eBrevia vs Oneflow: how they compare in 2026
eBrevia is a fit for legal teams whose priority is extracting provisions and reviewing large collections of agreements, including diligence work. Oneflow is a fit when those agreements must also originate from CRM data, remain editable during negotiation and pass through shared signing workflows. Both can turn documents into structured information, but Oneflow's playbook findings and portfolio charts sit inside a broader business contract process. eBrevia's contract management offering extends its analysis heritage without making the two workflows identical. On that distinction between bulk legal analysis and CRM driven contracting, AI Legal Index identifies the clearest starting point. The data terms diverge as well: eBrevia's published agreement permits content based service improvement, while Oneflow expressly bans model training. Oneflow's generative AI confidentiality exclusion remains relevant even with that stronger training restriction.
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.
AI drives eBrevia's extraction, contract questions, and suggested revisions. Contract Analyzer applies more than 700 prepared fields and supports optional custom extraction, while Lens answers questions without requiring a new model for each request. DraftPro applies playbooks and draws clauses from previous agreements to assist Word editing. Those capabilities sit alongside a conventional operating layer in Command: a repository, contract requests, assignees, priorities, due dates, and status changes. Removing AI would remove the intelligence and drafting functions, but the surrounding storage and contract work system would still have functions. The suite therefore combines an AI engine with ongoing agreement administration.
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.
Contract Analyzer presents extracted information beside the agreement and lets a reviewer jump from a result to the exact source text. Lens uses the same contract material for contextual answers, and DraftPro draws reusable clauses from agreements already in the repository. Users can validate, annotate, or correct results before exporting them. This gives contract findings a traceable basis, rather than treating generated language as an unsupported conclusion. Published review speed and accuracy claims are not accompanied by a reproducible evaluation dataset or a detailed failure analysis. The source links concern agreements, not a verified collection of judicial authority.
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.
DraftPro proposes redlines after applying the legal team's playbook, but the lawyer chooses which revisions enter the Word file. The review explains whether a provision passes or fails the chosen standard and allows navigation to the relevant clause. Contract Analyzer separately supports reviewer assignments, progress states, annotations, and quality assurance workflows. Command tracks ownership and activity as an agreement moves through drafting, review, negotiation, and signature. These are practical review surfaces and responsibilities. The product does not describe a confidence based stopping rule, an automatic route for every uncertain answer, or a recovery procedure after an incorrect result has been accepted.
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.
Named users describe concrete work with eBrevia. McDermott, Will & Emery attributes its ability to meet difficult review deadlines to the product. MUFG describes using custom trainable AI across different review needs, while Morris, Manning & Martin connects it with reducing data handling so lawyers can focus on analysis. Baker McKenzie discusses international deals, and Best World Group describes visibility across regional contracts. The product also advertises review time reductions of 30 to 90 percent. These accounts establish deployed legal and business uses, but the cited figures are not tied to a dated study with a reproducible measurement method.
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.
The service agreement treats uploaded Licensee Data as confidential and restricts disclosure to authorized recipients who need the information and carry matching confidentiality duties. It permits injunctive relief for a breach and requires steps to recover improperly disclosed material. Live customer data is deleted at termination or written request, with encrypted backups and legal retention exceptions. Public marketing promises no training on client data, while the incorporated Privacy Notice permits service personal data to support product improvement. The contract does not expressly exclude model training from that permission. Attorney client privilege, matter barriers, and downstream model provider retention receive no specific public treatment.
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.
eBrevia's service agreement defines its role as a tool for reviewing, summarizing, and managing legal material, expressly excluding replacement of legal advice. The customer remains responsible for decisions based on generated information. Authorized users include employees, attorneys, paralegals, and professional staff performing legal or related services. A licensee may share analysis with its clients, but direct client access requires a separate license. DraftPro reinforces lawyer control over proposed changes. These boundaries identify the product's professional role without setting out jurisdiction specific eligibility rules or a detailed account of how a firm should satisfy competence, supervision, and client consent duties.
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.
eBrevia offers Legal Advisory services covering AI use case selection, secure architecture, governance mapping, pilot evaluation, and adoption. Those services describe work for a customer's rollout, rather than a published policy governing eBrevia's own model development. Its leadership materials identify technical responsibility for the AI platforms, and its security program concerns protection of information. No public framework describes model release approval, bias evaluation, or results across languages and agreement types. Customer playbooks specify review positions, but they do not reveal how the vendor evaluates errors or uneven performance before introducing changes to its underlying AI.
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.
The customer agreement provides deletion of live Licensee Data at termination or on written request, while allowing encrypted backup copies for six months and retention required by law. The Privacy Notice supplies a similar rule for service personal data. Contract Analyzer describes encryption in transit and storage, and the wider platform offers access controls for enterprise use. Public materials also describe monitoring and independent security audits. They do not name a complete current subprocessor chain or establish a specific incident notification deadline. The service terms exclude protected health information, payment card data, and certain financial personal information from authorized uploads.
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.
The service agreement provides an intellectual property indemnity for claims that eBrevia's technology infringes third party rights, subject to a customer modification exclusion. That indemnity is expressly outside the general liability limit. Ordinary direct damages are capped at fees paid during the preceding 12 months, with consequential losses excluded and a one year limit for bringing an action. Separate exceptions cover specified personal injury, misconduct, and fraud claims. The functionality commitment uses commercially reasonable efforts, while accuracy and completeness are disclaimed. These terms provide defined recourse for technology infringement, but no specific indemnity or correctness warranty for generated legal output.
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.
DraftPro works inside Word and obtains clause language from the licensed eBrevia repository; users inspect suggestions and apply selected redlines to the draft. Connect handles incoming agreements and pushes extracted data into downstream systems. Its listed connections include iManage, NetDocuments, HighQ, Relativity, Salesforce, SharePoint, Microsoft applications, and reporting tools. Described operations include tagging files, assigning employees, validating data across systems, and generating reports. This establishes movement into and out of the contract platform. The public descriptions do not provide connector specific field mappings, permission synchronization rules, or installation procedures showing what each firm must configure.
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.
eBrevia operates as a hosted contract platform with a Word add in connected to the licensed environment. Its Privacy Notice says hosting defaults to the United States unless the customer instructs otherwise, while also identifying facilities across several continents. The same notice explains that business processes cross borders and processing cannot always be confined to the individual's country. No public tier matrix identifies the alternative regions available for every product, and no separate location is supplied for each generative model task. A hosting instruction therefore provides some regional control without a complete account of storage, processing, and provider locations.
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.
eBrevia states that it is independently certified for SOC 1 and SOC 2, and Contract Analyzer specifically names SOC 2 Type II infrastructure. The security description refers to continuing audits and monitoring, encryption, and controls for authorized access. It also claims GDPR and HIPAA compliance, which are separate from a disclosed audit report. No accessible report supplies the audit period, exceptions, or precise service scope. The public customer agreement additionally restricts protected health information, so the HIPAA marketing statement does not override that upload restriction or establish that a customer has an applicable business associate agreement.
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.
The suite distinguishes structured extraction from Lens, its generative layer for questions across contract material. Contract Analyzer has prepared fields and optional custom models, while DraftPro combines AI classification, playbook review, and clause reuse. eBrevia describes its own long development history in machine learning and natural language processing, but does not identify the foundation model providers serving current Lens or DraftPro requests. No version inventory, provider retention arrangement, or notification commitment for model changes is published in the product and contract materials. Named business integrations identify connected applications, not the model services that may process a customer's agreement.
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.
eBrevia quotes review projects according to contract volume, review scope, and required capabilities. Its service agreement sets fees and access in a proposal and defines a processed Document as no more than 300 pages. The default contract period is one year with annual renewal unless the proposal changes it, and nonrenewal requires 30 days' notice. Contract Analyzer, DraftPro, and Connect can form part of the licensed services. No numeric subscription rate or implementation charge is supplied publicly. Training and support appear within the service definition, but their inclusion and any additional cost depend on the negotiated proposal.
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.
The product addresses law firms, corporate legal departments, financial institutions, and audit or consulting teams. Law firm workflows include mergers and acquisitions diligence, bankruptcy and financing review, and compliance reporting. Contract Analyzer also supports leases, repapering, and migration of agreement data. DraftPro covers repeat commercial, employment, privacy, technology, finance, real estate, and corporate agreements, with sample playbooks for selected types and custom positions for others. Command extends contract information to procurement, sales, finance, and related business teams. Coverage is described through these tasks and examples, without a complete list of supported jurisdictions or performance boundaries for each language.
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 service agreement incorporates the Privacy Notice for uploaded material and service personal data. That notice permits personal information to support developing and improving products and services, without expressly excluding model training from that permission. The scope is personal data covered by the notice, not an assertion that every uploaded agreement is used for training. Public event material separately promises no training on client data, but a matching prohibition does not appear in the customer contract.
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?
The customer can instruct eBrevia in writing to delete live Licensee Data, and termination also triggers that deletion duty. The Privacy Notice similarly permits removal of personal data from live services on request. Encrypted backups may remain for six months, and legal retention requirements create an exception. This is control through a contractual instruction, rather than a published retention slider. No mode promises that prompts and generated answers are never retained during processing.
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?
DraftPro ties user access to the licensed eBrevia environment and can filter clause material by project, matter, contract type, or jurisdiction. Contract Analyzer supports assignments and enterprise access controls. Those features do not establish that retrieval enforces a firm's ethical walls or inherits the permissions of an upstream document repository. A matter filter organizes material for review; it is not, by itself, a documented security boundary preventing access to another client's information.
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?
The Privacy Notice allows disclosure in response to an information request when eBrevia determines that law, regulation, or legal process permits or requires it. It also covers disclosures to protect rights and defend legal claims. Neither that provision nor the service agreement commits to informing the customer before producing material, and no transparency report is supplied. The confidentiality clause limits ordinary sharing but does not add a separate notice procedure for compulsory demands.
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?
eBrevia's contract answers and clause library derive from agreements supplied to its repository. Lens asks questions of that material, while DraftPro reuses provisions from earlier contracts with filters for the current context. The service terms require the customer to hold the rights needed for uploaded material. No separate primary law collection, publisher license, or legal update schedule is described. Contract source traceability therefore establishes where an agreement answer came from, rather than the provenance of external legal authority.
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?
A reviewer can follow an extracted provision back to the contract and assess it against a playbook. Neither that process nor a Lens answer checks whether a judicial authority has later been reversed or limited. The products focus on contract language, obligations, and company positions, with no named citator or subsequent treatment mechanism. A governing law field identifies a contract term; it does not establish that the law applied to the agreement remains current.
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?
Lens is described as producing contextual answers linked to contract material, but no public example specifies what it returns when the agreement cannot support an answer. DraftPro's pass or fail result concerns compliance with a chosen playbook, not uncertainty in the model's interpretation. Users can correct extraction, add missing clauses, and reject revisions. Those review controls leave room for human judgment without defining an automatic refusal or abstention path for unsupported output.
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?
The AI Hallucination Cases database maintained by Damien Charlotin has no entry naming eBrevia or e Brevia. The database records court decisions involving hallucinated AI material and identifies tools when the proceedings do so. eBrevia mainly analyzes agreements and proposes contract language, rather than preparing briefs from judicial authorities. That focus does not make its output infallible, and the absence of a named court case is not a test of extraction accuracy or drafting quality.
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?
The service agreement separates software assistance from legal advice and places responsibility for decisions with the customer. DraftPro also keeps proposed changes subject to lawyer approval. These provisions establish a supervised product role, but no named bar opinion or jurisdiction specific ethics mapping accompanies them. The public materials do not connect use of Lens, shared client material, or automated contract revisions with particular duties of competence, confidentiality, disclosure, or supervision under a professional rule.
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?
eBrevia markets reduced review time and cost to law firms as well as corporate buyers. Its law firm use cases include diligence, financing review, and compliance reports, and the customer license expressly permits sharing resulting analysis with clients. These uses place the product inside legal service delivery where efficiency can affect a bill. The public product and contract materials do not explain how lawyers should record saved time, adjust billed hours, or disclose an AI related charge.
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?
The service agreement, Privacy Notice, and security statements provide general information about confidentiality, retention, and permitted data. They do not include a current named model provider chain, a complete subprocessor register, or a client disclosure package for outside counsel use. Lists of supported applications describe integrations rather than organizations processing data on eBrevia's behalf. A firm can use the public contract material in diligence, but it does not resolve a client's AI specific notification requirements.
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?
Contract Analyzer retains extracted terms beside source language and supports review status, annotations, and exported reports. DraftPro leaves selected revisions visible as Word redlines, while Command records contract activity and status changes. Those elements can help reconstruct what was reviewed. No public export combines the generating model, the full set of material used for an answer, and a named person's verification in one certificate. Contract analysis records therefore cover only part of a filing disclosure.
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.
- Primary Law Corpus Provenance
- Good Law Verification
Which one fits
Choose eBrevia if
- Bulk agreement analysis and diligence are the core legal workload.
- Extracting clause data across a document collection drives the purchase.
- The team wants contract management alongside an analysis focused product.
Choose Oneflow if
- Contracts should start from CRM opportunities and product data.
- Participants need one editable agreement throughout negotiation.
- Legal playbooks should operate within a business signing workflow.
In summary
eBrevia
eBrevia combines AI contract extraction and legal analysis with contract management features. Its established use cases include diligence and review of collections that need structured clause and obligation information.
Oneflow
Oneflow connects contract generation, shared editing and signature with AI metadata and playbook review. Its portfolio charts summarize configured risks, while CRM synchronization keeps commercial records connected to the agreement.
Questions buyers ask
Which product is closer to a diligence review project?
eBrevia's extraction and contract analysis focus is directly relevant to reviewing a collection for a transaction. Oneflow's portfolio review can identify configured risks, but its wider design centers the lifecycle of business agreements. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Do both products prohibit their own use of content for improvement?
No. eBrevia's terms grant a content based improvement license. Oneflow also permits service operations and analytics, but its AI appendix separately prohibits training models on customer data. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Can Oneflow review an existing PDF rather than a web contract?
Its review instructions cover PDFs and attached PDFs as well as agreements managed in the platform. Findings link to highlighted language and configured playbook concepts. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
How does the comparison change when sales owns the intake?
When opportunity data and signing are central, AI Legal Index highlights Oneflow's two way Salesforce synchronization. eBrevia's attraction remains the depth and scale of the legal analysis task rather than the same CRM creation sequence.
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.
eBrevia's improvement license and Oneflow's AI training ban are described separately from provider confidentiality.