Alt Legal vs Corsearch: how they compare in 2026
Alt Legal and Corsearch serve trademark practice from opposite ends of it, one a docketing platform priced by matter and one a clearance and brand protection incumbent with analyst services attached. The difference between them is mostly what each publishes about itself rather than what each does. Alt Legal publishes four price tiers against a stated unit of docketed matters. It states in its own terms that it does not act as a law firm or as a substitute for a lawyer's advice. It also describes exactly what leaves its infrastructure when the AI assistant runs: the query, the system instructions and structured filtering data, with customer records staying inside its environment and logged data never used to train. Corsearch answers on scale. It states coverage across 190 registries and more than 1,100 screening databases, separates phonetic, semantic and visual similarity as analytical dimensions, and sells oversight as a choice between automated and expert watch.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
One shipped feature uses machine learning: the AI Filtering Assistant, a natural language query tool that populates report filters from a typed request such as patent filings in the EU from the last 90 days. The other features Alt Legal calls intelligent claim no model. The Goods and Services Composer is described as an intelligent drafting tool, but its published mechanism is search and reuse over the USPTO ID Manual and two million registered marks, with snippet libraries, deduplication and fee calculation. Automated docketing, the core of the product, is rule driven date calculation against official IP office data. Alt Legal states plainly on the AI page that it does not train or host its own AI models, and the docketing platform's value stands entirely without the assistant.
A long established trademark search and services business with a substantial AI layer built onto it. Corsearch predates generative AI by decades and its underlying assets are a data operation across 190 registries and more than 1,100 screening databases plus a professional analyst workforce, both of which function without models. TrademarkNow was relaunched in May 2024 with advanced AI, which dates the model layer as an addition rather than a foundation. The AI is nonetheless real and technically specific: phonetic, semantic and visual similarity analysis, an image recognition engine for logo and industrial design search, AI name generation, risk scoring, and an AI that blocks non compliant marketplace listings before publication. Remove the models and Corsearch remains a working trademark search and brand protection business staffed by analysts. Same placement as PatSnap and Lexis+ AI, and for the same reason: a mature platform hosts the model layer rather than depending on it.
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 Composer page promises better ID Manual compliance and accuracy, and the AI page says queries and AI responses are logged to monitor quality and reliability, but no accuracy figure, test set, error rate or failure mode is published. The product retrieves no primary law and generates no citations, so grounding to authority does not arise. The relevant failure is a misread filter that returns an incomplete docket report. The assistant fills in visible filters in the report the user already has open rather than returning an opaque answer.
The similarity method is named at a technical level, and nothing measured is published. The vendor states that matching evaluates phonetic, semantic and visual similarity, and that industrial design search uses sophisticated similarity algorithms, which describes the basis of a match rather than asserting accuracy generically. Risk scoring gives a scaled result rather than a yes or no answer. There is no precision or recall figure for similarity matching, no false negative rate on clearance search, and no evaluation, benchmark or test set. That matters because the failure in clearance is a miss rather than a fabrication: a confusingly similar mark that the search does not return produces a clearance opinion that is wrong and looks complete. The vendor also says automated watch delivers efficient monitoring without sacrificing accuracy, with no figure attached.
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 AI feature runs only when someone types a query, and it changes filters rather than acting on a matter. The one published control is administrative: the AI page states that the assistant can be enabled or disabled according to a customer's IT and security preferences. Nothing states what a user should check before relying on the output, and no review point is described. The nearest thing is a term in the customer agreement placing responsibility for reviewing the accuracy of all output on the customer and its authorized users, which allocates the duty without describing a mechanism for discharging it.
The oversight model is a purchasable product option, which makes it inspectable. Watch is offered in two named configurations: Automated Watch using AI for efficient monitoring across expanding portfolios, and Expert Watch providing bespoke strategies and focused insight for more complex, high value matters. A customer chooses the level of human involvement according to the stakes of the matter, and the vendor states the trade off openly. The same structure runs through Brand Protection, described as combining AI detection with deep IP expertise and a team of experts. The mechanics are not published. Nothing states what triggers escalation from automated to expert review within a service, what an Expert Watch analyst checks or against what standard, or any confidence threshold on AI generated notices. Nor is there any account of what the listing blocker does unattended when it wrongly flags a legitimate listing.
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.
The Nolte Lackenbach Siegel study names the firm, its managing partner Renee Duff and its trademark paralegal Kim Hassiak, and describes a portfolio of nearly 7,000 active USPTO matters and nearly 6,000 international matters at a firm it identifies as a top ten US trademark filer. It also describes the merger and the failure of a legacy system that drove the migration, and the specific features the team uses. Further named practitioners appear across the site with firms and titles, including Rosie Burbidge at gunnercooke and Hillary Schroeder at Name Game IP, against a portfolio claim of 2,000 law firms and legal departments. No study provides a before and after figure: the numbers describe portfolio scale rather than what changed, no study carries a publication date, and none of the evidence is attributed to the AI feature.
Original research and named executives are published, with customers quoted but not identified. The strongest element is research rather than testimonial. The vendor publishes trademark volume figures to the individual mark, reporting 83,613,385 active trademarks at the end of 2023 against a forecast of 100,720,928 by 2026, a claim derived from its own data that anyone can check against registry records. Named executives appear with titles: Simon Baggs as Executive Chairman and Matteo Amerio as President of Brand and Content Protection. Customer voices are extensive and mostly anonymous, with one named individual, Andy S. Ehard, quoted without an organization. No customer organization is named anywhere in the material located, and no case study with a method exists. Every performance figure is an up to claim without baseline, sample or period: 40 percent faster clearance, 50 to 70 percent less watch review time, and notice turnaround 75 percent faster than unnamed other industry solutions.
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.
Alt Legal's AI page says only the query, system instructions and structured filtering data are sent to the model, and that customer records and portfolio data stay within Alt Legal's infrastructure. It adds that the AI provider stores no prompts or responses and that logged operational data never trains models. A contractual confidentiality regime sits behind it. Section 3.1 of the terms defines the customer's confidential information to include information about legal or business affairs, clients and other non public data. Privilege and work product are not addressed, and the separate Alt Legal Assist agreement says expressly that Alt Legal cannot give an opinion on privilege. Nothing addresses separation between matters or users inside a firm.
Nothing is published, and the omission is material for this product class. A trademark clearance search and the opinion built on it are classic attorney work product. A clearance report showing that a risk was identified before adoption is the document that becomes contested in later infringement litigation, where it bears on willfulness. Nothing published addresses attorney client privilege, work product, or the confidentiality of a search report beyond a statement that reports can be stored safely within the platform. Conflicts are equally unaddressed. The vendor performs clearance for many brand owners across the same classes and markets, so a search run for one client concerns marks owned by others who may also be customers, and nothing published describes what separates them.
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.
Section 2.3 of the terms says Alt Legal does not act as a law firm or lawyer or as a substitute for a lawyer's advice, and that nothing about the platform is intended to create an attorney client relationship. The Alt Legal Assist agreement repeats this for the paralegal service and adds that Alt Legal cannot give an opinion on privilege or confidentiality. Nothing engages with ABA Formal Opinion 512 or state bar guidance, and nothing addresses a supervising lawyer's competence and supervision duties over the software or the outsourced paralegals. No jurisdiction limit is stated for a product used across more than 180 IP offices.
Not located. The product generates trademark risk assessments and clearance results that in house counsel and outside advisors rely on to decide whether a brand can be adopted, and the vendor describes the TrademarkNow range as do it yourself tools, which means non lawyers in marketing and brand functions are an intended user population making risk decisions on generated output. Nothing published states that output is not legal advice, addresses when qualified counsel should be involved in a clearance decision, or engages any professional conduct framework.
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.
No responsible AI statement, governance framework, named owner for AI decisions, testing regime before release, or anything on bias or uneven output is published. The AI page's Security and AI Infrastructure section covers data handling and access control, a different subject. Alt Legal says it does not train or host models, which partly explains the absence since it makes no model level decisions. Nothing says what is tested before releasing a feature that reads across a firm's whole docket.
Nothing is published about how the models are governed, evaluated or monitored. No AI policy, model card, bias or fairness testing, evaluation methodology, accuracy monitoring, drift statement, named governance body, ISO 42001 or EU AI Act positioning is published. The last is notable for a company with London operations and a stated European presence. The vendor publishes substantial commentary on AI in brand protection, including a webinar on the hype and reality of AI generated fakes, which treats AI as a subject affecting its customers rather than disclosing anything about its own systems. One capability makes the absence pointed. An AI that blocks noncompliant listings before publication makes automated decisions affecting third party sellers who are not customers and cannot see the model, and nothing published addresses how those decisions are governed or appealed.
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.
Alt Legal's GDPR page states TLS 1.2 or higher in transit, encryption at rest described as SHA 256 with 2048 bit keys, backups at least daily, annual staff privacy training, completed data mapping and privacy impact assessments, and documented incident response procedures. It describes a deletion route once processing is complete and retention duties are met, and acknowledges Alt Legal's role as a data processor for GDPR customers. For the AI feature, access to logged queries and responses is limited to authorized engineering and security staff. No subprocessor list is published; it is available only by emailing the team. No retention period is stated, and no breach notification commitment is published. The GDPR page was last modified in May 2022.
No stewardship position located. Nothing states whether customer search queries, candidate brand names, portfolio data or uploaded logo images are used to train or improve models, no retention period is published, and no deletion right is described. The nearest statement is that the platform is secure so reports can be stored safely within it, which describes storage as a product feature rather than a stewardship commitment. The sensitivity here is commercial rather than personal and is acute: a search for an unlaunched brand name or an unpublished logo reveals a company's product strategy before announcement, and a competitor learning what names a rival is clearing would gain a real advantage. One published capability sharpens the question, being that insights are stated to continuously improve detection accuracy, which implies customer derived signal feeds model improvement without stating whose data or on what basis.
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.
Section 5 of the terms caps Alt Legal's liability at the fees paid in the six months before the claim arose, and excludes special, indirect, incidental, punitive and consequential damages along with lost profits and attorneys' fees. The platform is supplied as is with warranties disclaimed, and the customer and its users are solely responsible for checking the accuracy of everything they enter and any output the platform generates. Users also waive rights of setoff and counterclaim other than compulsory ones. No indemnity to the customer, warranty on output or insurance position is published.
No published position is published. Nothing was found on liability for AI output, warranty, service levels or remedy. The exposure is commercial and quantifiable: a clearance search that misses a confusingly similar prior mark leads to a brand launch that must later be abandoned or defended, with rebranding costs and infringement exposure following. A published customer quote states that no oppositions have been filed against rights searched or cleared by Corsearch, which is an outcome claim rather than a commitment about what happens when one is. On the brand protection side, an AI blocking a legitimate listing before publication imposes a cost on a third party seller with no described recourse.
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.
TEAS integration for USPTO filing heads the list on Alt Legal's pricing page, with calendar sync for deadlines, docket access for clients and third parties, intake forms and data from more than 180 IP offices. The Nolte case study describes a link to Smartsheet that Alt Legal's support team helped build at no extra fee. No integrations directory, API reference or developer documentation is published, and no connection to a document management system such as iManage or NetDocuments is named. The IP office connections supply the product's data rather than connecting it to the systems where a firm's other work lives.
No integration is published. No trademark docketing system, IP management platform, portfolio management system or document management integration was named, and no API or export documentation was found. The gap is material for trademark practice, since renewals, deadlines and portfolio records live in a docketing system and a clearance or watch result has to reach it. The vendor describes results as visible across teams and reports as storable within the platform, which is internal collaboration rather than integration with a customer's existing systems.
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.
All AI processing takes place in a private US based cloud environment, Alt Legal's AI page says, and customer records and portfolio data do not leave the company's controlled infrastructure. The privacy policy adds that personal data may be transferred to and stored outside the EEA, including in the United States, and the GDPR page identifies Alt Legal, Inc. as a Delaware corporation based in the US. No tenancy model is described, no region options are offered, and no EU or UK hosting option is mentioned despite a London office and European customers.
Nothing located. No hosting provider is named, no region or data residency commitment is published, and no deployment options are described. The vendor operates internationally with London named in its press material and serves customers across global markets, and nothing states where search queries, candidate names or portfolio data are processed or stored. For a European customer clearing a brand name, the residency question engages data protection obligations and, more practically, the confidentiality of an unlaunched product name.
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.
No independent security attestation is published. There is no trust portal, badge, named auditor or report request route, and no SOC 2 or ISO 27001 report naming Alt Legal is published. The GDPR page describes security practices in specific terms, including transport security, encryption, backup frequency and incident response, but a vendor's description of its controls is not an independent attestation.
No certification, attestation or security documentation of any kind is published. Searches combining the vendor name with ISO 27001, SOC 2, GDPR certification and trust center terms returned only generic articles about those standards and no result specific to Corsearch. No trust center, security page, named auditor, penetration testing partner or examination date was found. The only security statement located is that the platform is secure so reports can be stored safely within it, which names no standard and cannot be verified. The artifact is absent rather than gated. This is recorded as an absence across the pages and searches actually run rather than as a certainty.
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.
Alt Legal's AI page says it uses a secure enterprise AI platform for the assistant, does not train or host its own models, and processes in a private US based cloud. It says the AI provider does not store prompts or responses and does not use customer data for training, advertising or profiling. Every one of those facts describes the relationship, not the counterparty. No model, model family, vendor or version is identified, and no commitment to notify customers if the provider changes is published. A firm asked by a client which model sees its docket queries cannot answer from published material.
Nothing located. No foundation model provider, model family or version is named, no distinction is drawn between proprietary and third party models, and no subprocessor list was found. The vendor describes award winning AI, image recognition engines and similarity algorithms, all of which characterize capability rather than provenance, and nothing states whether any external model processes customer queries, candidate brand names or uploaded images.
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.
Four tiers have prices against a stated unit of total docketed matters: up to 50 matters at $60 a month, up to 100 at $100, up to 200 at $195 and up to 400 at $295. The optional Trademark Protection module is priced alongside at $30, $40, $60 and $95. The page's FAQ defines a docketed matter as a distinct trademark, patent or opposition filing. Implementation is answered directly: no setup fee, free bulk data migration done in about a week, and unlimited support and training, with unlimited users on every tier. Above 400 matters the page invites contact, so the larger portfolios in the vendor's own case studies, one with nearly 13,000 live matters, are unpriced. The page's meta description still advertises a $50 starting price against a table that shows $60.
No pricing published at any level. No price, no range, no tier structure and no unit of charge, and no indication of how the platform prices relative to the expert services sold alongside it, which is the structural question for a vendor selling both software subscriptions and analyst delivered watch and brand protection work. A trial is referenced on the TrademarkNow marketing surface, which lowers the barrier to evaluation without disclosing cost. Every route ends in a contact or 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.
Trademark practice is what Alt Legal is built for. The Nolte case study describes that firm keeping patents on a separate patent system while trademarks run on Alt Legal, calling it a best in class split docket, and the CEO has published an article arguing for that approach. Supported matter types also include TTAB oppositions and cancellations, copyrights, disputes, licenses, patents, state registrations and custom types, across more than 180 jurisdictions. Buyers range from solo practitioners through boutique firms to in house departments, with a separate track for law schools and students. Practice area boundaries are stated, but segment boundaries are not: no firm size floor or ceiling is given, and government use is not addressed.
Coverage is enumerated with counts, modalities and specialist verticals. Registry and database coverage is stated numerically: 190 global registries, more than 1,100 global screening databases, and insights drawn from more than 1,000 sources. Phonetic, semantic and visual similarity are named as separate dimensions, with a dedicated image recognition engine for logos and a separate industrial design search engine. A practitioner can therefore tell that word marks, device marks and registered designs are each addressed, rather than assuming one search covers all. Corsearch Pharma extends coverage into regulatory drug name checks alongside trademark clearance, a distinct workflow. Brand protection coverage extends across marketplaces, gray market channels and content categories including books, gaming, music and film. A buyer can check scope against their own marks, classes and jurisdictions from published material. No jurisdiction list is published behind the 190 registry figure, and no update lag or refresh frequency is stated.
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?
The AI Filtering Assistant page makes the commitment twice, once for the external provider in the quoted line and once for Alt Legal itself, stating that logged operational data is never used to train AI models. It also limits what reaches the model at all, saying only the query, system instructions and structured filtering data are sent while customer records and portfolio data stay inside Alt Legal's infrastructure.
No matching prohibition in the customer agreement has been found, so the commitment sits on a product page rather than in a contract.
Silent. The quoted phrase is the only data handling statement located and it describes storage as a product benefit rather than addressing use. No statement in either direction was found on whether customer search queries, candidate brand names, uploaded logo images or portfolio data are used to train or improve models. One published line makes the silence more consequential than usual: the vendor states that insights continuously improve detection accuracy and long term platform protection, which implies that signal derived from use feeds model improvement without stating whose data, on what basis, or whether customer content is included.
The sensitivity here is commercial rather than personal: a search for an unlaunched brand name discloses product strategy before announcement. Recorded as silent, not as a negative commitment. Checked the trademark solutions pages, the screening page, the TrademarkNow page and the site navigation on 29 Aug 2026.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is split between the two parties and only one half is answered. The provider stores nothing, per the quoted line. Alt Legal itself does retain material, stating that it logs limited operational data such as queries, AI responses and performance metrics to monitor quality, reliability and security, with access restricted to authorized engineering and security personnel. No period is stated for those logs, no customer control over the window is described, and no zero retention option is offered.
Retention has no stated limits. No retention period is published for search queries, generated risk assessments, watch notices or stored reports, and no deletion right is described. Retention is presented as a feature rather than a policy, with reports stored within the platform for later access, and nothing states for how long, under what terms, or what happens on termination. For clearance work the stored report is the sensitive artifact, since it records which names a company considered and rejected.
Checked the trademark solutions pages, the TrademarkNow page, the platform logins page and the site navigation on 29 Aug 2026.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Neither the AI Filtering Assistant nor the wider docketing product, as described on the home, Composer, pricing and GDPR pages and in the Nolte case study, offers ethical walls or segregation at matter level, and nothing shows whether the assistant respects access restrictions for each user when it queries across a firm's docket. The assistant is described as searching across all of a user's matters, and the only access control published is an administrative switch that enables or disables the feature for the organization as a whole.
Separation between customers is undescribed, and the question is sharp for this vendor. Corsearch performs clearance and watch for large numbers of brand owners at once, so a search run for one client returns and analyzes marks owned by others who are themselves customers. Watch services monitor new filings on behalf of parties whose interests directly conflict. Nothing published describes what separates one customer's searches, candidate names and portfolio data from another's, whether analysts delivering Expert Watch for one brand owner work on matters adverse to them, or what governs staff access across the services business.
The vendor states that results are visible across your teams, which is collaboration within a customer and not a boundary between customers. No permission model or segregation description of any kind was located. Checked the trademark solutions pages, the watch page, the screening page and the site navigation on 29 August 2026.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The quoted commitment comes from the Alt Legal Assist terms, which govern the paralegal service rather than the docketing platform. On receiving a judicial or government order to disclose the other party's confidential information, the receiving party must give notice and a fair chance to contest the order, where the law allows. No transparency report is published.
Third party demands meet no stated process. No government or law enforcement request clause, no commitment to notify a customer before producing their data, and no transparency report were located. The vendor holds pre launch brand names, unpublished logo designs and clearance histories, which are commercially sensitive and would be of interest in a dispute, and it also operates enforcement services that involve identifying and acting against third party sellers, which puts it in contact with platform operators and potentially with authorities.
Nothing published addresses any of it. Checked the trademark solutions pages, the brand protection pages and the site navigation on 29 Aug 2026.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The product does not retrieve case law or statutes, so its source material is registry data, and that is named specifically: the full USPTO ID Manual and about two million live registered marks in the Goods and Services Composer, and filing data from more than 180 IP offices for docketing. The Composer is said to stay in sync with current USPTO acceptable language across all 45 NICE classes. No license, rights basis or public domain statement is given for any of it, and the arrangements for offices outside the US are not described.
Sources are named by count and type, with no licensing basis stated. Coverage is quantified precisely: 190 global registries, more than 1,100 global screening databases, and insights from more than 1,000 sources, and the vendor separately publishes active trademark totals to the individual mark. Registry data is public, but common law and unregistered rights sources, company name registers, domain data and commercial screening databases are typically licensed or proprietary.
A set of more than 1,100 databases plainly extends well beyond the 190 registries. Nothing states which sources those are, on what basis they are held, or what update lag applies to any of them. That matters because a clearance search against stale data is a false negative waiting to surface.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No citator applies, because the product does not return legal authority whose subsequent history could be checked. The nearest analog is status tracking rather than treatment: docketing pulls live status changes from IP office records, so a registration's current standing is maintained automatically, but that is registry currency rather than a good law signal.
The vendor tracks trademark status itself. The trademark analog of a currency check is status: whether a cited mark is live, abandoned, canceled, expired or under opposition, because a clearance search that treats a dead mark as a blocker is as wrong as one that misses a live one. Status is a core attribute of this product rather than an optional layer. The vendor publishes active trademark counts to the individual mark and forecasts them, and its Analyze function surfaces active trademark owners in the market.
Portfolio Analyzer creates and verifies portfolios, and Watch monitors new filings and changes affecting registered rights, with a stated 75 percent faster notice turnaround. No citator or status authority is named as a source, nothing describes how status is determined or how current it is, and no explicit claim is made that dead or canceled marks are flagged as such in results.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
A query the AI Filtering Assistant cannot parse or cannot satisfy has no described handling, whether on the assistant's own page, the home page or the pricing feature list. No abstention path, confidence indicator or error behavior is published. The assistant populates visible filters in the report rather than returning a bare answer, which gives the user something to check, but Alt Legal does not describe this as an uncertainty mechanism.
Uncertainty handling is undescribed, and the risk score is a different thing. NameCheck is stated to give a clear picture of trademark risk in seconds, and the platform provides risk scoring. That scores the legal risk of a candidate mark rather than the model's confidence in its own retrieval. A mark can be scored low risk because nothing similar exists, or because the search failed to find what does. Nothing published describes what the system does under uncertainty, whether a low confidence match is flagged, whether an ambiguous phonetic or visual similarity is surfaced for human review, or whether Automated Watch will escalate a notice it cannot classify. In clearance the failure is a silent miss, and this question is left unanswered.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database maintained by Damien Charlotin at HEC Paris, along with 2026 sanctions trackers and trade coverage, records no court order, opinion or disciplinary record naming Alt Legal, which is both the product and company name. This is a statement about the public record rather than a finding about the product. The AI feature builds report filters over a firm's own docket and generates no citations to authority.
None located, with the instrument named. General web searches combining the vendor and product names with court, order, sanction, negligence and clearance terms returned nothing on 29 Aug 2026, and no named docket database, trademark office record system or court record tracker was searched. Recorded as a statement about what this search found, not as a clearance. The exposure shape is distinctive: this product generates no citations to legal authority, so the analogous adverse finding would be a proceeding addressing reliance on a defective clearance search, which would surface as trademark infringement litigation where the adequacy of a clearance opinion is contested rather than in a sanctions order.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No engagement with ABA Formal Opinion 512 or any state bar guidance on generative AI appears on the home page, the AI page, the events and CLE pages or the blog index. Alt Legal publishes a substantial professional education program, including accredited CLE, a webinar series on trademark law topics and a paralegal course and community, but none of that material addresses the ethics obligations attaching to a lawyer's use of AI.
Counsel's professional duties go unaddressed. No named ethics opinion, no USPTO Rules of Professional Conduct reference, no bar guidance and no engagement with professional conduct rules was located. This is despite an extensive content library of webinars and analysis aimed at in house counsel and outside IP advisors. That material addresses market trends, enforcement strategy and AI in brand protection without reaching the professional duties of the counsel relying on its output.
Checked the content library, the trademark solutions pages, the blog material and the site navigation on 29 August 2026.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Billing and client disclosure of AI assisted work get no guidance from Alt Legal, across its AI page, pricing page, Nolte case study and blog. Alt Legal does discuss fees elsewhere, describing custom tags used to distinguish which clients are billed for which tasks and noting that clients are not billed for checking the docket themselves, but that is client billing administration rather than the fee treatment of AI assisted work. No record of what the assistant did on a given matter is described.
Savings claims only, quantified across three distinct workflows. The vendor publishes clearance timelines reduced by up to 40 percent, watch review time cut by 50 to 70 percent, and notice turnaround 75 percent faster than other industry solutions. A customer statement adds that TrademarkNow drove a 40 percent lift in an IP legal team's delivery speed for brand name clearance. The three workflows carry different figures, which is more granular than a single headline, and none carries a baseline, sample, period or identification of the other solutions compared.
Nothing appears on the client's side: no position on how AI assisted clearance work should be billed by a firm to its client, and no exportable record showing what portion of a clearance search or watch review was machine performed. Checked the trademark solutions pages, the clearance and watch pages and the press material on 29 August 2026.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The GDPR page states that a customer wanting details of Alt Legal's subprocessors or a copy of its data protection agreement can obtain them by emailing the team, calling, or using live chat, and says the vendor regularly reviews its vendor agreements and data protection agreements. Both documents therefore exist and neither is published: they sit behind a human request rather than a self serve portal or download. A firm could not assemble a client facing AI disclosure from public material either, since the model provider behind the AI feature is not named anywhere.
Client disclosure material is absent. No trust center, security page, named certification, subprocessor list, named model provider, data processing agreement or route to request documentation was located. A firm has nothing it could forward to a client and no destination to point one toward. Checked the trademark solutions pages, the platform logins page, the about section and the site navigation on 29 August 2026.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Reporting in the product, as the assistant page, pricing feature list and home page describe it, produces no AI use disclosure or verification certification. No export for each document or matter covering which queries were run, what the assistant returned or who reviewed it is described. The obligation is a poor fit for this product, which builds docket reports rather than court filings.
A partial record exists, and the forum question differs here. A clearance search report is the artifact that surfaces in later infringement litigation, where what a brand owner knew before adoption bears on willfulness and enhanced damages. The question is therefore what the search recorded and whether it can be produced years later. On that point the product does something: reports are stored within the platform and remain retrievable, and results are visible across teams.
A customer quote states that no oppositions have been filed against rights searched or cleared through the vendor. Nothing indicates that output records which model produced a similarity assessment or when. Nothing captures a record showing that an analyst or attorney reviewed a result, and nothing states which databases were searched on a given date, which is what a party defending the adequacy of its clearance would need to show.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- AI Governance and Bias Disclosure
- Security Certifications and Trust Center
- Ethical Walls and Matter Segregation
- Refusal and Uncertainty Behavior
- Bar Guidance Alignment
Which one fits
Choose Alt Legal if
- You want the bill to follow the docket. Alt Legal publishes four tiers against a stated unit of total docketed matters, at 60 dollars a month up to 50 matters, 100 up to 100, 195 up to 200 and 295 up to 400. The trademark protection add on is priced alongside each. Every tier includes unlimited users, no setup fee, free bulk data migration and unlimited support and training.
- You need to tell your client exactly what leaves the building. Alt Legal's AI page states that only the query, the system instructions and structured filtering data are sent to the model, and that customer records and portfolio data do not leave its controlled infrastructure. It adds that the provider does not store prompts or responses and that logged operational data is never used to train models. An administrator can switch the assistant off entirely.
- Your docket spans more than trademarks and more than one office. Alt Legal derives matter data automatically from official filings across more than 180 IP offices. It itemizes the matter types it holds, including TTAB oppositions and cancellations, copyrights, disputes, licenses, patents and state registrations. A named customer study describes a top ten United States trademark filer running nearly 7,000 active USPTO matters on it.
Choose Corsearch if
- Your clearance has to reach beyond one register. Corsearch states coverage across 190 global registries, more than 1,100 screening databases and insights drawn from more than 1,000 sources. It separates the analytical dimensions rather than bundling them, naming phonetic, semantic and visual similarity, with a dedicated image recognition tool for logos and a separate industrial design search engine.
- You want to choose how much human judgment a matter gets. Corsearch sells oversight as a tier rather than implying it. Automated Watch uses AI for monitoring at portfolio scale, and Expert Watch provides bespoke strategy and analyst insight for complex, high value matters. The same structure runs through brand protection, where AI detection is combined with an expert team.
- Your drug name clearance is two problems at once. Corsearch Pharma unifies trademark and regulatory checks in a single platform for drug name clearance. The company also publishes original research on the trademark estate itself, reporting 83,613,385 active trademarks at the end of 2023 against a forecast of 100,720,928 by 2026, which is a figure a reader can test against the registers.
In summary
Alt Legal
Alt Legal is trademark docketing software for IP practices. It connects to more than 180 intellectual property offices, derives matter data automatically from official filings, calculates due dates and keeps a global portfolio synchronized. It adds a Section 2(d) watch, a goods and services composer and an AI filtering assistant that turns a typed request into report filters. According to the AI Legal Index, it publishes four price tiers against a stated unit of docketed matters from 60 dollars a month, and states in its terms that it does not act as a law firm or as a substitute for a lawyer's advice. No security attestation, named model provider or AI governance material is published.
Corsearch
Corsearch is a trademark and brand protection provider combining AI technology with analyst services. It runs clearance, screening, watch and portfolio management through TrademarkNow, alongside counterfeit removal, seller identification and content protection. According to the AI Legal Index, it states coverage of 190 global registries, more than 1,100 screening databases and insights from more than 1,000 sources, and separates phonetic, semantic and visual similarity as distinct analytical dimensions. Oversight is sold as a tier, with Automated Watch alongside Expert Watch for complex matters. No security certification, training or retention position, named model provider or price is published.
Questions buyers ask
Alt Legal vs Corsearch: which is better for trademark work?
The two products sit at different ends of trademark practice. Alt Legal is docketing, priced by matter, with a published data flow for its AI feature. Corsearch is clearance, watch and brand protection at scale, with coverage stated across 190 registries and more than 1,100 screening databases, and almost nothing published about its own systems. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
What does each cost?
Alt Legal publishes four tiers with figures and a stated unit, from 60 dollars a month for up to 50 docketed matters to 295 for up to 400, with the add on priced alongside each and unlimited users included, and portfolios above 400 matters invited to make contact. Corsearch publishes no price, range, tier or unit of charge, and no indication of how the software subscription prices against the analyst delivered watch and brand protection work sold with it. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
What happens to your data when the AI runs?
Alt Legal answers precisely: the query, system instructions and structured filtering data go to the model, customer records and portfolio data stay inside its own infrastructure, the provider does not store prompts or responses, and logged operational data is never used to train. Corsearch publishes nothing on whether search queries, candidate brand names or uploaded logos are used to train or improve models, and its material states that insights continuously improve detection accuracy without saying whose data supplies them. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
Which one is built for clearance and which for docketing?
They solve different halves of the same practice. Alt Legal is a docketing platform that derives matter data from official filings across more than 180 IP offices, calculates due dates and keeps a global portfolio in step, with watch and search tools alongside. Corsearch is a clearance and brand protection business built on 190 registries and more than 1,100 screening databases, with analyst services attached. One published customer study describes a firm deliberately splitting its docket, keeping patents elsewhere and trademarks on Alt Legal. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
What do Alt Legal and Corsearch both leave unpublished?
Neither publishes an independent security attestation: no SOC 2, ISO 27001, named auditor or report route appears for either. Neither names the model or provider behind the AI it sells. Neither publishes an accuracy figure for the matching or filtering each depends on, which matters because the failure mode in this work is a silent miss rather than a visible error. And neither engages any bar or ethics guidance, including ABA Formal Opinion 512. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
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.
Corsearch is thin in a specific way. It publishes no security certification, trust surface, training or retention position, model provider, hosting region or liability position. Those are absences of published material rather than unfavorable published terms. Its efficiency claims are stated as up to figures, without a baseline, sample or period. On Alt Legal, the GDPR page was last modified in May 2022, and the pricing page's own meta description advertises a 50 dollar starting price against a table reading 60. Neither vendor reviewed this page.