August vs Vesence: how they compare in 2026
These two are not usually evaluated against each other. August is a Delaware company selling a legal AI workspace into firms in the United States, the United Kingdom, Australia and India. Vesence is Swedish, processes exclusively in the EU and sells to Nordic firms and other professional services businesses. Put side by side, two small and recent vendors turn out to document their products thoroughly, and they get there the same way. Both publish their contracts. Between them they publish a platform agreement, a security addendum, data processing agreements, dated subprocessor lists, an AI policy and law enforcement guidelines, with liability caps, indemnities and training prohibitions all readable before signing. Where they differ, August goes deeper on integration, with a bidirectional SOS connection and tracked changes inside Word. Vesence goes deeper on residency and models, naming each EU region and the models themselves. Neither publishes an accuracy measurement, and neither publishes a figure for what it costs.
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.
Every named capability on the product pages is model driven. An Assistant answers across a document, a folder, email or the web; Tabular Review turns thousands of contracts into a comparison grid; clause drafting and rewriting run inside Word; and Agents chain research, analysis and drafting into multistep workflows. No underlying document management or practice management system would survive the models being removed. The systems of record belong to someone else: Word, Outlook, SharePoint and SOS are integrations into the firm's existing stack rather than August's own conventional product. The company calls itself 'Configurable Legal AI' in its own footer and describes co developing workflows on a firm's precedent and drafting standards.
There is no conventional product underneath. The four Office add-ins have no non-model function at all: what they do is draft, redline, reformat, cross-check and quality-check, and each of those is model work. The web workspace holds files, chats and drafts in a project, but it exists to give the agent context rather than to be a document management system, and the vendor describes the whole thing as one agent across five products. The systems of record stay where they are, in Word, Outlook, Excel, PowerPoint and the firm's own files. Annex 1 to the data processing agreement puts it plainly from the other direction, describing the processing as machine learning algorithms processing collected text to generate responses and insights. Remove the models and nothing remains to sell.
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.
The AI Policy of January 2026 states that August runs 'testing protocols for accuracy and reliability verification before and after deployment' and conducts regular audits of AI system performance. It publishes no figure, no test set and no evaluation that could be assessed. Grounding is claimed in product terms rather than described: SharePoint documents 'become available for citation, analysis, and drafting', and the Assistant answers from documents, folders and the web. No retrieval method is published, and the product does not ground to primary authority. The Terms of Service at 1.5 and the AI Policy at section 5 both state that output is AI generated and may contain errors, misstatements or be incomplete. That is a real statement of limits rather than a bare claim not to hallucinate. Accuracy is asserted without measurement.
Accuracy is acknowledged candidly but never measured. Clause 3.6 of the general terms says that, because AI is probabilistic, the services may sometimes produce inaccurate output or suggestions, and that this is not a Defect. Putting that acknowledgment in the operative agreement, rather than a footer disclaimer, is the opposite of claiming there are no hallucinations. No accuracy figure, test set, benchmark or evaluation is published. The product's answer is checking rather than grounding: a one click check described as reviewing hundreds of errors across documents and inboxes, and cross checking spreadsheet data against source documents. Neither is a described retrieval method, and the product does not ground answers in primary law.
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.
Review surfaces are real and specific. In Word, August 'applies changes you can accept or reject in Word's review mode', and the drafting surface shows a Preview step before generation. The AI Policy commits in writing to communicating how AI generated output should be reviewed and verified and to 'the importance of human oversight in legal work', and the Terms of Service at 1.5 place the product on the tool side of the advice line. The threshold at which the system acts alone is missing. The product ships Agents running two step workflows and an Outlook capability described as 'Draft and send replies'. Nothing published states what an agent may complete unattended or what happens after it is wrong.
The review step is strong, but nothing says what the agent does on its own. Every edit an agent makes lands as a tracked change in Word, Excel, PowerPoint and Outlook, with accept and reject controls. The human check is the normal review mode of the application the work already lives in, not a separate approval screen. The duty to use it is in the contract. Clause 4.2 requires the customer to assess the accuracy and quality of input and output for its intended use, including through human review, and clause 10.5 repeats it. What is not published is what the agent does unattended. Nothing says which steps finish without a person, what the agent does when uncertain, or what happens when it is wrong. The Outlook feature is described as drafting rather than sending, but that limit is not stated.
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.
Eight named customer stories are published, each on its own page: Hughes Hubbard, described as an Am Law 150 firm deploying August across legal and business teams; Hicksons in Australia; Harrison Drury; Mission Australia; White Summers; ELP in India; HDRB&B; and Dunning Vallejo & MacDonald, a firm of twenty lawyers. One carries a figure, Hicksons at 90 percent faster document review, and a partner at that firm is quoted by name and title. Measurement is missing: the customer index carries no dates and no basis for the 90 percent figure, and no method is published alongside it. The individual case study pages were not opened and may say more.
Four law firms are named with their own case studies: Cederquist, Snellman, Andulf and Kanter, all Nordic, covering M&A, fund formation and full service practice. One carries a figure tied to a named person: Maja Wettergren, Managing Partner at Cederquist, is quoted as reaching 90 percent weekly usage across the firm. Several case studies are dated, with the Snellman piece dated 25 June 2026. What is missing is outcome measurement. The one figure is an adoption rate, showing how many lawyers used the product rather than what changed in the work, and no method or basis is given. The individual case studies were not opened, so this rests on the customer index and home page only.
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.
Training, provider retention and deletion are settled in the agreement; privilege and matter segregation are not. Section 11.8 of the Terms of Service prohibits training on Content and Customer Data and extends that to subprocessors other than cloud storage providers, which are also barred from retaining the material for human review. That settles the position of third party model providers. Section 7.4 deletes remaining Content within 30 days of termination, and clause 6 of the Data Processing Addendum requires return or deletion on the customer's reasonable request. Nothing published addresses attorney client privilege or work product treatment. Nothing documents segregation by matter for a product sold to law firms. The home page commits that no client document trains a model reachable outside the firm, which is a boundary at firm level. The SharePoint integration states that August 'gains access to your entire SharePoint repository', which is the shape a firm's ethical walls exist to prevent.
The agreement settles training and retention, but not matter separation or privilege. Clause 7.1 says Vesence will not use Customer Data to train AI models and will not let its subcontractors do so. Annex 1 to the data processing agreement sets out retention in detail, with instantaneous processing and no storage by default. The position on model providers is detailed. Inference entities are named per route. Microsoft has approved Modified Abuse Monitoring, so prompts and completions are not stored on any production Azure OpenAI account, and OpenAI routing is limited to zero data retention endpoints. Two gaps remain. Separation is stated at tenant level, with all customer data logically isolated per tenant, but nothing addresses separation between matters or teams within a firm. And nothing addresses privilege or work product directly.
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.
The advice line is stated twice and in the agreement itself: Terms of Service 1.5 and AI Policy section 5 both say the Service is a research tool and its output is not legal advice. The AI Policy reaches part of supervision and competence by committing to communicate the capabilities and limitations of the systems, how output should be reviewed and verified, and the importance of human oversight. The audience is clear: the product is sold to law firms and in house teams, and there is no surface for consumers. No jurisdiction limits are stated, and no bar or ethics opinion is engaged anywhere.
Vesence states fully in its agreement that its output is not advice. Clause 10.5 says output and materials from the services are not professional advice of any kind, naming legal, tax, accounting, financial and investment advice. It says Vesence is not an advisory firm, does not know the full context in which output will be used, and is not responsible for decisions, actions, omissions or reliance based on it. Clause 4.2 adds the customer's duty to conduct human reviews, which addresses supervision. Two things are missing. No jurisdiction limits are stated, and no bar or ethics guidance is engaged. Vesence is Swedish and engages the EU Artificial Intelligence Act at clause 3.2 instead, which binds the supplier rather than the lawyers using it.
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.
The AI Policy of January 2026 is a real framework rather than a principles page. It commits to the EU Artificial Intelligence Act, Regulation (EU) 2024/1689, by name, and requires AI literacy training for all employees involved in AI development, deployment and operations. It lists internal AI governance policies, testing protocols before and after deployment, change management for regulatory adherence on update, and regular audits of AI system performance and safety. Clause 7.5 of the Data Processing Addendum adds a commitment to review compliance with new AI legislation and negotiate amendments. Two things are absent: no individual or function inside the vendor is named as accountable, and no testing result is published, including nothing on uneven output across matter types or populations.
One real governance commitment exists, in the contract rather than on a web page. Clause 3.2 of the general terms requires the services to comply with laws including the EU Artificial Intelligence Act. That is a named obligation the customer can enforce, and more than a principles page. Nothing else is published. There is no governance framework, no person or team accountable for model behavior, no testing regime before release, no ISO 42001 or similar certification, and nothing on uneven output across matter types, counterparties or groups of people. The third party audits on the security page are security assessments, a different subject.
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.
All five elements are published and specific enough to hold the vendor to. Retention and deletion: Terms of Service 7.4 deletes remaining Content within 30 days of termination, Data Processing Addendum clause 6 requires return or deletion on reasonable request, and Security Addendum section 9 keeps system audit records for one to ten years. Access control: unique IDs, multi factor authentication and least privilege, with personnel barred from Customer Data except to support the Service or comply with law. Access to systems holding Customer Data is removed within 1 day of separation and all systems within 3 days, with quarterly privilege reviews and background checks. Subprocessors: a dated list names Microsoft, OpenAI, Google Cloud Platform and Amazon Web Services with processing regions, with 30 days advance notice of additions under clause 3.2 and a 15 day objection right at 3.3. Incident practice: notification without undue delay and within 48 hours of becoming aware, one year log preservation, and independent forensic specialists at August's expense. No default retention window for prompts and outputs during the term is published.
All five elements are published, current and specific. Retention is set out in Annex 1 to the data processing agreement: processing is instantaneous and no personal data is stored by default, with the sole exceptions of prompts inside customer-created agents, retained until the customer deletes them, and an optional Cloud agents feature, off unless the customer switches it on, which persists conversations and files until deleted or deactivated. Deletion runs on customer instruction at clause 9.3, with copies destroyed unless law requires retention. Access control covers Microsoft Entra ID with token-based authentication, role-based access with least privilege, enforced multi-factor authentication, audit logging and automated session management, with customer-side administrator control of users at clause 4.5. The subprocessor list is dated 20 May 2026 and names each legal entity, its headquarters, role, processing regions and whether it is required or optional. Incident practice is set out at clause 5 of the DPA: notice without undue delay, root cause investigation, description of the breach and affected data, and coordination on public statements and regulator notices. The one thing not published on a public page is a fixed breach notification deadline in hours.
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.
A buyer can read the whole allocation of loss before signing, with figures. Section 8.1 gives a third party intellectual property indemnity for use in accordance with the Terms and Documentation, with the exclusions stated. There is no obligation where the claim is attributable to materials not provided by August, or where output results from input the customer knew or should have known was likely to lead to infringement. Section 10.2 caps liability at the greater of twelve months of fees or 250,000 dollars. Section 10.3 raises it to the greater of twice twelve months of fees or 500,000 dollars for data breach claims under the Security Addendum or Data Processing Addendum and for confidentiality breaches by either party. Section 9.2 warrants conformity with the Documentation, workmanlike delivery, non infringement to August's knowledge and legal compliance, and 11.11 commits to insurance from carriers rated A.M. Best A minus, VI or better. August does not stand behind output accuracy: the Service is provided as is under 9.3 and the indemnity is confined to infringement.
A buyer can read the whole allocation of loss before signing, with figures. Clause 10.2 caps each party's total liability per contract year at fifty percent of the subscription fees invoiced that year and excludes indirect damages. Clause 10.3 lifts the cap for intent and gross negligence, clause 10.4 lists six exclusions, and clause 10.6 sets claim windows of three months from awareness and six months from occurrence. Clause 11.1 gives an intellectual property indemnity from Vesence to the customer. Clause 11.2 sets the remedies in order: get a license, replace, amend, or terminate and refund prepaid fees. Clause 11.3 makes this the sole and exclusive remedy. Warranties are real. Clause 3.2 promises professional, workmanlike service that complies with law, including the EU AI Act, and clause 6.3 warrants noninfringement to the best of Vesence's knowledge. Vesence does not stand behind output, and says so: clause 3.6 says occasional inaccurate output is not a Defect. The fifty percent cap is lower than the common cap of a year's fees, and a buyer should price that in.
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 integrations page describes what moves, in which direction, and what the firm connects. SOS, the practice management system, is bidirectional and says so: August syncs matters, contacts and case data in, workflows run on live matters, and 'Completed reviews, summaries, and outputs sync back to SOS'. SharePoint is inbound after a one time account connection, with selected documents becoming available for citation, analysis and drafting on the same footing as uploads. Word is in place rather than sync, chatting with the open document and generating edits as tracked changes in review mode, with firm playbooks applied. Outlook covers search across the mailbox, thread summarization and reply drafting. The limitation worth naming is that all of this lives on a marketing page: no developer index, help center or implementer documentation exists anywhere in the site navigation, footer or legal hub, and iManage and NetDocuments, the two document management systems most large firms run, are not among the named connections.
The product lives inside the drafting environment rather than connecting to it, and each surface has its own page describing what it does: tracked-change generation and template filling in Word, house-style drafting and inbox-wide error checking in Outlook, spreadsheet review and cross-checking against source documents in Excel, and slide quality checks and firm formatting in PowerPoint, with distribution through Microsoft AppSource and a mobile continuation of the same workspace. That is real depth in the four applications a professional services firm actually drafts in. What is absent is the rest of the stack a law firm runs. No document management integration is named, and iManage and NetDocuments do not appear anywhere, which matters more here than for an in-house product because the firm's matter files live in a DMS. No API, developer documentation or implementation guide is published, and nothing describes what synchronizes or what a firm must configure beyond installing the add-ins.
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.
Section 2 of the Security Addendum states that customer data and content reside in data centers matching the geographic region specified in the order form. A customer may request storage in a separate region, which August will use commercially reasonable efforts to accommodate where its cloud providers support it. The subprocessor list names the regions in play: United States, European Union, Switzerland and Australia. The home page advertises hosting in the region of the buyer's choice and EU and US options. Two things are absent. The tenancy model is never stated, so a buyer cannot tell whether the deployment is multi tenant, single tenant or private, and the subdomain per firm shown in product images is not described as a separation boundary. Processing location is not addressed as distinct from storage location, since section 2 speaks only to where data reside.
Vesence publishes where data is processed in detail, and separates processing from storage throughout. The subprocessor list gives regions by route: Sweden Central as the main Azure region, West Europe for Static Web Apps, EU Azure OpenAI regions or DataZone deployments where Azure inference is used, and eu-central-1 in Frankfurt for the AWS Bedrock route. Annex 1 to the data processing agreement says processing happens only within the EU and EEA, and the security page repeats it. Tenancy is stated too: all customer data is logically isolated per tenant, within a Zero Trust architecture with redundant infrastructure, automatic failover and point in time recovery. The subprocessor page even says which deployment types should not be used for EU traffic. The flip side is one region policy with no option outside the EU, so a customer that must keep data in a country outside Europe is not served. That is a disclosed limit on availability, not a gap in disclosure.
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.
Section 1 of the Security Addendum states that August's information security management system undergoes annual assessment by independent third party auditors. It says the company maintains SOC 2 Type II and ISO 27001 and will adopt an equivalent recognized framework if either is discontinued. Section 4 adds annual third party penetration testing and web application assessment against OWASP. Section 10 gives customers, at no cost, access to SOC 2 Type II reports, penetration test summaries and ISO 27001 certifications, plus up to 100 security questions a year. No auditor is named, no coverage period or report date is published, and the report route in section 10 runs to contracted customers rather than to a prospect. A trust center exists at trust.august.law, named in Terms of Service 12.5 as where the Business Associate Addendum sits. It blocked automated access on 2 September 2026 and may say more.
SOC 2 Type II is claimed with its scope named, but little else is published. The security page describes independently audited controls for security, availability and confidentiality. It states regular third party security audits and vulnerability assessments, and invites IT and compliance teams to ask for the report. Missing: no auditor is named, no coverage period or report date is published, no penetration test summary is offered, and there is no trust center or portal. The route to the report is an email to support, and what is needed to get it could not be established. Clause 6 of the data processing agreement gives the customer, or an auditor it appoints, a right to inspect. That helps a signed customer but gives a prospect nothing to read.
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 subprocessor list of January 2026 names four AI providers under its own heading for model providers and infrastructure: Microsoft, OpenAI, Google Cloud Platform and Amazon Web Services, each with its processing regions. Data Processing Addendum 3.2 commits to 30 days advance notice before any new subprocessor begins processing, with a 15 day objection right. Providers, location and change notification are therefore published. The models themselves are not named. The home page describes August as model agnostic across Anthropic, private OpenAI endpoints and Llama, which mixes two providers and one model family rather than listing models. It also sits awkwardly against the subprocessor list, where Anthropic does not appear. Three further subprocessors that touch content are identified only by function, as web browsing, knowledge source and email subprocessors.
Vesence names its models, providers and regions, and commits to notice of new providers. The product pages name models including GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.5, Opus 5, Opus 4.8 and Gemini 3.7 Flash. A dated subprocessor list names providers as legal entities: Microsoft Ireland Operations Limited, Amazon Web Services EMEA SARL and OpenAI Ireland Ltd, each with headquarters, role and status. Regions are given per route, from Sweden Central to Frankfurt. The routing is explained. Claude models reached through Bedrock make AWS the subprocessor, OpenAI models reached through Azure make Microsoft the subprocessor, and the customer chooses which routes are enabled. Clause 7.2 of the DPA commits to updating the list before any new subprocessor is authorized, with a ten business day objection right at 7.3. Two limits. Customers must check for changes themselves, since the DPA asks them to monitor the page with a URL tracking service. And the home page says Vesence switches to a better model as soon as one ships, so version changes within an approved provider are not notified.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
No pricing page appears in the site's own navigation or footer, and no figure, unit of charge or tier structure is published on any page that loads. The routes offered a buyer are Book a Demo and a self serve sign in at app.august.law, alongside a seven day free trial named in the home page metadata and an offer to build a live workflow free within a week. A pricing page at august.law/start-now remains in search results carrying tier names, a feature split and a monthly figure. It returned a 404 on both the www and non www forms of the URL, so nothing on it could be confirmed against a page the vendor serves. The only other figures located are in January 2026 trade press, and they disagree with the indexed page, so neither is recorded here.
The unit and the structure are published without the figure. Clause 5.1 puts subscription fees in an Order Form; clause 5.4 caps annual indexation at five percent; clause 5.2 allows fee changes only in proportion to documented changes in third party costs such as Microsoft Azure; clause 12.1.3 sets twelve month automatic renewals terminable on sixty days notice; clause 12.1.2 gives a right to exit within the first three months of the initial term; and section 13 provides that a Pilot is free of charge unless the Order Form says otherwise. The usage-based unit is named rather than gestured at, with Annex 1 to the DPA describing Vesence Credits and consumption tracked at user, matter and day level. A free trial is offered from the home page. What is absent is everything above that: no pricing page, no tier names, no feature splits and no figure anywhere, and the structure sits in the agreement rather than on a commercial surface.
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.
Coverage is described with substance on both dimensions. Seven practice areas are named on the home page with a time saved figure attached to each: Corporate and M&A, Litigation, Disputes, Real Estate, Capital Markets, Regulatory and ESG, and Healthcare. Segment reach is evidenced by the customer roster rather than only claimed, running from a twenty lawyer firm through midsize firms such as Hicksons and Harrison Drury to the Am Law 150, and including in house teams at Mission Australia, Outside GC and DevRev. Geography is specific: the About section names expansion into England, Australia, Colombia, the Middle East and India, and dedicated India and Australia pages exist. What is left open is the boundary. Nothing states which practice areas or firm types the product is not built for, and the founding story's emphasis on midsize firms sits unreconciled with an Am Law 150 firmwide deployment.
Practice coverage is laid out in detail, but not where it stops. Seven areas each have their own page: corporate, banking and finance, fund formation, dispute resolution, compliance, family law and business support. The corporate page, for example, describes diligence across a data room and keeping defined terms and cross references consistent from term sheet to signing. What is left open is the boundary and the segment. No firm size is named, and nothing separates what a large firm gets from a small one. No jurisdiction is stated, though the named customers are Nordic and the agreement is governed by Swedish law with Stockholm arbitration. The buyer is also broader than legal. Vesence addresses law firms, banks, investment funds and enterprises together and calls itself made for professional services. A reader cannot tell where legal capability ends and general document work begins. Nothing says what the product does not support.
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 prohibition sits in the agreement at clause 11.8 rather than on a policy page, and it extends to subprocessors: all but cloud storage providers are barred from training on the material and from retaining it for human review. Section 3 of the AI Policy repeats the commitment. Two adjacent permissions are disclosed, and neither reaches Content or Customer Data. Clause 11.7 allows Usage Data, defined to exclude Content and Customer Data, to be used for service development.
Clause 3.4 allows free use of Feedback but bars any use that could identify the customer, its users, its Customer Data or its Content.
The prohibition is in the operative agreement at clause 7.1 and extends outward in the same sentence, which adds that Vesence will not permit its subcontractors to train on Customer Data either. It carries one proviso, unless explicitly agreed in writing, which is a variation clause rather than a product setting: nothing describes a configuration in which training is switched on. Annex 1 to the data processing agreement confirms the prohibition applies to the optional Cloud agents feature as well.
Two adjacent permissions are disclosed and neither reaches content. Clause 7.2 allows Vesence to collect and disclose quantitative data derived from use of the services, described as statistics about which features were used, in anonymous and aggregated form. That clause names feature usage rather than machine learning, so it does not qualify the prohibition.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Clause 6 of the Data Processing Addendum gives the customer a standing contractual right to require return or deletion at any time, not only at termination, and Terms of Service 7.4 deletes remaining Customer Data and Content within 30 days of termination unless the customer instructs otherwise. Control therefore runs by contractual instruction rather than by a product setting. No default in term retention window for prompts and outputs is published anywhere, and no zero retention option is stated as available.
Separately, Security Addendum section 9 retains system audit records for a minimum of one year and a maximum of ten, which covers system activity logging rather than prompt and output content.
Zero retention is the default rather than an option the customer has to find. Annex 1 to the data processing agreement states that each processing is instantaneous and no personal data is stored, and the security page adds that documents are processed in memory and never persisted beyond the session. Persistence exists but the customer switches it on: prompts inside customer-created agents are retained until the customer deletes them, and a Cloud agents feature stores conversations and uploaded files between sessions, described expressly as optional and not activated by default.
Where a customer does enable it, retention runs until the customer deletes the data, deactivates Cloud agents, stops using the service or requests removal, with storage in Vesence's Azure environment under the same no-training and tenant isolation terms. Usage data for Vesence Credits, where usage-based pricing is enabled, is retained for the term or until the customer asks for deletion.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The boundary is drawn at the firm rather than the matter, with no ethical walls or segregation between matters described. No located material addresses ethical walls or segregation of one matter from another. The nearest statements point the other way: the home page commits that no client document trains a model anyone outside the firm can access, which draws the boundary at the firm rather than the matter, and the SharePoint integration states that August gains access to the firm's entire SharePoint repository once connected, without describing whether retrieval enforces the source system's per user access model at query time.
Security Addendum section 4 constrains August personnel access but says nothing about separation between the firm's own users.
Vesence operates its own permission model rather than inheriting one, and documents it at the level of the tenant. The security page states logical isolation per tenant alongside role-based access control on least-privilege principles, Microsoft Entra ID token-based authentication, enforced multi-factor authentication and a Zero Trust architecture verifying every request. Clause 4.5 of the general terms puts user administration in the customer's hands, giving nominated personnel administrative privileges to manage users and access logging.
The gap matters for this buyer in particular. Vesence sells to law firms, where the question is whether one matter team can reach another's material, and nothing published addresses separation between matters, teams or users inside a single tenant. Tenant isolation answers the question between customers, not within one.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
August publishes a dedicated Law Enforcement Guidelines page committing to notice unless legally prohibited. Where a gag order applies, it states it will request a waiver, document that request in writing, and notify the customer as soon as the restriction expires. It also directs requestors to the customer first where legally possible, states it does not volunteer data to government agencies, and limits foreign government responses to MLAT, letters rogatory and CLOUD Act channels.
Terms of Service 11.6 gives advance notice of legally required disclosure where permissible, and Data Processing Addendum 4.1 repeats the commitment. Section 5.3 says records of requests received and responses are maintained, but no transparency report was located.
Clause 4.1(a) of the data processing agreement commits Vesence to notice before it acts. Where EU or member state law requires processing without the customer's instructions, Vesence will tell the customer before processing. The only exception is a legal ban on telling, on important grounds of public interest. Notice before, rather than after, is the stronger form. No transparency report was found, so nothing shows how many requests have been received or how they were answered.
Clause 8.3(e) of the general terms separately excludes legally compelled disclosure from the confidentiality duty without addressing notice. This finding rests on the two clauses read together.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Section 3 of the AI Policy states that August secures the necessary rights and licenses for datasets integrated into the Service and monitors third party compliance when collecting such information, but it identifies no source. Checked the home page, the Assistant, Tabular Review and integrations pages, the AI Policy and the subprocessor list on 2 September 2026; no primary law collection, publisher or jurisdiction coverage statement was located.
The product works chiefly on the firm's own documents plus SharePoint, email and web content rather than a published body of primary law, so the usual coverage risk does not arise. The subprocessor list carries an unnamed knowledge source subprocessor for knowledge sources and URL searching, so a third party sits behind that retrieval and is not identified.
The product brings no legal corpus of its own, working instead on the documents and text a firm supplies. No corpus is identified and none is claimed. Annex 1 to the DPA describes the material as text the user provides: documents, agreements, questions, answers and conversations. The product works on the firm's own files and the counterparty documents in front of it, not on a published body of law. Coverage and licensing questions about a legal corpus do not arise.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Good law checking is absent from a product whose retrieval targets are documents, SharePoint, Outlook and the web. No located material addresses subsequent history, treatment flags or citator coverage. The product does not claim to retrieve primary law and its named retrieval targets are uploaded documents, SharePoint, Outlook and the web, so no good law check is offered and none is asserted. The honest reading is that the question is not addressed rather than that a check exists in some weaker form.
Authority checking is outside the product's scope, since Vesence works on the firm's own documents. No public material addresses subsequent history, treatment flags or citator coverage, and none is claimed. The product drafts and checks documents rather than retrieving authority, so no good law check is offered; the dispute resolution practice page describes searching and structuring case material supplied by the firm rather than researching reported decisions. The question is not addressed, and no weaker form of checking is described.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Limits and errors are acknowledged in general terms, but behavior when an answer cannot be grounded is undescribed. Section 5 of the AI Policy commits to communicating the capabilities and limitations of the systems, and Terms of Service 1.5 states that output is AI generated and may contain errors, misstatements or be incomplete. Neither describes what the product does when it cannot ground an answer. No abstention or no answer path is documented, and no confidence or grounding score is shown in any published material.
Declining to answer is not part of how the product behaves, and its safeguard is a check after output exists. Nothing describes what the product does when it cannot ground an answer. Clause 3.6 of the general terms says the services may sometimes produce inaccurate output because AI is probabilistic, but that says errors happen, not that the system holds back. No path for declining to answer is documented, and no confidence or grounding score is shown. The one click check reviews output for errors after it is produced, which is correction, not refusal.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
Searched the AI Hallucination Cases database maintained by Damien Charlotin, and reporting on it, on 2 September 2026 on both the product name August and the corporate name Credicle Corporation. No court order, opinion or disciplinary record naming the product was located. This is a statement about the public record rather than a finding about the product. The search is weaker than usual because August is a common word that appears in case names, dates and party names throughout the database.
Searched the AI Hallucination Cases database maintained by Damien Charlotin, and reporting drawing on it, on 2 September 2026 on the product and corporate name Vesence and Vesence AB. No court order, opinion or disciplinary record naming the product was located. This is a statement about the public record rather than a finding about the product. Two things bound it: the vendor is Swedish with a Nordic customer base, and the database is heavily weighted to United States filings, so a European product is less likely to surface even where an incident occurred; and the product drafts and reviews documents rather than retrieving authority, so the fabricated citation exposure is structurally lower than for a research tool.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Checked the home page, the AI Policy, the Terms of Service and Platform Agreement, the Security Addendum, Data Processing Addendum, Privacy Policy, Law Enforcement Guidelines and subprocessor list, and the product, integrations and customers pages on 2 September 2026. A search scoped to the domain was also run. No located material names ABA Formal Opinion 512 or any state bar opinion. The AI Policy does engage a named instrument, the EU Artificial Intelligence Act, Regulation (EU) 2024/1689. That is legislation binding the vendor rather than ethics guidance binding its buyers.
Bar guidance on AI, whether American or from the Nordic markets where Vesence's customers are, has no counterpart in the product's commitments. Nothing engages with ABA Formal Opinion 512, any state bar opinion, or any bar or law society guidance in the Nordic markets where the named customers are. Vesence does commit, at clause 3.2 of the general terms, to provide the services in line with the EU Artificial Intelligence Act. That regulates the supplier, not the professional duties of the lawyers using the product.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The home page publishes a time saved figure for each of seven practice areas, from two hours in Capital Markets to seven in Disputes, and the customer material claims 90 percent faster document review at one named firm. Nothing located addresses what happens to the invoice when that compression occurs. The home page metadata names invoicing among the tasks the product automates, but no material shows that the invoicing feature records or distinguishes AI assisted work on a per matter basis, so no audit record of AI assisted work was established. Checked the home page, product and integrations pages, the customers page and the AI Policy on 2 September 2026.
Vesence's agreement describes a per matter record of AI work. Annex 1 to the data processing agreement says that where usage based pricing is on, Vesence Credit use is collected by user, matter and day and shown to the customer in the services. Credits are spent on AI work, so a firm on usage based pricing can see which matters the AI worked on, by whom and when. Two limits. The record exists only where usage based pricing is enabled, not for every customer.
And no fee guidance is published: nothing covers how AI assisted time should be billed to a client, disclosed, or squared with an hourly rate.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
All three artifacts a firm needs are published and reachable without an agreement. The subprocessor list of January 2026 names the AI providers as AI providers rather than as infrastructure, Microsoft, OpenAI, Google Cloud Platform and Amazon Web Services, each with processing regions. The Data Processing Addendum is published in full and its clause 3.2 commits to 30 days advance notice of new subprocessors with a 15 day objection right, which is the forwardable client facing instrument.
Alongside it sit an ungated AI Policy, Security Addendum and Law Enforcement Guidelines, all of which a firm can hand to a client. The limitation worth naming is that three subprocessors that touch content are identified only by function, as web browsing, knowledge source and email subprocessors, so a firm answering a client cannot name them.
All three artifacts are published and reachable without an agreement. The subprocessor list, dated 20 May 2026, names each legal entity with its headquarters, role, processing regions and required or optional status, and it separates the core hosting subprocessor from the AI inference providers, so a firm can tell a client exactly which entities may see its content and where. The model provider position is set out route by route, including that Anthropic is not listed separately where Claude is reached through Bedrock and why.
The data processing agreement is published in full and is drafted to be forwarded, with clause 7.2 committing to update the list before authorizing any new subprocessor and clause 7.3 giving a ten business day objection right. One practical limitation belongs on the record: notification is pull rather than push, since clause 7.2 asks the customer to monitor the page using a URL tracking service.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
A judge's standing order on AI would find review artifacts and security logs in the product, but no record built for disclosure. No located material addresses judicial standing orders on AI disclosure, verification certification, or exporting a record of which model produced which passage and who checked it. The Word integration produces tracked changes a lawyer accepts or rejects, which is a review artifact rather than a disclosure record, and the audit logging at Security Addendum section 9 covers information system activity for security investigation rather than document level model use.
A filing that must disclose AI use gets little help from the product, whose trail records edits rather than models. Nothing addresses court standing orders, AI use disclosure or certification of verification. No exportable record per document of the model used, sources retrieved and human verification is described. The product does leave a good trail in the document itself. Every agent edit is a tracked change a person accepted or rejected, and Vesence Credit use is recorded per matter where usage based pricing is on. Neither records which model produced which passage, so neither meets the need.
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
- Refusal and Uncertainty Behavior
- Bar Guidance Alignment
- Court Disclosure Support
Which one fits
Choose August if
- Your firm runs SOS and wants the work to come back. August documents the practice management integration as bidirectional, syncing matters, contacts and case data in so workflows run on live matters, with completed reviews, summaries and outputs syncing back, alongside SharePoint as an inbound source and tracked change generation inside Word's review mode.
- You want recourse stated with figures. August's terms give an intellectual property indemnity with the carve outs named, cap liability at the greater of twelve months of fees or 250,000 dollars, raise that to the greater of twice twelve months of fees or 500,000 dollars for data breach and confidentiality claims, warrant conformity with the documentation, and commit to insurance from carriers holding an A.M. Best rating of A minus, VI or better.
- You want to know what happens when a government asks. August publishes law enforcement guidelines committing to notify customers unless legally prohibited, to request a waiver where a gag order applies and document that request in writing, to notify once the restriction expires, to direct requestors to the customer first where legally possible, and to answer foreign government requests only through mutual legal assistance channels.
Choose Vesence if
- Your processing has to stay in Europe and you want the region named per route. Vesence states processing exclusively within the EU and EEA and publishes the regions individually: Sweden Central as the primary Azure region, West Europe for static web apps, EU Azure OpenAI or DataZone deployments for Azure inference, and Frankfurt for the AWS Bedrock route.
- You want to know which model, not just whose. Vesence names the models on its product pages, including GPT-5.6 Sol, Opus 5 and Gemini 3.7 Flash, names the providers as legal entities on a dated subprocessor list covering Microsoft Ireland, Amazon Web Services EMEA and OpenAI Ireland, explains which route makes which entity the subprocessor, and lets the customer choose which provider routes are enabled.
- You would rather nothing persisted at all. Vesence's data processing annex states that each processing is instantaneous with no personal data stored, and the security page adds that documents are processed in memory and never persisted beyond the session, with persistence arriving only where the customer creates agents or switches on the optional Cloud agents feature.
In summary
August
August is a legal AI workspace for law firms. It is built around an assistant that answers across documents, folders, email and the web, a tabular review grid for large document sets, and configurable agents that chain research, analysis and drafting. It works inside Microsoft Word, Outlook and SharePoint and connects to the SOS practice management system. According to the AI Legal Index, August's case rests on its published contracts: its platform agreement, security addendum, data processing addendum, subprocessor list, AI policy and law enforcement guidelines are all published in full. Its terms cap liability at the greater of twelve months of fees or 250,000 dollars and bar training on customer data. No accuracy measurement is published, and no price could be confirmed from the vendor's own pages.
Vesence
Vesence is an agentic AI platform for law firms and other professional services businesses, built to run inside Microsoft Office rather than alongside it. The same agent works across Word, Outlook, Excel and PowerPoint and in a web workspace, and every edit lands as a tracked change the user accepts or rejects. According to the AI Legal Index, Vesence processes exclusively in the EU, names each processing region and names the models themselves. Its terms bar training on customer data, and documents are processed in memory and never persisted beyond the session. No accuracy measurement or price figure is published.
Questions buyers ask
Are August and Vesence alternatives to each other?
Rarely. August is a Delaware company selling into firms in the United States, the United Kingdom, Australia and India. Vesence is Swedish, processes exclusively in the EU and sells to Nordic firms and other professional services businesses. They occupy the same product class, an agent working inside Microsoft Office, without competing for the same shortlist. The comparison is still worth reading, because both publish their contracts in full, from liability caps and indemnities to training prohibitions. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
Do either train on client documents?
Neither does, and in both cases the prohibition is contractual rather than a policy statement. Clause 11.8 of August's terms bars training on content and customer data and extends that bar to subprocessors other than cloud storage providers, which are also barred from retaining material for human review. Clause 7.1 of Vesence's terms states that it will not use customer data to train AI models and will not permit its subcontractors to do so, with a proviso for anything explicitly agreed in writing. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
Which one names the models rather than the providers?
Vesence. It names GPT-5.6 Sol, Opus 5 and Gemini 3.7 Flash among the models on its product pages, and separately names the providers as legal entities with their processing regions and explains which routing makes which entity the subprocessor. August names four AI providers on its subprocessor list, being Microsoft, OpenAI, Google Cloud Platform and Amazon Web Services, with processing regions, and does not name the models. A home page line describing it as model agnostic across Anthropic, private OpenAI endpoints and Llama sits alongside a subprocessor list where Anthropic does not appear. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
What happens if a government asks for your data?
Both commit to notice, by different routes. August publishes dedicated law enforcement guidelines promising notification unless legally prohibited, a documented waiver request where a gag order applies, and notification once the restriction lifts. Vesence's data processing agreement commits at clause 4.1(a) to inform the customer before processing where law requires it to act without instructions, subject only to a prohibition on important grounds of public interest. Neither publishes a transparency report. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
What do August and Vesence both leave unpublished?
Neither publishes an accuracy measurement: no figure, test set or evaluation appears on either record. Neither names a bar or ethics authority, including ABA Formal Opinion 512. Neither documents what the product does when it cannot ground an answer. Neither publishes a rate. And neither addresses separation between matters inside a firm, which matters because both sell to law firms: August draws its boundary at the firm and Vesence at the tenant, and neither describes walls within one. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
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.
Two things belong on this page. Neither vendor stands behind the accuracy of its output, and both say so plainly. August provides the service as is under section 9.3 and confines its indemnity to infringement. Clause 3.6 of Vesence's terms provides that occasionally inaccurate output does not constitute a defect. Vesence's liability cap is also materially lower than August's: fifty percent of the subscription fees invoiced in the contract year, against August's floor of 250,000 dollars. One limit on this page. August runs a separate trust center, and its pricing page returns a 404, so no price figure appears on the vendor's own pages. Neither vendor reviewed this page.