questions to improve questionnaire suggestions, while expressly excluding the answers.
That narrower content permission requires attention alongside the general no training statement. Project access controls are asserted without a complete matter segregation model. The terms also distinguish the software relationship from privileged communications with a lawyer, leaving the firm responsible for protecting client confidences.
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.
Gavel's terms state that the company is not a law firm, supplies no legal advice, creates no attorney client relationship, and takes no share of legal fees. Users remain responsible for professional conduct requirements, including unauthorized practice, communications, and confidentiality. This distinction is relevant to Workflows, which lets firms offer client intake and paid legal services through their own interfaces.
The lawyer must establish the client relationship and appropriate disclosures. Exec supplies suggestions for review, while experimental features carry an express verification responsibility. The materials do not map competence duties or legal coverage across each jurisdiction served.
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.
Principles without a mechanism. The security page says the AI is built with legal professionals in mind, putting security, privacy and control first, and that AI is optional. The Gavel Exec information page says the product is trained by practicing deal lawyers. No owner, testing before release, evaluation or finding about uneven output is published.
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 can decide whether Workflows data is stored and can delete stored information immediately. AI provider processing is described as transient under zero retention agreements, while the terms provide a seven day reactivation period after cancellation before account deletion, subject to legal exceptions. The privacy policy adds backup, audit, and dispute exceptions. Security measures include separate customer storage, encryption, two factor authentication, single sign on, and annual external testing.
OpenAI is identified among AI providers, but no complete subprocessor register is published. The materials also do not give customers a specific incident notification timetable covering every class of content held by the service.
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 August 19, 2025 terms disclaim warranties that output will be accurate, current, complete, or suitable for the user's needs. They place reliance on platform information at the user's risk and separately warn that beta and preview features can produce incomplete or incorrect results. Aggregate liability is limited to the greater of $100 or the fees paid for the relevant product during the preceding twelve months. The customer owes an indemnity for specified claims, while no reciprocal AI output indemnity is offered. These provisions allocate ordinary service risk without a warranty that generated legal language will be correct.
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.
Exec places proposed revisions and comments in Word. Workflows connects document generation to Clio Manage, Docusign, Zapier, DecisionVault, and LegalServer. Clio contacts, matters, custom fields, and billing codes can populate intake, and completed files can return to a matter. Docusign supports variables for recipient details, ordered signers, signature status, and return of completed agreements. DecisionVault fields can be mapped into questionnaires, while LegalServer supports case data and return through a webhook.
These are described data movements and configuration choices. The public overview does not provide a complete setup procedure or permission synchronization specification for each connector.
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.
Each customer gets a separate subdomain, database, and file storage in the hosted service. The default storage location is in Amazon Web Services facilities in the United States, with other hosting regions offered in the European Union, Canada, Australia, and elsewhere in AWS. The terms nevertheless obtain consent to processing in the United States, and the public regional hosting offer does not map each AI provider's processing location.
A chosen storage region therefore does not fix where every model operation runs. Firms with residency requirements need the configured service and processing agreement to specify that boundary.
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.
Gavel now states that Gavel Exec has SOC 2 Type II attestation covering security, availability, and confidentiality. The scope is the Exec product; AWS infrastructure has its own separate certifications. The security materials also describe annual external testing, secure development practices, employee training, encryption, and authentication controls. A Type II examination concerns operation of controls over a period, but the public page does not expose the report date, examination period, auditor, or full report.
Procurement teams can request additional vendor documentation. The attestation statement should not be extended automatically to every Workflows feature or treated as an evaluation of legal output quality.
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.
One provider is named, without the full set, the models or change notice. The security page and Privacy Policy say Gavel holds zero data retention agreements with the AI models it uses, including OpenAI, so one provider and its retention position are stated. Other providers, the models and versions, and where they run are not. The Gavel Exec information page describes the architecture: hybrid semantic and full text retrieval, trained on precedent. No commitment to notify customers of changes is made.
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.
Pricing for Gavel Exec is $160 per user each month or $1,740 per user billed annually, with 1,000 monthly completions. A trial includes 25 requests per user, and teams of at least ten can request pricing. Workflows starts at $83 monthly for Lite, with Pro advertised at $290 and Scale from $417 monthly when billed annually. Its public pricing sections show conflicting Standard figures of $210 and $165, so that tier needs confirmation.
General onboarding and training are advertised as free, while custom automation work can require a separate quote. The products have different allowances and should not be treated as one combined subscription.
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.
Transactional attorneys, corporate legal teams, and in house counsel working on commercial agreements, corporate matters, and real estate are the users of Gavel Exec. Gavel Workflows addresses repeatable document production across estate planning, probate, family law, bankruptcy, employment, corporate work, and property matters. Its customers range from solo practices to larger firms and legal startups. Court forms and legal templates extend the automation product beyond negotiated contracts, while client portals support direct intake.
The company describes use across multiple countries, but does not define the legal reliability of every AI feature by jurisdiction or identify a complete set of unsupported practice areas.
7 public documents
The public pages on file for Gavel, 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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gavel.io/exec2 signals
Ethical Walls and Matter Segregation, Outside Counsel Guideline Readiness
Read Sep 18, 2026
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gavel.io/terms2 signals
Third Party Request and Subpoena Notice, Bar Guidance Alignment
Read Sep 18, 2026
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Fabricated Citation Record
Read Oct 16, 2026
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gavel.io1 signal
Billing and Fee Posture
Read Sep 18, 2026
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gavel.io/llm-info/exec1 signal
Primary Law Corpus Provenance
Read Sep 18, 2026
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gavel.io/privacy1 signal
Client Data in Training
Read Oct 16, 2026
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gavel.io/security1 signal
Prompt and Output Retention
Read Sep 18, 2026
$160 per user per month (Gavel Exec); Gavel Workflows from $83 a month
- Gavel Exec costs $160 per user monthly or $1,740 billed annually.
- Paid Exec plans include 1,000 monthly completions.
- Workflows starts at $83 monthly; Pro is advertised at $290.
- Scale starts at $417 monthly when billed annually.
- The Standard plan has conflicting public figures and needs confirmation.
Gavel Exec is $160 per user per month or $1,740 per user billed annually, including 1,000 monthly completions; the trial includes 25 requests per user. Teams of at least ten can request pricing. Workflows Lite starts at $83 monthly, Pro at $290, and Scale at $417 monthly billed annually. Public Standard sections show both $210 and $165, with differing allowances, so that plan requires confirmation.
Implementation: General onboarding and team training are advertised as free. Custom automation through Hire an Automator requires a quote; Scale includes additional onboarding and integration support.
Note: Workflows pricing sections contain inconsistent Standard amounts, seat counts, and template allowances. Obtain the current order before comparing that tier. Exec and Workflows are separate products with separate pricing.
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 agreement expressly reserves a right to train on customer content, with no opt out located. Any de identification, anonymization or aggregation qualifier is recorded in the summary.
The terms incorporate a privacy policy that permits analysis of anonymized workflow builder questions to improve questionnaire suggestions. It expressly excludes the answers and says generated questionnaires contain no personal information. That is a limited product improvement permission concerning builder content, not a statement that client answers train models. Gavel's security promise separately rejects training on customer data, and its providers are bound to zero retention. The contract does not expressly exclude model improvement from the builder question permission.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The customer sets the retention window and no retention is an available setting.
The customer controls storage and zero is available. The security page says that for AI features Gavel stores no documents, that its AI providers process data only for the request and then delete it under zero data retention agreements, and that customers decide whether Workflows data is stored and can delete it immediately. The Terms and Privacy Policy add that account data is deleted seven days after cancellation, save where law or backups require longer. Gavel Exec Projects keep instructions and referenced files together, which is storage the customer chooses.
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.
Separation between customers is documented; walls inside a customer are asserted without detail. The security page states that each customer has its own subdomain, isolated database and separate file storage. Within a firm, the Gavel Exec FAQ describes matter-based Projects with granular access controls and Workspaces that share Projects and Playbooks, but no permission model, roles or enforcement are documented.
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 of Service (19 August 2025, section J) reserve Gavel's right to cooperate fully with law enforcement or a court order requiring disclosure of information about anyone posting materials on the platform, with the user waiving claims arising from it, and the Privacy Policy permits disclosure where required by law, legal process or government request. Neither document commits to, or reserves discretion over, notifying the customer.
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.
Gavel Exec identifies customer precedents and matter files, EDGAR, government sources, and the open web as inputs to its retrieval and verification process. It does not publish a licensing basis or update schedule for the complete collection, and the dataset behind market clause benchmarking is not identified. Naming those sources helps explain the product's inputs, but says nothing about the rights, coverage, or continued currency of every item used in an answer.
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.
Agreements are what Exec primarily analyzes and revises, while Workflows assembles documents and court forms from templates. Neither product identifies a citator that tracks subsequent treatment of a judgment. The template library also does not describe a complete process for verifying the continuing currency of every statutory reference or form. Lawyers need to verify any authority used in the resulting work and ensure that their chosen templates remain appropriate for the filing jurisdiction.
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.
Gavel Exec explains proposed revisions and uses playbooks and reference material to support review. It does not describe a specific abstention response when those inputs cannot support an answer, or a confidence indicator that determines when work returns to a lawyer. Reviewable redlines help a user inspect the result, but they do not show that the system recognizes every unsupported legal proposition. The lawyer remains responsible for resolving uncertainty before relying on the suggested language.
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 Gavel, Gavel Exec, or the former name Documate appears in the AI Hallucination Cases database reviewed on October 16, 2026. This observation concerns reported false authority, not every form of product error or litigation involving the company. A contract revision can still misstate a provision or market position without fabricating a citation, so an absence of reported cases does not replace professional verification.
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 appears in general terms only. The Terms of Service make users solely responsible for complying with rules of professional conduct, including those on unauthorized practice, communications and confidentiality, and prohibit use that violates them. No ethics opinion or bar guidance is named.
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.
Gavel markets faster document preparation and contract review to firms that bill clients. Workflows also supports packaging legal services and collecting payments, but that commerce function does not explain how to bill time saved by AI or disclose an AI expense to a client. No method is published for attributing actual lawyer time to model assisted work. The product's efficiency claims therefore need a separate firm policy on fees, time records, and client communication.
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.
The material exists behind a sales conversation. OpenAI is the only AI provider named, as one of the providers Gavel uses, so the list is incomplete. No subprocessor list is published, the Gavel Exec page directs buyers needing security, privacy or vendor details to schedule a demo, and the Terms route customers handling third party data to a survey to decide whether a Data Processing Addendum is needed.
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.
Suggestions arrive as Word revisions and comments, with no described export identifying AI involvement, the producing model, retrieved sources, and human verification for each filing. Workflows can generate court forms from templates, which likewise does not show whether a model contributed to particular language. Gavel describes no court disclosure template or certification workflow. A lawyer who must disclose AI use would need to preserve the necessary record separately.