Definely vs Oneflow: how they compare in 2026
Definely is the closer fit when the lawyer's primary task is reviewing a complex agreement in Microsoft Word, tracing definitions and reusing precedent language. Oneflow is the closer fit when legal and commercial teams need to move a shared contract through creation, negotiation, signature and renewal. Definely's Vault retrieves clauses from connected repositories, while Enhance and Cascade analyze language and the effect of changes. Oneflow instead joins contract review to CRM populated web agreements and portfolio reporting. For a team choosing between drafting depth and contract administration, AI Legal Index identifies the working environment as the deciding difference. Oneflow publishes a Business entry price and a training prohibition; Definely's rate and exact underlying model identities remain unspecified. Oneflow's broad generative AI confidentiality exclusion prevents that training promise from settling the entire procurement question.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. 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.
Definely combines deterministic contract tools with generative analysis inside Microsoft Word. Read provides navigation through definitions and references, while Proof checks formatting and drafting errors. Vault retrieves precedent clauses from a connected repository. Enhance interprets contract language and proposes revisions, and Cascade follows the consequences of a change through related provisions. The company began with Word tools before adding modern generative AI, so navigation and proofreading retain a distinct function without models. The Claude connector extends those tools into another interface and describes its structural checks as reproducible. AI supplies content analysis and contextual drafting alongside the existing contract editor.
AI supports several substantial contract tasks within Oneflow's wider platform. Write with AI drafts, edits and translates text inside an agreement; AI Extract imports participants, dates and duration into editable metadata. AI Review compares terms with a workspace playbook, and AI Insights aggregates the resulting risks across the portfolio. The premium package adds custom rules, dashboard widgets and a report for negotiation follow up. Electronic signatures, editable HTML agreements, permissions, approvals and renewal reminders continue to work without these models. Customers can disable AI, and several review capabilities remain in beta. AI therefore changes how users analyze contracts without replacing the underlying contract system.
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.
Enhance links its answers to specific clauses and definitions in the contract material under review. Definely describes clause level indexing, retrieval augmented generation and several agents working together, with analysis focused on the active agreement and related files. Read separately exposes internal references and definitions so the lawyer can inspect their source. The Claude connector describes its structural checks as deterministic and returns their results through Claude. These mechanisms connect findings with contract text, but no measured legal accuracy result, test set or hallucination rate establishes how reliably the generative layer interprets that text. A review speed claim does not measure answer correctness.
Review findings connect to highlighted passages in the agreement, with controls for moving between them. Each finding carries the relevant playbook concept, configured feedback and example clause text. A separate view identifies required clauses that the review did not find, while portfolio charts open the corresponding contract list. This lets the reviewer compare a proposed concern with the actual wording and the organization's rule. Oneflow warns that generated text can misstate facts, numbers and law and recommends human correction. No reproducible accuracy study, error rate or jurisdiction specific evaluation accompanies these features. The contract highlighting supports source verification, not validation of legal authority.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
The lawyer works with findings inside Word and decides how to revise the agreement. Cascade exposes its reasoning about affected clauses, while Enhance offers contextual answers and suggested text that can be inserted into the contract. Definely describes AI as supporting defined tasks while leaving legal judgment with the reviewer. Its ISO 42001 framework also includes human oversight. These features provide an inspectable review surface and an expressed division of responsibility. The circumstances that stop an agent, the exact scope of unattended decisions and the handling of an erroneous recommendation remain unspecified. A target for automating manual work does not itself define those operational limits.
Administrators enable AI Review for a workspace and configure its playbook, including which clauses matter, which findings count as risks or issues, and what feedback appears. Role permissions separately control access to individual reviews and the Insights dashboard. Sent contracts receive continuing analysis; draft contracts require a manual review action. A person can inspect highlighted text, edit the playbook and use example wording when revising an agreement. The AI appendix advises human review before relying on output. No confidence cutoff, mandatory lawyer approval after an AI finding, or correction route for an already approved mistake is specified. Risk colors classify findings rather than stop execution.
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.
Definely identifies law firm and corporate users including Slaughter and May, Dentons, Shoosmiths, Shepherd and Wedderburn, Deloitte and Barclays. Its company material describes more than 150 enterprise customers and 40,000 active users in over 30 countries. The current home page includes a deployment account from Shepherd and Wedderburn's technology lead describing installation through Intune, alongside comments from legal and innovation leaders. The product also claims faster review, without connecting that figure to a dated customer study and a reproducible measurement method. Named adoption establishes use of the suite, while the contribution and error rate of each generative feature remain unmeasured.
Puzzel's Sales Operations Manager, Anette Johnsen, describes generating offers and contracts from Salesforce opportunities with items from related CPQ quotes. She identifies a concrete benefit of the HTML format: participants revise one agreement instead of uploading successive files before signature. Other named users include Systembolaget's Head of Indirect Sourcing, Tor Myhrman, and Hedin Bil's HR Business Partner, Elin Skoglund, who describe handling agreements and maintaining oversight. These accounts establish operational use across sales, procurement and HR. They do not isolate AI review performance or supply a measured error reduction, evaluation period and sample for Oneflow's current AI packages.
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.
Definely's terms require both parties to protect confidential information with at least reasonable care and to return or destroy it on termination or written request. The privacy policy identifies Azure as a processor of user content, while the trust center offers a data processing agreement and access control material through an access request. These provisions establish a confidentiality framework, but do not explicitly prohibit training models on client content. The privacy policy permits service improvement, and feedback receives a separate broad usage license. Matter separation, attorney client privilege and work product handling remain unspecified. Detailed AI security information requires access approval.
The AI appendix expressly prohibits Oneflow from training any AI model on customer data and takes precedence over conflicting general terms for AI features. Ordinary service confidentiality continues while information remains confidential, with restrictions on compelled disclosure. There is a consequential exception: the generative AI section excludes Oneflow's contractual confidentiality obligations along with liability, indemnities and service levels. Review, Insights and Extract have a separate processing section tied to the DPA. Workspace permissions and optional provider controls support access management, but attorney client privilege and work product receive no specific undertaking. The contract therefore requires attention to the exact AI functionality being enabled.
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.
Definely addresses lawyers at large law firms and corporate legal departments handling complex transactions. Its product position retains legal judgment with the professional while using AI for defined contract tasks. Read, Proof, Enhance and Cascade provide review tools inside Word rather than a consumer advice service. The terms nevertheless do not set out a distinct no legal advice boundary or connect product controls to competence and supervision duties under named professional rules. Jurisdiction limits for use are also unspecified. The firm's markets across multiple countries and its focus on transactional work identify the audience, without establishing a professional responsibility framework for each location.
Oneflow's AI appendix says output is not legal advice, legal conclusions, recommendations about legal rights or an application of law to a customer's circumstances. It advises human review because generated content can misstate law as well as facts. A separate UK article maps solicitor responsibilities to SRA standards, confidentiality, client communication and supervision, and describes practical review and pilot controls. North American terms also prohibit treating the platform as a substitute for an attorney. The product nevertheless serves sales, HR and other users without legal qualifications. No comprehensive jurisdiction by jurisdiction set of product restrictions or lawyer competence program is supplied.
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.
Definely holds ISO/IEC 42001:2023 certification, with Prescient Security identified as the auditor. The framework covers Enhance, Cascade and internal AI use, with a register recording each system, impact assessments, ownership and ongoing monitoring. Its stated scope includes fairness, transparency, human oversight and risk assessment across development and operation. Management reviews and internal audits support continuing governance. The description assigns ownership within the register but does not name the accountable person or role for model behavior. It also gives no measured results for differences across matter types or populations. Certification therefore establishes the management framework without exposing those evaluation outcomes.
Oneflow promotes human accountability and warns against automation bias in its guidance for UK legal teams. It recommends evaluating missed issues, overrides and review quality rather than relying only on speed, and says its AI performs best in English and Swedish. These are useful limits and principles for customers designing a pilot. The public material does not identify an accountable AI governance owner, publish a model release evaluation, or report bias and performance differences across languages, contract types or populations. General ISO security controls and a list of security policies concern operational protection; they do not describe a separate AI testing and governance program.
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.
Definely's trust center covers access monitoring, backups, erasure, audit logging, incident reporting and vulnerability management. The terms require confidential information to be returned or destroyed on termination or written request. Its privacy appendix identifies Azure for user content and separate providers for analytics, licensing, payments and customer management, with advance notice before user content processors change. The general privacy retention rule follows service necessity and legal obligations, while organizational contact details can remain after a subscription ends. A specific prompt and output schedule and the retention practices of any underlying model provider remain unclear. The AI security whitepaper requires access approval.
Contract data is encrypted with AES 256 at rest and TLS 1.2 in transit. Customers configure permissions and retention policies; administrators can disable optional providers or AI features. Global DPA terms require breach notification without undue delay, while the North American DPA specifies 48 hours. Daily database snapshots last seven days, and system and authentication logs last 90 days. The DPA permits limited residual backups after deletion without fixing that period. Generative AI history can follow provider terms, while the product page promises removal of temporary review and import data. That leaves no single, specific retention schedule for every prompt and output.
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.
Definely's terms cap each party's aggregate liability at fees paid or payable during the preceding 12 months. They exclude consequential, indirect and several other categories of loss. The warranty disclaimer expressly covers the accuracy, completeness and reliability of content generated with the software, alongside the software and support themselves. These are contractual limits on recourse rather than a performance warranty for an AI recommendation. No customer indemnity for third party claims arising from generated output or insurance commitment is identified. Confidentiality breaches can support equitable remedies under a separate clause, while the general liability framework remains subject to the agreement's stated cap and exclusions.
Ordinary global service terms include an intellectual property defense obligation, a material performance warranty and a general cap based on 12 months of fees. Those protections do not carry through unchanged to AI. The appendix supplies AI output as is, disclaims warranties and excludes all liability and indemnification undertakings for generative AI functionality, together with confidentiality obligations and agreed service levels. It also permits specified AI suspensions or termination without reimbursing fees. North American terms contain the same generative AI exclusion. A wrong clause, inaccurate summary or reliance on generated advice has no specific affirmative AI remedy in these published terms.
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.
The suite operates within Word, with Read opening definitions and references, Enhance inserting suggested language and Vault bringing precedent clauses into the active agreement. Vault connects to document management repositories, including iManage and NetDocuments; the current product page also shows SharePoint. It can insert associated definitions and update references when adding a clause. A separate MCP connector exposes Definely tools in Claude, with sign in through a Definely account and enterprise enablement by IT. Installation and architecture material is available through the trust center. Detailed permission inheritance and the administrative configuration of each repository connection remain unspecified in the openly accessible product material.
The Salesforce integration creates interactive contracts from opportunities and transfers contact, company and opportunity data into them. Its configurable sync sends data from Salesforce objects into Oneflow and returns contract values to Salesforce. Product tables can reflect price books or CPQ quotes, while workflows map contract stages back to pipeline stages. Engagement events and status changes appear in the Salesforce timeline, and returned contract data supports dashboards. Oneflow identifies separate setup guidance for older and newer integration versions and compatibility with Professional edition upward. HubSpot, Dynamics 365 and other CRM connections complement this workflow; Salesforce and Dynamics can require premium integration charges.
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.
Definely combines a Word add in with hosted services. Local architecture diagrams for Read, Proof and Vault are available through the trust center, which also identifies AWS infrastructure. The privacy policy names Azure as a processor hosting user content and lists possible personal data processing countries including Belarus, Lithuania, Sweden, the United Kingdom and the United States. Those general locations are not selectable contract data residency commitments. The product material does not identify which model runs in which region, distinguish storage from inference for every feature, or specify a tenant architecture. The available information therefore leaves the precise AI processing boundary unresolved.
Production infrastructure uses AWS availability zones in Ireland, with document replication and backups in Sweden. Oneflow's AI FAQ broadly describes data as remaining in the EU, and Insights Premium is described as running within Oneflow's own EU infrastructure. The published subprocessor table gives a more varied picture: optional Legly review operates in Germany, optional OpenAI extraction in the United States, and Postmark email processing also in the United States. Administrators can disable optional services. The public descriptions do not fully reconcile these routes or map every AI function to a processing region. No on premises deployment is offered in the published package descriptions.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
The certification disclosure is named, dated and attributed. ISO/IEC 27001:2022 was recertified in February 2026 by the British Assessment Bureau, now Amtivo, a UKAS accredited body, with the audit dated 4 February 2026 and zero major and zero minor nonconformities. SOC 2 Type 2 was recertified on 28 October 2025 under AICPA SSAE 18 standards, with Prescient Security named as auditor. ISO/IEC 42001:2023 is certified by Prescient Security, alongside Cyber Essentials and a GDPR program. A 2026 independent penetration test is summarized: it covered web applications, APIs, client side integrations and external network infrastructure, was benchmarked against the OWASP Top Ten, and found low overall risk with no critical, high or medium severity findings. The summary compares this with the prior year's results, which did include medium severity findings. A SafeBase trust center holds the SOC 2 report, penetration test report, architecture diagrams, privacy and security whitepaper and policy set behind a self serve access request rather than a sales gate.
A public certificate issued by Qvalify covers Oneflow AB's digital solution for contract automation under ISO 9001:2015, ISO 14001:2015 and ISO 27001:2022. It was issued on June 28, 2024 and remains valid through June 30, 2027, identifying the Stockholm organization and its registration number. A June 2026 statement of applicability lists the security controls and their implementation status. The security center separately identifies SOC 1 Type 1 and SOC 2 Type 1 reports issued by Grant Thornton, available under NDA. Those reports concern control design; neither is identified as a Type II examination of operating effectiveness over a stated period.
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.
Definely describes several agents, retrieval augmented generation and clause level indexing as parts of its AI architecture. AWS appears in the trust center, and the privacy appendix identifies Azure as a host for user content. Those infrastructure names do not identify the foundation models used by Enhance or Cascade. The Claude connector is a separate integration through which Claude calls Definely's tools, rather than proof that Anthropic supplies every model inside the suite. No production model version is specified. Customer notice applies to changes in user content processors, but an equivalent promise covering every model change is not identified.
The subprocessor list identifies Legly AB for contract review in Germany and OpenAI for extraction in the United States, alongside AWS infrastructure in Ireland and Sweden. Both AI suppliers are optional and controlled through account settings. The AI appendix directs customers to their Data Management page for the current generative model suppliers and their terms. It does not publish model versions or a complete function to model map. DPA provisions require reasonable advance notice of subprocessor changes to the customer's designated email address and allow a 14 day objection. That process concerns suppliers, without promising notice of every underlying model change.
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.
Definely sells software through individual orders and a demo led sales process. Its terms require annual payment in advance, define an initial 12 month term and provide for successive annual renewals. Orders can include software licenses, additional users and upgraded packages, with currency and fees set in the customer's account. The agreement permits limited trials or beta access at Definely's discretion without establishing a universally available free plan. No numeric rate or fixed charging unit is stated for the suite, and implementation costs are unspecified. The contractual payment structure is identifiable, while a buyer cannot calculate a subscription total from a standard rate card.
Business starts at $292 a month, billed annually, including five users; Enterprise has ten users and a custom quote. Business includes writing, extraction and summary features. Standard AI Review and Insights have conflicting public treatment: the pricing page marks paid beta additions, while September help guidance says they are included in Enterprise during beta. Insights Premium is explicitly a paid addition for Business and Enterprise. SMS, identity verification, premium integrations and enhanced support can cost more. A 14 day trial needs no card. Implementation has no published amount, and global annual renewals can increase by the greater of 5 percent or Swedish CPI.
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.
Definely targets large law firms, including Magic Circle and Am Law firms, and corporate legal departments at major enterprises. Its named settings include acquisitions, banking, insurance and complex commercial agreements. The suite focuses on an active contract and its related files, with tasks such as clause reuse, linked definition review, issues list extraction and analysis of changes across an agreement set. It is positioned for complex transactional work rather than high volume processing of routine contracts or lifecycle administration. That boundary distinguishes the product from a general legal assistant or a CLM platform, while its main working environment remains the lawyer's contract in Word.
Legal, procurement, sales, finance and HR teams can create and manage agreements in Oneflow. Legal users configure review rules and approve terms; business teams use reusable templates and CRM data for offers, sales agreements and employment documents. Named customers span telecoms, retail, recruitment and public sector purchasing. UK guidance also addresses solicitors using AI for commercial contract review, bringing professional duties into the intended audience. AI is optimized for English and Swedish, with variable results in other languages. The product does not supply a jurisdiction specific research corpus, and its coverage statements do not define supported litigation work or every category of legal agreement.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The software terms and general privacy policy do not state whether customer content may train models. Definely permits use of feedback without a confidentiality restriction, and its privacy policy allows service improvement and development of new products, without naming model training. An AI security whitepaper is available through a trust center access request, but its contents were not available for review and cannot establish a separate commitment.
The AI appendix forbids Oneflow from using customer data to train any AI models and overrides conflicting general terms for AI issues. Inputs and attributable outputs fall within the customer data definition. The general service license permits improvement and anonymized analysis, and AI feedback may improve accuracy, but those clauses do not remove the express training ban. The product FAQ also says underlying models do not train on customer data.
Separate provider processing, retained history and the generative AI confidentiality exclusion remain relevant to handling client material.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Clause 9.4 of Definely's terms requires return or destruction of confidential information when the agreement ends or the other party makes a written request. The privacy policy separately retains personal information for service needs and legal obligations, including some organizational contacts after subscription termination. The contract supplies a customer instruction route, but no product setting defines a prompt and output window or an immediate zero retention configuration.
Oneflow permits customers to set retention policies for stored contracts, and its AI page says temporary import, review and Insights data is removed after use. Generative AI has a different contractual provision: input questions and output responses may remain as history under the model supplier's current terms. No uniform period covers that history or every provider copy. Daily database snapshots last seven days, system logs last 90 days, and residual backups after termination have no precise DPA deadline. Contract deletion therefore cannot be treated as an immediate purge of all AI processing records.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Vault retrieves clauses and definitions from connected document management systems, including iManage and NetDocuments, and can insert them into a contract. Definely's trust center includes access control policies and monitoring material behind an access request. The accessible product information does not explain whether retrieval applies each user's source permissions at request time or how matter walls are enforced, so the existence of a repository connector does not resolve that boundary.
Workspace roles control access to contracts, and Oneflow provides distinct permissions for AI Review and the Insights dashboard. Administrators enable review for selected workspaces and can disable AI features or optional suppliers. These controls can support departmental separation and limit who sees review results. The descriptions do not specify how retrieval enforces every contract permission within a workspace, how restrictions propagate to generated summaries, or how a law firm's matter wall follows an AI request. Permission controls alone do not establish a complete ethical wall mechanism for confidential client matters.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Clause 9.1 of Definely's software terms permits disclosure of confidential information only to the extent required by a subpoena, court order or governmental authority, after prompt notice to the other party of the intended disclosure. That contractual notice is distinct from the privacy policy's general permission to disclose personal data for legal reasons. No transparency report or volume of government requests accompanies the commitment.
Global confidentiality terms require reasonable prior notice when disclosure is legally compelled, unless notice is prohibited, and reasonable assistance at the customer's expense in seeking protection. That gives the customer an opportunity to contest or narrow a request involving ordinary confidential service data. The AI appendix expressly removes contractual confidentiality obligations for generative AI functionality, so the same protection should not be assumed across every AI route.
No transparency report accompanies the commitment. North American and global agreements need to be matched to the contracting entity and enabled services.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Vault draws precedent clauses and definitions from the customer's connected repository and clause library. Enhance uses the contract and related material to provide contextual responses, while Read links internal definitions and references. This identifies the customer supplied source collection, but does not establish a vendor supplied primary law database, a separate rights basis for foundation model training material or an update cadence for legal authorities.
Oneflow's review and portfolio analysis work with the customer's agreements and configured playbook concepts. Example clauses come from the organization's rule setup, and drafting can use selected text as input. No catalog of legislation, reported decisions or licensed legal commentary is supplied for these features. Naming a model provider does not identify the legal sources in its training data or their licensing terms.
The UK educational articles link professional guidance, but those links do not constitute a legal research corpus inside the product.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Definely checks internal references and defined terms in transactional agreements. It can map broken or circular references and expose the relevant contract text, but these functions do not determine the subsequent history of a court decision. No licensed citator or independent treatment signal is identified for external legal authority. The suite's principal context is drafting and reviewing an agreement, with the source material coming from the contract and connected precedents.
Highlighted review passages let a user inspect contract language, not whether a judicial decision remains authoritative. Oneflow has no published citator connection, treatment history service or automated check of legislation's current status. Teams maintain their own playbooks, including preferred and fallback clauses, so changing a rule after a legal development remains an organizational responsibility. The appendix warns that AI can generate incorrect law and recommends human review. A portfolio risk chart or missing clause flag does not establish that the underlying legal proposition remains valid.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The Claude connector describes its structural tools as deterministic, with the same analysis producing identical results for the same input. That claim concerns reproducibility of the tools rather than a refusal rule for every generative response. Enhance and Cascade provide contract analysis and reasoning for review, but no defined abstention message or confidence indicator explains what occurs when the supplied material cannot support an answer.
The AI Review interface separates findings from a missing clauses view. That view identifies playbook concepts absent from the agreement, giving the reviewer an explicit negative result instead of merely omitting a match. Red and yellow labels distinguish issues from risks; they are not numerical confidence estimates. Oneflow warns that generated facts and law can be wrong, but does not publish a general abstention rule for drafting or summaries. Missing clause handling is described for review, without promising that every unsupported question will be refused.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No identified court order, opinion or disciplinary decision attributes fabricated citations to Definely or Defeyene Legal Solutions Limited. Damien Charlotin's AI Hallucination Cases database contains no match for either name in the tool field or wider case text as of October 15, 2026. The absence does not establish legal accuracy, and the product's principal use is transactional contract review rather than preparation of authorities for court filings.
Damien Charlotin's AI Hallucination Cases database contained no entry naming Oneflow as of October 16, 2026. The result covers the database's reported court incidents, not every private use of the product or every inaccurate contract response. Oneflow itself discusses court examples involving generic AI tools in educational material; those examples do not identify Oneflow as the tool involved. Contract drafting and risk analysis can still produce incorrect law, which the AI appendix expressly warns about. The absence of a named incident provides no accuracy guarantee.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Definely provides material about contract review risks and operates an AI management framework that includes human oversight. Those controls address product governance and the reviewer's role, but do not map the suite to a named bar opinion or professional regulator's guidance. ABA Formal Opinion 512, state bar requirements and Solicitors Regulation Authority or Law Society guidance are not identified as the governing framework for the product's use.
Oneflow's UK contract review guidance maps SRA standards and conduct duties to human supervision, confidentiality, client transparency and practical controls. It also discusses insurance, data protection and the legal team's responsibility for final judgment. This is a jurisdiction specific mapping with suggested review steps, rather than a generic statement that lawyers remain responsible. It is vendor guidance, not regulator approval or an independent finding of compliance. The mapping does not establish equivalent coverage for every jurisdiction in which Oneflow sells its platform.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Definely associates its tools with faster contract review and less manual drafting work. Law firms are a principal customer group, so reduced work can affect matters performed for clients rather than only an internal department's costs. The suite's contract reports and issues lists do not form a matter billing record, and no guidance specifies how a firm should adjust fees or disclose AI assisted work to a client.
The vendor's UK AI review material addresses solicitors as well as internal legal departments and promotes faster review with retained professional judgment. Its product pages also describe reducing routine contract work and administrative effort. No accompanying procedure explains how a firm records AI time, adjusts a client invoice, discloses savings or passes through Oneflow charges. Subscription pricing is the buyer's software cost rather than a client billing policy.
Because the audience includes lawyers serving clients, the time savings claims cannot be treated solely as an organization's internal operating expense.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
Definely's privacy appendix names Azure for user content, with advance notice before those processors change. It separately identifies analytics, payments, licensing and customer management providers. The trust center offers a data processing agreement, security reports, architecture material and AI security documentation through an access request. This gives a firm named processing information and a route to diligence material, without a dedicated client consent or notification pack.
Oneflow supplies a public DPA, global and North American service terms, an AI appendix and a subprocessor table with functions and processing locations. Optional AI suppliers include Legly and OpenAI, and administrators can control optional services. A public ISO certificate and statement of applicability support security diligence; SOC reports require an NDA. These materials help counsel explain data handling to a client.
They do not form a dedicated client AI disclosure package, and the generative AI confidentiality exclusion and conflicting regional descriptions require specific attention in any outside counsel approval process.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
The Claude connector can return contract review results in HTML, DOCX and table formats, including issues and reference reports. Audit logging also appears in Definely's trust center. These artifacts support retention of findings, but no combined record identifies the model, retrieved sources and human verification for a particular court filing. The workflow remains centered on transactional agreements rather than certification under a judicial AI disclosure order.
AI Insights supports an export of portfolio analysis, and reviewers can inspect the contract passages associated with a playbook finding. Insights Premium adds an action report for internal discussion and negotiation. Enterprise also includes an account audit log, while signing workflows maintain transaction records. The published export instructions do not establish a complete record of model identity, prompt, output and human edits for each AI action.
These are useful contract administration records, but no court disclosure template or complete model provenance export is described for a later filing.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Good Law Verification
Which one fits
Choose Definely if
- Lawyers need to follow definitions and related provisions while drafting.
- Precedent clauses live in iManage or NetDocuments.
- Complex transactional agreements matter more than routine lifecycle administration.
Choose Oneflow if
- The project includes business approvals, signatures and renewals.
- Salesforce opportunities should generate contracts with current commercial data.
- A shared web agreement suits both legal and sales users.
In summary
Definely
Definely brings definitions, reference navigation, precedent retrieval and generative analysis into Word. Its focus is complex transactional drafting, with Vault connections to repositories including iManage and NetDocuments.
Oneflow
Oneflow handles a contract's business process in a shared web workspace. AI review sits beside approvals, signature, Salesforce synchronization and portfolio insights, with English and Swedish identified as its strongest AI languages.
Questions buyers ask
Does Definely replace Oneflow's contract lifecycle workflow?
Its principal products focus on drafting and review within Word and connected precedent repositories. Oneflow provides the surrounding business process, including approvals, signature and ongoing contract management. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Which product brings precedent definitions into a Word draft?
Definely Vault can insert precedent clauses with associated definitions and references. Oneflow's review instead displays configured playbook concepts and example clauses in its agreement review interface. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Are Definely's model providers fully identified?
Its public material describes retrieval and agent architecture without specifying all production foundation models or versions. A Claude connector is an integration and does not identify every model used inside Definely. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
What should determine the first product demonstration?
For lawyers choosing where the daily work happens, AI Legal Index distinguishes Definely's connected Word drafting tools from Oneflow's shared agreement and business workflow. A representative complex draft and a CRM driven contract exercise would test different requirements.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Definely's Claude connector and Oneflow's Salesforce connection serve different stages of legal work.