Vincent now includes Canadian case law and legislation, built on the Jurisage dataset Clio acquired in June 2026 and since ingested and validated. Coverage runs past 567,000 judicial decisions plus federal and provincial legislation across the common law provinces, with Quebec and Nunavut legislation still in progress. The content feeds Vincent research, drafting and analysis, including checking existing citations against Canadian authorities.
V
Vincent AI
Vincent AI is a legal research and workflow assistant built on vLex's global legal database of more than one billion documents across more than 100 countries, combining vLex's international content with US primary law from Fastcase. Released in October 2023, it ships more than 20 prebuilt workflows across research, litigation, transactions and litigation intelligence, including Ask a Research Question, Build an Argument, Compare Jurisdictions and 50 State Survey, plus profiles of judges and opposing counsel drawn from more than 850 million court records.
Every research output cites primary sources with direct links and carries a Cert Citator check on whether the cited law remains valid; Cert comes from Judicata software that Fastcase acquired. The pipeline combines generative and rules based AI, and Vincent Studio adds workflow building without code for enterprise customers. Vincent integrates with Microsoft Word, Outlook and iManage, and with Clio Operate, where it inherits the firm's existing permissions, ethical walls and audit trail. Clio acquired vLex in June 2025, and the product is still sold under the Vincent name.
Vincent AI, head to head
Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.
Alternatives to Vincent AI
Vendors in the same categories as Vincent AI whose graded profiles look most alike, with a line on what each product does.
Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
- AAlexiAlexi is a legal intelligence platform for law firms.
- MMidpageLegal research platform built for litigators and law students doing in depth research, covering case law from United States federal and state courts plus tribal and military courts…
- OOne LEGALEOne LEGALE is Wolters Kluwer Italia's online legal research platform for Italian lawyers, built on legislation, commented case law, doctrine, journals and practice tools from the group's…
- IIntelligize+ AIIntelligize+ AI is the AI version of Intelligize, a LexisNexis platform for SEC disclosure, reporting and transactional research, run from New York.
- AAranzadi AllegraAranzadi Allegra is the generative AI legal assistant of the Spanish legal publisher Aranzadi LA LEY, working from the publisher's own collection of close to 10 million documents of…
- GGenIA-LGenIA-L is the generative AI legal assistant of the Spanish legal publisher Lefebvre, built to answer only from the publisher's own library rather than the open internet.
Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
Capability grades
All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
The AI is the product. Vincent is sold as an AI assistant, running more than 20 generative workflows across research, litigation and transactions, with a pipeline that combines generative and rules based components and vector search over the underlying data. The vLex database it retrieves from is the grounding source rather than a separate product that would stand without the models.
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.
Independent measurement, a named verification mechanism and grounding a user can open are all present. Vincent AI took part in the February 2025 Vals Legal AI Report, entering six tasks, and scored between 53.6 and 72.7 percent. It beat the lawyer baseline on document question answering at 72.7 percent, transcript analysis at 64.8 percent and document summarization at 58.9 percent. The evaluator also praised the product for refusing to answer where it lacked sufficient data rather than giving a hallucinated answer, and noted that those refusals lowered its scores.
Every research output cites primary sources with direct links and carries a Cert Citator check on whether the cited law remains valid. The vendor claims randomized controlled trials showing 3.67 times more reliability than leading language models, with no published method located. Two limits apply. The vendor describes the Vals results as meeting or surpassing human benchmarks in four of five tasks, while the evaluator reports six tasks entered and three above baseline.
And vLex agreed to join the later Vals legal research study, then withdrew before results were published, saying the study was not designed for enterprise AI tools.
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.
A real published commitment with genuine review surfaces, short of thresholds. The product is positioned as a first draft assistant, with the vendor's chief strategy officer stating publicly that lawyers still bear responsibility for validating research results even when using an AI assistant. Review surfaces are concrete: a user sees the sources an answer rests on and can exclude specific sources, every output carries citations with direct links and a Cert validity check, and the Clio Operate integration gives every interaction an audit trail with access scoped as narrowly as a single matter.
The vendor frames this as giving lawyers a clear path back to the source before an answer reaches a client, negotiation, filing or courtroom. Not located: what any workflow does unaided, a threshold at which it stops or escalates, and what the vendor commits to when an output is wrong.
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.
Scale claims and testimonials stand in for deployment evidence. The vendor states Vincent is trusted by 8 of the 10 top law firms worldwide and publishes an attributed customer testimonial about the relationship, and independent benchmark participation is real. But a share of top firms is a market claim without names, and the Vals result is test set performance rather than a production outcome. Searched the vendor site, the Vincent product pages, the Clio press material and the vLex news section and located no named customer paired with figures, a date and an assessable method.
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.
Substantial published commitments cover retention and segregation, and the vendor's own training position is missing. The customer selects the retention window for conversation logs and files, defaulting to one year, after which data is permanently deleted. Segregation is documented at matter level through the Clio Operate integration, which the vendor says inherits the firm's existing permissions, ethical walls and audit trail, with access scoped as narrowly as a single matter.
Vincent itself is described as multi tenant with each client's data logically isolated, and role based access control governs internal access. Zero retention agreements are stated with the language model providers, and Clio says no sensitive data is kept by the model. The vendor site, the Vincent pages, the security knowledge base article and the Clio press material, searched, said nothing about whether vLex itself may train on customer content. Provider retention and vendor training are different questions, and the material answers only the first.
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.
A real position on the lawyer's continuing responsibility is published in substance rather than as a disclaimer. The vendor positions Vincent as a first draft assistant. Its chief strategy officer has said publicly that lawyers still bear responsibility for validating research results when using an AI assistant, and the Cert validity check is framed as a clear path back to the source before an answer reaches a client, negotiation, filing or courtroom.
The audience is professional throughout, from solo to global law firms, corporate legal departments, courts, government agencies, bar associations and academia, with no consumer surface located. Competence and supervision duties are not addressed as such, and no jurisdiction limits are stated despite coverage across more than 100 countries where professional rules differ. The responsibility statement appears in trade coverage quoting an executive rather than in a standing published policy.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
Principles and evaluation are published without a governance mechanism a buyer could audit. Real elements exist. The vendor took part in an independent benchmark and published the results, including unflattering ones. It describes a hybrid architecture combining generative and rules based components for reliability, claims a program of randomized controlled trials, and describes Vincent Studio as building firm processes into workflows with consistency and governance.
The vendor site, the Vincent pages, the security knowledge base and the Clio press material, searched, showed no AI governance framework, no AI management certification such as ISO 42001, no named owner of model governance, no testing gate before release, and nothing on uneven output across matter types, parties or populations.
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.
Substantive published policy covering most of the ground, at a level of specificity few records here reach. Published in the vendor's security knowledge base: customer selectable data retention for conversation logs and files defaulting to one year with permanent deletion after, role based access control restricting internal access to authorized personnel under documented circumstances, logical isolation per client in a multi tenant application, encryption described, and regular independent assessments with real time monitoring to identify vulnerabilities.
A trust center is published for obtaining certification reports. Zero retention agreements bind the language model providers. Not located: a named subprocessor list, and an incident or breach notification practice.
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.
No published indemnity, liability cap, carve out, warranty on output or insurance position is published, and no customer terms of service or master agreement is published as published on the property.
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.
Real integrations exist, are named, and include the legal specific ones that matter. Named: Microsoft Word, Microsoft Outlook, and iManage, the document management system a firm facing research product most needs, plus a deep integration with Clio Operate under which Vincent runs inside the firm's existing permissions, ethical walls and audit trail. That last is integration at the permission layer rather than the file layer, which is materially deeper than a connector.
Vincent Studio adds a no code workflow builder for enterprise customers to embed firm processes. Not located: per integration documentation describing what each connector moves, in which direction, and what an administrator configures, and no integrations index page was reached.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
The tenancy model is stated and residency is not. The vendor publishes that Vincent is a multi tenant application with each client's data logically isolated and secured, which is a clear and honest statement of the deployment model and is more than several records here disclose. Searched the vendor site, the Vincent pages, the security knowledge base and the Clio press material and located no hosting provider, no named regions, no customer selectable residency, and no statement of where processing happens as distinct from where data is stored.
For a product serving more than 100 countries and marketed on cross border capability, published residency options would be expected and none is published.
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.
Certification is named, dated and reachable. SOC 2 certification was obtained in January 2025 and ISO 27001 certification in June 2025, both stated with month and year rather than as undated badges. A vLex Trust Center is published as the route to the official certification reports for a firm's due diligence, alongside an account representative, which makes it a self serve request flow rather than a sales gate. The vendor also says its security systems undergo regular independent assessments and real time monitoring. The auditing firm and the audit coverage period are not published.
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 vendor describes its architecture and the terms binding its providers without naming them. Published: a hybrid pipeline combining generative and rules based AI, vector search organizing more than one billion documents, and zero retention agreements with large language model providers. That tells a buyer the commercial terms that govern the model layer. What it does not tell them is who is in it. Searched the vendor site, the Vincent pages, the security knowledge base and the Clio press material and located no named model provider, no statement of where models run, no subprocessor list, and no commitment to notify customers when the supply chain changes.
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 is published, no rate is published, no unit of charge is stated and no tier structure appears on the surfaces reached. Every commercial path located terminates in a demo or contact request. No third party pricing figure is published either, beyond a general observation in review material that pricing may be competitive against the two largest incumbents, which is not a figure.
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 quantified and specific. The data spans more than one billion legal documents across more than 100 countries, US primary law from Fastcase, and more than 850 million court records behind profiles of judges, opposing counsel and parties. A Compare Jurisdictions workflow and a 50 State Survey workflow exist because coverage across jurisdictions is the product's stated strength, and the evaluator independently called its support for international matters a significant strength for global firms.
More than 20 prebuilt workflows span research, litigation, transactions and litigation intelligence. Segments run from solo and small firms, through the Fastcase heritage, to global firms, corporate legal departments, courts, government agencies, bar associations and academia. Limits are published too: the evaluator noted its study covered only a small part of US capability, and the vendor said document summary tasks do not draw on its legal database.
5 public documents
The public pages on file for Vincent AI, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.
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Ethical Walls and Matter Segregation, Primary Law Corpus Provenance, Good Law Verification and 1 more
Read Sep 27, 2026
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Prompt and Output Retention, Outside Counsel Guideline Readiness
Read Aug 29, 2026
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Client Data in Training
Read Aug 29, 2026
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Fabricated Citation Record
Read Oct 2, 2026
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Refusal and Uncertainty Behavior
Read Aug 29, 2026
Tracked changes at Vincent AI
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
A published agreement or policy exists and none of it addresses the question either way, or the document that would answer it could not be read and the summary names the retrieval limit. The summary states which shape the silence takes: an improvement right granted that never names training, or no improvement right granted at all.
The model provider layer is addressed and the vendor's own position is not. Published: zero retention agreements with the language model providers, and a Clio statement that no sensitive data is retained by the model. Those are retention commitments binding third parties, and retention and training are different questions. Searched the vendor site, the Vincent product pages, the security knowledge base article and the Clio press material on 29 Aug 2026 and located no statement of whether vLex itself may use customer content to train or improve its own systems, either way.
Recorded as silent under the rule that a value is never inferred from the absence of a contradiction, and specifically not inferred from a provider side retention term.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The customer controls the retention window, by product configuration or by contractual instruction, but zero retention is not stated as available.
The customer selects the retention period for conversation logs and files, the default is one year, and after the selected period the data is permanently deleted. That answers whether the window is disclosed, whether the customer controls it, and what happens at the end. No material says that zero retention is a selectable setting, which matters to a firm that wants nothing kept at all rather than kept briefly.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Retrieval enforces the source system access model at query time, per user, and the vendor documents it.
In the Clio Operate integration, the vendor says Vincent works within the permissions, ethical walls and audit trail already set up in that system. Access can be scoped as narrowly as a single matter or as broadly as the firm, and every interaction is visible. Retrieval therefore runs inside the firm's existing access model rather than a parallel one the firm must keep aligned, and ethical walls are named as such. Two limits apply.
The inheritance is documented for the Clio Operate integration specifically. No equivalent statement was located for Vincent used on its own or through the iManage connector, where the product's own multi tenant logical isolation and role based access control apply. Enforcement for each user at query time is implied by scoping to a single matter but is not stated in those words.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
No located term or policy addresses third party requests for customer data.
Searched the vendor site, the Vincent product pages, the security knowledge base article and the Clio press material on 29 Aug 2026, and no published customer agreement or data processing agreement was reached. No clause committing to notify a customer of a government or law enforcement request for their data was located, and no transparency report was located. Noted for a reader: the published retention control means a firm can limit how much history exists to be requested, which reduces the exposure without addressing the notification question.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The vendor names its primary law sources and the license or public domain basis for each, with an update cadence.
The sources are named and the rights basis is stated. The data is vLex's own global legal database combined with US primary law from Fastcase, both now owned by the same company, and the vendor says directly that the legal authority behind Vincent's research is owned rather than licensed from another party. Scale is quantified at more than one billion documents across more than 100 countries, plus more than 850 million court records.
Owning the data removes any dependency on a license. Update frequency is the gap: the vendor site, the Vincent pages and the Clio press material, searched on 29 Aug 2026, gave no update frequency or lag for any jurisdiction and no statement of completeness by jurisdiction.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Treatment signals come from a named commercial citator and appear with the authority.
Vincent answers the good law question directly. Every research output carries a Cert Citator check on whether the cited law remains valid, shown with the authority rather than as a separate step. Cert has a traceable origin: it comes from Judicata software that Fastcase acquired before the vLex merger, and the same company now owns it. Because the vendor owns the citator rather than licensing it, no outside party can withdraw it.
Coverage outside the United States is published and uneven. Clio's help article on verifying case law, updated 16 September 2026, shows positive and negative treatment counts and a negative treatment flag for cases in Canada, the UK and Ireland. In most other jurisdictions a case shows only how often it has been cited, which says nothing about whether it is still good law. The Canadian launch of 23 September 2026 adds checking of existing citations against Canadian authorities.
A buyer researching elsewhere should expect a citation count rather than a treatment signal. Verified 27 September 2026.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The vendor describes refusal or abstention behavior in public materials.
Abstention was observed independently, and it cost the vendor points. The February 2025 Vals evaluator praised Vincent AI for refusing to answer questions where it lacked sufficient data rather than giving a hallucinated answer, and recorded that those refusals lowered its scores. A product that accepts a lower benchmark result rather than guess is showing the behavior in question, and the evidence comes from an outside evaluator with nothing to gain from the finding.
The vendor itself does not document an explicit path for declining to answer. The vendor site, the Vincent product pages and the vLex news section, searched on 29 Aug 2026, showed the behavior as observed by others rather than described by the vendor, so it is evidenced but not promised.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
A court record exists in which the product is mentioned and the court’s findings address the filer’s verification failure rather than the product.
Three court records mention vLex as a tool counsel used, and each addresses the lawyer's failure to verify rather than the product's output. In Flycatcher Corp. Ltd. v. Affable Avenue LLC (S.D.N.Y., No. 24 Civ. 9429, opinion and order of 5 February 2026), counsel said he ran some arguments through vLex before using a separate cite checker; the court found he never cite checked the brief himself and struck the filings.
In Brooks and Brooks Inc. v. Patel (Minnesota District Court, Hennepin County, No. 27-CV-24-11194, order of 8 September 2025), counsel admitted failing to confirm a citation through VLex Fastcase and was fined $5,000. In Fletcher v. Experian Information Solutions (5th Cir., No. 25-20086, 18 February 2026), the court named Casetext and vLex among counsel's sources and sanctioned counsel for not verifying. All three name vLex rather than Vincent AI, and none makes a finding about the product's output.
Auto 61/2026 of the High Court of Justice of Galicia (7 July 2026) lists Vincent AI among verified legal AI tools when fining a lawyer, without naming the tool used. The AI Hallucination Cases database maintained by Damien Charlotin was searched on 2 October 2026.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
Searched the vendor site, the Vincent product pages, the vLex news section and the Clio press material on 29 Aug 2026. No engagement with any named ethics opinion or professional guidance was located, including ABA Formal Opinion 512 and state bar guidance. Worth recording as context rather than credit: the company has a substantial bar association presence inherited through Fastcase, which supplied research tools to state bar memberships, so a relationship with bar associations exists without engagement with their AI guidance being published.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The product sits inside a lawyer to client fee relationship and no located public material addresses billing, fee or disclosure treatment, with no savings claim published either.
Searched the vendor site, the Vincent product pages, the vLex news section and the Clio press material on 29 Aug 2026. No per matter record of AI assisted work intended for fee purposes was located, and no guidance on billing, fee or client disclosure treatment was located. Time savings are referenced in general terms, such as workflows turning hours of research into minutes, without a quantified savings claim tied to a matter.
Recorded as not addressed rather than at the savings claims value because the located framing is capability description rather than a savings figure. Noted for a reader: the Clio Operate integration records every interaction in an audit trail, which is the raw material for such a record without being published as one.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The material exists behind a sales conversation or an executed agreement.
A firm can assemble much of what a client AI clause asks for without a bespoke negotiation, though not all of it. Available without an agreement: a published trust center as the route to the official SOC 2 and ISO 27001 reports, dated certifications, a published retention policy with customer control and permanent deletion, a stated position that language model providers are bound by zero retention agreements, and a statement that the legal authority behind the product is owned rather than licensed.
The certification reports sit behind a trust center request or an account representative rather than being published. No subprocessor list, no statement of which model providers see client content, and no consent or notification pack for clients were located.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of the record are available, short of a document level export.
Much of a disclosure record exists, assembled from several published features rather than offered as one. Through the Clio Operate integration every interaction is visible in an audit trail scoped to the matter. Every research output cites primary sources with direct links plus a Cert validity check, so what was relied on and whether it was still good law are both recorded in the work product. A user can see and exclude the sources an answer rests on, which leaves a trace of human intervention.
Two parts are missing. No single export for each document covering the model used, the sources retrieved and human verification was located, and no model is named in published material, so the model used could not be stated.