Derwent Patent Search vs Minesoft PatBase: how they compare in 2026
Derwent Patent Search and Minesoft PatBase are both global patent search platforms for prior art, freedom to operate and landscape work, each with AI added on top of a curated corpus. PatBase sits in the top two bands on eight of fifteen axes and Derwent on seven of fifteen, identical on seven. Derwent's lead is its corpus and who relies on it. Clarivate says more than 800 editors rewrite patents into standard English summaries for its Derwent World Patents Index, its AI Search is trained on that index, and 40 patent offices use the platform. PatBase's lead is what it tells a buyer about their own data. It states that customer data never trains its models, hosts in a private cloud on UK servers, and publishes terms with notice before compelled disclosure and an intellectual property indemnity. Its AI Explain also shows the passages behind each result. Derwent publishes nothing on whether an invention disclosure typed into AI Search is kept or reused.
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.
The models are the engine of core capabilities layered on a product that would function without them, which is the B band. There is more AI here than the seed's single line suggests, and it is worth listing because the record's other rows depend on it: AI Search, a language transformer model trained on DWPI, launched December 2024 across more than 160 million patent records; AI data enrichment filling missing bibliographic fields such as assignee; Optimized Assignee with Ultimate Parent resolving current ownership; and AI-derived legal status prediction supplying estimated expiration date, remaining life and dead-or-alive status. What keeps this at B is that the platform underneath is a curated database and a classical search engine, and the vendor sells it that way. AI Search is presented as one search mode among several, alongside keyword and Boolean searching across more than 300 fields, classification browsing, the citation index and Themescape mapping. Remove every model and a buyer still has DWPI's editorially written invention summaries, family building, full text from 76 jurisdictions and litigation data from 140-plus. The human layer is the product's own headline claim, being over 800 patent editors rewriting disclosures into standard English, and the AI is trained on their output rather than substituting for it. Verified 13 September 2026.
The models are the engine of several named capabilities layered on a platform that functions fully without them, which is the B band. The AI additions are real and recent, arriving mostly across 2025 and 2026: Document Chat for generated answers about an individual patent, AI Explain for showing where a query overlaps a document, Smart Images for reading reference numerals out of patent drawings, AI-trainable alert classifiers, natural-language query expansion with relevance scores, the Smart Claims viewer distinguishing independent from dependent claims, and machine translation embedded across search and review. Underneath sits a platform whose independent existence is not in doubt and is in fact the vendor's oldest claim on its buyers. PatBase has been in market since 2003 on a company founded in 1996, and its core is a curated corpus of more than 180 million publications from over 100 authorities with family-level organization, daily data quality checking, and Boolean, proximity, wildcard and command-line searching that the vendor still markets to professional searchers as a primary mode. Strip out every model and a searcher retains the corpus, the family structure, the classification tools and the syntax. What the AI changes is who else can use it and how quickly, which is the B band exactly. Verified 13 September 2026.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
Grounding is real and documented with a described retrieval method, short of any measured accuracy, which is the B band. The index's rule governs the shape of this row and the note says so, because the usual limbs bite differently: the product retrieves patent records from a closed curated index rather than generating propositions about the law, so a returned result is a real document with an identifier by construction and the fabrication risk this axis was written for does not arise in the same form. The retrieval method is described rather than asserted. AI Search is stated to use a language transformer model trained on DWPI, to work from free-text input such as an invention disclosure, and to be the only AI patent search trained and powered by that index, with the vendor explaining why that matters: the model learns from editorially written summaries of novelty, use and advantage rather than from raw patent prose. What is absent is measurement. No recall or precision figure is published for AI Search, no test set is described, no benchmark against keyword or Boolean searching is offered, and nothing states what the model misses. On a tool sold for first-pass patentability and freedom-to-operate work, recall is the metric that matters and none is given. Recorded and expressly not credited as measurement: a named customer's statement that relevant records now appear at the top of the list rather than after reviewing 50 to 200 results is a testimonial, graded on operational evidence. Verified 13 September 2026.
Grounding is real and documented at an unusual level of granularity, with no measured accuracy published, which is the B band. The grounding mechanism is a named feature rather than an architectural assertion. AI Explain shows the user precisely where and how their input overlaps a document's content, highlighting the specific sections and wording that matched, and the vendor states the purpose plainly: so a searcher can immediately judge how relevant a result is and understand why it appeared. That is passage-level attribution on a retrieval result, which is more than most records in this lane offer. Relevance scores accompany results, giving a ranked signal a user can act on, and Document Chat operates against a single patent so its answers have a bounded and visible source document. What is absent is measurement of the vendor's own accuracy. No precision or recall figure is published for the AI search, no test set is described, no evaluation of Document Chat is offered, and no failure mode is named. The agreement runs the other way and is worth recording because it is contractual rather than promotional: clause 11 disclaims any warranty that the Information is accurate or complete, and states that the licensor does not guarantee the accuracy of the Product or the Information or accept liability for the consequences of their use. Verified 13 September 2026.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
A mode structure is published and nothing else about oversight is, which lands in the C band. What exists is real but thin. The user chooses between search modes, AI Search sitting alongside keyword, Boolean and advanced modes and classification browsing, so a customer can decide per search whether a model is involved at all, and the vendor describes AI Search as helping to validate results and ensure relevant records are not missed, which positions it as a complement to conventional searching rather than a replacement. That is a published distinction between how the product can be run, and it is the only oversight material located. Everything the higher bands ask for is absent. No statement describes what a searcher should do with AI Search results before relying on them, no confidence signal or ranking explanation is published, nothing describes how the model behaves when a query falls outside its training, and nothing addresses what happens when a search misses relevant art. R15 is applied and named: a search engine returning ranked records does not act unattended, so the limb asking at what threshold the system acts alone does not bite and is recorded as inapplicable rather than failed. But the limbs that do bite on a retrieval tool, being what the user is told about the reliability of a ranking and how to check it, are unaddressed, and the stakes are real because a missed prior art reference is the failure mode a patentability opinion turns on. Verified 13 September 2026.
Real user control over how the models behave, with review surfaces, short of the full control structure, which is the B band. Two published capabilities go beyond assurance to actual control. AI Explain lets a user interrogate why a result surfaced, exposing the overlap between query and document rather than presenting a ranking as a verdict. And AI alerts can be bulk-trained by the user from their own folders and search history, so the classifier that decides what reaches them is tuned by their own prior judgments rather than by the vendor alone. That is user authority over model behavior, which is rarer in this corpus than statements about human oversight. Relevance scores give a graded signal instead of a binary inclusion, letting a searcher decide where to stop. What the A band asks for is not published. No threshold is stated at which any capability acts without review, no mode distinction separates AI-assisted from conventional operation despite both being available, nothing describes what happens when a Document Chat answer is wrong, and no route is published for correcting or reporting an output. Nor is there any general statement that the tools support rather than replace professional judgment, which several comparable vendors do make. The controls here are practical rather than declared, and the note records that as the shape of the record. Verified 13 September 2026.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Real deployment evidence with substance, short of the dating and method the A band requires, which is the B band. Two kinds of evidence sit here and both are first-party. Institutional adoption is stated as a figure: the platform and its DWPI data are used by 40 global patent and trademark offices, which for a prior art tool is the strongest form of validation available, since those are the bodies that examine patentability for a living. And a named individual at a named organization gives an attributed before-and-after in the launch release: Susan Johnson, patent agent and IP researcher at Boston Scientific, describing other tools as requiring review of up to 50 or even 200 results to find the most relevant records, against AI Search placing the most relevant at the top. That is a named customer, an identified role and a concrete comparison in one artifact, which is more than most records in this lane manage. Three things hold it off A. Neither claim is dated as a deployment. No method accompanies the comparison, so the 50-to-200 figure describes the witness's experience of other products rather than a measurement of this one. And the 40 patent offices are counted rather than named, so a reader cannot verify which. The customer stories and case study material on the wider Clarivate estate were not reached, the site returning a bot-detection block, and are what would move this row. Verified 13 September 2026.
Scale and longevity are published without a single named customer or measured outcome, which is the C band. What exists is substantial as scale evidence. The vendor states more than 90,000 innovators and legal professionals use the platform, that it has been helping patent professionals since 1996, and that PatBase itself launched in 2003, so the operating history is long and stated. Corpus scale is quantified at more than 180 million publications across over 100 authorities. Support reach is described concretely at 15 or more languages across all time zones. A public product status page is maintained, which is a small but real piece of operational transparency few vendors in this lane offer. None of that is deployment evidence in the sense this axis tests. No customer is named anywhere on the surfaces read, no case study or customer story section appears in the navigation, no testimonial is attributed to a named individual or organization, and no figure is published for time saved, recall improved or cost reduced by any of the AI capabilities. The feature announcements describe benefits in the abstract, saying that a capability is faster or produces less noise, without measurement. The one third-party attested marker located, a corporate identity and registration number, evidences the company rather than the product. Verified 13 September 2026.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
Confidentiality is asserted in general corporate terms and the question this product actually raises is unaddressed, which is the C band. What is published sits at company level: a privacy policy describing Clarivate as processor for customer-entered data with separate data processing agreements concluded with the controller, personnel bound by confidentiality terms, and service providers contractually held to the same standard. The published Clarivate Terms treat each party's confidential information as protected and define Clarivate IP as including confidential information and trade secrets. None of that addresses the specific exposure. AI Search works from free-text input, and the input the vendor invites is an invention disclosure, which is unpublished, novelty-destroying if it escapes, and often privileged in the hands of a patent attorney. Nothing published states whether a search query is stored, for how long, whether it is logged against a user or an organization, whether it is used to improve the model, or whether it is visible to Clarivate personnel. For a tool whose whole purpose is to be given an unfiled invention before anyone else sees it, that is the central confidentiality question and it is not answered anywhere located. Privilege and work product are not addressed. No model provider position exists because no provider is named. Retention and deletion are unstated. Recorded as a retrieval limit rather than an absence: the confidentiality section of the current Clarivate Terms was not recovered through the R8 ladder. Verified 13 September 2026.
Substantive published commitments, several of them contractual, defeated on the limbs the A band names, which is the B band. The commitments are unusually direct for a vendor of this size and they come from two independent places. On the product surfaces: customer data is never used to train models, searches and results are stated to belong to the customer, and the platform is described as a private cloud with data stored securely and privately in compliance with data protection law. In the published agreement: clause 19 imposes a mutual confidentiality obligation surviving five years beyond termination, restricts use of the other party's confidential information to performance of the agreement, and requires notice before any legally compelled disclosure so far as the law permits, which is graded on its own signal. Clause 20 commits both parties to the UK Data Protection Act 2018 and the GDPR. Clause 4 gives the customer a right to retain an archive copy of retrieved information for twelve months after termination. Three limbs fail. Privilege and work product are not addressed by name, which forecloses A on its own. No model provider is identified for the generative features. And no retention or deletion position is published for the customer's own searches, queries or Document Chat exchanges, which is the material a competitor would most want. Verified 13 September 2026.
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.
A boilerplate disclaimer sits in the terms while the marketing describes the product in decision terms, which is the C band. The disclaimer is real and is contractual: the Clarivate Terms disclaim all warranties other than those expressly stated, naming accuracy, completeness and currentness among the excluded ones, which on a prior art database is a pointed exclusion because those three properties are exactly what a searcher relies on. Against that, the product is marketed in the language of professional determinations rather than of information retrieval: enabling IP professionals to make reliable innovation decisions, supporting accurate first-pass patentability searches, informing freedom-to-operate opinions, and helping users assess patentability with speed and confidence. Freedom-to-operate opinions and patentability assessments are legal work product, and the marketing places the tool inside them. The audience is not ambiguous, which is what keeps this off the floor: the vendor names patent researchers, patent attorneys and other IP and R&D professionals, so it is explicit that non-lawyers are intended users too. What the higher bands require is absent. Nothing published addresses where the tool's output stops and professional judgment begins, no supervision or competence dimension is offered, no statement addresses an R&D user relying on an AI Search result without counsel, and no jurisdiction or professional rule is named. Verified 13 September 2026.
A contractual disclaimer sits in the terms while the marketing describes the product in decision terms and the audience reaches beyond lawyers, which is the C band. The disclaimer is real and is contractual rather than a website footer: clause 11 provides the Product and the Information are supplied as is, disclaims any warranty that the Information is accurate or complete, and states the licensor does not guarantee accuracy or accept liability for the consequences of use. Clause 10 adds that features dependent on public patent office services are outside the licensor's control and no responsibility is taken for the successful retrieval of Information, which is a pointed disclaimer on a prior art tool. Against that the product is marketed for freedom-to-operate analysis, patent due diligence and invalidity screening, all of which produce legal conclusions, and the vendor addresses legal teams, IP experts, professional searchers and R&D teams together, so non-lawyers are expressly among the intended users. Nothing published bridges the two. No statement addresses where the tool's output stops and professional judgment begins, no supervision or competence dimension is offered, no rule of professional conduct or bar authority is named in any jurisdiction, and nothing addresses an R&D user acting on a Document Chat answer about claim scope without counsel. Verified 13 September 2026.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
Governance is described as a structure under construction, with no mechanism, owner or testing disclosed, which is the C band. What exists is a corporate-level statement rather than a product one: Clarivate reports multi-functional committees collaborating on a comprehensive AI Governance Framework, with those committees guiding segment leaders as generative AI is woven into product offerings. That is more than nothing, because it identifies a governance structure and locates responsibility with named committees rather than with no one, but it describes a framework being built rather than one that governs. Nothing else was located. No AI principles or responsible-AI page exists on the product estate, no individual or function is named as accountable for model behavior, no pre-release testing regime is described, and no evaluation result is disclosed. Bias is not addressed in any form. That omission is worth naming precisely on this product rather than generically: AI Search is trained on DWPI, a corpus written by human editors, so any systematic tendency in that editorial output, whether toward particular technology areas, jurisdictions or drafting conventions, would propagate into what the model retrieves. The vendor markets the DWPI-trained provenance as the product's central advantage and publishes nothing about testing whether the model inherits the index's blind spots as well as its strengths. R16 is noted: nothing connects the corporate framework to this product in scope terms. Verified 13 September 2026.
Individual AI commitments are published without any governing framework behind them, which is the C band. What exists is a set of true and useful statements rather than a program. Customer data is never used to train models. Processing takes place in a private cloud on UK-based servers. Data centers are said to meet ISO 27001. AI Explain is presented explicitly as a transparency feature, and the autumn 2025 release framed a group of changes around enhancing transparency, so the vendor does think about explainability as a design goal and ships features that serve it. Beyond that the governance layer is absent. No AI policy or responsible-AI page was located in the site navigation, and the dedicated AI section of the estate was not read and is named as the surface most likely to change this grade. No framework is adopted or cited, no individual, committee or function is named as accountable for model behavior, no pre-release testing regime is described and no evaluation result is published. Bias is not addressed in any form, which is worth naming on this product specifically because the alert classifier is trained on an individual user's own prior selections, a design that by construction reinforces what that user has already chosen to look at, and nothing published addresses the narrowing that invites. Verified 13 September 2026.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
A corporate security program is published without addressing what happens to what a user puts into the product, which is the C band. The program is real. Clarivate publishes an Information Security Program page stating that the ISO 27000 family, and ISO/IEC 27001 specifically, forms the basis of its information security management system, with documented policies, standards and controls conforming to that standard and an in-house team covering cloud, application and information security. A Trust Center brings together information security, privacy and security compliance material, and a defined incident response process is stated: identify, investigate, contain, and take corrective action based on severity and impact. Staff are subject to a code of conduct. What is not published is anything product-specific about data handling. No retention period for search queries, no deletion commitment, no statement of whether AI Search inputs are logged or reused, no subprocessor list, and no description of access controls within the product. The gap matters here because the input is an invention disclosure. Two things are recorded and expressly not credited under R16 and ground rules section 3: the detailed certification and penetration-testing material published under the Clarivate umbrella belongs to Ex Libris, a different business unit serving libraries and academia, and nothing connects it to this product; and the Trust Center states plainly that specific certifications and reports may vary by product and environment. Verified 13 September 2026.
Substantive published policy across most limbs, short of the full set, which is the B band. The data position is stated plainly and repeatedly across the product estate: customer data is never used to train models, searches and results belong to the customer, information is stored securely and privately within a private cloud, and servers are located in the United Kingdom. Security certification is claimed against ISO 27001 for the data centers, and the agreement adds obligations on both sides, clause 6 making the customer responsible for the security of issued User IDs and requiring immediate notification of any unauthorised usage, with a reciprocal audit right for the licensor on seven days' notice. Clause 19 carries a five-year confidentiality tail and clause 20 commits to the UK Data Protection Act 2018 and the GDPR. A public product status page is maintained, giving customers visibility of availability without asking. Three limbs fail. No subprocessor list is published, and the one third party identified anywhere, RWS as machine translation partner, is named in a development context rather than as a processor of customer data. No retention period or deletion commitment is published for searches, queries or Document Chat exchanges. And no incident or breach notification commitment to customers was located, the agreement placing the notification duty on the customer and not reciprocating. Verified 13 September 2026.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
A real published position on liability, short of the full picture, which is the B band. The Clarivate Terms are published and address the commercial limbs directly. Warranties exist rather than being wholly disclaimed: stated warranties plus any product-specific warranties included in the order are identified as the exclusive warranties, with everything else excluded, and remedies are specified rather than left open. For software, if a valid warranty claim cannot be rectified within a reasonable period the customer may cancel the license by written notice and receive a refund calculated on five-year straight-line depreciation from the order's effective date; for professional services, Clarivate will rectify on written notice. Liability is capped and the cap is drawn precisely: aggregate liability of each party, and of Clarivate's third-party providers, for all claims including breach of statutory duty, tort and negligence, is limited to actual direct damages up to the amounts payable in the twelve months before the first incident, measured against the specific Product that is the subject of the claim. Excluded losses are mutual, covering lost profits, business, revenue, anticipated savings, data and goodwill, and indirect or consequential loss. What is absent keeps it off A. The disclaimer expressly excludes warranties of accuracy, completeness and currentness, which are the properties a prior art search rests on; no AI-specific provision was located; no vendor indemnity was located; and no insurance position is published. Verified 13 September 2026.
A published agreement addressing every commercial limb the axis tests, short of anything AI-specific, which is the B band and the strongest liability position in this lane. The agreement is published in full as a downloadable document, ungated, and it is short enough to read, which by itself distinguishes it from the three comparators in this lane whose terms could not be recovered at all. An express warranty exists and is not swallowed by the disclaimer that follows it: clause 11 warrants that the Product will operate materially in accordance with its description or technical specification, before disclaiming all other warranties. Liability is capped at the license fee paid in the preceding twelve months, with the usual exclusions for loss of profits, revenue or business and for indirect, consequential, special, punitive or exemplary loss. And a vendor indemnity is given rather than withheld: clause 13 requires the licensor to indemnify the customer against all claims, damages and expenses arising from a claim that the Product infringes a third party's intellectual property rights, subject only to notice, control of defense and no-admissions conditions, with a reciprocal customer indemnity for use of the Product. Termination runs on material breach with fourteen days to remedy, and English law and courts govern. What is absent is any AI provision at all. Nothing addresses the accuracy of a generated answer, nothing allocates risk for a decision taken on one, and no insurance position is published. Verified 13 September 2026.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
Integration is claimed and the mechanism is named without a documented catalog or configuration detail, which is the C band. What is established comes mostly from the agreement rather than from a product surface, which is itself telling. The Clarivate Terms contemplate that Licensed Information may be made available by API or data feed, subject to information service terms, and that APIs may be offered to configure hosted and installed software or to allow it to interoperate with third-party programs, described as Client Configurations, with API and data feed keys not to be shared, used across multiple interfaces, or used to mimic Clarivate functionality. So an API exists and its commercial boundaries are published. Within the product, integration is largely internal: DWPI and the citation index are integrated with patent full text from multiple authorities including machine translations for China, Korea and Japan, and litigation data is correlated in from Darts-ip. What the higher bands require was not established. No connector catalog or developer documentation was reached, no direction of flow is described for any connection, and not one external system is named as supported, which is a real gap given that the buyer typically also runs an IP management or docketing system and Clarivate itself sells adjacent IP products. The estate returned a bot-detection block and the integration surfaces were not recovered through the R8 ladder. Verified 13 September 2026.
Integration surfaces are named as products without documentation or a named external system, which is the C band. What is established is that routes out of the platform exist and are sold as such. A Patent Data API is published as a product line in its own right, so programmatic access is offered rather than merely implied. The estate lists an MCP entry among its AI applications, which if shipped would let a customer's own assistant call the platform, and under ground rules section 3 that is extensibility rather than model choice; it is recorded here and expressly not credited, because the page was not read and the estate simultaneously advertises an early-access program for an agentic tool, so whether MCP is generally available or part of that program is unresolved. Within the suite, PatBase sits alongside Minesoft Origin, PatDocs and ChemX, and analytics output including charts, diagrams, heat maps and clusters can be exported and shared. What the higher bands require was not established. No connector catalog is published, not one external system is named as supported, no API documentation was reached, and nothing describes how results or portfolio data would reach a docketing or IP management system. The API and MCP pages are named as what would move this row. Verified 13 September 2026.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
Cloud delivery is evident and neither the tenancy model nor the region is stated, which is the C band, both co-equal limbs being absent. The product is a hosted browser-based research application, described by the vendor as a proprietary patent research application accessed through the Clarivate platform and licensed by subscription, with the Clarivate Terms distinguishing hosted software from installed software and contemplating both. So the delivery model is clear enough. Everything a buyer with constraints would ask is not. No data center region is named for this product, no country of processing is stated, no regional election is offered, and nothing describes whether a customer's saved searches, alerts and work files sit in a shared or isolated environment. No single-tenant, private or on-premises option is offered or refused. Recorded and expressly not credited under R16 and ground rules section 3: Clarivate publishes detailed data center and residency material covering the United States, Europe and Asia Pacific, but it belongs to Ex Libris, a separate business unit serving libraries and academia, and no scope statement connects it to Derwent. The Trust Center itself makes the point, stating that specific certifications and reports may vary by product and environment and directing buyers to an account representative for product-specific documentation. Verified 13 September 2026.
Both co-equal limbs are addressed at least in outline, which places this comfortably in the B band and above most of its lane. Region is stated first-party and repeated across the estate: the servers are based in the United Kingdom, offered as a reason a customer's data is secure. For a European buyer with residency obligations that is a direct answer, and for a buyer needing United States or Asian residency it is an equally clear one in the other direction, which is the point of the axis. Tenancy is addressed in substance if not in architectural terms: the platform is described as a private cloud, with a customer's searches and results characterized as their own and held within it, and the 2020 platform rebuild is described as a cloud implementation led by RWS aimed at resilience and security. Data centers are stated to meet ISO 27001. What is not published keeps it off A. No deployment options are offered or refused, so nothing states whether a single-tenant, private or on-premises arrangement is available to an enterprise that needs one, and no alternative region is offered for customers who cannot use United Kingdom hosting. The private cloud description states an outcome rather than an architecture, and nothing sets out how separation between customers is achieved or assured. No data center operator is named. Verified 13 September 2026.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
Certification is real and stated, short of accessible evidence and short of any scope covering this product, which is the B band. A named standard is claimed at company level and claimed properly: Clarivate states it has adopted the ISO 27000 family, and ISO/IEC 27001 specifically, as the basis of its information security management system, with policies, standards and controls documented and implemented to conform to it, and its trust material states that the security program aligns with ISO 27001 and SOC 2, standards it describes as requiring documented controls, independent audits and continuous improvement. A Trust Center exists and is public, gathering information security, privacy and security compliance in one place. Two things prevent A, and the vendor states the first itself. Scope is not published per product: the Trust Center says specific certifications and reports may vary by product and environment and directs buyers to contact an account representative for product-specific security documentation, so a buyer cannot establish from public material whether Derwent Patent Search sits inside any certification boundary. And no report, certificate, audit period or auditor is obtainable without that conversation, which is the sales-gated tier. Recorded and not credited: the specific certifications set out in detail on the Clarivate estate, covering ISO 22301, 27001, 27017, 27018, 27032 and 27701, are Ex Libris's and no connector reaches this product. Verified 13 September 2026.
A standard is named and the claim is made in terms that leave its subject unclear, with no scope, date or evidence, which is the C band. The sentence is the whole of the disclosure and it repays close reading: the vendor's commitment to security is said to be backed by ISO 27001 certification, ensuring that its data centers adhere to international information security standards. Read strictly, the certification is attached to the data centers rather than to Minesoft's own information security management system, which raises the question ground rules section 3 exists for, since a hosting provider's certification is infrastructure and does not attest to the vendor's own controls. Nothing published resolves which is meant. Beyond that ambiguity, none of the supporting material a buyer would use is present: no certificate number, no certification body, no issue or expiry date, no statement of the scope covered, and no route to obtain the certificate or any report. No trust center or security documentation page exists in the site navigation. What sits alongside is real but is practice rather than attestation, being the private cloud description, the United Kingdom server location, and the User ID security and audit provisions of clause 6 of the agreement. The distance to a better grade is small and entirely within the vendor's control, which the note records because it is the honest reading. Verified 13 September 2026.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
The architecture is described without the providers, which the B band names expressly as one of its two shapes. What is disclosed is more than most records manage on the training side and nothing at all on the supply side. The architecture is stated: AI Search uses a language transformer model, described elsewhere on the estate as a large-language AI model. The training corpus is named precisely and is the point of the product: the model is trained and powered by DWPI, the vendor's own editorially curated index, and the vendor markets it as the only AI patent search trained on that data, explaining that this is what lets it recognize related concepts across patent publications. Being able to name what a model was trained on, and for that corpus to be a proprietary asset the vendor controls, is a genuinely strong disclosure and is rare in this corpus. What is missing is everything downstream of that. No model is named, no version or family is given, no provider is identified, nothing states whether the model was built in-house or licensed and fine-tuned, nothing says where inference runs, and no commitment exists to notify customers if any of it changes. The same silence covers the other AI capabilities: data enrichment, Optimized Assignee and legal status prediction are each described as AI-derived with nothing said about what performs them. Under ground rules section 3 the DWPI training disclosure is spent here on architecture and is separately the substance of the corpus provenance row. Verified 13 September 2026.
The vendor describes AI capabilities by function without identifying what performs them, which is the C band. Seven distinct AI features are named and described: Document Chat, AI Explain, Smart Images, the trainable alert classifier, natural-language query expansion with relevance scoring, the Smart Claims viewer and machine translation. For each, what it does is clear and how it is built is not. No model is named, no version is given, no architecture is described beyond references to AI-based image recognition and AI-enabled claim recognition, and no provider is identified for the generative component, which matters most on Document Chat because generated answers about a patent are where a third-party foundation model would ordinarily sit. Nothing states where inference runs relative to the United Kingdom servers the vendor otherwise emphasizes, what any provider retains of a question put to Document Chat, or whether a customer would be told if an underlying model changed. Clause 10 of the agreement runs the other way, reserving the right to change or modify the Product and its features without notice. One third party is named and is credited here as far as it goes: RWS, the translation company that co-develops the platform, is identified as the machine translation partner and is said to be continuously improving translation quality. That is a named supplier performing a named function, which is real disclosure, and it covers translation only. Verified 13 September 2026.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
No pricing information is published at any level, including the unit of charge, which is the D band. The page inventory was taken from the product estate recovered through the R8 ladder and from the site's own navigation: product pages for patent search and adjacent Derwent offerings, a landing page for the current release, the legal center, the trust center and the newsroom. There is no pricing page. The only commercial route on the product page is a free trial request form, and the wider estate resolves to contact and demonstration requests. Nothing published states the charging model, so a buyer cannot establish even the shape of it: not whether the subscription is priced per named user, per concurrent seat, per module, by search volume or by corpus coverage, and not what the AI Search capability costs relative to the base platform or whether it is included. The Clarivate Terms confirm that fees sit in an order form or ordering document rather than anywhere public, and add a term worth naming because it bears on what a buyer can compare: the agreement treats pricing and discounts as confidential information the customer must not disclose. Under R10's closing discipline no structure means no row, so no VendorPricing row is written. Recorded and not credited: a third-party listing states that no pricing is published and that buyers must contact the vendor, which corroborates rather than establishes the absence. Verified 13 September 2026.
The unit and structure of charging are published in the agreement while no figure appears anywhere, which is the C band and lifts this off the floor. The published terms set out the commercial mechanics with precision, and a buyer can establish the shape of the deal before speaking to anyone. Licensing is per User ID, with additional User IDs added on written request, co-terminous with the existing term and charged pro rata by the month in which they are added. The term is twelve months unless the Product Terms say otherwise, renewing automatically for further one-year periods unless either party gives thirty days' written notice. Invoicing is annual in advance. Late payment attracts interest at eight percent above the Bank of England base rate together with collection costs, and the licensor may suspend access without notice while payment is outstanding. Clause 17 provides that Product Terms prevail over the general Terms in a conflict, so a buyer knows where the commercial specifics will live. What is absent is any number. No price, band, minimum or indicative range appears on the estate, and the only route published is a demonstration request. The test is mechanical: this evidence lifts the axis above D, so a VendorPricing row is owed, written with entryPriceUsd null. Verified 13 September 2026.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
Coverage is described with real substance and quantified precisely, with the boundaries left open, which is the B band. Jurisdictional coverage is stated with more precision than anywhere else in this lane, and each figure is separately scoped rather than rolled into one claim: DWPI curation across 60 jurisdictions and 132 million patents, enhanced full text from 76 jurisdictions, bibliographic data from 109, more than 178 million patent publications, and correlated litigation case data from more than 140 jurisdictions. Language coverage is addressed through machine translation and full-text integration for major authorities including China, Korea and Japan, with the interface available in Chinese, English, Japanese and Korean. Buyer coverage is named rather than implied, the vendor identifying patent researchers, patent attorneys and other IP and R&D professionals, and evidencing the institutional end with 40 global patent and trademark offices. Use cases are enumerated: patentability, freedom to operate, invalidity, prosecution, portfolio monitoring, licensing and monetization, and litigation support. What is left open is the limit in every direction. No technology area is named as better or worse covered, and the 41 new DWPI manual codes added for emerging areas imply the taxonomy lags new fields without saying by how much. No customer size floor is stated, and nothing distinguishes what this product covers from the adjacent Derwent Patent Monitor. Verified 13 September 2026.
Coverage is described with real substance across data, jurisdictions and workflows, with the boundaries left open, which is the B band. Corpus coverage is quantified at more than 180 million publications from over 100 issuing authorities, with full-text coverage of the major jurisdictions, family-level and publication-level organization and a live feed of new documents subject to daily quality checking. Language coverage is addressed through machine translation embedded in search and review, often available the same day as a new document, which for cross-border prior art is coverage in the operative sense. One area is covered in unusual and recent detail: standard-essential patent work, where a spring 2026 release added fourteen standard-setting organizations by name, being IEEE, ISO, CCSA, OMA, IMT, OneM2M, TIA, ATIS, ITU-T, ITU-R, IEC, IETF, ANSI and TTA, with dedicated search syntax and new source and company columns. Workflow coverage is published as named use cases across search, monitoring, collaboration, due diligence, freedom to operate, competitor intelligence and technology landscaping, and buyer coverage names IP experts, legal teams, R&D teams and professional searchers, supported in fifteen or more languages. What is left open is every limit. No jurisdiction is identified as thinly covered among the hundred, no technology area is named as better or worse served, and nothing states coverage dates or backfile depth. Verified 13 September 2026.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
No located public material addresses whether what a customer puts into the product is used to train or improve models, in either direction, which is this value. The silence is specific rather than general, and the reason it matters is the input. AI Search invites free text, and the text the vendor names is an invention disclosure: unpublished, novelty-destroying if it escapes, and frequently privileged. Nothing published says whether that query is retained, whether it feeds model improvement, or whether it is used in aggregate.
What the vendor does state about training runs the other way and is recorded so the value is not misread: the model is trained and powered by DWPI, the company's own editorially curated index, and is marketed as the only AI patent search trained on that data. That is a statement about the training corpus being proprietary rather than a statement that customer input is excluded from it, and the two are not the same. R43(1) was run.
The published Clarivate Terms were recovered in substance through the R8 ladder and no training term was located in either direction; a general provision permits Clarivate to use data relating to provision and performance of the products, but the confidentiality and data sections of the current Terms were not fully recovered against bot detection, so this is recorded as silence rather than as a contractual position.
Public material states plainly that customer content never trains models, with no matching term in the published agreement, which is this value. The statement appears on more than one product surface in the same words and is unhedged: the vendor never uses customer data to train models, and a customer's searches and results are their own, safeguarded within a private cloud. It sits beside a data protection commitment and a statement that information is stored securely and privately.
R43(1) was run and, unusually for this lane, can be discharged. The UK and International Annual Subscription Terms are published as an ungated document and were read in full. They contain no training provision in either direction: clause 3 vests intellectual property in the licensor and its suppliers, clause 4 grants the customer its license to use and archive Information, clause 19 imposes mutual confidentiality with a five-year tail, and clause 20 commits both parties to the UK Data Protection Act 2018 and the GDPR.
Nothing addresses model training. So the prohibition is established as a policy commitment and is established as absent from the contract, which is the precise state this value records rather than an inference from an unread instrument. A buyer relying on it is relying on a published statement, not on a term they could enforce.
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 search queries or their results are kept. Nothing on the product estate, the Trust Center, the Information Security Program page or the recovered portions of the Clarivate Terms addresses retention of what a user types into the platform. That gap has an unusually sharp edge on this product. The material a patent searcher enters into AI Search is an invention disclosure or a claim under consideration, which is confidential by definition and commercially destructive if it surfaces before filing, and the platform also stores saved searches, alerts and work files across a matter.
Nothing published states whether any of it persists, for how long, whether it is retained after a subscription ends, or whether a customer can require its deletion. Adjacent material is recorded and not credited because it answers a different question: the privacy policy describes Clarivate acting as processor for customer-entered personal data under separate data processing agreements concluded with the controller, which is a framework for personal data rather than a retention commitment for search inputs, and the Trust Center describes a corporate security program without product-level data handling.
The surfaces read on the date shown were the product pages recovered through the R8 ladder, the Trust Center, the Information Security Program page, the privacy policy and the Clarivate Terms.
No located public material states how long the customer's searches, queries or generated answers are kept. The agreement was read in full and addresses retention only in the opposite direction, which is worth recording so the absence is not mistaken for silence about data generally. Clause 4(b) grants the customer a right to store an archive copy of Information obtained through the platform for up to twelve months after the agreement ends, and clause 5.1 restricts how that copy may be held, forbidding a searchable database format or external redistribution without written permission and additional fees.
So the terms regulate what the customer may keep of the vendor's data, and say nothing about what the vendor keeps of the customer's activity. On the product surfaces the position is a characterization rather than a period: searches and results are stated to be the customer's own, held within a private cloud, with information stored securely and privately. Nothing states a retention period, a deletion right, or what becomes of search history at the end of a subscription.
The gap has practical weight because search history is not incidental here: the platform invites users to bulk-train alert classifiers from their folders and search history, so that history is retained long enough to be a training input and nothing says for how much longer.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
No located public material describes how access to work is controlled within a customer organization. Nothing published sets out a role model, permission levels, administrator capabilities, or how saved searches, alerts and work folders are shared or withheld between users of the same subscription. The privacy policy notes that an account administrator or the subscribing organization may have access to a user's data, which describes an exposure rather than a control.
The concern is real rather than formal on this product. A patent firm running searches for competing clients in the same technology field has an ordinary conflicts problem, and a corporate IP department may need to wall a search relating to an unannounced acquisition or an unfiled application from colleagues. Nothing published states whether a searcher's queries or saved work are visible to others on the account, or whether they can be restricted.
Recorded and not credited: Clarivate publishes corporate-level statements that personnel access is limited to those whose roles require it and that staff are bound by confidentiality terms, which is vendor-side employee access control rather than a customer-facing permission model. The surfaces read were the product pages recovered through the R8 ladder, the Trust Center, the Information Security Program page and the privacy policy.
Separation is claimed and no permission model is documented, which is this value. What is claimed is real and comes from two places. On the product surfaces the platform is described as a private cloud in which a customer's searches and results are their own, stored securely and privately, which addresses separation between customers. In the agreement, access is organized around individually issued User IDs: clause 5(e) forbids a User ID being used by anyone not employed by the customer, and clause 6 makes the customer responsible for maintaining the security of its User IDs and requires it to notify the licensor immediately of any unauthorised usage, with a reciprocal audit right for the licensor on seven days' notice.
So identity is individuated and the customer carries a contractual duty around it. What is not documented is any model for controlling access between those identities. No roles are enumerated, no administrator capability is described, and nothing states whether one user's saved work, folders, search history or alerts are visible to colleagues on the same subscription. The concern is concrete for the buyers named: a patent firm running searches for clients competing in one technology field needs a wall, and a corporate team may need to shield an unfiled application from colleagues. Nothing published establishes whether that is achievable.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Notice before compelled disclosure is committed in the published agreement, which is this value, and it is the only record in this lane where the commitment could be established at all. Clause 19 imposes a mutual confidentiality obligation, restricts each party's use of the other's confidential information to performing its rights and obligations, and then handles compulsion expressly rather than by silent exception: a party may disclose to the extent required by law or by any government or regulatory authority, provided that, to the extent it is legally permitted to do so, it gives the other party as much notice of the disclosure as possible.
The obligation runs for the term and five years afterwards. Two features are worth naming. The duty is mutual, so it binds the vendor in the customer's favor rather than merely preserving the vendor's position. And it is drafted to give the customer the practical benefit notice exists for, which is time to seek a protective order or narrow the demand. What is not present, and is recorded so the value is not read as stronger than it is: no commitment to challenge or resist a demand, no undertaking to seek to redirect the request to the customer, no minimum notice period, and no transparency report of any kind.
The notice duty is also framed by reference to confidential information generally rather than to customer data specifically.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The corpus is named precisely, the vendor owns it, and it is described in more detail than any other record in this corpus manages, which is this value and the strongest row on this record. The source is the Derwent World Patents Index, Clarivate's own proprietary asset rather than licensed third-party content, so the rights position is ownership and the vendor states the AI is trained and powered by it. What DWPI consists of is set out at length: descriptive titles and abstracts for more than 70 million invention families, written by human editors to summarize an invention's novelty, use and advantage in standard English, produced by a team the product page puts at over 800 patent editors; subject-matter classification coding and manual indexing; and invention-centric family building in which human indexers group documents by invention rather than by filing, including non-Convention patents and Chinese dual filings that carry no linking data.
Around it, enhanced full text from 76 jurisdictions and bibliographic data from 109 covering more than 178 million publications, all of which is public patent documentation, and correlated litigation data from Darts-ip, a Clarivate company. So the closed loop is unusual and worth naming: the model is trained on an index the vendor built by hand and continues to own. One discrepancy is recorded rather than resolved: the editor count is given as over 800 on the product page and as 850-plus in a November 2025 release.
Sources are named at the level of issuing bodies with the basis on which they are held left unstated, which is this value. The naming is real and in one area is precise. The corpus is described as more than 180 million publications from over 100 patent issuing authorities, with full-text coverage of major jurisdictions delivered through a live feed of what the vendor calls quality patent sources, subject to daily quality checks and improvements to raw patent data.
For standard-essential patent work fourteen standard-setting organizations are named individually as integrated sources, being IEEE, ISO, CCSA, OMA, IMT, OneM2M, TIA, ATIS, ITU-T, ITU-R, IEC, IETF, ANSI and TTA, each searchable by a dedicated syntax with source and company columns exposed in the results table. Machine translation is attributed to a named partner, RWS. What is not stated is the footing. No license, agreement or data supply arrangement is described for any source, no individual patent office is named among the hundred, and no coverage dates or backfile depth are published for any jurisdiction, so a searcher cannot establish how far back a given authority runs.
The agreement gestures at the position without resolving it, clause 10 recording that some features depend on public patent services provided by patent offices or other third parties and disclaiming responsibility for their quality or availability.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
The vendor publishes its own status signal and surfaces it inline, which is this value, and the index's rule governs the translation because the patent analog of good law is not case treatment. For a patent searcher the question a citator answers is whether the authority still stands, which for a patent means whether it is in force. The value rests on the platform's vendor-generated dead-or-alive status determination, offered across both DWPI and INPADOC families alongside legal status data and legal status alerts.
The AI-derived estimated expiration date and remaining life are also published and are recorded here, but a forecast is not a status determination and does not carry the value. Optimized Assignee with Ultimate Parent performs the adjacent function of resolving who currently owns the right, following the corporate tree to ultimate parent, which is the ownership half of the same question. Correlated litigation case data from more than 140 jurisdictions shows which patents in a result set have been litigated, with history and detail per case, which is the closest patent equivalent to negative treatment.
Two limits are recorded. The status signals are stated to be AI-derived and no accuracy or confidence information is published for them, on determinations that bear directly on freedom-to-operate conclusions. And nothing published describes how often the underlying legal status data is refreshed.
Third-party status data is carried and surfaced inline within the record, which is this value, with R15 governing the translation because on a patent platform the good-law question is whether a right remains in force. Legal status updates are described as part of what the platform provides alongside bibliographic data, full-text records and family information, so a searcher assessing a result can see its standing without leaving the platform, and family-level organization means status can be read across a family rather than one publication at a time.
The data originates with the issuing authorities rather than with the vendor, which is what places this at the licensed rather than the own-signal tier: the agreement makes the dependency explicit, clause 10 recording that features are based on public patent services stored and provided by patent offices or other third parties, that changes to those services are outside the licensor's control, and that no responsibility is taken for their quality.
Two limits follow and are recorded. Nothing published states how frequently legal status is refreshed or how quickly an authority's change propagates, which on a freedom-to-operate question is the difference between a live blocking right and a lapsed one. And no vendor-generated status determination, prediction or confidence indicator is offered, so the platform reports what the offices report and adds no judgment of its own.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No located public material describes what the system does when it cannot produce a reliable answer. Nothing states that AI Search signals low confidence in a ranking, reports that a query falls outside what the model handles well, distinguishes results it is confident about from results it is not, or tells a user when a search should be supplemented by conventional keyword or classification searching. The same silence covers the AI-derived signals: nothing indicates when an estimated expiration date or a dead-or-alive determination is uncertain, or when an Optimized Assignee resolution could not be made confidently.
The consequence is specific to prior art work and runs the wrong way. A search tool's characteristic failure is silent omission: the relevant reference that never appears in the ranking. Unlike a generative tool, which produces a visibly wrong answer a reader can question, a retrieval system that misses simply returns a shorter list, and nothing published tells a searcher when that has happened or how to detect it. The vendor's own framing acknowledges the risk obliquely, describing AI Search as helping users validate results to ensure relevant records are not missed, which places the burden of catching omissions on the searcher without describing any mechanism the system provides.
The surfaces read were the product pages recovered through the R8 ladder, the December 2024 launch release, the Trust Center and the Clarivate Terms.
A confidence signal is published and no behavior at the point of doubt is described, which is this value exactly. The signal is real and is a designed feature rather than an artifact: results carry relevance scores, described as helping a user prioritize, with the AI stated to learn what matters to that user. Alongside it AI Explain shows precisely which sections and wording of a document overlap the query, so a searcher can see the basis of a score rather than only its magnitude, and the vendor frames that as letting the user immediately judge how relevant a result is.
Taken together a user gets a graded output they can interrogate, which is more than a ranked list. What is absent is anything about the system's own uncertainty. No threshold is stated below which a result is withheld or flagged, nothing describes what Document Chat does when a question cannot be answered from the patent in front of it, nothing indicates when Smart Images has failed to resolve a reference numeral, and no state exists in which the platform reports that it does not know.
The failure mode that matters on a prior art tool is the relevant document that never appears, and a relevance score speaks only to what did appear. Nothing published tells a searcher when the ranking itself should not be trusted.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
Searched on 13 September 2026 against the company name, the current product name and the former product name Derwent Innovation, across reporting and trackers covering court decisions on AI-generated fabricated citations. None located. No decision, sanction or disciplinary referral names Clarivate, Derwent, Derwent Patent Search or Derwent Innovation. Context is recorded because the field searched now includes patent practice specifically, so the absence was tested against directly comparable material: in a Kansas patent infringement action a judge fined counsel for a licensing company a total of 12,000 dollars across four lawyers after briefs contained case citations, quotations and representations of authority fabricated by generative AI, with one attorney admitting to using a general-purpose assistant without verification and referred for state disciplinary attention.
General-purpose assistants rather than patent search platforms are what that and the other reported instances describe. This signal records fabricated legal citations in filings and nothing else. One point of product context: this platform retrieves patent records from a closed curated index rather than generating citations to legal authority, so the exposure this signal tracks is structurally low, and a failure here would take the form of a missed reference rather than an invented one.
Searched on 13 September 2026 against the company name and the product name, across reporting and trackers covering court decisions on AI-generated fabricated citations. None located. No decision, sanction or disciplinary referral names Minesoft or PatBase. The absence was tested against directly comparable material, patent practice now being represented in the case law: in Lexos Media IP LLC v Overstock.com in the District of Kansas, counsel were ordered to show cause over briefs containing nonexistent quotations, nonexistent and incorrect citations and misrepresentations about cited authority, and were fined 12,000 dollars in total across four lawyers, the responsible attorney having filed a declaration admitting he authored the document and failed to check the AI-generated citations before filing.
The tool involved was a general-purpose chatbot. This signal records fabricated legal citations in filings and nothing else, so no other proceeding involving this vendor would appear here. One point of product context: the platform retrieves patent documents from curated authority feeds rather than generating citations to legal authority, and Document Chat answers questions about a specific patent already in front of the user, so the exposure this signal tracks arises only indirectly.
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 professional conduct guidance. No bar association, patent bar rule, ethics opinion or professional regulator is named or mapped to the product, in any jurisdiction, and no statement asks customers to use the platform consistently with their own professional obligations. That is a notable omission on this product class specifically, because patent practice is one of the few areas with its own dedicated professional regime: registered practitioners before the United States Patent and Trademark Office are governed by that office's rules of professional conduct, and the duty of disclosure of material prior art is a defining obligation of the field.
A tool sold to help find prior art sits directly against that duty and engages none of it. The vendor's closest approach is descriptive rather than normative, describing the platform as helping users find the right prior art when the stakes are high and as supporting reliable innovation decisions. The regulatory engagement that exists elsewhere on the corporate estate runs to information security and data protection rather than to professional conduct.
Recorded and not credited because it addresses the customer's institutional character rather than any guidance: the platform is stated to be used by 40 global patent and trademark offices, which is adoption evidence and is graded on the operational row.
No located public material engages with bar, ethics or practitioner guidance. No bar association, rule of professional conduct, ethics opinion, patent office code of practitioner conduct or regulator is named or mapped to the product, in the United Kingdom, the United States, Germany or any other jurisdiction in which the vendor operates. Nor is professional responsibility engaged generically: the agreement contains no use condition asking the customer to operate the platform consistently with its own professional obligations, and the product surfaces contain no statement that the tools support rather than replace professional judgment.
The omission is squarely established rather than untested, the agreement having been read in full and the product, search, analytics and feature-release pages having been read. It is worth naming against this product's own positioning. The platform is sold for freedom-to-operate analysis, invalidity screening and patent due diligence to an audience the vendor expressly describes as including legal teams and R&D teams together, and patent practice carries its own professional regime, including the duty to disclose material prior art, which a prior art search tool touches directly.
Nothing on the estate connects the product to that duty or to any other. Verified against the surfaces read on the date shown.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Time savings are claimed and nothing addresses billing or disclosure, on a product that sits inside a fee relationship, which is this value. Prior art searching is classically billed to a client, either as attorney time or as a search cost passed through, and the vendor's pitch is compression of exactly that work: finding more relevant patents in less time, saving time when evaluating patentability, and placing the most relevant records at the top of the list rather than after reviewing 50 to 200 results.
That is a direct claim to reduce chargeable search effort. Nothing follows from it in disclosure terms. No per-matter record of AI-assisted searching is described, nothing marks a result set as AI Search-derived rather than keyword-derived for the purposes of a search report or fee note, and no guidance is published on fee or disclosure treatment for a firm passing search costs to a client. The gap is compounded by the pricing position, since with no charging model published at all a firm cannot establish what the platform component of a matter cost would be, let alone how AI-driven efficiency changes it.
Recorded and expressly not credited: the Clarivate Terms treat pricing and discounts as confidential information the customer must not disclose, which restricts what a firm may tell anyone about its costs rather than addressing the client's bill. Corrected 18 September 2026: the row was first recorded as not-addressed, which the value text reserves for products with no savings claim published; the savings claims set out above make this value the correct one. No new research.
Nothing published addresses what happens to the bill when AI-assisted work takes an hour instead of six, which is the floor. The question arises squarely: the vendor sells to law firms and describes itself as helping patent professionals win back time, its AI features are marketed on speed and on reducing noise, and prior art searching is classically billed to a client either as practitioner time or as a disbursement.
Nothing follows in disclosure terms. No per-matter record of AI-assisted searching is described, nothing marks a result set or a Document Chat answer as machine-generated for the purposes of a search report or fee narrative, and no guidance is published on fee or disclosure treatment for a firm passing search cost to a client. Recorded and expressly not credited because they answer a different question: the agreement does publish the commercial mechanics between vendor and customer in detail, being per User ID licensing, twelve-month terms invoiced annually in advance, pro rata charging for User IDs added mid-term, and interest at eight percent above base for late payment.
That is transparency about what the customer pays the vendor, which is graded on Commercial Transparency, and it says nothing about what the customer's own client is told or charged.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
None of the three artifacts a firm would need is published, which is the floor. There is no subprocessor list: the privacy policy identifies processors by category only, naming cloud computing providers, web analytics services and payment processors as examples, and no entity is identified as processing customer content for this product. There is no model provider statement, because no model, version or provider is named anywhere on the estate for AI Search or for the AI-derived enrichment and legal status capabilities.
And there is no forwardable client-facing pack: no data processing addendum is published, the privacy policy stating instead that Clarivate concludes separate data processing agreements with controllers, so the instrument exists and is negotiated rather than available in advance. The Trust Center compounds the position rather than relieving it, stating that specific certifications and reports may vary by product and environment and directing buyers to an account representative for product-specific security documentation, which is exactly the sales conversation this signal asks whether a firm can avoid.
Recorded and not credited under R16 and ground rules section 3: the detailed certification set published under the Clarivate umbrella belongs to Ex Libris, a separate business unit, and Darts-ip is named as a data source rather than as a processor of customer content.
One of the three artifacts a firm would need is present and the two that matter for an AI clause are not, which leaves this at the floor. What exists is genuinely forwardable and should be credited in the summary even though it does not lift the value: the UK and International Annual Subscription Terms are published as an ungated document a firm can download and send to a client, and they contain the substance a client usually asks about, being mutual confidentiality with a five-year tail, a commitment to give notice before any legally compelled disclosure so far as the law permits, an undertaking to comply with the UK Data Protection Act 2018 and the GDPR, and a vendor indemnity against third-party intellectual property claims.
Very few vendors in this corpus publish that much. What is absent is what an AI clause actually asks. There is no subprocessor list of any kind, and no data processing addendum was located, clause 20 committing to data protection law without identifying any processor. And no model provider is named for any of the seven AI capabilities, so a firm asked which AI providers see its client's search terms or its questions to Document Chat cannot answer.
The one third party identified anywhere, RWS as machine translation partner, is named as a co-developer rather than disclosed as a processor of customer data.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses disclosure of AI involvement in the work the product supports, which is the floor, and the forum where it would matter here is the patent office rather than a court. A prior art search underpins a patentability opinion, a freedom-to-operate opinion and, in prosecution, the applicant's duty to disclose material references. Where a search was performed with AI assistance, a firm may need to describe how it was conducted, whether to a client questioning the search's adequacy, to an examiner, or to a court in later invalidity litigation testing whether a reference should have been found.
Nothing published helps. No search history export is described as an evidentiary record, nothing states that a result set is marked as AI Search-derived rather than produced by keyword or classification searching, no search report template is offered, and no guidance addresses whether or how the use of AI Search should be recorded or disclosed. Two adjacent capabilities are recorded and not credited because they document the art rather than the method: the Derwent Patent Citation Index provides forward, backward, literature and examiner citations at family level, and search history cards and search management tools exist within the interface. Both help a searcher work; neither is offered as a record a third party could rely on.
No located public material offers a record of AI involvement intended to be shown to anyone outside the customer. What exists is transparency at the moment of use rather than an artifact. AI Explain shows the user which sections and wording of a document overlapped their query, which is real explainability and is graded on the citation accuracy and autonomy rows, but it is a view within the interface rather than a record that persists and travels.
Search history exists and is retained sufficiently to be used as training input for alert classifiers, and analytics output including charts, diagrams, heat maps and clusters can be exported and shared, so material does leave the platform. But nothing published frames any of it as evidence of how a search was conducted. No search report template is offered, nothing marks a result set as AI-expanded rather than Boolean-retrieved once exported, no export of the AI Explain overlap is described, and no guidance addresses whether or how the use of the AI features should be recorded or disclosed to a patent office, an opposing party in invalidity proceedings or a client questioning the adequacy of a search.
On a platform sold for freedom-to-operate and invalidity work, where the defensibility of the search is the thing later challenged, that is the gap.
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.
- Prompt and Output Retention
- Bar Guidance Alignment
- Outside Counsel Guideline Readiness
- Court Disclosure Support
Which one fits
Choose Derwent Patent Search if
- You want searches run over editor written summaries. Derwent's World Patents Index covers more than 70 million invention families with titles and abstracts rewritten by human editors to state each invention's novelty, use and advantage, and groups documents by invention rather than by filing.
- You want to know if a patent is still alive and who owns it now. Derwent offers dead or alive status, estimated expiration and remaining life across DWPI and INPADOC families, resolves current ownership to the ultimate parent, and correlates litigation data from more than 140 jurisdictions.
- You want a first pass search from an invention disclosure. Derwent's AI Search takes free text and returns relevant records from more than 160 million patents using a language model trained on DWPI, and a Boston Scientific patent agent describes relevant records appearing at the top of the list.
Choose Minesoft PatBase if
- You want the training and hosting position stated plainly. PatBase states that customer data never trains its models and that searches and results stay the customer's own in a private cloud on UK servers, and its published terms add notice before compelled disclosure and an intellectual property indemnity.
- You want to see why a result appeared. PatBase's AI Explain highlights the sections and wording that overlap your query, results carry relevance scores, and you can train alert classifiers on your own folders and search history.
- You work on standard essential patents. PatBase added fourteen standard setting organizations in spring 2026, including IEEE, ISO, ITU-T, IETF and ANSI, searchable by dedicated syntax, alongside more than 180 million publications from over 100 authorities.
In summary
Derwent Patent Search
Derwent Patent Search, formerly Derwent Innovation, is Clarivate's patent research platform for prior art, patentability, freedom to operate and invalidity work, built on the Derwent World Patents Index, whose human editors rewrite more than 70 million invention families into standard English summaries. It adds full text from 76 jurisdictions, a citation index and litigation data from more than 140 jurisdictions, and its AI Search uses a language model trained on that index. The AI Legal Index grades it in the top two bands on seven of fifteen capability axes. Clarivate states that 40 patent and trademark offices use the platform. As of 13 September 2026 the index located no published price, no named model provider and no position on whether search queries are stored.
Minesoft PatBase
Minesoft PatBase, from Minesoft Ltd of Richmond upon Thames, London, founded in 1996, is a global patent search and analytics platform used by more than 90,000 IP, legal and R&D professionals, covering more than 180 million publications from over 100 authorities with machine translation developed with RWS. Its AI features include Document Chat, AI Explain, Smart Images for patent drawings and alerts trained on a user's own work. The AI Legal Index grades it in the top two bands on eight of fifteen capability axes. It publishes its subscription terms, states that customer data never trains models, and hosts on UK servers. As of 13 September 2026 the index located no price figure, named customer or named model provider.
Questions buyers ask
Derwent Patent Search vs PatBase: which is better for prior art searching?
The grid barely separates them: PatBase sits in the top two bands on eight of fifteen AI Legal Index capability axes and Derwent Patent Search on seven of fifteen, identical on seven. Derwent's strength is its editor written index and patent office adoption. PatBase publishes more about data handling, hosting and contract terms. Searchers who will type unfiled inventions into an AI search have more to read from PatBase.
Is Derwent's AI Search trained on customer queries?
Nothing published says either way. Clarivate states that AI Search is trained and powered by the Derwent World Patents Index, its own editor written corpus, but no term or policy addresses whether the invention disclosures and queries customers enter are stored, retained or used to improve the model. PatBase states that customer data never trains its models, a commitment on its product pages rather than in its terms. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
Where is PatBase hosted?
PatBase states that its servers are in the United Kingdom, in a private cloud where a customer's searches and results remain its own, rebuilt with RWS in 2020, and that its data centers meet ISO 27001. No other region or single tenant option is offered. Derwent Patent Search names no hosting region or tenancy model for the product. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
How are Derwent Patent Search and PatBase priced?
Neither publishes a figure. PatBase's published terms license by named User ID for twelve month terms invoiced annually in advance, with users added pro rata and automatic renewal unless either side gives thirty days' notice. Derwent publishes no charging model, and Clarivate's terms treat pricing as confidential information the customer may not disclose. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
What do Derwent Patent Search and PatBase both leave unpublished?
A recall figure and a named model. Neither measures how often its AI search misses a relevant reference, which is the failure that matters in prior art work, and neither names the model behind its AI features. Neither publishes a subprocessor list or engages patent practitioner conduct rules, and neither offers a record of AI assisted searching a firm could show a patent office or court. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
Three readings to weigh. The third party request notice signal has not been recorded for Derwent Patent Search; that is a gap in the record, not a finding about the vendor. Derwent's AI Search invites invention disclosures and nothing published says whether they are stored or reused. PatBase's training commitment sits on product pages, not in its published terms, and its ISO 27001 claim attaches to its data centers without scope. Both disclaim the accuracy of the information they supply. Derwent Patent Search and Minesoft PatBase were both verified on 13 September 2026. Neither vendor reviewed this page.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything above comes from public material on the dates shown. How the index grades.