Hadrius vs Red Oak Compliance: how they compare in 2026

H
Hadrius profile
R
Red Oak Compliance profile
Last verifiedNovember 5, 2026
Verdict

The real difference is where each product starts. Hadrius starts from the whole supervisory program and runs it through AI, while Red Oak starts from the path a piece of marketing takes from draft to FINRA filing to the advisers who share it. Hadrius, founded in 2023 and backed by CRV and Y Combinator, puts marketing review, communications supervision, trade surveillance, attestations, testing and branch examinations in one system for RIAs, broker dealers, private funds and the consultants who serve them. Red Oak has sold review workflows to regulated firms for sixteen years. It files directly to FINRA's AREF system, distributes approved content through 4U, and added communications capture and the Mira supervision agent through its 2026 combination with MirrorWeb. The terms differ too. Hadrius's agreement bars training AI models on communications data, and its subprocessor list names OpenAI and Anthropic. Red Oak's promise not to train on content sits on its product pages, and it names no model provider. A compliance officer who wants one AI system across marketing, messages and trading should start with Hadrius. An asset manager or distributor whose review queue feeds FINRA filings and partner distribution should start with Red Oak.

Which one fits

Choose Hadrius if

  • You want marketing review, communications supervision, personal trading surveillance, attestations and annual testing in one system with one audit trail, configured to your compliance manual.
  • Your advisers' email, Teams, Slack, WhatsApp, iMessage and LinkedIn messages, along with their use of Claude Enterprise and ChatGPT, need capturing and supervising beside your marketing.
  • Your vendor review wants a published subprocessor list that names OpenAI and Anthropic for inference and places every subprocessor in the United States.
  • You want the agreement itself to bar training AI models on your communications data, and to give notice within 72 hours of a security incident involving Regulation S-P data.
  • You oversee several firms from one seat, as Csenge Advisory Group does for 28 firms with a single compliance officer, or serve client firms as a consultant from one login.

Choose Red Oak Compliance if

  • Your marketing goes to FINRA, and you want each piece filed to AREF from the review workflow with its comment letters stored beside it.
  • Approved content has to reach advisers and distribution partners through 4U, with disclosures inserted from one approved library.
  • Reviewers need parallel reviews, annotations on documents and video, approval stamping and routes set for each entity, and submitters want AI feedback before a reviewer opens the piece.
  • Your content already lives in Seismic, Adobe Workfront or Adobe Experience Manager and should move into review and back without rekeying.
  • You are an asset manager or distributor, and a fee tied to your clients' assets under management and your number of submissions suits your budget better than seats.

At a glance

Category
HadriusRegulatory & Compliance Counsel
Red Oak ComplianceRegulatory & Compliance Counsel
Founded
Hadrius2023
Red Oak ComplianceNot published
Headquarters
HadriusNew York, NY, United States
Red Oak ComplianceAustin, TX, United States
Last verified
HadriusNov 5, 2026
Red Oak ComplianceNov 5, 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.

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

The models are the proposition, and the vendor argues the point itself: if AI is generating the communications, the marketing and the trades, only AI can review them at the same scale. Hadrius calls its six modules agentic, and every module's described value is a machine determination. Marketing review reads text, images, audio and video against the firm's rules and required disclosures and routes each piece for approval. Communications supervision classifies, screens and ranks messages from more than thirty channels with severity scoring. The vendor puts the cut in false positives against legacy tools at 90 percent or more on its solution pages and at 99 percent on its home page. Account surveillance tests employee and firm trading against restricted lists, blackout windows and pre clearance rules and escalates what matters. The testing program, attestations and branch examinations sit around those determinations as workflow. Strip the models out and what remains is an archive and a task tracker, which is what the platform is sold against. The agreement calls the same thing by its plainer name, describing AI generated compliance outputs, automated approvals and recommendations.

Red Oak Compliance
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

Models now drive a core capability, and the platform beneath them still runs without them. Red Oak calls itself an agentic compliance platform, and two products rest on models. Mira, the supervision agent from MirrorWeb, reads each captured message in context against the firm's own handbook rather than matching keywords, scores each flag for severity and traces it to the clause that triggered it, and Red Oak credits it with 98 percent fewer false positive alerts. AI Review reads marketing against the firm's policies and lexicon before a reviewer opens it. The rest of the platform is workflow and record keeping, from routing and approval, the disclosure library and distribution through 4U to capture from more than thirty channels, WORM archiving and registration and complaint management. Those served the market for years before the models arrived, and they would still work as a review and archiving system with the models removed.

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.

Hadrius
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.

Outcome figures are published in quantity, and none of them measures whether the determinations are right. Hadrius claims a cut in false positives of 90 percent or more, put at 99 percent on its home page, a 96 percent cut in time spent on communications supervision, a tenfold cut in marketing review cycle time and 19 or more hours regained each week per user. It also claims a $3,900 average annual cost reduction per representative, and more than 1,000 firms holding over $10 trillion in assets. Customer stories add Republic's 60 percent cut in daily compliance time and Frec's halved review time. None of these figures carries a sample, a baseline or a method. Nothing addresses the failure that matters most in supervision, the violation the system does not flag. The agreement is more candid than the marketing. It says the services use artificial intelligence that is inherently not error free, that outputs are informational only, that Hadrius makes no warranty on their accuracy, completeness or reliability, and that the customer must verify every AI output before relying on it.

Red Oak Compliance
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.

Accuracy is asserted without measurement, and the grounding points to the firm's own handbook. Mira traces each flag to the policy and handbook clause that triggered it and shows its reasoning, so a reviewer sees which rule applies. AI Review flags language against the firm's policies and lexicon. The published figures measure speed and noise rather than correctness. Red Oak cites 98 percent fewer false positives and 80 percent less review time with Mira, and 3.3 times faster content approvals and 70 percent fewer compliance touches with AI Review, the approval figure reported by clients. None carries a sample, a period or a method, and nothing measures the missed violation. The agreement states the limit plainly. AI outputs may be inaccurate, incomplete or unreliable, may resemble third party content, are not guaranteed free of errors, and must be reviewed and validated by the client before use.

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.

Hadrius
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

The review point is stated, and the thresholds belong to the customer. Hadrius describes a system of record that runs compliance operations under human oversight, and its marketing module tells reviewers that they stay in control of decisions. The agreement makes that enforceable. AI outputs, automated approvals and recommendations are informational only, the customer must verify them independently before relying on them, and the vendor disclaims liability for regulatory penalties arising from reliance on automated outputs without review by qualified compliance staff. Escalation and routing are described, with severity scoring that ranks messages, trades and marketing so reviewers clear supervisory queues in priority order. Two gaps remain. The controls are the customer's to set. The firm configures surveillance rules, alert thresholds, restricted securities lists and retention periods, and the vendor does not warrant that any configuration meets the firm's regulatory obligations. And automated approvals are mentioned without any published description of what may be approved without a person, or of what happens when an item the system cleared later proves wrong.

Red Oak Compliance
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

The agreement says the AI is designed to assist human reviewers. It makes the client solely responsible for reviewing and validating every AI output, by human review included, before any use or reliance, and bars using AI outputs in regulated decision making without appropriate human review and oversight. It also bars connecting AI agents or autonomous processes to the AI features without Red Oak's written permission. The product follows the same line. AI Review gives submitters feedback before a reviewer opens the piece and suggests fixes that reviewers accept or reject. Mira routes each flag to the right reviewer with the clause behind it, supports escalation to a senior reviewer, and drafts policy refinements from reviewer decisions that change nothing until the firm's chosen approver signs off. Nothing published sets a threshold at which the AI stops, or says what happens to material the AI passed that a regulator later faults.

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.

Hadrius
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.

Five customers are quoted on the home page through the person accountable for the program: Tealee Hinger, Chief Compliance Officer at M1 Finance; Robert Spake, Chief Compliance Officer at Republic Capital; Michael Schmidtke, Chief Compliance Officer at Csenge Advisory Group; Laurie Williams, Deputy Chief Compliance Officer at SmartAsset; and Raymond Gettins, Director at United Advisor Group. Nine dated customer stories follow, and several carry figures. Republic reported a 60 percent cut in daily compliance time and Frec halved its review time, both in November 2023, and Arrived cut weekly marketing review time tenfold. In July 2026, Csenge described one compliance officer overseeing about 70 advisers across 28 firms, and SEC examiners asking no questions about marketing approved through Hadrius. Twenty Five Capital, an RIA its two advisers launched with NextReg, spends about an hour a month on compliance. The Series A announcement names BBVA, Altruist, Allworth Financial and World Investment Advisors as customers, and the home page claims more than 1,000 firms with over $10 trillion in assets. No figure carries a baseline, a period or a way of measuring it.

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

Scale is claimed, and none of it is attributed. Red Oak says more than 1,550 regulated firms use it, including 37 of the top 40 global asset managers, with about $101 trillion in client assets, an 84 Net Promoter Score and sixteen years serving regulated firms. Logos for Blackstone, Dimensional Fund Advisors, Fidelity Investments, J.P. Morgan, State Street, BNY, Raymond James, Lazard and USAA appear beside that claim, with no account of what any of them uses. The outcome figures carry no named firm, period or method. They are 98 percent fewer false positives and 80 percent less review time with Mira, and 3.3 times faster approvals and 70 percent fewer compliance touches with AI Review. The July 2026 combination announcement gives other numbers for the same claims, 17 of the top 20 asset managers and more than $62 trillion in assets. No client story naming a person and a result is published.

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.

Hadrius
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

Substantive written commitments, readable before signing, with privilege the part left unaddressed. The Master Services Agreement carries mutual confidentiality limited to people who need access, deletion of the other party's information after the agreement ends, subject to record keeping law, and a compelled disclosure clause requiring reasonable prior notice so the other party can contest the order. The customer keeps ownership of its inputs and is assigned the outputs. Inputs and outputs are used solely to provide the services, comply with law, enforce the agreement and prevent abuse. The agreement also bars Hadrius from using, aggregating or anonymizing any inputs or outputs derived from the customer's communications data for AI model training. The privacy policy says Hadrius processes customer data solely at the direction of its business customers as controllers, and that its AI providers' agreements prohibit them from training on customer data. A data processing agreement is incorporated by reference and available on request. Two things are left open. The training bar is worded for communications data, so other inputs rest on the purpose limit alone, and nothing addresses privilege or work product.

Red Oak Compliance
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

Confidentiality is committed in a published agreement, and the training position rests on product pages. The master services agreement carries mutual confidentiality for information marked confidential or that a reasonable person would see as confidential. It limits access to people who need to know and are bound by equal duties, and lasts three years after termination and longer for trade secrets. A legal process clause commits Red Oak to prompt written notice of a subpoena or similar demand, unless the law forbids it, so the client can seek a protective order, and to disclose only what is specifically requested. The client owns its data, and Red Oak's license is to provide the services. Against that, Red Oak may create deidentified client data and use it for any and all purposes during and after the term, and may keep client data after termination under its own retention policies. The statement that customer content is never used to train AI models sits on product pages rather than in the agreement. Nothing addresses segregation between clients, privilege, work product or what a model provider may keep.

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.

Hadrius
AA on UPL and Professional Responsibility PostureThe vendor states plainly what the product is and is not, who may use it, and how it supports a lawyer’s competence and supervision duties. Jurisdiction limits are named and any consumer facing surface carries a clear disclosure.

The advice line is drawn in the agreement, in terms, and it names the professional who has to do the checking. The Master Services Agreement states that AI generated compliance outputs, automated approvals and recommendations are provided for informational purposes only and do not constitute legal, regulatory or professional compliance advice. The customer must independently verify all AI generated outputs before relying on them and assumes sole responsibility for decisions based on them. Hadrius disclaims liability for regulatory penalties arising from reliance on automated outputs without independent review by qualified compliance personnel. A separate clause states that the service is designed to assist with SEC and FINRA compliance but does not guarantee compliance, and that the customer remains solely responsible for all compliance obligations, regulatory filings and supervisory decisions. Configuration is handled the same way. Hadrius gives implementation assistance and does not warrant that any configuration satisfies the firm's regulatory obligations. Who the product is for, what it is not, and whose judgment governs are each stated.

Red Oak Compliance
BB on UPL and Professional Responsibility PostureA real position is published on advice versus tooling, short of full treatment: commonly a disclaimer without the supervision and competence dimension, or silence on jurisdiction limits.

A real position on advice and tooling sits in the agreement, short of naming the regimes it covers. The master services agreement says the AI functionality is designed to assist human reviewers and should not be used for legal, financial, tax or other professional advice, decisions or recommendations without review by qualified professionals. The client is solely responsible for reviewing and validating every AI output before use and for decisions made in reliance on it, and may not use AI outputs in regulated decision making without appropriate human review and oversight. Red Oak is not responsible for the client's compliance with state and federal laws, which stays with the client alone, and it makes no investment recommendations. What is not stated is which regulatory regimes the product is built for and where it stops, and no clause ties the review duty to a named rule.

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.

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

A governance posture is stated, and no mechanism sits behind it. The vendor says the platform runs compliance operations under human oversight, that the AI follows each firm's compliance manual, and that the models behind it never store or retain client data. The agreement adds that artificial intelligence is inherently not error free. Hadrius also runs webinars for compliance officers on what AI can and cannot do in compliance work, which educate buyers rather than describe its own models. Nobody inside the company is named as accountable for the models, nothing is published about what is tested before a change ships, and nothing says whether output differs across channels, languages, firm types or the people an adviser communicates with. The trust center offers an information security policy, a continuity plan and an incident response plan on request, and none is described as covering model testing or bias. On a product whose headline claim is its false positive rate, no testing regime behind that number is published.

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

Principles for the AI are published, and no mechanism for governing the models sits behind them. Red Oak's AI approach page sets out that a person makes every review decision, that every policy update the AI drafts waits for an administrator's approval, that improvements stay inside the firm, and that every classification, routing step, escalation and resolution is logged with the reviewer's name. It says plainly that its compliance grade AI label is not a certification or a regulatory approval. What is not published is how Red Oak governs the models themselves. No owner of the AI is named, nothing describes testing or evaluation before a model or prompt change reaches customers, and nothing addresses whether flags differ across content types, channels, languages or the people an adviser serves. The agreement adds that outputs may be inaccurate, incomplete or unreliable, and that other users may receive similar output.

AI Safety and Data Stewardship

Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.

Hadrius
AA on AI Safety and Data StewardshipRetention, deletion, access control, subprocessors and incident practice are all published, current, and specific enough to hold the vendor to.

Retention, deletion, access, subprocessors and incident handling are each published, and each is specific enough to hold the vendor to. Retention is the customer's to set. The agreement makes the firm configure retention periods to its regulatory requirements, the privacy policy says customer data is kept on the customer's instructions, and records are archived write once to the 17a-4 standard. At the AI layer, Hadrius says its models never store or retain client data and that data is permanently deleted once processed. When the agreement ends, each party deletes the other's information, subject to record keeping law. Access is controlled by role, with single sign on through WorkOS, multi factor authentication and information barriers at user, branch and organization level, and data is encrypted in transit and at rest with AES-256. Hadrius publishes a list of fifteen subprocessors with their purposes, all located in the United States, from Amazon Web Services for hosting to OpenAI and Anthropic for model inference. The agreement commits to notifying the customer within seventy two hours of confirming a security incident involving data subject to Regulation S-P, with written detail of its scope, preserved forensic evidence and reports fit for a regulatory examination. Third party penetration testing runs at least once a year, and the incident response plan is offered through the trust center on request.

Red Oak Compliance
BB on AI Safety and Data StewardshipSubstantive published policy covering most of the ground, short of the full set: commonly no named subprocessor list or no stated incident practice.

All client data is stored in the United States, though a limited number of Red Oak and vendor personnel may reach it from abroad to provide the service. Either party must report a security breach involving client data or confidential information within seventy two hours of confirming it. Records sit in WORM storage, administrators set retention by communication type, and access runs through single sign on and role based permissions. After the agreement ends, Red Oak may keep client data under its internal retention and compliance policies or as the law requires. The client may export its data free for thirty days, and a charge applies after that, and no express duty to delete client data is stated. The legal center lists a subprocessor list by contracting company and a data processing addendum; outside those two documents, no subprocessor is named and no encryption standard is published. Security and data handling detail is pointed to a trust center hosted on MirrorWeb's domain.

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.

Hadrius
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, and the exposure the product creates sits outside it. The Master Services Agreement, effective January 1, 2026, carries a mutual indemnity with stated scope and a defined procedure. Hadrius defends claims that the software behind its services infringes third party intellectual property, subject to six exclusions such as customer inputs, modifications and combinations with other products. The customer defends claims arising from its own use of the services and its inputs. Liability is capped at the fees paid or payable in the twelve months before the claim, lost profits and consequential, indirect, punitive and special damages are excluded both ways, and indemnities sit outside the cap. Hadrius warrants professional and workmanlike service by qualified personnel and commercially reasonable efforts to keep out malicious code, and otherwise provides the service as is. What is expressly excluded is the loss a compliance officer would fear most. Hadrius is not liable for regulatory enforcement actions, fines or sanctions imposed on the customer or its staff, and disclaims liability for penalties arising from reliance on automated outputs without independent review. No insurance is referenced. Disputes go to arbitration in New York under Delaware law.

Red Oak Compliance
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, and it leaves the AI's errors with the customer. The master services agreement has Red Oak defend third party claims that the services as it provides them infringe a copyright, trademark, trade secret or patent. Exclusions cover client data, use outside the agreement and combinations with other products, and Red Oak may modify the service or end the subscription and refund prepaid fees. That indemnity is the client's exclusive remedy for infringement. Red Oak warrants that the services contain the functionality described in its documentation, and the remedy is repair, reperformance or a pro rata refund. Liability is capped at the fees paid or payable in the twelve months before the first event, with indirect, consequential, punitive, special, lost data and lost profit damages excluded, and the cap applies to every claim, the indemnity included. For the AI, Red Oak disclaims all liability arising from the client's use of or reliance on AI outputs, and the client is solely responsible for reviewing and validating them. No insurance is referenced. Disputes go to arbitration in Delaware under Delaware law.

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.

Hadrius
AA on Practice Systems Integration DepthDocumented, verifiable integrations into the systems legal work already lives in, with the depth described: what syncs, in which direction, and what a firm must configure.

The systems this work lives in are named, and the setup is written down in a help center an administrator can follow. Microsoft 365 email is captured by a journal rule in Microsoft Purview that sends a copy of every message sent or received by everyone in the organization to the firm's Hadrius journaling address. Where a relay such as Proofpoint, Mimecast or Barracuda sits in the mail path, the guide adds a mail flow connector in Exchange and gives its settings. Employees connect LinkedIn direct messages by signing in to LinkedIn from inside Hadrius. Claude Enterprise feeds every employee prompt and response, with the sender, time and conversation, through Claude's read only Compliance API, and ChatGPT is archived as well. Each of these flows runs into Hadrius, into the archive and the review queues. The agreement names the customer systems it expects to connect, Gmail and Microsoft Exchange, Slack, WhatsApp, LinkedIn and Telegram, and Plaid for brokerage feeds, and it binds Hadrius to Google's user data policy for data from Google Workspace. The subprocessor list adds SnapTrade, MX, Vezgo and BridgeFT for account surveillance and capture services for iMessage, SMS, RCS, Discord and Zoom, and filing support connects to FINRA Gateway. The agreement is frank that third party integrations are a convenience, that continued availability is not guaranteed and that Hadrius is not liable for data gaps arising from them, and it puts permissions and access settings on the customer.

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

Named connections, described by what they move, short of setup detail. Review records file directly to FINRA's AREF system from the workflow, and comment letters are retrieved and stored with them. A FINRA API carries registrations, licenses and CRD records, and FINRA charges separately for that access. A disclosure API sends approved disclosure language out, and Seismic, Adobe Workfront and Adobe Experience Manager exchange approved content, disclosures, submissions and review markups with the platform. Capture covers more than thirty channels, each provisioned in about a minute. Email from Microsoft 365, Exchange and Google Workspace arrives by journal copy with full body and attachments, Bloomberg chats and mail by a daily file through the firm's SFTP, ICE Chat and Symphony every twelve hours, WhatsApp by phone enrollment, and social accounts by enrollment. Teams, Slack Enterprise Grid, Zoom, iMessage, LinkedIn, X, Facebook, Instagram, TikTok, YouTube and generative AI tools are captured too. What is missing is depth for an implementer. No setup guide or developer documentation is published, and nothing states what a firm configures for each connection.

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.

Hadrius
BB on Deployment Model and Data ResidencyDeployment model is stated clearly with partial residency detail, or residency is offered without the processing location being addressed, or the tenancy model is stated on its own with no residency detail published.

Hadrius runs as a cloud service on Amazon Web Services, and its subprocessor list places AWS and every other subprocessor in the United States. That country is the residency detail published. Nothing states the AWS region, offers a residency choice for a firm with obligations outside the United States, or separates where data is stored from where models process it, beyond the same list naming OpenAI and Anthropic, also in the United States, for inference. Nothing published states how customers are separated from one another, with no tenancy model and no single tenant or private option. The separation that is published sits inside an account rather than between accounts, in the workspaces offered to compliance consultants so they can run several client firms from one login, and in information barriers set at user, branch and organization level. The agreement's export control clause bars access from embargoed countries.

Red Oak Compliance
BB on Deployment Model and Data ResidencyDeployment model is stated clearly with partial residency detail, or residency is offered without the processing location being addressed, or the tenancy model is stated on its own with no residency detail published.

The storage country is stated, and the rest of the deployment picture is not. The master services agreement says all client data will be stored in the United States, and that a limited number of Red Oak and vendor personnel may access it from outside the United States to provide the services. The service is delivered as a cloud subscription. Nothing names the cloud provider or region, describes the tenancy model, or offers single tenant, private or on premises options. Nothing separates where the AI processes content from where records are stored. No residency choice is offered for firms outside the United States, although the combined company now has an office in Manchester and its privacy policy covers transfers between its affiliates.

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.

Hadrius
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

Standards are named, a trust center exists, and the evidence sits behind a request. Hadrius says it is SOC 2 Type II compliant, with its security, availability and confidentiality controls independently audited, and every page carries ISO 27001, AICPA SOC and GDPR marks. The trust center at trust.hadrius.com lists SOC 2, ISO 27001, GDPR and CCPA. It offers the SOC 2 Type II report, the information security policy, the continuity and disaster recovery plan, the incident response plan and a penetration test, each through an access request. No audit period, auditor or ISO certificate scope is published, and nothing says whether the documents are released before a contract. Third party penetration testing runs at least once a year alongside continuous vulnerability assessment, and systems are monitored around the clock.

Red Oak Compliance
DD on Security Certifications and Trust CenterNo independent security attestation located.

No independent security attestation is named on Red Oak's own pages. Red Oak points buyers to a trust center hosted on MirrorWeb's domain for access, security and data handling, and its product pages describe single sign on, role based access and WORM storage for every record. The agreement commits to breach notice within seventy two hours and to storing client data in the United States, and the privacy policy describes physical, electronic and procedural safeguards meeting federal and state standards. None of that is a third party's examination. No SOC 2 report, ISO 27001 certificate, audit period, auditor or penetration test is named on any Red Oak page or in its product terms. A chief information security officer, Phil Clegg, is named among the leadership.

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.

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

The providers are named, and the commitments stop there. Hadrius's published subprocessor list names OpenAI and Anthropic for model inference, both located in the United States, alongside Reducto for processing marketing documents, and the privacy policy names OpenAI among the AI providers behind certain features. The privacy policy also says those providers' agreements prohibit them from using customer data for their own training, and Hadrius says the models never store or retain client data. What is not published is which model or version runs which module, the region where inference happens, or any commitment to tell customers when a provider or model changes, and the agreement carries no clause on notice of subprocessor changes. Claude also appears in a second role. A July 2026 integration with Claude's Compliance API pulls employee prompts and responses out of Claude Enterprise into the archive, alongside existing ChatGPT archiving, which makes those platforms sources of records to supervise rather than the engine doing the supervising.

Red Oak Compliance
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

The AI is described, and the models underneath are not identified. Red Oak's pages describe AI Review and Mira by what they do, and the agreement defines its AI functionality to include large language models, but no provider, model family or version is named. Nothing says where inference runs, and no commitment is made to tell customers when a model changes. ChatGPT and Claude appear only as tools whose employee use Red Oak captures for supervision, not as the engines behind its own features. The agreement forbids clients from trying to reconstruct the architecture, weights, parameters or training data of any model used in the services, which confirms the models are there without saying whose they are.

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.

Hadrius
CC on Commercial TransparencyPricing is gated behind a demo request while tier names and feature splits are published, so the shape is visible and the number is not.

The shape is visible and the number is not. Six modules are sold as separate solutions, the testing program, marketing, people oversight, communications, account surveillance and branches, and Hadrius says two thirds of its customers use three or more of them. The agreement names the billing structure. Fees are set in an order form, invoices fall due within thirty days, and past due balances carry the lesser of 1.5 percent a month or the legal maximum. Order terms renew automatically for successive twelve month periods unless either side gives thirty days' notice, and fees can be raised for a renewal term on thirty days' notice. The inspection clause names the unit in passing. The customer keeps records of user counts and module usage, Hadrius may audit them once a year, and the customer pays the audit costs if fees were underpaid by more than 5 percent. No rate, band, minimum or implementation figure is published, there is no pricing page, and the route to a price is a demo request that asks for firm size in four bands.

Red Oak Compliance
CC on Commercial TransparencyPricing is gated behind a demo request while tier names and feature splits are published, so the shape is visible and the number is not.

The structure and units are published in the terms, and no figure is. Red Oak's product terms set the compliance platform fee by the assets under management of the client's own customers, and count usage in books and records units, one consumed per submission, with attachments able to add more. A client that exceeds its tier moves up automatically and is billed the full difference without proration, for up to two tiers, before usage is billed at current prices. The distribution platform is priced by total firm assets and content record tier and invoiced annually in advance. FINRA charges separately for its own API. The master services agreement treats the order form quantities as a minimum annual commitment billed in advance, measures usage monthly and invoices overages quarterly. Unit rates rise by 5 percent on each anniversary, and terms renew for a year at a time unless either side gives sixty days' notice. No rate, tier boundary or implementation fee is published, and there is no pricing page, so the route to a number is a demo request.

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.

Hadrius
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.

Four buyer segments, each tied to the rules it answers to, and no statement of where the product stops. Broker dealers get supervision under FINRA Rules 3110, 3120 and 3130 with write once retention and evidence for the chief executive's annual certification. RIAs get SEC Rule 206(4)-7 put into practice, with program testing, annual reviews and Marketing Rule workflows. Private funds get personal trading surveillance against restricted lists and blackout windows with Code of Ethics attestations and conflict tracking. Compliance consultants get workspaces that hold several client firms under one login, with standard evidence packs across them. The customer stories show the range in practice, from Twenty Five Capital, a two adviser RIA, to Csenge Advisory Group, an RIA aggregator overseeing 28 firms across nearly 40 custodians, and on to BBVA and M1 Finance. Firm size bands on the demo form run from 1 to 50 up to more than 5,000. What is absent is the boundary. Nothing says which regimes are out of scope, and a firm with banking, insurance or obligations outside the United States is left to infer.

Red Oak Compliance
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.

Segments and the rules behind them are named, and the boundary is not. Red Oak sells to small and mid sized firms and to enterprises across broker dealers, registered investment advisers, asset managers, wealth platforms and the distributors that share approved content with them. It says 37 of the top 40 global asset managers use it among more than 1,550 regulated firms. The rules named run from SEC Rule 17a-4 for broker dealers and Advisers Act Rule 204-2 for advisers to FINRA filing through AREF and registrations through the FINRA API. Use cases cover books and records, off channel communications, exam readiness, and investigations and regulatory requests. Partners include consultants, implementation partners and more than 300 wealth and investment firms connected through 4U. What is absent is the boundary. Nothing states which regimes or firm types the platform does not serve, and coverage of rules outside the United States is not described, despite the Manchester office.

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?

Hadrius
Never, in the contract

The agreement names AI model training and bars it on communications data. Its purpose limit comes first. Hadrius uses a customer's inputs and outputs solely to provide the services, comply with law, enforce the agreement and prevent abuse. It then states that Hadrius shall not use, aggregate, anonymize or otherwise process any inputs or outputs derived from the customer's communications data for AI model training, so aggregation or anonymization opens no route to training on that material.

Usage data about how the service is used may support product improvement and is disclosed only in aggregated or anonymized form, and that right never names training. The prohibition is worded for communications data, so other inputs, such as trade and account data, rest on the purpose limit. The privacy policy adds that Hadrius's AI providers, OpenAI among them, are contractually barred from training on customer data.

Its separate line on improving AI models with aggregated or anonymized personal data covers data Hadrius collects itself, and it states that customer data is governed by the customer agreements.

Red Oak Compliance
Never, in policy only

A product page says no, and the agreement does not address training on client content. Red Oak's marketing compliance page says AI Review learns over time, with improvements isolated to the client's organization and never used for model training, and that customer content is never used to train AI models. Its platform page puts it as improvements that stay inside the firm and never train anyone else's model. The master services agreement does not name training of Red Oak's models.

It grants Red Oak a license to client data to provide the services, and separately lets Red Oak create deidentified client data and use it for any and all purposes during and after the term, a right that never names training. Its only training clause runs the other way, barring the client from using outputs to train or develop its own AI models without consent. The privacy policy covers the website and business contacts and says nothing about models.

Prompt and Output Retention

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

Hadrius
Customer controlled, no zero option

Two retention regimes run side by side, and the customer controls the one that holds the record. At the AI layer the commitment is zero. Hadrius says its models never store or retain client data and that data is permanently deleted once processed. At the record layer the product exists to keep things, because the firm is required to. The agreement makes the customer configure retention periods to its regulatory requirements, and the communications module offers customizable retention on a write once archive.

The privacy policy says customer data is kept in line with customer instructions, with periods governed by the data processing agreement and the customer agreement. No setting to keep nothing is offered for the archived record, and no period is stated for review outputs held inside the platform.

Red Oak Compliance
Customer controlled, no zero option

The record's retention is the firm's to set, and the AI layer is not addressed. Administrators set retention by communication type, so email, Teams and website content can each follow their own schedule, and every version, comment and approval in advertising review is kept in WORM storage for the firm's policy period. Nothing states how long prompts or content passed to the AI models are kept, or whether a model provider keeps any of it.

After the agreement ends, Red Oak may keep client data under its internal retention and compliance policies or as the law requires. The client may export its data at no charge for thirty days, and a charge applies after that. No setting to keep nothing is offered.

Ethical Walls and Matter Segregation

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

Hadrius
Own model, documented

Separation is documented at the level this product needs it, between client firms inside one account and between parts of a firm. Compliance consultants are sold workspaces that hold several client firms under one login, to deliver reviews, testing and evidence packs across them. The branches module carries the same structure inside a single firm, managing branch examinations, the personnel org chart, questionnaires and remediations as separate units.

Access is controlled by role, with single sign on and multi factor authentication, and Hadrius lists information barriers with controls at user, branch and organization level. The agreement puts the configuration of those permissions on the customer, and the audit trail records who reviewed, escalated, approved and remediated what. How an information barrier is enforced when the AI reads across a workspace is not described, which matters most in the consultant setup, where one reviewer may serve competing advisers.

Red Oak Compliance
Not addressed

Nothing published addresses walls or segregation, between clients or inside one. Routes and rules are set per entity in advertising review, access runs through single sign on and role based permissions, and supervision flags are routed to the right reviewer. Those control who reviews what, and none is described as a barrier that keeps one client's content apart from another's, or one business line's from another's. On a platform holding unpublished marketing and captured communications for more than 1,550 firms, nothing describes how client data is separated, and no conflicts or screening control appears.

The agreement bars clients from letting AI agents reach the AI features without permission, which governs access rather than separation.

Third Party Request and Subpoena Notice

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

Hadrius
Notice committed

The commitment is in the agreement, and it is aimed at letting the customer fight. The confidentiality section allows a party to disclose the other's information under a judicial or governmental order only with reasonable prior notice, so the other party can contest the order. The clause is mutual, puts notice before disclosure rather than after, and states the contest as its purpose. The privacy policy says the same in plainer words.

Hadrius does not voluntarily give customer data to government agencies outside valid legal process, and where legally permitted it notifies affected business customers before disclosing their data. A related clause has Hadrius cooperate with the customer's own regulatory examinations by providing documentation and staff, with the customer reimbursing costs beyond eight hours a year. No transparency report is published.

Red Oak Compliance
Notice committed

The commitment sits in the agreement, with a route to a protective order. If Red Oak or its staff receive a subpoena, civil investigative demand or similar request for the client's confidential information, the master services agreement commits Red Oak to prompt written notice, unless the law prevents it, so the client can seek a protective order or other remedy. If the client obtains one before the response deadline, Red Oak withholds the information accordingly.

Otherwise Red Oak discloses only the specifically requested information. The privacy policy separately allows disclosure to regulators, courts and other bodies as the law requires, and in litigation or regulatory inquiries involving Red Oak or its clients, for personal data from the website and business dealings. No transparency report is published.

Primary Law Corpus Provenance

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

Hadrius
Sources named, basis unstated

The rules are named, and where the rule content comes from is not. Published coverage runs to the SEC Marketing Rule and Rule 206(4)-7, ADV Part 2B, FINRA Rules 3110, 3120 and 3130, Rule 17a-4 and write once retention, Regulation S-P, and the Code of Ethics and personal trading rules for an adviser's employees. The other source is the customer's own policy, described as policy as code and configured to each firm's compliance manual, with the firm responsible for setting its own surveillance rules, thresholds and restricted lists.

Nothing states who writes or maintains the regulatory rule content, how quickly a rule change reaches the platform, or on what basis any source is used. No third party regulatory content provider is named, so the analysis is the vendor's own.

Red Oak Compliance
Jurisdictions only

The regimes are named, and no corpus behind the judgments is identified. Coverage is described by regulator and rule, from SEC Rule 17a-4 for broker dealers and Advisers Act Rule 204-2 for advisers to FINRA filing through AREF and FINRA registration records. Mira is described as turning a firm's compliance handbook into supervision policies grounded in SEC and FINRA rules, and AI Review works from the firm's own policies, lexicon and disclosure library, which makes the customer's rulebook the working corpus.

No regulatory rule set, filing guidance, enforcement record or interpretive source is named as maintained by the vendor. Nothing states who updates rule content when a regulator moves, and no license or rights basis is stated.

Good Law Verification

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

Hadrius
Not addressed

Hadrius cites no authority a reader could open, so there is nothing for a treatment signal to rest on. Its output is a determination about a piece of marketing, a communication or a trade, together with an audit trail, rather than a proposition of law with a citation behind it. The rules it applies are named in the marketing, from FINRA Rules 3110, 3120 and 3130 to SEC Rule 206(4)-7, but nothing published describes how the platform keeps current with them.

Nothing says who monitors SEC or FINRA rule changes, how long a change takes to reach the review logic, or whether a firm is told when a rule it relies on has moved. For a product sold on being ready for an examination, that currency question is the nearest analog to a treatment signal, and it is unanswered.

Red Oak Compliance
Not addressed

Flags cite the firm's own handbook rather than legal authority, so a treatment signal has nothing to attach to. Mira traces each flag to the policy and handbook clause that triggered it, and AI Review checks copy against the firm's policies, lexicon and disclosure library. Neither quotes a rule, a release or an enforcement action a user would need to check for currency. The currency question that does arise is whether a handbook or lexicon configured last year still reflects what the SEC or FINRA requires today.

Mira proposes refinements from reviewer decisions for the firm to approve, and nothing describes Red Oak monitoring rule changes or telling a firm that the basis of its automated review has moved.

Refusal and Uncertainty Behavior

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

Hadrius
Confidence signal only

Uncertainty is expressed as risk ranking, and what the system does when it cannot tell is not described. The published behavior is triage. The AI classifies, screens and prioritizes trades, communications and marketing with severity scoring, so reviewers clear supervisory queues in order, and Hadrius claims a cut in false positives of 90 percent or more. That is a confidence signal applied to workload rather than to knowledge.

Nothing published describes an abstention, a threshold below which the system declines to decide, or what a reviewer sees when the model has no basis for a judgment as distinct from a low risk one. The agreement approaches the same ground from the other side. It requires the customer to verify every AI output independently before relying on it and disclaims liability where automated outputs are relied on without review by qualified compliance personnel.

Red Oak Compliance
Confidence signal only

Mira scores and explains its flags, and nothing describes what it does when it cannot judge. Each flag is classified by policy area, scored for severity and shown with the handbook clause and the reasoning behind it, so a reviewer can weigh it. That is a severity and grounding signal attached to each judgment. Nothing published describes an abstention, a threshold below which the system declines to decide, or what a reviewer sees when a message or a piece of marketing falls outside the policies configured for that firm.

AI Review flags language before a reviewer opens the piece, and nothing distinguishes a clean pass from content the model could not assess. The agreement puts the check on the client, who must review and validate every AI output before relying on it.

Fabricated Citation Record

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

Hadrius
None located

The AI Hallucination Cases database kept by Damien Charlotin holds no entry naming Hadrius or Quantbase. Hadrius asserts no law and cites no authority, so an invented citation is not the exposure here. The failure that would matter is a communication or an advertisement that cleared automated review and later drew an SEC or FINRA finding, or a trade pattern the surveillance did not escalate. This covers fabricated citations only and is not a litigation history.

Red Oak Compliance
None located

The AI Hallucination Cases database kept by Damien Charlotin holds no entry naming Red Oak or Red Oak Compliance. Red Oak's AI cites the firm's own handbook rather than legal authority, so an invented citation is not the main exposure. The failure that would matter is marketing that cleared AI review and later drew an SEC or FINRA finding, or a communication Mira did not flag. This covers fabricated citations only and is not a litigation history.

Bar Guidance Alignment

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

Hadrius
Generic reference

Professional obligation is referred to as such, and no rule, opinion or bar is named. The Master Services Agreement states that AI generated compliance outputs, automated approvals and recommendations are informational only and do not constitute legal, regulatory or professional compliance advice, and that reliance without independent review by qualified compliance personnel is the customer's own risk. A second clause puts supervisory decisions and all compliance obligations squarely on the customer.

That engages the duty in general terms. What Hadrius names in abundance is regulation binding the firm rather than guidance binding a practitioner, from the SEC Marketing Rule and Rule 206(4)-7 to FINRA Rules 3110, 3120 and 3130, Rule 17a-4 and Regulation S-P. None of that is bar or ethics guidance. No rule of professional conduct, ethics opinion or bar publication appears, and nothing engages the guidance on lawyers' use of generative AI.

Red Oak Compliance
Generic reference

Professional duty is engaged in the agreement, and no guidance is named. The master services agreement says the AI functionality is designed to assist human reviewers and should not be used for legal, financial, tax or other professional advice without review by qualified professionals. It bars AI outputs in regulated decision making without appropriate human review and oversight, and leaves compliance with state and federal law to the client.

That draws the advice line in general terms. No rule of professional conduct, ethics opinion, or bar or regulator guidance on generative AI is named, and nothing ties the AI features to a compliance officer's own supervisory duties under a named rule.

Billing and Fee Posture

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

Hadrius
Outside the fee relationship

No lawyer's fee sits in this product's path. The buyer is the regulated firm itself, or a compliance consultant serving several such firms, and the subscription is an operating cost the firm carries rather than anything billed to an advisory client. The vendor's economic case is internal efficiency. It claims 19 or more hours regained each week per user and an average annual compliance cost reduction of $3,900 per registered representative, and pitches consultants on scaling oversight rather than headcount.

Those are savings claims about the firm's own costs. Nothing here bears on what a client is told about work done with AI or how it is billed, because no client bill is involved. The disclosure duties the product does engage run to regulators rather than clients.

Red Oak Compliance
Outside the fee relationship

No lawyer's fee sits in this product's path. The buyer is the regulated firm itself, licensing the platform for its compliance, marketing and supervision teams, and nothing is billed on to an advisory client. The fee follows the client's own assets under management and its usage in submissions, with distribution priced by firm assets. Red Oak frames the value as internal speed and less noise, citing 3.3 times faster approvals and 70 percent fewer compliance touches with AI Review and 98 percent fewer false positives with Mira. Those are savings claims about the firm's own costs, and no client bill is in the loop.

Outside Counsel Guideline Readiness

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

Hadrius
Subprocessors listed

A current subprocessor list names the model providers that see customer content. Hadrius publishes fifteen subprocessors on its trust center with their purposes, all in the United States. OpenAI and Anthropic run model inference, Amazon Web Services hosts the platform, Reducto processes marketing documents, and the rest capture messages or feed account data. The privacy policy links to the same list and says the AI providers are contractually barred from training on customer data.

The agreement adds terms a reviewer can cite. It commits to notice within seventy two hours of a security incident involving Regulation S-P data, with written scope, forensic preservation and reports ready for an examination, and to cooperation with the customer's own regulatory examinations. The SOC 2 Type II report, the penetration test and the security policies sit behind an access request, and the data processing agreement is available on request. No client facing disclosure or consent pack is published.

Red Oak Compliance
On request only

The diligence material exists and sits off the public page. Red Oak's legal center lists a data processing addendum in US and non US versions and a subprocessor list arranged by contracting company, and neither opens to readable text from it. Security and data handling detail is pointed to a trust center hosted on MirrorWeb's domain. The master services agreement gives a reviewer terms to cite, with client data stored in the United States, breach notice within seventy two hours and notice before any compelled disclosure. No model provider is named anywhere, and no client facing disclosure or consent pack is published.

Court Disclosure Support

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

Hadrius
Partial record

The record is built for an examiner rather than a court, and read that way it is substantial but incomplete. Every review, escalation, approval and remediation is timestamped into an immutable audit trail, and communications and marketing are archived write once. Hadrius offers one click exam exports that compile an examination package in seconds, and account surveillance exports audit trails ready for an examiner. The agreement commits Hadrius to cooperate with the customer's regulatory examinations by providing documentation and making staff available.

Csenge Advisory Group says SEC examiners asked no questions about marketing it approved through Hadrius. What is missing is the disclosure question itself. Nothing distinguishes a determination the AI made from one a reviewer made once both sit in the trail, and nothing describes an export that discloses machine involvement.

Red Oak Compliance
Partial record

The record is built for an examiner rather than a court, and it is substantial. Every classification, routing step, escalation and resolution is logged with the reviewer's name and a timestamp on one audit trail, and records sit in WORM storage under SEC Rule 17a-4. A case can be exported as one package with its history, or as a summary PDF report that Mira drafts for review, and results for a regulatory or litigation request can be saved to a vault.

FINRA filings keep their comment letters beside them. What is missing is a disclosure of machine involvement. Nothing describes an export that separates what the AI flagged or suggested from what a reviewer decided, and no court sits in this product's path.

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
  • Good Law Verification

In summary

Hadrius

Hadrius is an AI compliance platform from Quantbase Investments, Inc. of New York, founded in 2023 and backed by Y Combinator and a $22 million Series A led by CRV. Registered investment advisers, broker dealers, private funds and compliance consultants use it to run marketing review, communications supervision, trade surveillance, attestations, testing and branch examinations in one system, configured to each firm's compliance manual. It captures messages from more than thirty channels, including Microsoft 365, WhatsApp, LinkedIn and employee use of Claude Enterprise and ChatGPT. The AI Legal Index's profile of Hadrius shows a help center that walks an administrator through setup, such as the Microsoft Purview journal rule that copies every message to Hadrius. Customers include M1 Finance, SmartAsset, BBVA and Csenge Advisory Group. The main caveat is the evidence behind its numbers, since figures such as a 90 percent cut in false positives come without a method, and no price is published.

Source: AI Legal Index, 2026

Red Oak Compliance

Red Oak is a compliance platform for regulated financial firms, sold by Red Oak Compliance Software, LLC of Austin, Texas, which combined with the archiving company MirrorWeb in 2026 and kept the Red Oak name. Asset managers, broker dealers, advisers and distributors use it to route marketing through review workflows, file to FINRA's AREF system, insert approved disclosures and send approved content to advisers through 4U. AI Review flags promissory and misleading language before a reviewer opens a piece, and Mira supervises captured messages against the firm's handbook, citing the clause behind each flag. Red Oak says more than 1,550 firms use it, including 37 of the top 40 global asset managers. The AI Legal Index catalogs a fee built on the assets under management of a client's own customers and on submissions counted in books and records units. The main caveat is the paper behind the AI, since no model provider or security audit is named on Red Oak's pages and the promise not to train on content sits outside the agreement.

Source: AI Legal Index, 2026

Questions buyers ask

How does Hadrius compare to Red Oak Compliance for an RIA or broker dealer?

Hadrius runs an adviser's or broker dealer's whole supervisory program through AI, from marketing and messages to personal trading, testing and branch examinations, in one system built since 2023. Red Oak Compliance centers on marketing review, with workflows the compliance team sets for each entity, filing to FINRA's AREF system and distribution of approved content to advisers through 4U. Since combining with MirrorWeb, Red Oak also captures and supervises communications, with its Mira agent reading messages against the firm's handbook. An RIA or broker dealer that wants one AI system for every supervisory duty is closer to Hadrius, and one whose heaviest load is marketing that is filed and distributed is closer to Red Oak. From the AI Legal Index, based on each vendor's own published materials as of November 5, 2026. No vendor pays for placement.

How much do Hadrius and Red Oak Compliance cost?

Neither Hadrius nor Red Oak Compliance publishes a rate, and both quote through a demo request. Hadrius sells its six modules separately under an order form, and its agreement tracks user counts and module usage for billing. Red Oak's product terms price the compliance platform by the assets under management of the client's own customers and count submissions in books and records units, with tiers that step up automatically and unit rates that rise 5% a year. Hadrius orders renew for twelve months unless either side gives 30 days' notice, and Red Oak's renew for a year unless either side gives 60 days' notice. From the AI Legal Index, based on each vendor's own published materials as of November 5, 2026. No vendor pays for placement.

Do Hadrius and Red Oak Compliance train AI models on client content?

Hadrius's master services agreement bars it from using, aggregating or anonymizing inputs or outputs derived from a customer's communications data for AI model training, and limits other inputs to providing the service. Its privacy policy adds that its AI providers are contractually barred from training on customer data. Red Oak Compliance says on its product pages that customer content is never used to train AI models and that AI Review's improvements stay inside the client's organization. Red Oak's agreement does not address training, and it lets Red Oak use deidentified client data for any purpose. From the AI Legal Index, based on each vendor's own published materials as of November 5, 2026. No vendor pays for placement.

Where do Hadrius and Red Oak Compliance keep client data, and which AI models do they use?

Hadrius runs on Amazon Web Services, and its subprocessors, including OpenAI and Anthropic for model inference, are all located in the United States. It says it is SOC 2 Type II compliant and offers the report through its trust center on request. Red Oak Compliance's agreement stores all client data in the United States, with some staff able to reach it from abroad. Red Oak identifies no model provider and points to a trust center hosted by MirrorWeb for security detail. The AI Legal Index contrasts the two incident clauses, each giving notice within 72 hours, with Hadrius adding preserved forensic evidence and reports fit for a regulatory examination.

Who signs off on marketing in Hadrius and Red Oak Compliance?

In both, a person does. Hadrius routes each piece to approval with an immutable version history, and its agreement calls AI output informational, requires verification by qualified compliance personnel and excludes liability for regulatory fines. Red Oak Compliance gives submitters AI feedback before a reviewer opens the piece, stamps approved content and keeps every version in WORM storage, and its agreement bars using AI output in regulated decisions without human review. Neither agreement makes the vendor answer for a piece the AI cleared that a regulator later faulted. From the AI Legal Index, based on each vendor's own published materials as of November 5, 2026. No vendor pays for placement.

Disclosure

Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.

Neither vendor publishes a price, a tested accuracy method for its AI, the model versions behind its features, or terms that cover a loss when the AI clears content a regulator later faults. Red Oak's results, such as 98 percent fewer false positives with Mira, carry no named client. On a Hadrius order, the open questions are the modules and user count being priced, whether the training bar reaches marketing and trade data as well as communications, and the period of the SOC 2 Type II report. On a Red Oak order, they are the tier and its asset and submission limits, which model providers process content, whether the promise not to train on content can go into the agreement, and the security audits held across Red Oak and MirrorWeb.

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 465 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
November 10, 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.
© 2026 AI Legal Index
3801 N Capital of Texas Hwy, Ste E240 · Austin, TX 78746