Norm Ai vs Red Oak Compliance: how they compare in 2026

The agents are the product. Legal Engineers encode regulations and firm policies into decision trees written in Norm's own domain specific language. An agent works through the tree to decide whether content complies and, if not, why. Content review, questionnaire drafting and the compliance agent in Microsoft 365 Copilot all run on that agent layer. Norm Law, the firm Norm powers, delivers its legal work through the same platform. Without the models, what remains is a library of encoded rules with nothing to apply them.

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.

Each determination comes with an explanation tied to the rule that produced it. A reviewer can see why content was flagged and what would make it compliant. Because the reasoning path is the encoded regulation itself, a finding traces to a provision rather than to a retrieved passage. Questionnaire answers are cited to firm approved sources, and reviewers can jump straight to the supporting excerpt. Each answer is labeled as coming from the Answer Bank, generated by AI or needing action. Prudential's leaders describe accuracy close to 100% on the most important issues after calibration. That account gives no test set, sample or method, and Norm publishes no accuracy figure or error rate of its own.

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.

Agents do the first review and a person decides. At New York Life the agents give reviewers recommendations tied to several regulatory frameworks, and compliance professionals make the final decisions. Prudential's marketers screen content in Norm before it reaches compliance, and reviewers finish the check on the same platform. Questionnaire drafts move through the firm's own sign off by business unit, legal, compliance and management. Questions without enough support are flagged for a reviewer with the reason given. A change to an encoded rule needs review by a second certified Legal Engineer. Nothing published sets a point at which a content review agent stops, or says what follows when an approved item later proves 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.

Two named insurers describe their use. New York Life's compliance team uses Norm for sales and marketing review across several business units. Its chief compliance officer, Sandi Tillotson, is quoted in Norm's October 2025 announcement, and NYL Ventures is also an investor. Prudential's Director of Generative AI and its head of marketing strategy described their rollout in January 2026. Marketers screen content in Norm before compliance sees it, and the rollout began with the content most affected by generative AI. Prudential says its content volume rose five to ten times, and its remark on accuracy carries no method. Neither account gives a before and after figure for review time. Blackstone is named as a client of Norm Law.

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.

Norm's commitments here are security commitments. Customer data is encrypted in transit with TLS 1.2 or later and at rest with 256 bit encryption. Access follows least privilege with quarterly reviews, and an annual SOC 2 Type II audit covers the controls. No published term says whether customer content may train or improve models. Nor is there a statement on how one customer's material is kept apart from another's, or how privileged and work product material is handled. The privacy policy lets Norm use data to build and improve its Site and Services. The model providers that process inputs are named, though their retention terms are not. The platform reviews draft marketing, investor material and internal communications before release, so it holds content while a compliance problem is still private.

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.

Norm separates the software from legal advice by structure, and says so in writing. Norm Law's notices state that Norm Ai is a technology company and not a law firm, and that it gives no legal advice. All legal services come from Norm Law's licensed attorneys, under a services arrangement with Norm. An attorney client relationship with Norm Law begins only with a signed engagement letter. On the compliance side, agents make recommendations and compliance professionals decide. Norm Law is chaired by Mike Schmidtberger, formerly chair of Sidley Austin's executive committee, and Norm's experts include Troy Paredes, a former SEC Commissioner. Nothing published addresses a lawyer's competence or supervision duties when using the agents, or names 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.

Governance is built into how agents are made. Legal Engineers encode each regulation into a readable decision tree. A change to an encoded rule needs review by a second certified Legal Engineer. Every determination carries an explanation a lawyer can audit without reading code. Norm says its evaluation work ties agent performance to the quality, time and cost of the result. It also builds supervisory agents that monitor other AI systems against laws and policies. No evaluation results, named owner for model governance or AI management certification are published. Nothing addresses uneven output across content types or populations.

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.

Norm's trust center and security fact sheet cover most of the data ground. Data is encrypted in transit and at rest. The platform runs on cloud providers such as Amazon Web Services, with production isolated behind network segmentation and firewall rules. Access follows least privilege, with quarterly reviews, multifactor sign in for staff and SAML single sign on for customers. A written incident response plan commits Norm to contain an incident and notify affected parties as appropriate. Annual penetration tests and an annual SOC 2 Type II audit check the controls. The subprocessor list names Anthropic, OpenAI, Microsoft Azure and Baseten for model inference, and Reducto AI for document conversion. Retention procedures exist and customer data is deleted when a customer leaves, but no retention period is published.

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.

No customer agreement is published. The site terms of January 2024 govern the website and its content. They cap Norm's liability at $100 and disclaim the accuracy of site material. Use of the services is left to separate user terms that are not public. Nothing published says who carries the loss when a compliance determination is wrong, for example when cleared marketing later draws a regulatory finding. Norm Law carries its own professional responsibility as a law firm, which does not extend to the software.

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.

Norm works inside Microsoft 365. In Word and PowerPoint its agents review a draft in place. They flag missing disclosures, unsupported claims and policy conflicts, each tied to the text or slide concerned, so teams fix them without leaving the file. A compliance agent in Microsoft 365 Copilot reviews content, checks key facts against approved sources, answers policy questions and keeps an audit trail. Norm is listed on the Microsoft Marketplace. Questionnaires export back to their original format, or to PDF or Excel, with citations and version history. No connector documentation describes setup, what syncs or in which direction. No archive, CRM or document management connection is named.

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.

Norm is delivered as cloud software. Its security fact sheet says the cloud environments run on providers such as Amazon Web Services. Model inference runs through Anthropic, OpenAI, Microsoft Azure and Baseten. No hosting region, residency choice or tenancy model is published. Nothing separates where data is stored from where models process it. The buyers are regulated financial institutions, for whom data location is often a supervisory question.

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.

Norm completes an annual SOC 2 Type II audit against the AICPA Trust Services Criteria. Its trust center, run on Vanta, lists the SOC 2 Type II report, a SOC 2 bridge letter, a penetration test summary for the first half of 2026, a business continuity exercise letter and CAIQ responses. Each sits behind a request for access, and Norm says the reports are available to customers. The security fact sheet and the chief security officer's profile open without a request. No audit period, auditor or scope is shown in public, and no other certification is held. Norm says further certifications are on its roadmap.

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.

Norm's subprocessor list names the companies behind its models. Anthropic, OpenAI and Microsoft Azure supply language model infrastructure. Baseten hosts and runs models and processes the inputs sent to them. Reducto AI turns uploaded PDFs, spreadsheets and slides into text the models can read. The regulatory logic is Norm's own, encoded by Legal Engineers in its domain specific language, and a general purpose model executes against it. No model versions are named, and nothing says which provider serves which feature or where inference runs. No commitment to notify customers of a change is published.

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.

No price, plan or unit of charge is published. Norm's sites, Norm Compliance included, end in a contact form. Its Microsoft Marketplace announcement gives no price either. No free trial or self serve entry exists. The buyers are large regulated institutions, and every purchase runs through Norm's own team.

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.

Norm serves large regulated institutions, chiefly financial services and insurance organizations. It says its clients represent more than $35 trillion in assets under management. Chief compliance officers and their teams are the main users. Encoded sources include SEC, FINRA and CFPB rules alongside each firm's own policies. Workflows cover regulated content review in marketing, sales, investor relations and internal communications, along with due diligence questionnaires and RFPs. Supervisory agents monitor other AI systems. Legal advice sits with Norm Law, whose practice areas run from private funds and private equity to tax and to FINRA and New York financial regulation. No coverage outside the United States, segmentation by size or list of what the platform is not built for is published.

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.