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Red Points
Red Points is an AI brand protection platform that finds and removes counterfeit listings, fake websites, impersonating profiles, fraudulent ads and pirated content for its customers. Its models scan more than 5,000 platforms, including marketplaces, social networks, search engines, app stores, domains and mainland China platforms, using image, logo, packaging and text recognition trained on each protected brand asset.
It scores the seller behind a listing across more than 17 million seller identities. Enforcement runs through direct API integrations and more than 300 removal agreements with platforms, and every detection is logged and packaged as evidence formatted to the infringement type, platform and jurisdiction. The platform is sold in tiers from Starter to Enterprise across five programs, covering counterfeits, gray market and unauthorized distribution, brand impersonation, domain abuse and piracy, each charged as a flat fee for an agreed scope.
Services such as investigations, test purchases, IP registration and domain disputes can be added. Red Points reports more than 1,300 brand customers.
Red Points, head to head
Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.
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Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
Capability grades
All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
The vendor's Our AI page, modified 23 July 2026, says AI is no longer the tool but the operator, and describes a five layer system of autonomous agents, governed deterministic logic, engineers placed with customers, a brand knowledge layer and 2.7 billion data points analyzed monthly. Detection, prioritization, seller scoring and image matching are model work and would not survive without the models. The enforcement network would: more than 300 removal agreements, direct API connections with named platforms, priority reporting and escalation paths, the IP document repository and the case workflow would all still work. The models drive detection on top of a workflow and channel platform that would run without them.
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.
The product cites no legal authority, so the question is grounding and accuracy disclosure. Grounding is documented: every decision is logged with what was detected, why, what triggered it and what happened next; Vision AI shows the exact logos, patterns or products that triggered a match; and evidence is generated and formatted to each infringement type, platform and jurisdiction, so a reviewer sees the triggering item itself.
No measurement is published: no precision, recall, false positive rate, test set or third party validation, although marketing claims the AI eliminates false positives and that models are custom trained per asset and overseen daily. The published figures are economic: 10.3 times lower average cost per enforcement than analyst based models, and 12.6 full time equivalents of average capacity per brand protected.
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.
The control structure is stated, short of thresholds and remedies. Autonomous agents handle prioritization, tagging, enrichment, rule suggestion, documentation and reporting and, in the vendor's words, run the workflow rather than assist it, escalating to a person only when it is required. A governed tier of deterministic, fully auditable logic is reserved for validation, enforcement and legal ready evidence, the decisions the vendor says cannot go wrong.
Review tools include live and custom dashboards, per decision logs, generated evidence packages and a document repository, with a dedicated customer success manager and IP operations specialists named in plan tiers, and human in the loop oversight sold as a feature. The escalation threshold is never published beyond when it is required. Nothing found addresses what happens when the system is wrong: no remediation, appeal or withdrawal path for a legitimate seller's removed listing appears on any page read.
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.
Customers are named and tied to figures, but nothing is dated and no method is given. Named on the vendor's pages with titles: James Larson, VP and Deputy General Counsel of IP at Purple, with 4,700+ monthly enforcements; Satoru Ishiguro, Head of IP Division at Topcon, with $22M in infringements removed; Marta Benedetto, General Manager at FILA Italy, with 638,653 listings removed; Stephan Jacob, Founder and CGO at Cotopaxi, with 4,700+ fake websites removed and 130+ hours reclaimed in a quarter; and Jennifer Carman Parker, Manager of IP and Global Brand Protection at KEEN.
Kaspersky is shown with $1.6M in infringements enforced and Burton with 4,600+ fake websites removed, each with a case study page. Nothing explains how the $22M or $1.6M figures were valued. Gartner and G2 ratings are not deployment evidence.
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.
The clearest published statement on privilege is a disclaimer. The Legal Notice and Terms of Use says Red Points is not a law firm, its employees will not act as the customer's attorney, no attorney client relationship is created, and communications with Red Points, while covered by its Data Protection Policy, are not protected by attorney client privilege or the work product doctrine. An IP counsel sending infringement evidence and instructions into the platform has been told in writing that the exchange is not privileged.
The customer agreement is not published; services are agreed individually outside the site, so terms on training, retention, deletion and segregation cannot be read before signing. The Data Protection Policy, last updated July 2019, covers the website and marketing. The Security Policy states corporate security principles about the company's own communications. Confidentiality is asserted only in general terms.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
The published position on the advice line is full. The Legal Notice and Terms of Use says Red Points is not a law firm, does not provide legal advice, does not intend to practice law, and provides only self help services at the customer's specific direction; that it gives no advice, opinion or recommendation on legal rights, remedies, defenses, forms or strategies; that no attorney client relationship arises; and that the customer represents itself in any legal matter it pursues through the services.
It also says its published IP information is not legal advice and is not guaranteed correct, complete or current. Nothing addresses the competence and supervision duties of the lawyer who is often the buyer. The instrument is a website legal notice, not the service agreement, though its disclaimer speaks to Red Points' services and employees by its own words.
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.
What is published is an architecture claim, not a governance position. The Our AI page names a Governed AI tier described as deterministic, fully auditable and traceable across validation and enforcement, and says every decision is logged with what was detected, why and what triggered it. That is real product auditability. No accountable owner is named, no testing regime is described, no evaluation results are published, and there is no AI policy, model card, review board or framework.
Nothing addresses uneven output, though the system makes decisions about third parties: a validated detection removes a named seller's listing, and a Seller Risk Score labels a trading entity as a repeat infringer. No error rate, appeal statistic or analysis across seller types, categories or jurisdictions is disclosed.
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.
A generic privacy policy covers the company without saying what the platform does with the material it holds. The Data Protection Policy, last updated July 2019, covers the website, contact forms, newsletter, blog, cookies and advertising partners, demo requests, corporate email, social profiles and careers page, for answering queries, sending news and commercial prospecting. It keeps personal data as long as needed to answer a query or until consent ends.
For platform data, nothing addresses retention of detections, evidence, seller records or IP documents, deletion on termination, access controls, subprocessors or incident notification. That matters given operations in the United States, Spain and mainland China and an AWS deployment stated on the marketplace listing. Security is described only as all reasonable measures, with data sent over the internet traveling at the user's own risk.
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.
Liability is addressed only by a standard website limitation clause that does not reach the risk this product creates. The Legal Notice and Terms of Use disclaims responsibility for loss or damage from use of the site, for errors in site content, for downtime and for third party networks, and requires the user to hold Red Points and its suppliers harmless. By its own words it governs the site, not the platform. The service agreement is individual and unpublished, so no indemnity, cap, exclusion, warranty or insurance position can be read before signing.
The AWS Marketplace listing gives payment terms only: fees are due in advance, based on services purchased rather than usage, and are noncancelable, nonrefundable and not subject to setoff. Nothing addresses who bears the loss when a detection is wrong, which matters because a false positive removes a lawful seller's listing and revenue.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
Real integrations are named and described, short of documented depth. Direct API connections with Meta, Google and Bing are described as enabling immediate action and bypassing geographic restrictions. There are more than 300 removal agreements and more than 50 global platform enforcement relationships, covering more than 5,000 platforms including Amazon, Alibaba, eBay, Taobao, Walmart, Instagram, TikTok, Telegram, Douyin, WeChat, Little Red Book and Pinduoduo.
Customers log in at a dedicated application subdomain, Document Management holds the IP rights being enforced, and the product can be bought through AWS Marketplace. No developer or API documentation was found, nothing describes what syncs in which direction or what a customer must configure, and the platform relationships are commercial escalation paths rather than integrations an implementer could use. No integration with an IP portfolio, docketing or trademark management system was found.
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.
Cloud delivery is implied, and neither tenancy nor region is stated. The AWS Marketplace listing records the product as software as a service deployed on AWS, and an AWS qualified software mark appears in the site footer. Nothing states whether tenancy is shared or dedicated, which regions are available, where data is stored or processed, or what differs between tiers. The customer login host contains an eu-core segment, which suggests a European region but is not a residency commitment.
Offices are in New York, Barcelona, Beijing and Salt Lake City, with local teams for mainland China, which speaks to where people work, not where data sits. No data processing addendum, transfer mechanism or standard contractual clauses were found.
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.
Marks appear on the site with no scope, date or report. Every page footer shows a TUV certificate image and an AWS qualified software mark, with no text naming the standard, scope or period; the image could not be read, so what the TUV mark certifies is unknown. The footer also shows Google Trusted Copyright Removal Program member, Google Trusted Reporter and YouTube Certified Multi-Channel Network, which are program memberships, not security attestations.
No trust center was found. The Security Policy page states corporate security principles and names a Security Manager role, but no standard, control set, auditor, attestation or report, and it covers the company's own assets rather than customer data. No independent security attestation naming Red Points was found.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
The vendor refers to proprietary models without naming what sits underneath. The Our AI and product pages describe Vision AI models scanning logo, shape, packaging, text, color and known fake images at once; brand specific models trained on each protected asset; predictive models trained on 2.7 billion data points analyzed monthly; a Seller Risk Score across more than 17 million seller identities; an AI Copilot; and a decade of training described as a brand knowledge layer.
No model or provider is named, no architecture beyond ensemble visual matching is described, and no commitment to notify customers of changes was found. The AWS deployment on the marketplace listing is infrastructure and is covered under deployment.
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.
One price is published and the structure is described in depth. On its own AWS Marketplace listing, where Red Points is seller of record, a twelve month Professional Program covering three trademarks with marketplace and social media coverage and image protection is priced at $39,000. The vendor's pricing page sets out five programs, for counterfeits, gray market, brand impersonation, domain abuse and piracy, each with named tiers, and a feature comparison across Starter, Professional and Enterprise covering trademark counts, channels, managed service, dashboards and more than ten add-ons, each marked included, add-on or not available.
The charge is a flat fee scoped to channels, markets, brand count and reporting depth, with unlimited detections, takedowns and users in scope. Every tier on the vendor's site routes to Request Pricing, so the marketplace figure is the only number published, and it is not the entry rate, since Starter sits below it unpriced.
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.
Coverage is described in detail, and limits are only partly stated. Five program families are published. Channels are named platform by platform across marketplaces, social media, search engines, ads, mobile apps, domains, video platforms and AI shopping, and regions are North America, EMEA, APAC, LATAM and mainland China, with Chinese platforms listed individually. Buyer functions named on the pricing page are legal, brand protection, ecommerce, security and executive teams, and IP titles appear among the customer references.
The pricing material says Red Points works with mid market and enterprise companies, which tells a smaller brand it is not the intended buyer. Nothing states which infringement types or jurisdictions are out of scope or what the platform does not detect. Law firm segments and practice areas do not apply to a product bought by a brand owner's IP and brand protection function.
4 public documents
The public pages on file for Red Points, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.
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redpoints.com/our-ai5 signals
Primary Law Corpus Provenance, Good Law Verification, Refusal and Uncertainty Behavior and 2 more
Read Sep 12, 2026
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redpoints.com/data-protection-policy3 signals
Prompt and Output Retention, Third Party Request and Subpoena Notice, Outside Counsel Guideline Readiness
Read Sep 12, 2026
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Client Data in Training, Bar Guidance Alignment
Read Sep 12, 2026
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redpoints.com/pricing1 signal
Ethical Walls and Matter Segregation
Read Sep 12, 2026
$39,000 per year
- Red Points charges one flat yearly fee for an agreed scope of work, and inside that scope it finds and removes as many fakes as it takes.
- The one price published anywhere is on its AWS Marketplace page: $39,000 a year for the Professional Program covering three trademarks, marketplace and social media coverage, and image protection.
- This is the marketplace price for one specific package, not the cheapest plan; the Starter plan costs less and the price is not published.
- What you pay depends on how many brands, channels, markets and reports you need, not on how many fakes are found.
- Fees are paid up front and are not refundable.
One figure is published, with a detailed structure around it. The vendor's AWS Marketplace listing prices a twelve month Professional Program, covering three trademarks with marketplace and social media coverage and image protection, at $39,000. That is the lowest published rate but not a floor, because the Starter tier sits below it on the vendor's pricing page with no figure. The fee is flat and scoped up front, with unlimited detections, takedowns and users in scope and no charge per detection or takedown.
Scope is set by channels, markets, number of brands and the level of seller intelligence and reporting. Five programs are priced separately, for counterfeits, gray market, brand impersonation, domain abuse and piracy, and the counterfeits and gray market programs compare Starter, Professional and Enterprise line by line, including more than ten add-ons such as investigations, test purchases, UDRP and trademark registration.
Every tier on the vendor's site routes to Request Pricing. Marketplace payment terms: fees due in advance, based on services purchased rather than usage, noncancelable, nonrefundable and not subject to setoff.
Confidentiality and data terms: No customer agreement, data processing addendum or subprocessor list is published on any surface located. The Legal Notice and Terms of Use states that any provision of services is formalised individually through channels outside the site, so the confidentiality and data terms are negotiated rather than published, and the only contractual language available to a buyer in advance is the payment and refund wording reproduced on the vendor's AWS Marketplace listing.
Note: Figure read from the vendor's AWS Marketplace listing on 12 September 2026, where Red Points is the seller of record and the listing copy and payment terms are its own. Structure read from the vendor's pricing page, modified 2 September 2026. Two competitor comparison pages with pricing claims about Red Points were found; neither is used as a source for a figure.
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
No customer agreement, terms of service or equivalent contract is published on any surface located, and no policy page states a position on training. Nothing is granted and nothing is withheld, so a client has no term to hold the firm to. Where a policy page does state a position, the row takes the matching policy value instead and the summary records that no agreement exists.
No customer agreement is published, and no policy states a position on training either way. The Legal Notice and Terms of Use covers the website and says services are agreed individually, outside the site, so the terms that would answer this are unpublished. The Data Protection Policy, last updated July 2019, covers website and marketing data and says data will not be used beyond the purposes it lists; that does not reach brand assets, product images, trademark records or detection data in the platform.
The Security Policy names no data use. The AWS Marketplace listing's payment terms refer to a Scope of Services, showing that a written agreement exists without publishing it. Nothing is granted and nothing is withheld, so a client has no term to hold the brand owner to.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
No located public material states how long prompts and outputs are retained.
No published material says how long the platform keeps what a customer puts in or what it generates. The only retention language is in the website Data Protection Policy and covers inquiry and marketing data: personal data is kept as long as needed for a query or until consent ends, with some kept for legal, regulatory, statistical or historical purposes and anonymized when no longer needed. Nothing covers the brand's uploaded trademark records and catalog images, the detection and evidence record, Seller Risk Score history or the enforcement audit trail.
Document Management is published as a place to store the IP rights being enforced, but no period, customer control, zero retention option or deletion commitment on termination is stated.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
No located public material addresses walls or matter level segregation.
No located public material addresses segregation between users, brands or matters. What is published bears on the question without answering it: the pricing tiers include unlimited users within an agreed scope, live and custom dashboards, and Document Management as a shared store of the customer's IP rights, and the Enterprise tiers add five to ten custom dashboards, so a multi-brand or multi-entity customer is plainly contemplated.
Nothing states whether one brand's detections, evidence or seller intelligence are separated from another's inside a customer account, whether roles or permissions exist, or how access is enforced. The Security Policy speaks to the company's own personnel and assets rather than to a product permission model, and no agreement is published in which a segregation term could sit. Recorded as of 12 September 2026 on the surfaces named in the build log.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
No located term or policy addresses third party requests for customer data.
Nothing found addresses third party requests for customer data. The website Data Protection Policy says Red Points will not give users' personal data to third parties and that, if it decides to, users will be told in advance and asked for consent. That covers website and marketing data and voluntary sharing, not a brand's material in the platform or compelled disclosure: no page read mentions a subpoena, court order, law enforcement or other legal process, and there is no transparency report.
The policy says data may be kept to assert the company's own claims in court. No customer agreement is published, so any notice clause it holds could not be read. Recorded as of 12 September 2026.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
No body of primary law is identified, because the product does not answer from one. Its sources are published in outline: 2.7 billion data points analyzed monthly, more than 17 million seller identities, behavioral signals across platforms, investigation evidence, trend capture, and the customer's own trademark and design registrations in Document Management. Evidence is formatted to each infringement type, platform and jurisdiction, but nothing says where those jurisdiction requirements come from or how they are maintained, or on what basis the detection data is collected or licensed. The source material is marketplace and seller data rather than case law, and it is not identified.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
The product cites no legal authority, so nothing located addresses checking subsequent history, and nothing would be expected to. The currency mechanisms it does publish are about threats rather than authority: continuous rescreening as new sellers and listings appear, a quarterly discovery audit of infringing platforms beyond a plan's scope, and live capture of new evasion trends.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The vendor describes refusal or abstention behavior in public materials.
The vendor describes handing uncertain cases to people, without any demonstration. The Our AI page says autonomous agents run the high volume work and escalate to a person only when required, and separates that tier from a governed tier for validation, enforcement and evidence generation, the decisions the vendor says cannot go wrong. The vendor's brand protection guide adds that human experts review complex edge cases to prevent false positives and protect authorized sellers.
No threshold, escalation rate or evaluation is published, and other material claims the AI eliminates false positives, which is an accuracy claim rather than a description of abstention.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
Searched on 12 September 2026, by product name and company name, against published trackers of AI hallucination decisions, including coverage of the Charlotin AI Hallucination Cases database, for court records on fabricated or hallucinated legal citations in this product's output. None located. This reflects the public record on that subject as of that date and does not cover enforcement or takedown litigation.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
No published material engages with bar or ethics guidance. The Legal Notice says Red Points is not a law firm, its employees will not act as the customer's attorney, it gives no legal advice, does not intend to practice law, and provides only self help services at the customer's direction. That disclaims legal practice but does not engage the guidance a lawyer buyer must follow: nothing addresses ABA Formal Opinion 512, any state bar opinion on generative AI, or the duties of a supervising attorney whose enforcement program runs on the platform. Recorded as of 12 September 2026.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The product does not touch a fee between a lawyer and a client. It operates before an engagement exists, or it is bought by a team that bills no client for the work. Savings claims aimed at the buyer’s own cost are recorded in the summary and do not make the row a savings claim, because no client bill is in the loop.
The product does not touch a fee between a lawyer and a client. A brand owner's IP, brand protection or legal function buys it to enforce the company's own rights, and no client is billed for the work it does. Published savings claims target the buyer's own cost: 10.3 times lower average cost per enforcement than analyst based models, 12.6 full time equivalents of average capacity per brand protected, 130+ hours reclaimed in a quarter at a named customer, and a flat fee sold as removing analyst hours.
Two related fee arrangements exist: the Revenue Recovery Program is described as zero cost litigation recovering funds from infringing sellers, reported at more than $20M to date, and IP registration, UDRP and domain dispute resolution are sold as add-on services. Legal work is billed alongside the platform, but not as AI assisted time charged to a client.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
No located public material supports a client side disclosure obligation. No subprocessor list, no model provider statement, no data processing addendum and no consent or notification pack was found on any surface read, and no customer agreement is published from which an annex could be forwarded. The Data Protection Policy states only that Red Points requires trusted third parties handling personal data to protect it by contract, without naming any of them, and the vendor operates in the United States, Spain and mainland China with an AWS deployment stated on its marketplace listing, none of which is reconciled into a processor list.
A firm asked by its client to evidence this vendor under an AI or data clause would have nothing published to forward. Recorded as of 12 September 2026.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of the record are available, short of a document level export.
Parts of a record are published, built for platform enforcement rather than court disclosure. The Our AI page says every decision is logged with what was detected, why, what triggered it and what happened next, that legal ready evidence is generated and formatted to each infringement type, platform and jurisdiction, and that it is filed to multiple agents at once. Vision AI shows the exact logos, patterns or products that triggered a match, and Document Management holds the IP rights being enforced.
That is a per incident, exportable evidence record. Nothing says the record identifies which model or classifier made the call, what it retrieved, or which named person verified it before filing, and no disclosure template or court guidance was found.