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Contractify

Contractify combines a contract repository, approval and signing flows, and follow up work across legal and business teams. Its Ada assistant extracts parties, dates, renewal terms and requested information from agreements and their attachments. Suggested values point back to the source for a person to verify and save. Approved contract data can then generate tasks assigned to the responsible team. Ada also answers agreement questions and produces summaries that colleagues can add to the shared contract record.

The service supports granular access by contract, folder or project, with administrator, manager, user and viewer roles. Drafting connections include JuriBlox and Clausebase, while Nitro Sign and DocuSign handle signatures. A public API and signed webhooks support custom connections. Centralize, Collaborate and Control plans distinguish seats, signing allowances and AI capabilities, with subscription prices set through a quote.

Belgian operator DB2 Value Creation developed Contractify after its founders' contract management consulting work. The company dates its founding to 2016 and joined Anchr in 2024. Its headquarters is in Sleidinge. Legal customers include Meat & More, whose team uses the system to delegate follow up and manage renewal deadlines across business departments.

Compared with

Contractify, 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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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.

BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

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.

Ada reads uploaded agreements and related material, including general terms, addenda and nondisclosure agreements, to suggest parties, dates and renewal details. Users can ask questions about clauses or request a summary, then add the response to the shared contract record. These model functions turn unstructured text into information that drives tasks and reminders. The surrounding repository, approval routes, signature connections and access controls also perform ordinary contract management work.

Centralize includes an AI timeline; Collaborate adds summaries and contract chat; Control adds portfolio retrieval and custom prompts. Contractify therefore combines model assisted analysis with a broader workflow and storage application.

Source: Vendor Published
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

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.

Suggested contract values point to the place Ada found them, allowing a reviewer to inspect the supporting text before saving the result. The assistant also draws on agreements and metadata in the customer's environment when answering questions about renewals, suppliers or individual clauses. These features ground extraction and contract questions in source material. They do not establish an independently measured error rate.

Version 15 of the service terms warns that automatically generated output can be incomplete or inaccurate and requires customer verification. A current reproducible evaluation of extraction accuracy, invented answers or performance across languages is not specified.

Source: Vendor Published
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

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.

People verify and save Ada's proposed contract data, and automatic follow up tasks use the approved values. A user can place chat responses on the summary page and assign follow up to the responsible parties. Contract approval and signature flows add separate business review steps, while administrators control who can edit or manage agreements. The service terms require verification and human intervention, and prohibit using Ada for automated decisions under Article 22 of the GDPR.

This gives reviewers identifiable control points. A confidence threshold that stops a review, an AI failure escalation route and a correction procedure after an incorrect automated task are not specified.

Source: Vendor Published
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

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.

Meat & More uses Contractify to centralize agreements and attachments, delegate tasks and receive notices for commercial leases and supplier contracts. Its legal case describes more than 200 agreements previously tracked in spreadsheets, over 50% less time spent on legal follow up and more than €40,000 avoided on sales agreements in one department. These are results for the contract management workflow, without a stated study date or measurement method.

Vivaldis also describes centralized access and timely notifications. Ada's separate efficiency illustration compares manual registration with assisted analysis, but does not identify a customer or a current model evaluation behind that comparison.

Source: Vendor Published
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

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 information remains the customer's property, and the service terms impose continuing confidentiality obligations on both parties and their staff or subcontractors. Contract access can be restricted by individual agreement, folder or project. Section 3.4 permits model training only with prior, separate written consent, while the AI clause and DPA state a prohibition on using uploaded data for training. AI providers must also exclude training or keep it disabled.

Prompt processing can involve temporary retention for abuse prevention. Return and deletion obligations apply at exit, but attorney client privilege, work product handling and enforcement of source system ethical walls are not specified.

Source: Vendor Published
BB on UPL and Professional Responsibility PostureA real position is published on advice versus tooling, short of full treatment: commonly a disclaimer without the supervision and competence dimension, or silence on jurisdiction limits.

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.

Ada's output is expressly described in the service terms as neither legal nor commercial advice, and customers remain responsible for verifying it. The same clause prohibits using the AI functions for automated decisions under Article 22 of the GDPR without human intervention. Product instructions give that responsibility a concrete step: a person verifies and saves proposed contract values before they drive follow up.

Legal teams can retain oversight while distributing routine tasks to other departments. Named professional conduct rules, jurisdiction specific supervision duties and limits on which legal questions the assistant may answer are not set out.

Source: Vendor Published
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

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.

Contractify's July 2026 AI implementation guide describes ground rules for human review, permitted data and product limits, illustrated through Ada. It explains that a person validates extracted information and that answers draw on the customer's agreements and metadata. The account of Ada's initial pilot names time saved, extraction accuracy and correction volume as criteria. That historical pilot is separate from a continuing evaluation program for the current model stack.

An accountable AI governance owner, release approval framework and results on uneven output across languages or contract types are not specified. The security program concerns infrastructure and data protection.

Source: Vendor Published
AA on AI Safety and Data StewardshipRetention, deletion, access control, subprocessors and incident practice are all published, current, and specific enough to hold the vendor to.

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.

AI subprocessors may keep prompt data for abuse prevention for at most 30 days, subject to longer legally required retention. The DPA requires return or secure deletion within 30 days after processing ceases or the agreement ends, with written certification. Routine database backups have several intervals, extending to an annual copy kept for one year. Access controls distinguish user roles and restrict contracts, folders and projects.

Named subprocessors have stated functions and locations, and new providers require notice. A suspected or known personal data breach must be reported immediately and within 48 hours, with investigation, mitigation and coordinated communications.

Source: Vendor Published
BB on AI Liability and RecourseA real published position on liability, short of the full picture: commonly a stated indemnity without scope or caps.

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 promise material conformity with the agreement and give DB2 options to contest an intellectual property claim, modify the software or refund the unused fee after taking it back. General liability is capped at the greater of the previous 12 months' fees and €25,000, with exceptions for death, injury, fraud, intent and gross negligence. A confidentiality breach carries €5,000 compensation. The DPA separately provides mutual indemnities for its breach, limited by insurance payment or previous annual fees.

AI output still requires customer verification; a specific remedy for an incorrect AI answer and the insurer's policy scope are not stated.

Source: Vendor Published
BB on Practice Systems Integration DepthReal integrations exist and are documented, short of depth: named connections without a description of what they actually move.

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.

JuriBlox and Clausebase provide drafting connections, while Nitro Sign and DocuSign support signature flows. The JuriBlox arrangement moves from template based contract preparation into Contractify approval, signing and follow up. The public API supports personal access tokens or OAuth authorization, and webhooks send resource identifiers that an integration uses to retrieve full records. Webhook signatures, retry timing and manual redelivery are specified.

These are usable components for connecting business systems. Detailed field mapping, permission behavior and failure handling for the named drafting and signature connectors are less explicit than the general API mechanics.

Source: Vendor Published
BB on Deployment Model and Data ResidencyDeployment model is stated clearly with partial residency detail, or residency is offered without the processing location being addressed, or the tenancy model is stated on its own with no residency detail published.

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 hosted application keeps primary data in DigitalOcean's Frankfurt facility and backups in Amsterdam and Dublin. The current provider register distinguishes storage from AI processing: OpenAI is in the United States, Mistral handles text recognition and structure in France, and Microsoft Azure processes AI work in Switzerland. Other providers support signatures, customer service, analytics and communications. The DPA sets conditions for international transfers and incorporates named recipients.

The main storage locations are therefore more specific than a general European hosting claim, but customer region selection, deployment alternatives and residency differences between subscription packages are not specified.

Source: Vendor Published
DD on Security Certifications and Trust CenterNo independent security attestation located.

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.

Security controls include encryption in transit and at rest, database access restrictions, temporary file links, two factor authentication, activity logging and annual penetration testing. The security sheet names ISO 27001 and other certifications held by DigitalOcean, and points to Amazon's certificates. Those attestations concern hosting providers rather than a defined Contractify service scope. Contractify's terms offer current security material and any available independent reports on request once per contract year, while penetration test results are also available on request. A specific independent certification, audit period or assurance report covering Contractify itself is not identified.

Source: Vendor Published
BB on Model Supply Chain DisclosureThe supply chain is partly disclosed: providers named without change notification, or architecture described without the providers.

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.

The current subprocessor register identifies OpenAI and Microsoft Azure as generative AI service providers. It also names Mistral for optical character recognition and document structure analysis, and Meilisearch for vector retrieval. Processing locations distinguish OpenAI in the United States, Mistral in France and Azure in Switzerland. The terms require provider training to be excluded or disabled and limit temporary abuse monitoring retention.

Customers receive notice of new subprocessors under the DPA. Exact model families and versions, the routing of a particular task among providers and a commitment to notify customers of model substitutions are not specified.

Source: Vendor Published
BB on Commercial TransparencyReal pricing is published for part of the range, with enterprise tiers withheld, or the unit and structure are stated without the figure.

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.

Subscriptions charge for a package and seats, with annual advance billing. Centralize has a fixed maximum of five seats shared between users and viewers. Collaborate starts at five users and Control at ten, with user and viewer seats billed separately. Signing allowances are 200 and 500 respectively in those higher plans, while stored contracts are unlimited. Adding seats requires an administrator to confirm a billing warning; deleting or blocking a user does not itself reduce the contracted quantity.

Downgrades need 30 days notice before renewal. Subscription amounts, extra seat rates and implementation charges still require the customer's quote.

Source: Vendor Published
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

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.

Legal, finance, procurement, management and IT teams use the service for their organization's agreements. Its legal workflow gives counsel oversight across entities while other departments own tasks and signing responsibilities. Named examples include commercial leases, supplier agreements, sales contracts and employment information. Ada handles contract data, summaries and questions, with language coverage described broadly rather than through a tested language list.

Draft creation also relies on connections such as JuriBlox and Clausebase. Specific law firm segments, jurisdiction boundaries and unsupported agreement types are not defined, and the standard license is for internal business use.

Source: Vendor Published
Sources on file

7 public documents

The public pages on file for Contractify, 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.

Pricing

Custom annual subscription

EUR, as published, never converted
  • Subscription prices are quoted in euros before tax.
  • The fee depends on the package and paid seats.
  • Stored contracts are unlimited, while signing has separate allowances.
  • Implementation services and optional escrow can add charges.

The license combines a package and paid seats, billed annually in advance. Centralize is capped at five seats; Collaborate and Control start at five and ten users with separately paid viewer seats. Higher plans include 200 and 500 signing units, and additional signing capacity is purchased separately.

Implementation: Contract registration, training and other services can incur additional charges on a cost plus or subscription basis. Rates need the applicable quote. Optional source code escrow has a registration fee of 5% of the license fee.

Confidentiality and data terms: A Data Processing Agreement forms part of the subscription contract and takes precedence for personal data obligations. Custom privilege sets are a Control feature.

Note: The initial term is normally one year and renews for the same period unless canceled three months in advance. Seat reductions require written notice at least 30 days before renewal; blocking or deleting a user does not reduce billed seats. Indexation and other permitted renewal price changes follow the terms.

Legal Signals

What each signal means

A 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.

Confidentiality and Privilege

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Opt in

Training occurs only where the customer has affirmatively enabled it.

Section 3.4 of the service terms permits training on uploaded content only after prior, separate written consent. The agreement's AI clause and the DPA also state that uploaded data will not train models, and provider training must be contractually excluded or kept disabled. Contractify uses customer material in prompts for that customer's own environment. A separate consent is also required before particular files are used to investigate a technical issue.

Source: Vendor Publishedprior, separate written consentAs of Oct 15, 2026Evidence

Prompt and Output Retention

How long does the product keep what a lawyer typed, and can that be set to zero?

Disclosed without a period

Retention is acknowledged in public materials with no stated period.

AI providers may retain prompt data for abuse prevention for up to 30 days, with an exception for longer legal obligations. The application keeps contract information during service, and routine database backups include an annual copy retained for one year. Personal data must be returned or securely deleted within 30 days after processing stops or the agreement ends. A separate application chat history period or customer setting for prompt retention is not specified.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Ethical Walls and Matter Segregation

Does retrieval respect the firm’s ethical walls, or can the model read across them?

Own model, documented

The product maintains its own permission model, documented, requiring the firm to keep it aligned.

Access can be granted or restricted at the contract, folder or project level, with administrator, manager, user and viewer roles. Control adds custom privilege sets, and administrators can block users or reassign responsibilities. The terms limit generated content to the same customer's environment. These are Contractify's own permissions; inheritance of a connected document system's matter walls and enforcement of those external permissions during AI retrieval are not specified.

Source: Vendor PublishedGrant or restrict access at the document, folder, or project levelAs of Oct 15, 2026Evidence

Third Party Request and Subpoena Notice

If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?

Notice committed

Terms commit to notice where lawfully permitted. No transparency report located.

The DPA requires Contractify to inform the customer before processing personal data to meet a legal requirement, where the law permits. Its breach provisions also coordinate legally required notifications and allow the customer to comment before disclosure when possible. The privacy statement permits disclosure to authorities or in legal proceedings. A broader process for nonpersonal confidential material, a challenge policy and a transparency report are not specified.

Source: Vendor PublishedAs of Oct 15, 2026Evidence
Accuracy and Authority

Primary Law Corpus Provenance

Where does the law in this product come from, and does the vendor have the right to use it?

Sources named, basis unstated

Sources are identified without stating the license or rights basis.

Ada draws on the customer's uploaded contracts, attachments, general terms, addenda and stored metadata. Extracted values point to their source, and questions can retrieve clauses or renewal information from those agreements. Customer ownership remains intact under the service terms, with a limited right for Contractify to perform the service. An external legal authority collection, its licensing basis and the underlying model training corpus are not identified.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Good Law Verification

Does the product tell you when the authority it just cited has been overruled?

Not addressed

No located public material addresses whether authority is checked for subsequent history.

The assistant extracts contract parties and dates, identifies clauses and produces summaries from agreements in the customer's workspace. Source references help a person check an extracted value against that agreement. These functions do not include checking subsequent treatment of court decisions or whether a statute has been superseded. A citator connection, authority status warning or jurisdiction specific good law check is not part of the stated workflow.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Refusal and Uncertainty Behavior

What does the product do when the answer is not in the corpus?

Not addressed

No located public material addresses what the product does when it cannot ground an answer.

Ada can answer whether a requested clause appears in an agreement and show where extracted information came from. A person verifies the proposed values before saving them, and the terms warn that generated output may be incomplete or inaccurate. An explicit abstention response for unsupported questions, a confidence threshold or a defined route for unresolved uncertainty is not described; reporting that a clause is absent is a narrower function.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Fabricated Citation Record

Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?

None located

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 contains no tool entry naming Contractify, DB2 Value Creation or Ada as of October 15, 2026. The assistant sits within a contract management platform used by legal and business teams for approval, signing and renewal work. Its stated AI functions cover extraction, summaries and agreement questions, with reviewers responsible for checking proposed values before they enter the shared contract record.

Source: Operator VerifiedAs of Oct 15, 2026Evidence
Professional Responsibility

Bar Guidance Alignment

Has the vendor engaged in public with the ethics opinions its buyers are bound by?

Not addressed

No located public material engages with bar or ethics guidance.

The AI terms require customers to verify output, disclaim legal advice and rule out automated decisions under Article 22 of the GDPR without human intervention. Contractify's AI implementation guide also discusses human validation and European AI Act considerations for deployments. These are general operating and regulatory responsibilities. A named bar opinion, legal professional conduct rule or jurisdiction specific guidance on lawyers' use of the assistant is not identified.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Billing and Fee Posture

Does the vendor address what happens to the bill when the work takes an hour instead of six?

Outside the fee relationship

The product does not touch a fee between a lawyer and a client. It operates before an engagement exists, or it is bought by a team that bills no client for the work. Savings claims aimed at the buyer’s own cost are recorded in the summary and do not make the row a savings claim, because no client bill is in the loop.

The standard license covers the customer's internal business purposes, and the legal team examples concern managing the organization's own agreements. Meat & More reports over 50% less time on legal contract follow up, while Ada's efficiency examples compare the buyer's administrative cost with assisted work. Those savings concern an internal department's workload. A law firm's fee to an external client is not part of the described transaction or deployment.

Source: Vendor PublishedAs of Oct 15, 2026Evidence

Outside Counsel Guideline Readiness

Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?

Subprocessors listed

A current subprocessor or model provider list is published.

The legal hub identifies service providers, hosting locations and processing functions, including OpenAI, Azure, Mistral, DigitalOcean and signature providers. The DPA requires notice when a new subprocessor is engaged and binds those providers to equivalent protections. Security material and available reports can be requested annually, and customer audits are allowed under the DPA. A ready made client disclosure memorandum or outside counsel guideline response package is not specified.

Source: Vendor PublishedOur legal policies & sub-processorsAs of Oct 15, 2026Evidence

Court Disclosure Support

If a judge’s standing order requires an AI disclosure, can the product produce one?

Partial record

Some elements of the record are available, short of a document level export.

Proposed contract values link to their source and are verified before saving, while version control and an audit trail preserve parts of the contract workflow. Security logging also covers sensitive user actions and API activity, and customers can request an export of their data. The service does not specify a per agreement package identifying the model used, retrieved sources and the person who verified each generated passage for a court filing.

Source: Vendor PublishedLog any changes with version controlAs of Oct 15, 2026Evidence
Contact

Correct a record, or ask how something was graded

Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 462 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 16, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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