Darrow vs Pattern Data: how they compare in 2026

D
Darrow profile
P
Pattern Data profile
Last verifiedSeptember 27, 2026

Darrow and Pattern Data both sell AI to mass tort and class action practices, and are rarely weighed together because they work at opposite ends of a case. Darrow finds where litigation is forming, from regulatory filings, incident reports and market signals, while Pattern Data evaluates claimants once a mass tort exists and carries them to settlement. Pattern Data sits in the top two bands on six of fifteen axes and Darrow on five of fifteen, identical on four. Darrow's lead is evidence and naming. It shows about thirty customer firms by name, including Milberg and Baron and Budd, and its terms name Anthropic and OpenAI as its AI providers. The same terms grant it a perpetual license over customer data, including to train foundation models. Pattern Data's lead is oversight and fit: eligible claims are decided automatically, outliers go to a person, and it integrates with Litify. Neither publishes an independent security report.

At a glance

Category
DarrowPlaintiff & Claims AI
Pattern DataPlaintiff & Claims AI
Founded
DarrowNot published
Pattern DataNot published
Headquarters
DarrowNew York, New York, United States
Pattern DataCharlotte, North Carolina, United States
Last verified
DarrowSep 4, 2026
Pattern DataSep 6, 2026

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.

Darrow
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.

The models are the product and the agreement says so in terms. Section 8.3 states that the AI features are mandatory and integrated by default, and that a customer who does not accept the AI service providers' terms has no remedy other than to stop using the service. The published architecture is four layers of model work: ingesting raw signals at scale, interpreting them through legal context, reasoning across the result to prioritize and orchestrate action autonomously, and surfacing it to the teams responsible. Published throughput of more than 5 million signals detected monthly is not a volume a non-model system reaches. Remove the models and there is no product. Checked 4 September 2026.

Pattern Data
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.

The machine learning is the mechanism the buyer pays for. The product reads records, extracts exposure, injury and treatment data, scores every claimant against litigation criteria and auto-adjudicates eligible claims; remove the models and there is a docket spreadsheet. The company has sold nothing else since its founding and its litigation-specific models are the product it names. FAQ, platform page and home page read 6 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.

Darrow
CC on Citation Accuracy and Hallucination DisclosureAccuracy is asserted without measurement, or grounding is claimed while output cites sources the reader cannot open and verify.

Grounding is asserted without a mechanism a reader can inspect. The knowledge base is described in principle, connecting the laws that create obligations, the organisational weaknesses that emerge when they are not met, and the enforcement actions that follow, and the inputs are described by category as regulatory filings, incident reports, litigation patterns and market activity. Nothing describes how an output traces back to the signal that produced it: no citation, no source link, no retrieval method. Hallucination is addressed, but only as a disclaimer: section 8.3 records that generative AI involves uncertainties as to quality and accuracy and that the company has no control over output, and the trial terms disclaim liability for any undetected, misdetected or mischaracterised events, signals, risks or cases. No accuracy figure is published, no test set is described, and section 12.1 expressly disclaims any warranty of accuracy. The Research and Domain Coverage pages were not opened in this pass and are named here so the limit is visible.

Pattern Data
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

Grounding is real and documented with sourcing, short of a first-party accuracy figure. The FAQ states the platform uses a retrieval-augmented generation approach over language models and that case reviewers validate AI-aggregated findings, the platform page states clear sourcing and human validation at every step and that every result can stand up to review, audit or settlement; a third-party review's ninety-eight percent accuracy figure is not credited. No first-party accuracy figure, test set or evaluation is published, and the primary-authority limbs do not apply to a record reader. FAQ, platform page and home page read 6 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.

Darrow
CC on Autonomy and Oversight ModelAutonomy is claimed and oversight is asserted without a mechanism. Human in the loop appears as a phrase rather than a described control.

Autonomy is claimed in plain terms and oversight is asserted without a mechanism. The published description of the agentic layer says advanced AI systems reason across the intelligence, identifying emerging opportunities, prioritizing signals and orchestrating action autonomously, and the product is framed as an always-on legal red team. Against that, the only oversight statements are contractual disclaimers: section 8.3 provides that the customer is responsible for evaluating the results of its use of the AI features and that the service is not a substitute for legal advice, legal research and independent review. Nothing published describes what the system does unattended against what a person approves, no threshold is stated at which it escalates or stops, no review surface inside the portal is described, and nothing addresses what happens when a signal is wrong. Searched the home page and the terms of use on 4 September 2026; the platform, law firms and FAQ pages were not opened.

Pattern Data
AA on Autonomy and Oversight ModelWhat the system runs alone, what constrains it, and how a lawyer checks it are all published: modes, thresholds, review surfaces, and the route a matter takes back to human judgment. A categorical limit on a named mode or tier, stating what its output may not be used for, meets the threshold limb without a number.

What runs alone, what a person must approve, and the threshold between them are published. Modes: the FAQ states that eligible claims are auto-adjudicated by the proprietary AI while complex or outlier cases are flagged for human review, and that case reviewers validate AI-aggregated findings; the home page states that every extraction, classification and score is built to support the team's review rather than bypass it. Threshold: eligibility and allocation logic set by the settlement criteria, recalculated when criteria change. Review surface: validated data, record status and what each case needs next, with sourcing on every result. Route back: flagged outliers go to a person. Nothing states a confidence level below which auto-adjudication is withheld beyond the criteria themselves. FAQ, platform page and home page read 6 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.

Darrow
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

Substantial deployment evidence, with the names and the numbers on opposite sides of the page. Roughly thirty customer organizations are shown by name, and they are serious ones in this market: Baron and Budd, Milberg, Girard Sharp, Bernstein Litowitz Berger and Grossmann, Zuckerman Spaeder, Singleton Schreiber, Kahn Swick and Foti, Lynch Carpenter, Bailey and Glasser, Nichols Kaster, Loevy and Loevy, Wolf Haldenstein, Stephan Zouras, Schneider Wallace, Freed Kanner, Kozyak Tropin and Throckmorton and Consovoy McCarthy, alongside Microsoft and Armis on the corporate side. Figures are published at corporate level: more than 22 billion dollars in legal exposure surfaced, over 80 organizations, more than 5 million signals detected monthly, over 22,000 legal professionals and more than 10,000 active matters. What is missing is the join between them. No figure is attached to any named firm, no case study is published, nothing is dated, and there is no testimonial from a named individual anywhere on the surfaces read.

Pattern Data
CC on Operational and Outcome EvidenceCustomer logos and unattributed testimonials stand in for evidence, or results are quoted with no basis stated.

Scale claims, unattributed figures and unnamed court appointments stand in for named deployments with figures. The FAQ states more than thirty litigations and 1.4 million cases on the platform, court-appointed roles in major settlement programs, settlement submissions in one day rather than fifteen and review costs cut by up to five times, none attributed to a named firm or program; home-page testimonials are unnamed; the chief executive's conference biography names the 3M Combat Arms Earplug and Philips CPAP litigations as deployments without figures. FAQ, home page and conference biography read 6 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.

Darrow
DD on Privilege and Confidentiality PostureNothing published on how client confidences are handled by a product built to ingest them.

Nothing published addresses how client confidences are handled, and the terms that do exist run the other way. The confidentiality regime at section 11 defines Confidential Information as non-public business, product, technology and marketing information, and does not bring Customer Data within that definition, so the mutual confidentiality obligations do not by their terms reach what a customer puts into the service. Section 5.1 grants the company and its sub-processors an irrevocable, perpetual, sub-licensable license over Customer Data that expressly extends to training foundation models. Section 11.3 reserves a broad right to access, read, preserve and disclose any information obtained in connection with the service. Nothing addresses privilege or work product, nothing addresses segregation between customers or matters, and no retention period exists. What does exist is recorded for completeness: section 7.3 commits to reasonable industry-standard technical and organisational security measures to protect Customer Data, which is a security promise rather than a confidentiality one. Section 5.2 separately prohibits the customer from submitting protected health information.

Pattern Data
CC on Privilege and Confidentiality PostureConfidentiality is asserted in general terms, or the commitment lives only in a sales conversation and cannot be read in advance.

Confidentiality is addressed at the level of general assurance. The FAQ states TLS encryption, HIPAA-compliant environments for protected health data, multi-factor authentication, stringent access controls and staff training; no customer agreement is published, so nothing binds a training position, and no statement on training use, retention, deletion, matter or docket segregation, third-party model providers, or privilege and work product was located. FAQ and platform page read 6 September 2026; the security page was not opened and is the rebuttal route.

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.

Darrow
CC on UPL and Professional Responsibility PostureA boilerplate disclaimer sits in the terms while the marketing describes the product in advice terms, or the intended audience is left ambiguous.

A disclaimer exists inside the terms and the product surfaces do not address the question. Section 8.3 states that the customer acknowledges the service is not a substitute for legal advice, legal research and independent review, and the trial terms go further, adding that it is not a substitute for audit, assessment or any medical, legal or regulatory conclusion and that the customer is solely responsible for obtaining necessary legal, medical, scientific or regulatory advice and for its own due diligence. Both sit inside AI-features and warranty clauses rather than in a dedicated position. Nothing on the home page or the segment pages addresses the question at all. No competence or supervision language appears, no rule of professional conduct is named, and jurisdiction is handled by disclaimer rather than by limit, with section 12.1 disclaiming any guarantee that output is suitable for the customer's jurisdiction. The product recommends which matters a firm should pursue, which makes the absence of a supervision position more material than the disclaimer acknowledges.

Pattern Data
CC on UPL and Professional Responsibility PostureA boilerplate disclaimer sits in the terms while the marketing describes the product in advice terms, or the intended audience is left ambiguous.

No advice line or supervision statement was located. The product is sold to law firms and to court-appointed administrators, and the home page states the AI amplifies rather than replaces human judgment, which is a design statement rather than a position on where the lawyer's responsibility sits; no surface read states that outputs are not legal advice or how the product supports a supervising lawyer's duties, and no customer agreement exists to carry such a statement. Home page, FAQ and platform page read 6 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.

Darrow
DD on AI Governance and Bias DisclosureNo governance position published for a system whose output affects legal outcomes.

No governance position is published for a system that decides which potential claims a firm sees. There is no responsible AI statement, no governance framework, no named owner accountable for model behavior, no description of pre-release evaluation, no published testing results, and nothing on bias, which matters unusually here because the system prioritizes signals and therefore determines which exposures surface and which do not. The company describes itself as an AI lab and publishes a Research page, which was not opened in this pass and is named here rather than credited, since a page title is not evidence of its contents. The agreement moves in the opposite direction, recording at section 8.3 that the company has no control over the output of the AI features. Searched the home page and the terms of use on 4 September 2026.

Pattern Data
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

A design principle without a governance framework, testing regime or accountable owner. The home page states that the AI does not replace human judgment and that every output supports review, and the FAQ describes human-in-the-loop validation; no responsible AI framework, ISO 42001 or equivalent, pre-release testing results or statement about uneven output across litigations or record types is published on the surfaces read. Home page and FAQ read 6 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.

Darrow
CC on AI Safety and Data StewardshipA generic privacy policy covers the product without addressing what happens to documents and prompts after processing.

A generic security clause covers the product without addressing what happens to customer content after processing. Section 7.3 commits to reasonable industry-standard technical and organisational security measures during the subscription term, with no control named: no encryption standard, no access model, no logging, no testing cadence. There is no security page anywhere in the site navigation or footer, which is itself unusual at this customer tier. Retention is not addressed at all and section 10.4 provides only that after termination the company may delete Customer Data, which is permissive and sits against the perpetual license granted at section 5.1. Sub-processors are acknowledged to exist at section 8.1 and none is named. No incident or breach notification practice was located. The privacy policy is incorporated by reference at section 7.1 and was not opened in this pass; section 7.1 is headed Privacy Policy and DPA but no data processing agreement is linked or published.

Pattern Data
CC on AI Safety and Data StewardshipA generic privacy policy covers the product without addressing what happens to documents and prompts after processing.

Some of the ground is covered. Access control: TLS in transit, HIPAA-compliant storage for protected health data, multi-factor authentication, stringent access controls and continuous staff training, with adherence to SOC 2 and regular audits stated. Not located: a retention period, a deletion commitment, a sub-processor list or an incident-notification practice; no customer agreement is published and the security and privacy pages were not opened and are the rebuttal route. FAQ read 6 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.

Darrow
BB on AI Liability and RecourseA real published position on liability, short of the full picture: commonly a stated indemnity without scope or caps.

A real published position, short of the full picture. Section 14.1 gives a company indemnity, narrow but genuine, covering third-party claims that the grant of the right to use the service infringes a valid United States patent, with five named exclusions and remedies at section 6.4, and the agreement states expressly that these are the sole and entire liability and exclusive remedy for intellectual property infringement. Section 13 caps aggregate liability at fees paid in the preceding twelve months, dropping to 50 US dollars for trial and pre-released services under section 2.3 and for the drug and device intelligence trial. What is absent is any warranty a buyer could invoke: section 12.1 disclaims accuracy, completeness, availability and security outright, section 8.3 states the company shall not be liable for the performance of the AI features and does not guarantee the accuracy or reliability of any output, and the trial terms disclaim liability for undetected or mischaracterised signals, risks or cases. No insurance position was located.

Pattern Data
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

No liability position is published. The site's page inventory, taken from the navigation and footer on 6 September 2026, carries Privacy, Security, Careers and an AI-search page and no terms of service or customer agreement; the FAQ describes pricing as tailored per firm, which places the agreement in a negotiated document the vendor does not publish. This is an absence on the vendor's surfaces rather than a retrieval limit. FAQ and footer read 6 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.

Darrow
DD on Practice Systems Integration DepthNo integration into practice systems located, or the product stands alone and requires work to move to it.

No integration into practice systems was located. Section 8.4 of the agreement refers to integration with certain third-party applications as set forth in the company's documentation or within the service, and then spends the rest of the clause disclaiming responsibility for them, without naming a single one. No case management system, document management system, intake platform or CRM appears anywhere on the surfaces read, and there is no integrations page or developer documentation in the navigation or footer. This matters for the buyer segment named first on the site, since a plaintiff firm receiving case signals needs them to land in an intake or matter system. The Platform and Law Firms pages were not opened in this pass and are named here so the limit is visible. Checked 4 September 2026.

Pattern Data
BB on Practice Systems Integration DepthReal integrations exist and are documented, short of depth: named connections without a description of what they actually move.

Real integrations with depth described for one. The navigation carries an Integrations page and a dedicated Litify page, the FAQ states an open API with customizable scripts for automated actions, bulk imports from cloud storage systems and drag-and-drop upload, and the FAQ describes integration with existing case management systems; the platform page states that settlement packets are generated in the formats claims administrators require. The Integrations and Litify pages were not opened, so what syncs with Litify and in which direction is not recorded. FAQ, navigation and platform page read 6 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.

Darrow
DD on Deployment Model and Data ResidencyNothing published on where the software runs or where client data sits.

Nothing is published about where the software runs or where customer content sits. No region, country, hosting provider or data center is named on any surface, and no tenancy model is described: nothing states whether the platform is single or multi-tenant or how one customer's data is separated from another's. The agreement says only, at section 8.1, that the service is hosted and made available by certain sub-processors, none of them named. No deployment option, private tier or residency commitment of any kind is offered. The one geographic signal is indirect, in the export control clause at section 15.1 referring to Israeli, United States or foreign export controls. Searched the home page, the terms of use, the site navigation and the footer on 4 September 2026.

Pattern Data
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

Cloud delivery is stated and neither tenancy nor region is addressed. The FAQ states storage of protected health data in secure HIPAA-compliant environments and bulk import from cloud storage, and no hosting provider, region, residency option or tenancy model is named on the surfaces read; the security page was not opened and is the rebuttal route. FAQ read 6 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.

Darrow
DD on Security Certifications and Trust CenterNo independent security attestation located.

No independent security attestation was located. No SOC 2, ISO 27001, HIPAA or any other framework is claimed anywhere, no auditor or certifying body is named, no report is offered at any access tier, and no penetration testing is mentioned. There is no security page and no trust center: the site navigation carries Law Firms, Insurance, Compliance, Research and a Company menu, and the footer carries only a cookie policy, a privacy policy and the terms of use. The agreement offers section 7.3 alone, promising reasonable industry-standard measures without naming a standard. There are no unsupported badges on display either, which is why this sits at the floor on absence rather than on overclaiming. Checked home page, terms of use, site navigation and footer on 4 September 2026.

Pattern Data
CC on Security Certifications and Trust CenterBadges appear on the site with no scope, no date, and no report available.

A standard is referred to without an attestation on the surfaces read. The FAQ states adherence to SOC 2 compliance and regular comprehensive security audits and full HIPAA compliance, which is a compliance claim rather than a statement that a SOC 2 report has been issued; no report type, auditor, coverage period or route to a report is stated, and the Security page in the footer was not opened and is the rebuttal route to B. FAQ read 6 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.

Darrow
BB on Model Supply Chain DisclosureThe supply chain is partly disclosed: providers named without change notification, or architecture described without the providers.

Partial disclosure, with the providers named and change notification expressly refused. Section 8.3 identifies the AI service providers as third parties including Anthropic Claude and OpenAI, both rendered with spelling errors in the published text, and makes clear that the AI features are mandatory and integrated by default. That is more than most records in this corpus publish, and it appears in the agreement rather than in marketing. The same clause then removes the second limb: the company reserves the right to use different AI service providers at any time without providing prior notice, and a customer who objects to a current or future provider has no remedy but to stop using the service. The word including leaves the list non-exhaustive. No specific model or version is named, no location is given for inference, and no subprocessor list is published, with section 8.1 acknowledging sub-processors without identifying any.

Pattern Data
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

The vendor describes its architecture without identifying what sits underneath. The FAQ states a retrieval-augmented generation approach and large language models, and the litigation pages describe models tailored to specific litigations; no provider, model, inference location or change-notification commitment is named on the surfaces read. The security page is the rebuttal route. FAQ and platform page read 6 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.

Darrow
DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.

No pricing information is published at any level, including the unit of charge. There is no pricing page in the navigation or the footer, no tier names, no feature split, no indication of whether charging is per user, per matter, per signal or per case, and no free trial or self-serve route. Every call to action resolves to requesting a demo, talking to the team or booking time. What the agreement reveals is the shape of the arrangement rather than its price: fees are set in an Order Form, stated in US dollars, payable annually in advance, non-cancelable and non-refundable, with automatic renewal unless canceled 30 days before expiry and overage fees for excessive use. A banner stating that 78 percent of production is already reserved suggests a capacity-constrained commercial model, which makes the absence of any published unit more significant rather than less. No VendorPricing row is written.

Pattern Data
BB on Commercial TransparencyReal pricing is published for part of the range, with enterprise tiers withheld, or the unit and structure are stated without the figure.

The unit and structure are stated without the figure. The FAQ describes a transactional pricing model with fees based on case volume and the specific services used, naming case analysis, settlement award allocation and settlement packet generation as priced services, tailored per firm to caseload and budget, and claims review fees cut by up to five times against manual review; no figure, rate card or pricing page is published. FAQ read 6 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.

Darrow
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

Segment coverage is described with substance across three distinct buyers and the boundaries are left open. Each segment carries its own page and its own stated job: law firms identifying emerging litigation earlier and building case portfolios, insurers detecting exposure and pricing risk, and corporate compliance teams surfacing exposure across their external digital footprint. That is an unusually clear statement of who the product is for. Practice breadth is quantified as more than 50 legal exposure categories covered, and a Domain Coverage page exists in the footer, which was not opened in this pass. The named customer set corroborates the primary segment, being overwhelmingly plaintiff and class action firms. What is missing is the edge: no individual practice area is named on the surfaces read, no firm size is addressed, no jurisdiction of coverage is stated, and nothing says which exposure types or industries fall outside the system.

Pattern Data
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

Segment and coverage are described with substance and the boundary is the product's stated scope. Buyers are plaintiff firms, defense firms, settlement administrators and special masters; the litigation pages name Roundup, AFFF and PFAS, Camp Lejeune, Depo-Provera, hair relaxer, GLP-1, Paraquat, social media, talc and Zantac, with more than thirty litigations supported; the vendor states the platform is purpose-built for mass tort and multidistrict litigation, which is the limit. No jurisdiction outside the United States is addressed. Navigation, FAQ and platform page read 6 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?

Darrow
Permitted, in the contract

The permission is express, sits in the agreement, and is the broadest located in this corpus. Section 5.1 has the customer grant the company and its sub-processors an irrevocable, perpetual, non-exclusive, worldwide, royalty-free, fully paid, sub-licensable right and license to access, use, process, copy, download, store, distribute, create derivative works and display Customer Data, for the purpose of maintaining and developing the service, with training foundation models named inside that purpose.

The license is irrevocable and perpetual on its own words, so it does not end when the subscription does. Section 6.1 reinforces the direction of travel by vesting in the company any improvements and developments created as a result of processing Customer Data. No opt-out, no de-identification requirement and no carve-out for sensitive matters appears anywhere. The identical clause appears in all three agreements published on the terms page.

Pattern Data
No agreement published

No customer agreement is published and no training statement was located. The site's page inventory on 6 September 2026 carries Privacy, Security, Careers and an AI-search page and no terms of service; the FAQ addresses encryption, HIPAA environments, access control and audits without stating whether customer records train any model, and the litigation pages describe models tailored per litigation without saying on what. The privacy and security pages were not opened and are the rebuttal route. Surfaces checked 6 September 2026.

Prompt and Output Retention

How long does the product keep what a lawyer typed, and can that be set to zero?

Darrow
Disclosed without a period

Retention is touched in the agreement and no period is stated. Section 10.4 places the export obligation on the customer before termination and then provides that following termination the company may delete Customer Data without retaining any copy, which is permissive rather than a commitment and gives no window. No retention period applies during the subscription term, no deletion request route is described, and no certification of deletion is offered.

The position sits against section 5.1, which grants an irrevocable and perpetual license over the same Customer Data, so a deletion that is optional after termination coexists with a license that by its terms does not expire. Searched the home page, the terms of use and the site footer on 4 September 2026; the privacy policy was not opened.

Pattern Data
Not addressed

No located public material addresses how long records, extractions or settlement data are retained. The FAQ addresses storage security without a period, no customer agreement is published, and the privacy and security pages were not opened and are the rebuttal route. Surfaces checked 6 September 2026.

Ethical Walls and Matter Segregation

Does retrieval respect the firm’s ethical walls, or can the model read across them?

Darrow
Not addressed

No located public material addresses walls or matter level segregation. Nothing states whether the platform is single or multi-tenant, how one customer's data is separated from another's, or how access is controlled within a customer account, and no role or permission model is described anywhere. The agreement's only adjacent provisions are account security obligations placed on the customer at section 03 and a general security promise at section 7.3.

The question has a particular edge here because the named customers are plaintiff and class action firms that compete for the same matters, and the product allocates case signals among them, but nothing published addresses it. Searched the home page, the terms of use, the site navigation and the footer on 4 September 2026.

Pattern Data
Claimed, not documented

Segregation is claimed without documentation of a permission model. The FAQ states multi-factor authentication and stringent access controls, and the platform holds each firm's docket as one live inventory; nothing describes how one firm's docket is walled from another's, how a court-appointed administrator's view is separated from the firms whose claimants it adjudicates, or how the models respect those boundaries. Surfaces checked 6 September 2026.

Third Party Request and Subpoena Notice

If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?

Darrow
Disclosure addressed, notice absent

Two clauses bear on this and the one reaching customer content commits no notice. Section 11.3 reserves to the company the right to access, read, preserve and disclose any information it obtains in connection with the service as it reasonably believes necessary to satisfy any applicable law, regulation, legal process, subpoena or governmental request, with no notice obligation attached. Section 11.2(iv) does commit to best efforts to give prompt notice of compelled disclosure, but it runs to Confidential Information, which section 11.1 defines as non-public business, product, technology and marketing information and which does not by its terms include Customer Data.

So the clause that clearly reaches what a customer puts into the service is the one without notice. Both are recorded here rather than resolved in the vendor's favor. No transparency report was located.

Pattern Data
Not addressed

No located public material addresses whether the customer is told when its data is demanded by a third party. No customer agreement is published, and the privacy page was not opened and is the rebuttal route. Surfaces checked 6 September 2026.

Primary Law Corpus Provenance

Where does the law in this product come from, and does the vendor have the right to use it?

Darrow
Not addressed

Input categories are described and no corpus is identified. The published material says signals are ingested from regulatory filings, incident reports, litigation patterns and market activity, and that a structured knowledge base connects the laws creating obligations, the organisational weaknesses that emerge, and the enforcement actions that follow. That describes what kind of material is used without naming any database, publisher, register or docket source, stating any jurisdiction of coverage, or addressing the rights basis on which any of it is held.

Section 8.3 refers to reliance on various third-party data sources without identifying them. A Research page and a Domain Coverage page exist and were not opened in this pass; they are named so the limit is visible rather than presented as settled. Searched on 4 September 2026.

Pattern Data
Not addressed

No located public material identifies a legal corpus behind the product's output, and the product is not built on one: it extracts facts from the customer's claimants' records and scores them against litigation and settlement criteria the firm or administrator supplies, citing no law. FAQ and platform page checked 6 September 2026.

Good Law Verification

Does the product tell you when the authority it just cited has been overruled?

Darrow
Not addressed

Nothing on any located surface addresses whether authority is checked for subsequent history. The product does not retrieve or present primary law as its output: it surfaces signals of emerging legal exposure drawn from filings, incident data and litigation patterns. The question bites only weakly on this product class, and the honest value is the absence rather than a penalty. Searched the home page, the terms of use and the site navigation on 4 September 2026.

Pattern Data
Not addressed

No located public material addresses whether authority is checked for subsequent history, and the product does not retrieve or cite primary law; its output is case scores, valuations and settlement packets. Recorded as the honest value for a product without a citator function. Surfaces checked 6 September 2026.

Refusal and Uncertainty Behavior

What does the product do when the answer is not in the corpus?

Darrow
Not addressed

No located public material describes what the product does when it cannot ground an output. The agreement acknowledges uncertainty extensively but only as allocation of risk: section 8.3 records that generative AI involves uncertainties as to content quality and accuracy and that the company has no control over the output, and the trial terms disclaim liability for undetected, misdetected or mischaracterised events, signals, risks or cases.

None of that describes system behavior. No abstention path, no no-answer state and no confidence or grounding score surfaced to the user is described anywhere, which is notable on a product whose stated function is prioritizing signals. Searched the home page and the terms of use on 4 September 2026.

Pattern Data
Documented

An explicit path for cases the model does not decide is described: the FAQ states that eligible claims are auto-adjudicated while complex or outlier cases are flagged for human review, and that the platform flags missing documentation rather than filling gaps. The behavior is described rather than demonstrated, and the criteria that make a case an outlier are not stated. FAQ checked 6 September 2026.

Fabricated Citation Record

Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?

Darrow
None located

The AI Hallucination Cases database maintained by Damien Charlotin was searched on 4 September 2026 on both the product name Darrow and the corporate name Darrow AI. No court order, opinion or disciplinary record naming the product was located. This records the state of the public record on that date and is not a finding about the product.

Pattern Data
None located

No court order, opinion or disciplinary record naming Pattern Data was located as of 6 September 2026. The AI Hallucination Cases database maintained by Damien Charlotin was searched on the name together with a general search for court findings on mass-tort settlement administration; results returned directory entries, job listings and sanctions involving general-purpose chatbots, none of which names this product. This is a statement about the public record, not a finding about the product; a tool whose outputs feed court-supervised settlement adjudication carries exposure on fabricated facts rather than citations, and the check is worth repeating at re-verification.

Bar Guidance Alignment

Has the vendor engaged in public with the ethics opinions its buyers are bound by?

Darrow
Not addressed

No located public material engages with bar or ethics guidance. No bar association, regulator, rule of professional conduct or ethics opinion is named anywhere in the terms of use, on the home page or in the segment pages. The nearest provisions are the disclaimers at section 8.3 and in the trial warranty clause stating the service is not a substitute for legal advice, legal research and independent review, which disclaim a role rather than engage published guidance.

The gap is worth noting because case identification and client development are the areas of practice most closely governed by solicitation and referral rules, and nothing addresses them. Searched on 4 September 2026.

Pattern Data
Not addressed

No located public material names an ethics opinion, bar rule or professional responsibility framework. The vendor's material addresses court-appointed adjudication and settlement compliance, which are procedural, and no guidance from any bar or regulator on lawyers' use of AI is named on the surfaces read. FAQ and platform page checked 6 September 2026.

Billing and Fee Posture

Does the vendor address what happens to the bill when the work takes an hour instead of six?

Darrow
Outside the fee relationship

No located public material addresses billing or fee disclosure. The published figures describe exposure surfaced and signals detected rather than time or cost saved, so there is not even a savings claim on the record. Nothing addresses how work originated through the platform should be billed or disclosed to a client, and nothing describes a per-matter record of AI-assisted work. The question has a distinctive shape here, since the product supplies case opportunities to contingency-fee firms rather than compressing billable work, but nothing published engages it in either form. Searched the home page, the terms of use and the site navigation on 4 September 2026.

Pattern Data
Savings claims only

Law firms are the primary buyer and the published position on the bill is a savings claim: case review fees cut by up to five times, settlement submissions in one day rather than fifteen. Nothing addresses how AI-assisted review is recorded or disclosed on a client's bill or in a contingency settlement, or how a court-appointed administrator's AI adjudication cost is allocated. FAQ checked 6 September 2026.

Outside Counsel Guideline Readiness

Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?

Darrow
Subprocessors listed

The model providers are named in a published document, which is what this value turns on, and nothing beyond that exists. Section 8.3 of the terms of use identifies the AI service providers as third parties including Anthropic Claude and OpenAI, so a firm can name who is behind the AI without asking. Three shortfalls are recorded rather than smoothed over: the word including leaves the list non-exhaustive, the same clause reserves the right to change providers at any time without prior notice so the disclosure cannot be relied on as current, and section 8.1 acknowledges sub-processors generally without naming any.

Nothing addresses a client's consent or notification requirement, no forwardable client-facing pack exists, and although section 7.1 is headed Privacy Policy and DPA, no data processing agreement is linked or published anywhere on the site.

Pattern Data
Not addressed

No sub-processor list, model provider list or forwardable disclosure material was located. The FAQ describes retrieval-augmented generation over language models without naming a provider, no customer agreement or DPA is published, and the security and privacy pages were not opened and are the rebuttal route. Surfaces checked 6 September 2026.

Court Disclosure Support

If a judge’s standing order requires an AI disclosure, can the product produce one?

Darrow
Not addressed

No located public material addresses producing a record of AI-assisted work. Nothing describes an export, an audit trail, a log of which signals or reasoning produced a given output, or any per-item record a firm could put in front of a court or a regulator. No model is recorded against an output, no human verification step is documented, and no disclosure guidance or template was located. The product's output is intelligence a firm acts on rather than a document it files, which softens the question without answering it, since a firm relying on surfaced exposure may still need to account for how a matter was identified. Searched the home page, the terms of use and the site navigation on 4 September 2026.

Pattern Data
Partial record

Some elements of a disclosure record are available and no export of an AI-use record is described. The platform page states clear sourcing and human validation at every step and that every result can stand up to review, audit or settlement, and the product generates settlement packets in administrator-required formats from validated data, which is a per-claimant record of what was extracted and checked; nothing states that a record of the model used and the reviewer's verification can be exported for a court, and court-appointed adjudication is performed by the vendor under the court's program rather than certified by the firm. Platform page and FAQ checked 6 September 2026.

What neither one publishes

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.

Signals neither addresses in public material
  • Primary Law Corpus Provenance
  • Good Law Verification
  • Bar Guidance Alignment

Which one fits

Choose Darrow if

  • Your problem is finding the next case before others do. Darrow ingests regulatory filings, incident reports, litigation patterns and market activity, more than 5 million signals a month by its figures, and surfaces where legal exposure is forming across more than 50 categories.
  • You insure or defend against that exposure. Darrow sells separate routes to insurers pricing litigation risk and to corporate compliance teams monitoring their own external footprint, alongside plaintiff and class action firms.
  • You want to know which AI companies are involved. Darrow's terms name Anthropic and OpenAI as its AI service providers, and give an indemnity against third party claims that use of the service infringes a US patent.

Choose Pattern Data if

  • Your problem is a docket of claimants already signed. Pattern Data screens each for exposure and injury, reconciles full records to model valuation, and calculates settlement points against the agreement's criteria, recalculating when criteria change.
  • You need automated decisions with a human backstop. Pattern Data states that eligible claims are auto adjudicated and complex or outlier cases are flagged for review, and it has been court appointed to run eligibility in settlement programs.
  • You want the unit of charge before a call. Pattern Data prices transactionally by case volume and service, naming case analysis, settlement allocation and packet generation, and integrates with Litify and an open API.

In summary

Darrow

Darrow, from Darrow AI Inc., a Delaware corporation based in New York, is a legal intelligence platform that works upstream of litigation, turning regulatory filings, incident reports, litigation patterns and market activity into signals about where legal exposure is forming. It sells to plaintiff and class action firms, insurers and corporate compliance teams on an annual subscription. The AI Legal Index grades it in the top two bands on five of fifteen capability axes, with an A on AI centrality. It shows about thirty customer firms by name and its terms name Anthropic and OpenAI as providers. As of 4 September 2026 the index located no security certification, retention period or price.

Source: AI Legal Index, 2026

Pattern Data

Pattern Data, based in Charlotte, North Carolina, is an AI case evaluation platform for mass tort litigation, sold to plaintiff and defense firms, settlement administrators and special masters. It screens, develops and settles whole dockets against litigation and settlement criteria, with tailored models for litigations such as Roundup, Camp Lejeune and talc, and has been court appointed to run eligibility and adjudication in settlement programs. The AI Legal Index grades it in the top two bands on six of fifteen capability axes, with A grades on AI centrality and oversight. It prices transactionally by case volume and integrates with Litify. As of 6 September 2026 the index located no customer agreement or named model.

Source: AI Legal Index, 2026

Questions buyers ask

Are Darrow and Pattern Data the same kind of product?

No. Darrow works before a case exists, surfacing signals of emerging legal exposure for plaintiff firms, insurers and compliance teams. Pattern Data works once a mass tort exists, evaluating claimants and preparing settlement submissions. Both serve mass tort practices. On the AI Legal Index Pattern Data sits in the top two bands on six of fifteen capability axes and Darrow on five of fifteen.

Does Darrow train on customer data?

Its terms grant Darrow and its subprocessors an irrevocable, perpetual, sublicensable license over customer data for maintaining and developing the service, expressly including training foundation models, with no opt out described. Pattern Data publishes no customer agreement and no statement on training either way. 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 27, 2026. No vendor pays for placement.

Which AI providers do Darrow and Pattern Data use?

Darrow's terms name Anthropic's Claude and OpenAI as its AI service providers, though the list is not exhaustive and Darrow may change providers without notice. Pattern Data describes retrieval augmented generation over language models without naming a provider or model, and publishes no subprocessor list. 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 27, 2026. No vendor pays for placement.

How are Darrow and Pattern Data priced?

Neither publishes a figure. Darrow sells an annual subscription set in an order form, payable in advance, non refundable and auto renewing, with overage fees for excessive use. Pattern Data prices transactionally by case volume and by service, tailored to each firm's caseload. 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 27, 2026. No vendor pays for placement.

What do Darrow and Pattern Data both leave unpublished?

A retention period, a governance position and a disclosure record. Neither states how long customer data is kept, neither describes testing of its models or who is accountable for them, and neither produces a record a firm could show a court of how an AI output was reached. Neither names a data region. 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 27, 2026. No vendor pays for placement.

Disclosure

Three readings to weigh. Darrow's terms grant it an irrevocable, perpetual license over customer data that expressly includes training foundation models, let it change AI providers without notice, and leave customer data outside their confidentiality definition. Pattern Data publishes no customer agreement, and its security and privacy pages were not read by this index. Neither publishes a price figure. Darrow was verified on 4 September 2026 and Pattern Data on 6 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.

Contact

Correct a record, or ask how something was graded

Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 303 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
September 26, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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