CoCounsel Legal vs Learned Hand: how they compare in 2026
CoCounsel Legal and Learned Hand both put AI in front of court work, though from different directions. CoCounsel Legal, owned by Thomson Reuters, is a research and drafting agent sold to firms, companies and government bodies including courts, while Learned Hand is built only for judges and their staff. CoCounsel Legal sits in the top two bands on twelve of fifteen axes and Learned Hand on six of fifteen, identical on three. CoCounsel's lead is what it publishes around the AI. It grounds answers in Westlaw and Practical Law with KeyCite flags shown beside each authority, names Anthropic's agent framework and its OpenAI and Google partners, and states that customer content trains no model. Learned Hand publishes no terms, security page or model provider. Its counterweight is fit to the bench. It states that judges make the final decisions, analyzes each motion against its procedural standard, and links every statement in a draft order to the case record, with named use at the Michigan Supreme Court.
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.
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.
The models are the product, which is the A band. Everything the vendor describes is model work: facts extracted, disputed issues mapped, arguments structured, analysis run against the procedural standard for the motion type, a first draft order generated with its citations, and every statement and citation checked against its source. The companion product, The Red Pen, is a model reading filed briefs and testing each citation for existence, pinpoint and whether the holding supports the proposition. Take the models away and what remains is an upload screen, a case management connection and an editor with a Word export; there is no conventional document or research product underneath that a court would buy on its own. Verified 18 September 2026.
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.
Grounding is described rather than asserted: the research agent identifies key legal concepts, selects Westlaw tools including KeyCite, the Key Number System and annotated statutes, runs multiple search cycles and synthesises 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. Measurement 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.
Grounding is real and described at the level of the sentence, with no measurement published, which is the B band. The home page states that every citation links to its source, every claim traces to the record, any statement can be clicked through to its source, and every citation is checked against its source automatically; the vendor's own release of 18 March 2026 adds that all outputs are hyperlinked to source material in the case file and that the platform runs multiple verification passes. That is the product checking its own output, and it is credited as such. The Red Pen's citation checks on filed briefs are not credited here: they test other parties' citations, and a tool's purpose is not evidence about its own accuracy. What keeps this off A is everything a reader would use to test the claim. No accuracy figure, test set or evaluation is published, no failure mode is named, the retrieval method and the corpus behind the legal analysis are not described, and nothing states what the system does when it cannot support a proposition. The home page answer to How does Learned Hand prevent hallucinations? is published but does not render to automated retrieval and could not be read on this date. Verified 18 September 2026.
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.
A written position that the judge decides, with real review surfaces, short of a published control structure, which is the B band. The workflow the vendor publishes ends with a human step at each stage: the user reviews the analysis, clicks any statement to see its source, asks questions to refine the analysis, and edits the first draft in the platform or exports it to Word. The vendor's release quotes its chief executive that the product will assist with preparation but that judges make the final decisions. What the A band asks for is not published: no threshold or mode at which the system acts without review, no categorical constraint on what a draft may be used for, and nothing on what happens when an analysis is wrong. The home page answer to What if I disagree with its analysis? could not be read on this date and is the surface most likely to move this row. Verified 18 September 2026.
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.
Named customers without figures, which is the B band. The vendor's release of 18 March 2026 names the Superior Court of Los Angeles County as a partner, carries statements from its Presiding Judge and its Executive Officer, and states that the technology is used by the Michigan Supreme Court and by trial courts in ten states. Those are named deployments at identifiable courts, confirmed in the customer's own words in the Los Angeles case. The estate adds an unattributed testimonial from a federal judge described as a user since 2024 and an unattributed Red Pen testimonial saying the platform takes minutes to do what would take a staff attorney several days. No figure for what changed at any named court is published, the ten states are not identified, and nothing describes how any result was measured. Verified 18 September 2026.
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.
Specific commitments exist for one product and none can be read for the one that holds case files, and no agreement is published, which places this at C. The Red Pen page states that filed briefs are not retained, are not used to train, and that the court's data is never stored, logged or used to train models. Those are real statements, but they describe a citation checker that reads briefs as they are docketed. The main workbench, which syncs a court's cases and holds them, carries no readable confidentiality statement: the home page answer to Is my case data safe? could not be read on this date, and it is the surface most likely to move this row. No terms of service, customer agreement, privacy policy or security page exists on the estate, so nothing on segregation between courts or users, on deliberative confidentiality, or on the position of any model provider can be read before signing. Verified 18 September 2026.
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 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.
A clear position on tool versus decision-maker and a precisely stated audience, short of the supervision dimension, which is the B band. This axis is written for the line between tooling and legal advice; for a product sold only to courts the equivalent question is whether the vendor is clear that the output supports and does not make a judicial decision, and that is how it is graded here. The vendor states it is built for the judiciary and contrasts itself with tools designed for lawyers and private practice, and its release quotes its chief executive that judges make the final decisions. The home page describes the product as decision support. What is missing is the rest of the treatment: nothing addresses a judge's or clerk's duties of competence and supervision when relying on a draft, no court rule or judicial ethics standard on generative AI is named, and no jurisdictional limit is stated beyond a claim that the software is jurisdiction-specific. The home page answer to Does Learned Hand replace me or my clerks? could not be read on this date. Verified 18 September 2026.
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.
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.
An impartiality principle is stated without any mechanism behind it, which is the C band. The vendor says the product is built for impartiality and designed for the bench from the first line of code, and contrasts itself with tools built for advocacy. Nothing published says who inside the company is accountable for model behaviour, what is tested before a release, or what has been found about uneven output across case types or parties, which matters more for a product that drafts judicial orders than for almost any other in the index. No responsible AI page, policy or evaluation exists on the estate. Press reporting says the company tests for bias and accuracy and has not published results; that is recorded as located and not credited, since the index grades what the vendor publishes. Verified 18 September 2026.
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.
One product carries a specific retention position and nothing else in the stewardship set is published, which places this at C. The Red Pen page states zero data retention: filed briefs are not retained, and data is never stored, logged or used to train models. For the workbench, which syncs a court's case management system and holds its cases, no retention period, deletion commitment, access control description, subprocessor list or incident practice was located. No privacy policy, security page or trust centre exists on the estate; the site's own search index lists two pages. The home page answer to Is my case data safe? could not be read on this date and is the surface most likely to move this row. Verified 18 September 2026.
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.
Nothing published on who bears the loss when the system is wrong. Searched the home page, The Red Pen page, the site's own search index, which lists no other pages, and the vendor's release of 18 March 2026, and searched for a published court contract, on 18 September 2026. No terms of service, customer agreement, warranty, indemnity, limitation of liability or insurance statement exists on the estate. Court agreements are reported in the press but none was located in published form. Verified 18 September 2026.
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.
Integration with court case management systems is claimed and described in outcome terms, with no system named and no documentation, which is nearest the C band. The home page says the product integrates with a court's case management system, sync once and the cases are there, and that documents can be uploaded or connected directly from the case management system; The Red Pen page says every filing is checked automatically the moment it is docketed. Drafts can be exported to Word. That describes what the connection does, which is more than a logo, but no case management system is named, nothing states which direction data moves or what a court must configure, and no API or implementation documentation is published. Verified 18 September 2026.
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.
Nothing published on where the software runs or where court data sits. Searched the home page, The Red Pen page, the site's own search index and the vendor's release of 18 March 2026 on 18 September 2026. No tenancy model, hosting provider, region or deployment option is stated anywhere on the estate. The home page answer to Is my case data safe? could not be read on this date. Verified 18 September 2026.
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.
No independent security attestation located. Searched the home page, The Red Pen page, the site's own search index, which lists no security or trust page, and the vendor's release of 18 March 2026, and ran a targeted search for a SOC 2, CJIS or other attestation, on 18 September 2026. None was found on the vendor's estate or attributed to it elsewhere. Verified 18 September 2026.
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.
Nothing published by the vendor about the models underneath. Searched the home page, The Red Pen page, the site's own search index and the vendor's release of 18 March 2026 on 18 September 2026. The estate contrasts the product with generic AI and with ChatGPT but names no model, provider or architecture; the home page answer to How is Learned Hand different from ChatGPT? could not be read on this date. Press reporting attributes to the company the use of models from Anthropic, OpenAI and Google; that is located and not credited, because it is not the vendor's own published material. Verified 18 September 2026.
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.
No pricing information published at any level. Searched the home page, The Red Pen page, the site's own search index, which lists no pricing page, and the vendor's release of 18 March 2026 on 18 September 2026; the only route offered is a demo request. A public sector reseller lists the product on the NASPO ValuePoint and SEWP V contract vehicles without a price, and press reports court contract values; neither is the vendor's own publication and neither is credited. No pricing row is written. Verified 18 September 2026.
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.
The segment is stated precisely and the work is described by motion type, short of the boundaries, which is the B band. The vendor says it serves the judiciary only, naming judges, clerks, staff attorneys and court staff, and positions itself against tools built for lawyers and private practice, which is a stated boundary on segment. The work is described by motion rather than practice area: summary judgment and post-conviction relief on the home page, pro se filings on The Red Pen page, and analysis that follows the procedural standard for the motion and the court's local rules. Its release names the Michigan Supreme Court and says trial courts in ten states use it. What is left open: the ten states are not named, the supported motion types are not listed in full, and nothing says which courts, case types or jurisdictions the product does not handle. Verified 18 September 2026.
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?
A published FAQ answers the question directly and in the negative, stating that user content and prompts are not used to train or improve the product or the underlying models, and that third party AI partners including OpenAI and Google are contractually prohibited from using customer data to train their models. The vendor also states it has established controls to turn off those third parties' abuse monitoring so there is no human access to customer data.
The commitment as located sits on a public FAQ and trust page. No matching term was located in a published customer agreement as of 29 Aug 2026, and the subscription agreement is not published.
A public product page states no training on customer content, and no agreement is published anywhere on the estate. The statement is on The Red Pen page, which says filed briefs are not used to train and that data is never stored, logged or used to train models. It is scoped to The Red Pen; no readable statement covers the workbench that holds a court's cases, whose FAQ answer on data safety could not be read on this date.
The site publishes no terms of service, customer agreement or privacy policy, so a court has no published term to hold the vendor to.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The vendor publishes a direct answer in a product FAQ: retention of user content and prompts is customized to the customer, set at the organization account level with the support of a client manager, and the vendor deletes in accordance with the customer's own retention policy. Users can additionally delete their content and prompts in the product at any time. That is real customer control over the window. Two qualifications keep it below the top value and are worth a buyer's attention: no retention period is published, so the window is whatever the customer negotiates rather than something disclosed in advance, and setting it runs through a client manager rather than an administrator control the customer operates alone.
The separately published zero retention statement covers the model provider API layer rather than the product's own storage.
A fixed retention position of zero is published for The Red Pen only. That page states zero data retention and that data is never stored or logged. The workbench, which the home page says syncs once with a court's case management system so the cases are there, has no published retention period, deletion commitment or customer setting, and its FAQ answer on data safety could not be read on this date. No privacy policy or agreement is published.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Searched the product page, the AI hub, the corporate trust center, the legal blog and the published integration announcements on 29 Aug 2026. Integrations with iManage, NetDocuments and SharePoint are named, and corporate identity management integration is stated, but no vendor material was located addressing whether retrieval enforces source system permissions at query time per user, or how ethical walls and matter level segregation are handled.
A third party review refers to granular roles and ethical walls, which is not vendor material and was not treated as evidence.
Searched the home page, The Red Pen page, the site's own search index and the vendor's release of 18 March 2026 on 18 September 2026. No located material addresses separation between courts, chambers, users or cases, or whether access follows the court's case management permissions after sync.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Searched the product page, the AI hub, the corporate trust center and the corporate terms of use on 29 Aug 2026. No clause addressing government or law enforcement requests for customer data was located for this product, and no transparency report was located. Noted for a future reader: a commitment to inform the customer of third party data access requests, audited under ISO 27701, was located on the trust center for a different Thomson Reuters product line, ONESOURCE Pagero. It was not treated as covering this product and does not support a value here.
Searched the same surfaces on 18 September 2026. No terms, privacy policy or other published document addresses requests from third parties or government for data the vendor holds, or whether the court would be told.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The corpus is named consistently and prominently: output is grounded in Westlaw and Practical Law, both proprietary databases the vendor owns and sells separately, maintained by attorney editors, with the editorial population stated at more than 1,200 full time attorney editors. Vendor material is explicit that the system draws on this content rather than scraping the public internet. The rights basis is ownership rather than a stated license, and no update cadence or lag for the underlying corpus was located as of 29 Aug 2026.
Searched the same surfaces on 18 September 2026. The product performs legal research and analysis and the home page says it is built on local rules and is jurisdiction-specific, but no source of case law, statutes or rules is named and no jurisdiction list is given. The home page answer to How is Learned Hand different from Westlaw or Lexis? could not be read on this date.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Treatment signals come from KeyCite, the vendor's own named commercial citation service, and appear with the authority. Vendor engineering material states that reports carry inline citations, KeyCite flags and excerpts, and that the research agent uses KeyCite warnings to flag questioned or overruled cases and adjusts its strategy accordingly. Separate vendor material describes the system recognizing red and yellow validity flags and factoring them into its analysis rather than only displaying them. First value on this signal in the index that rests on a licensed commercial citator.
Searched the same surfaces on 18 September 2026. Nothing states whether authority the workbench itself cites or relies on is checked for subsequent history. The Red Pen flags reversed holdings and other defects in citations made by parties in filed briefs; that is a check on other people's citations and is not recorded here as treatment of the product's own authority.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Searched the product page, the AI hub, the legal blog, the engineering blog and the trust center on 29 Aug 2026. Vendor material describes transparent research logs, step by step reasoning, an audit trail and prompting guardrails that restrict output to a defined set of validated content. None of that states what the product does when it cannot ground an answer. No explicit no answer or abstention path was located, and no confidence or grounding score exposed to the user was located either.
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 a predecessor brand of this product is mentioned. In Fletcher v. Experian Information Solutions, No. 25-20086, the Fifth Circuit sanctioned appellate counsel $2,500 on 18 Feb 2026 after a reply brief was found to contain 16 fabricated quotations and 5 further misrepresentations of law or fact. The court's findings address counsel's conduct: failure to verify, and evasive and misleading responses to the show cause order, which the court treated as conduct unbecoming under FRAP 46(c).
The products counsel identified as the possible source were named by the court as Casetext and vLex, described as generative AI products. Casetext is the brand Thomson Reuters acquired in 2023 and no longer sells under its own name; this record is filed here because CoCounsel is the surviving product. The court made no finding about either product's own output. Instrument also searched: the AI Hallucination Cases database maintained by Damien Charlotin.
Searched the AI Hallucination Cases database maintained by Damien Charlotin and trade press reporting on 18 September 2026 for court records addressing fabricated or hallucinated legal citations in output from Learned Hand. None located. This signal does not record litigation history of any other kind.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Searched the product page, the AI hub, the legal insights hub, the legal blog and the published Fiduciary-Grade AI material on 29 Aug 2026. The vendor publishes a substantial named framework and a buying guide addressed to professional standards in general terms, and markets a responsible AI position to courts and government. No engagement with any named ethics opinion was located, including ABA Formal Opinion 512 and state bar guidance.
Searched the same surfaces on 18 September 2026. No bar opinion, judicial ethics opinion or court rule on generative AI is named or engaged anywhere on the estate, and professional responsibility is not discussed in general terms either. For a product sold to judges the relevant guidance would be judicial conduct rules and court AI policies; none is referenced.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Vendor material leads with time compression and quantifies it: a 61 percent reduction in time to draft correspondence, a customer story reporting a task that took an hour completed in five minutes or less, and a commissioned return on investment study. Searched the product page, the AI hub, the legal blog and the customer stories on 29 Aug 2026 and located no per matter record of AI assisted work intended for fee purposes, and no published guidance on billing, fee or client disclosure treatment. The savings figures are published without anything on the client's side of the equation.
The product does not touch a fee between a lawyer and a client. It is sold only to courts, for use by judges, clerks, staff attorneys and court staff, and no client bill is in the loop. The time savings it claims, such as minutes instead of a staff attorney's several days, fall on the court's own workload.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A published FAQ names the third party model providers that may process customer content, OpenAI and Google, and states the contractual prohibition imposed on them, which is the substance of a model provider disclosure and is available with no agreement in place. A corporate trust center publishes the information security framework. What was not located as of 29 Aug 2026 is a maintained subprocessor list for this product, and any client facing consent or notification pack a firm could forward to its own client. Recorded at the model provider disclosure level rather than the full pack.
Searched the same surfaces on 18 September 2026. No subprocessor list, model provider statement or forwardable disclosure material is published. The buyer here is a court rather than a firm answering a client's AI clause, but the same artifacts would answer a court's procurement or public records questions, and none exists on the estate.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Several elements of a disclosure record are available and documented. Vendor material states that each research report includes transparent research logs with verifiable citations and step by step reasoning, that sources are hyperlinked with highlighted excerpts in a dedicated tab, and that KeyCite validity flags appear with the authority, which together evidence what was retrieved and its status. Two elements are missing: the model used is not identified per output, since the vendor states the system is model agnostic across multiple providers, and no per document export covering model, sources and human verification together was located as of 29 Aug 2026.
Some elements of a record exist, short of a document-level export. Every statement in the analysis and draft links to its source in the record, and the draft is exported to Word with citations intact, so the sources behind a draft can be shown. Nothing states which model produced a passage, no record of human verification is described, and no disclosure export is offered for a judge who chooses or is required to disclose AI use in an order.
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.
- AI Liability and Recourse
- Ethical Walls and Matter Segregation
- Third Party Request and Subpoena Notice
- Refusal and Uncertainty Behavior
Which one fits
Choose CoCounsel Legal if
- You want research grounded in an editorial database with a citator. CoCounsel Legal grounds output in Westlaw and Practical Law, shows KeyCite validity flags beside each authority, and gives a sources tab with direct links and highlighted excerpts.
- You need the model supply chain named for a procurement review. CoCounsel Legal's current release is built on Anthropic's Claude Agent SDK, its published FAQ names OpenAI and Google as model partners contractually barred from training on customer data, and customer content and prompts are not used to train the product.
- Your organization spans law firm, corporate, government and academic users. CoCounsel Legal publishes separate plans for firms under and over ten attorneys, corporations, government bodies including courts and prosecutors, and more than 200 law schools, with practice pages from civil litigation to family law.
Choose Learned Hand if
- You are a judge or clerk preparing motions. Learned Hand extracts the facts, maps the disputed issues, structures each side's arguments and analyzes them against the procedural standard for the motion type, then drafts an order whose statements link to the case record.
- You want the tool's role stated plainly. Learned Hand describes itself as decision support built only for the judiciary, and its chief executive is quoted that the product assists with preparation while judges make the final decisions.
- You want named court deployments. Learned Hand states use by the Michigan Supreme Court and trial courts in ten states, and the Superior Court of Los Angeles County began a pilot in 2026 with statements from its presiding judge and executive officer.
In summary
CoCounsel Legal
CoCounsel Legal is Thomson Reuters' legal AI product, grounded in Westlaw and Practical Law, rebuilt in 2026 as an agentic experience on Anthropic's Claude Agent SDK in which a lawyer describes a matter and the system plans, researches, reasons and drafts with citations. It is sold in tiers bundled with Westlaw and Practical Law to law firms, corporations, government bodies and law schools. The AI Legal Index grades it in the top two bands on twelve of fifteen capability axes, with A grades on AI centrality, citation accuracy, outcome evidence and coverage. It shows KeyCite flags with authorities and states that customer content trains no model. As of 29 August 2026 the index located no published liability terms or advice line.
Learned Hand
Learned Hand, from Learned Hand, Inc. of New York, is a case preparation platform built for judges, law clerks, staff attorneys and court staff. A court uploads a case or connects its case management system, and the software extracts facts, maps disputed issues, analyzes the parties' arguments against the procedural standard for the motion and drafts an order whose statements link to the record; a companion product, The Red Pen, reviews citations in filed briefs. The AI Legal Index grades it in the top two bands on six of fifteen capability axes, with an A on AI centrality. It names the Michigan Supreme Court among users. As of 18 September 2026 the index located no published terms, security attestation, model provider or price.
Questions buyers ask
CoCounsel Legal vs Learned Hand: which is better for a court?
Learned Hand is built only for the judiciary, from motion analysis to draft orders linked to the record, and names the Michigan Supreme Court among users. CoCounsel Legal serves courts within a wider government offering and publishes far more on security, data handling and its models. On the AI Legal Index CoCounsel Legal sits in the top two bands on twelve of fifteen capability axes and Learned Hand on six of fifteen.
Who owns CoCounsel Legal?
Thomson Reuters. CoCounsel Legal is its flagship legal AI product, grounded in Westlaw and Practical Law content and sold in tiers bundled with those products rather than standalone. It sits in a wider CoCounsel family alongside CoCounsel Essentials, CoCounsel Tax and CoCounsel Audit. Learned Hand names no parent company on its own materials. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 26, 2026. No vendor pays for placement.
Does Learned Hand decide cases?
No, by its own account. Learned Hand describes itself as decision support built for the judiciary, and its release of 18 March 2026 quotes its chief executive that the product assists with preparation while judges make the final decisions. A judge or clerk reviews the analysis, clicks through to sources and edits the draft order, which can be exported to Word. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 26, 2026. No vendor pays for placement.
Do CoCounsel Legal and Learned Hand train AI on court or client data?
CoCounsel Legal's published FAQ states that user content and prompts are not used to train the product or its underlying models, and that OpenAI and Google are contractually barred from training on customer data. Learned Hand's statement that data is never used to train models appears on its Red Pen page, and no readable statement covers its main case workbench. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 26, 2026. No vendor pays for placement.
What do CoCounsel Legal and Learned Hand both leave unpublished?
Who bears the loss when the AI is wrong. Neither publishes a liability position, warranty or indemnity for its output, and neither names a court rule or ethics opinion on generative AI. Neither identifies which model produced a given passage in its output, and neither documents how its AI respects permissions between matters or cases. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 26, 2026. No vendor pays for placement.
Three readings to weigh. The refusal and uncertainty behavior signal has not been recorded for Learned Hand; that is a gap in the record, not a finding about the vendor. Several of Learned Hand's FAQ answers, including one on data safety, could not be read, and it publishes no terms or privacy policy, so its low grades record what could be reached. CoCounsel Legal's training commitment sits on a public FAQ rather than a published agreement. CoCounsel Legal was verified on 29 August 2026 and Learned Hand on 18 September 2026. Neither vendor reviewed this page.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything above comes from public material on the dates shown. How the index grades.