CoCounsel Legal

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 artificial intelligence is the product. CoCounsel Legal exists only as a generative and agentic layer, rebuilt in 2026 on an agent framework so it plans, reasons and executes multi step legal work. Remove the models and there is no product, only the underlying Westlaw and Practical Law content, which the parent sells separately as its own products.

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.

CORRECTED 29 Aug 2026, second correction to this row. Previously graded B on the finding that no accuracy measurement was published, and carrying a remark that the largest company on the index published less measurement than far smaller vendors. That finding was wrong and the remark was the opposite of the truth. It came from searching only the vendor's own surfaces and not the independent evaluator's. Grounding was already strong and is unchanged: the retrieval method is described rather than asserted, with the research agent identifying key legal concepts, selecting Westlaw tools including KeyCite, the Key Number System and annotated statutes, running multiple search cycles and synthesising a structured result. Output grounds to primary authority the reader can open, with inline citations, a Sources tab carrying direct links and highlighted excerpts, and KeyCite validity flags shown with the authority. A citation level verification feature, Deep Research Verify, is published, prompting guardrails restrict output to human validated content rather than the open internet, and all of it sits under a named published framework. What is now added is measurement, and it is independent. CoCounsel participated in the February 2025 Vals Legal AI Report, a third party benchmark against a measured lawyer baseline, and scored between 73.2 and 89.6 percent across four tasks, each exceeding the lawyer baseline by more than 10 points, with a 79.5 percent average that was the highest of any participating vendor and a top score of 77.2 percent on document summarisation. Those figures sit on the evaluator's own site and the vendor also publishes them on its legal blog, so a buyer can reach them from either direction. The vendor separately publishes CoCounsel Bench, its own evaluation framework, under which experienced attorneys reviewed performance across 50 complex tasks each estimated at six lawyer hours, reporting that the product produced a stronger response than the expert written reference answer on nearly 40 percent of them. Two limits recorded rather than deducted for: the February 2025 study measured task accuracy such as document question answering and summarisation rather than citation validity or hallucination rate specifically, and this vendor did not participate in the later Vals study that measured citation authoritativeness.

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 documented review surfaces, short of the full control structure. The vendor states that its AI is built with human oversight at its core, publishes a Fiduciary-Grade AI framework built around transparency and accountability, and the product is described as showing its plan before executing: it interprets a request, builds a matter specific plan, and returns work product with traceable citations the reader can open and check. Not located as of 29 Aug 2026: the threshold at which an agent stops and returns to a lawyer, and what the vendor commits to when an agent is wrong. The August 2026 shift from structured skills to a fully agentic experience makes the missing threshold more material than it would have been a year ago.

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 customers, dated, with figures and an assessable method. The vendor publishes individual case studies naming Justly Prudent, reporting five times return on investment and a doubling of litigation capacity, and Brinks on reducing outside counsel spend, alongside a commissioned Forrester Total Economic Impact study dated 2026, which is a published methodology an outside reader can assess and whose commissioned status is disclosed on the page. Also publishes aggregate figures with the population stated, including 2,700 corporate customers using the CoCounsel family and a 61 percent reduction in time to draft correspondence. Deeper than anything else on the index so far on this axis.

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.

Substantive published commitments, and unusually the answer is given directly in a published FAQ rather than implied. The vendor states plainly that customer content and prompts are not used to train or improve the product or the underlying models, that third party model partners including OpenAI and Google are contractually prohibited from training on customer data, and that systemic controls turn off those third parties' abuse monitoring so there is no human access to customer data. Also publishes a zero retention API architecture and data residency controls. Two gaps hold this off an A. Attorney client privilege and work product handling is not addressed directly in located material. Matter level segregation is not documented on the vendor's own pages, although the product is matter centric by design.

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.

The claim is made and the documentation is not published. The product is sold squarely to licensed professionals, is distributed to more than 200 law schools and 120,000 law students, and the vendor's framing is that the system works at the level of a senior associate under professional supervision. Searched the product page, the AI hub, the trust center and the legal blog on 29 Aug 2026 and located no published position on the advice line, no treatment of competence and supervision duties, and no statement of jurisdiction limits. The senior associate framing is a capability claim rather than a professional responsibility position, and for a product marketed to students it is the place a position would matter most.

AI Governance and Bias Disclosure

Published governance over model behaviour: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.

A published governance framework with real substance, short of testing results or a named owner. The vendor publishes a named standard it calls Fiduciary-Grade AI with a buying framework attached, describes a dedicated research organisation of more than 1,000 specialists, states a figure for annual responsible AI investment, and answers a direct published question on bias: prompting guardrails restrict output to a clearly defined and limited set of human validated content rather than the open internet. That is a stated mechanism, not a principles page. Not located as of 29 Aug 2026: a named internal owner of model governance, published pre release testing results, or any disclosure of uneven output across matter types, parties or populations. The bias answer describes a content restriction rather than testing for disparate output.

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. SOC 2 Type II and ISO 27001 maintained, ISO 42001 certification referenced for the AI management system, a zero retention API architecture published, data residency controls, 24 hour security monitoring and threat detection, corporate identity management integration, and a corporate trust center carrying the information security framework. Not located as of 29 Aug 2026: a current named subprocessor list for this product, and a stated incident and breach notification practice. The two named model partners are disclosed in the AI FAQ rather than in a maintained subprocessor list, which is the remaining element of the A bar.

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.

Searched the product page, the AI hub, the trust center, the corporate terms of use and the segment plans pages on 29 Aug 2026. No published indemnity scope, liability cap, carve out, warranty on output or insurance position was located for this product. Commercial terms are reached through a negotiated subscription agreement. The Fiduciary-Grade AI framework speaks to accountability as a design principle rather than to who bears the loss when output is wrong, and a fiduciary framing without a published liability position is exactly the shape this axis exists to record.

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 and documented integrations, short of implementer level depth. Named connections span document management with iManage, NetDocuments and SharePoint, Microsoft 365, the parent's own HighQ collaboration platform and Legal Tracker, contract lifecycle through Icertis, plus DeepJudge, Supio and Smokeball, and a Word add in carrying a personal clause library. An MCP integration lets a lawyer reach the product from a separate AI client without switching platforms, which is a genuinely forward integration surface. Not located as of 29 Aug 2026: documentation describing what each integration moves, in which direction, and what an administrator must configure.

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.

Deployment is stated clearly with partial residency detail. The vendor publishes data residency controls that keep information within required geographic boundaries, operates a rollout sequenced by country across the United States, Canada, the United Kingdom and Australia, and holds FedRAMP In Process status for the underlying Westlaw and Practical Law products with stated investment toward authorization for this one. Not located as of 29 Aug 2026: the list of available regions, the tenancy model, what changes between tiers, and where processing happens as distinct from where data is stored.

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 real and stated, short of accessible evidence. SOC 2 Type II and ISO 27001 are stated as maintained, ISO 42001 is referenced for the AI management system, FedRAMP In Process status is published for Westlaw and Practical Law with authorization stated as an investment goal for this product, and a corporate trust center publishes the information security management framework. What is missing is what a reader can actually pull: no attestation report, no coverage period, no audit scope, and no named auditor was located as of 29 Aug 2026, and no route to request the reports without a sales conversation was located either. Certifications are also stated at the parent company level rather than scoped to this product, which is the distinction a buyer's security team asks about.

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 supply chain is partly disclosed and the disclosure is unusually specific. The vendor names Anthropic's Claude Agent SDK as the architecture of the current release, names OpenAI and Google as third party AI partners in a published FAQ, and states the contractual position imposed on them. Not located as of 29 Aug 2026: which model serves which task, where the models run, a maintained subprocessor list for this product, and any commitment to notify customers before the model supply chain changes. That last gap is material here because the product was re architected onto a different vendor's agent framework within the past year.

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.

The shape is visible and the number is not. Tier names and feature splits are published and reachable from the main navigation: CoCounsel Essentials, Westlaw Advantage with CoCounsel Essentials, Practical Law Dynamic Tool Set with CoCounsel Essentials, and CoCounsel Legal, each with its own plans and pricing page and segment specific variants for law firms, corporations and government. Third party analyses report that the pages run a configurator returning a figure for firms up to ten attorneys and route larger firms to a sales quote. The configurator could not be verified directly on 29 Aug 2026 because that subdomain blocks automated access, so no vendor published figure is recorded here and this grade rests on the tier structure being public while the number was not confirmed. The unit of charge is per user per month by third party report rather than vendor statement. Rebuttable in either direction with one screenshot of the configurator.

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.

Who the product serves is documented precisely, across more segments than any other record on this index. Published navigation splits law firms under ten attorneys from firms over ten attorneys, and separately addresses corporations, government including courts, prosecutors, public defenders, city attorneys and law enforcement, and academic use across more than 200 law schools. Practice area coverage is enumerated with its own pages spanning business and commercial, civil litigation, criminal defense, family, labor and employment, mergers and acquisitions and personal injury. The limits are stated structurally rather than in prose: the tier table shows exactly which content each plan reaches, so a buyer can see where coverage stops.