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InnovationQ+

InnovationQ+ is IP.com's search and analytics platform for patent and nonpatent literature, used for prior art discovery, patentability screening, freedom to operate work, landscape mapping and competitive monitoring. It searches 154 patent authorities at once across more than 190 million IP data points, and offers full text access to IEEE alongside IP.com's own Prior Art Database of technical disclosures. Users can search by concept, keyword, hybrid, image or whole document, so a draft invention disclosure or a full claim can serve as the query.

Analysis covers trends, leading filers, geography and gaps, plus scored reports: the self service Patent Vitality Report, and the Portfolio Intelligence Report, which scores each patent in a portfolio on fourteen factors against a peer group of the hundred most similar patents. The AI has two parts. Semantic Gist, the retrieval engine, is built in house and covered by United States Patents 8,539,000 and 8,548,951. CompassAI, the reasoning layer, works only on evidence Semantic Gist retrieves, assessing novelty, similarity and technical differences, and is described as supporting expert judgment rather than replacing it. IP.com, Inc. has operated since 1994 and also offers InnovationQ, IQ Ideas+ and analyst delivered search services.

Capability grades

All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.

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

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.

Retrieval in InnovationQ+ is model work: Semantic Gist combines a probabilistic language model with a deep neural network, and it is what turns a query into results. CompassAI sits above it as a separate reasoning layer assessing novelty, similarity and technical differences, so both finding and judging run through named models. The platform is also a content and analytics business: customers pay for coverage of 154 patent authorities, more than 190 million IP data points, full text IEEE access and IP.com's own Prior Art Database, none of which depends on the models.

Keyword, image and document search are offered alongside concept search, and the Portfolio Intelligence Report rests on a published fourteen factor framework measured against a peer group, not on a generative step. Without the AI, a customer still has a large licensed corpus with keyword search and structured scoring.

Source: Vendor Published
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

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.

IP.com's published technical white paper frames the problem in retrieval terms, polysemy and synonymy in patent vocabulary, and reviews the alternatives it rejected, naming latent semantic analysis and its successors and citing evidence that they degrade at scale. It describes the design used: probabilistic language modeling for detailed document representation, combined with a deep neural network that compresses those into compact semantic signatures, the two used together for coarse filtering and fine ranking.

A further concept layer uses graph clustering and automatic recognition of technical phrases. The paper names the patents covering the work and cites the research it draws on. On the reasoning side, outputs are grounded in retrieved evidence, and every insight stays linked to its source documents. IP.com says it benchmarks retrieval and reasoning against real IP use cases on relevance, recall and expert validated outcomes, but publishes no result, including no recall figure.

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

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.

In InnovationQ+, retrieval is separated from reasoning so that the reasoning layer can only work on evidence the retrieval layer produced, which IP.com describes as reasoning from verified evidence within defined constraints. CompassAI is said to support expert judgment rather than replace it, and outputs are described as guided and grounded in evidence rather than free form text. Insights stay linked to the source documents, users can inspect how conclusions were formed and check them against the original material, and private interaction histories are kept so an organization can revisit earlier analyses.

No threshold at which a step proceeds without review, confidence signal on a retrieved result or reasoning output, distinction between supervised and unsupervised modes, or account of what happens when an output is found wrong is published.

Source: Vendor Published
CC on Operational and Outcome EvidenceCustomer logos and unattributed testimonials stand in for evidence, or results are quoted with no basis stated.

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 published InnovationQ+ figures describe the product rather than deployments: 154 patent authorities searchable in one query, more than 190 million IP data points, and a claim of 30 percent faster per search. Buyers are named by function: engineering and R&D, IP strategy and IP professionals. IP.com says patent offices are among its customers and that its Prior Art Database is a required reference for international examiners under Rule 34 of the Patent Cooperation Treaty.

No customer is named on the site. The one published case study, on finding critical prior art at a Fortune 500 company, is anonymized and requires contact details to read. The 30 percent figure has no baseline, method or sample. The stronger outcome figures on the IP.com site, 90 percent lower patentability evaluation costs and 80 percent faster idea to report, belong to IQ Ideas+, a different product.

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

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.

IP.com says customer data is never used to train IP.com's models or any third party models, which closes the route by which customer material would otherwise reach an outside provider of the reasoning layer. Confidentiality is independently attested: the SOC 2 Type 2 examination expressly covers Confidentiality of the Software Services System, including, in IP.com's words, protection of sensitive information from unauthorized disclosure across collection, creation, use, processing, transmission and storage.

Interaction histories are described as private and secure. Privilege and work product are not addressed by name, and retention is stated only as a fact, that histories are kept, with no period, deletion right or position at the end of a subscription. The query IP.com invites is a draft invention disclosure or full claim set submitted before filing, which destroys novelty if it escapes and is often privileged.

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

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.

CompassAI is designed to support expert judgment, not replace it, IP.com states repeatedly, with the platform keeping experts in control with transparency at every step and outputs guided and grounded in evidence so a professional can check them. One sentence names a specific professional boundary: AI speeds analysis without obscuring judgment or overstepping the inventorship guidelines set by the USPTO. Inventorship is the question AI assisted invention raises for patent practice.

The audience is named plainly, covering R&D professionals, IP managers and legal counsel, so nonlawyers are intended users. Nothing addresses supervision or competence: who should run which capability, what review a supervising practitioner should apply to a prior art result, or what training is expected. No jurisdiction limit is stated, and the duty to disclose material prior art, which this product touches most directly, is not addressed.

Source: Vendor Published
BB on AI Governance and Bias DisclosureA published governance framework with real substance, short of testing results or a named owner.

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.

IP.com presents separating retrieval from reasoning as the governance mechanism itself: the reasoning layer is limited to evidence already retrieved, which IP.com says reduces hallucinations and unintended outputs by design, with safeguards built in rather than added later. Around that sit a Responsible AI page, a Responsible AI white paper, and a stated improvement loop in which models are refined against performance data and expert feedback.

Data governance is concrete: training exclusion extends to third party models, and organizations are isolated on the platform. A measurement program is described, with relevance, recall and expert validated outcomes named as metrics. No named accountable person, committee or function, adopted external framework, testing regime before release beyond the general benchmarking statement, or result is published. Bias is not addressed, although the retrieval engine's synonym handling is learned from historical patent drafting.

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

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.

Customer data is never used to train IP.com's models or any third party models, a commitment stated without qualification. Security is independently attested: a SOC 2 Type 2 examination covering Security, Availability and Confidentiality of the Software Services System, described as testing both the design and the operating effectiveness of controls. Its scope is stated to cover protection of information through collection, creation, use, processing, transmission and storage, and a public trust center carries that summary.

The design intent is documented: safeguards built into the architecture, the reasoning layer limited to retrieved evidence, and private interaction histories kept under access control. No subprocessor list is published and no processor is named, though the training commitment expressly contemplates third party models. No retention period or deletion commitment is published for queries or interaction histories, and no incident or breach notification commitment to customers is published, though the SOC 2 scope implies an incident program exists.

Source: Vendor Published
CC on AI Liability and RecourseLiability is addressed only through a standard limitation clause that disclaims the exposure the product creates.

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.

The only published allocation of risk is IP.com's website Terms and Conditions, updated 28 June 2024. They provide the services and content as is and as available, exclude every implied warranty including fitness for purpose and noninfringement, and say IP.com makes no commitment about the content or the reliability of the services. They exclude liability for lost profits, revenue or data and for indirect or consequential damage, and cap total liability for any claim at what the user paid in the twelve months before it arose.

The user indemnifies IP.com for any claim arising from use of the content. The same terms grant IP.com a worldwide license to use, reproduce, publish and distribute content a user uploads, written for defensive publishing. Nothing addresses the AI features: no warranty or remedy for a missed prior art reference or a wrong novelty assessment from CompassAI, no vendor indemnity and no insurance position. Enterprise terms are handled through the account team and are not published.

Source: Vendor Published
CC on Practice Systems Integration DepthIntegrations are listed as logos or marked as coming, with no documentation an implementer could use.

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.

IP.com presents the Innovation Power Suite as products sharing the Semantic Gist retrieval layer, so InnovationQ+ sits alongside InnovationQ, IQ Ideas+ and the report products. The Patent Vitality Report runs self service inside InnovationQ+ with results in minutes. Content integration is real: full text IEEE is delivered in the workflow alongside the Prior Art Database and patent data from 154 authorities. Output leaves the platform as structured reports for sharing with stakeholders.

No connector catalog is published, no outside system is named as supported, and no API or developer documentation is published for this product. Nothing describes how results, saved work or portfolio data would move into a docketing, IP management or document management system.

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

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.

Full isolation of customer data from other organizations on the platform is a stated governance commitment, reinforced by the SOC 2 Type 2 examination covering Confidentiality and by the description of interaction histories as private and secure. Delivery is a hosted browser platform, with the Innovation Power Suite at ip.com and enterprise deployment handled through the account team. No data center location, country of processing or region choice is stated, and no cloud provider is named.

The tenancy model itself is not described: IP.com states that organizations are isolated without saying whether through single tenant deployment or logical separation.

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

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.

IP.com has undergone a SOC 2 Type 2 examination, which it describes as confirming both the design and the operating effectiveness of controls. The scope is stated as controls relevant to Security, Availability and Confidentiality of the Software Services System. It covers protection of information during collection, creation, use, processing, transmission and storage, access to information and services, and protection of sensitive information from unauthorized disclosure.

A public trust center, hosted on a third party trust platform, carries this without a sales conversation, and IP.com says it maintains certifications and has regular third party audits. No report, examination period, date or auditor is published, so the scope is stated but not the evidence or how current it is. How the underlying documents are accessed is not stated.

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

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.

IP.com names Semantic Gist and describes its design in technical terms: probabilistic language modeling for detailed document representations, and a deep neural network compressing those into compact semantic signatures. The two work together, with signatures driving coarse filtering and the language model driving precise ranking, plus a concept layer built on language modeling, graph clustering and automatic phrase recognition.

Its origin is stated plainly: the engine was built entirely in house and is not based on open source search frameworks or licensed third party components. Ownership is evidenced by United States Patents 8,539,000 and 8,548,951, with applications pending. Nothing says whether CompassAI, the reasoning layer, is built in house or runs on a third party foundation model, no version is identified, and no change notice is offered; IP.com describes continuous improvement instead.

Source: Vendor Published
DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.

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. No pricing page appears among IP.com's Why IP.com pages, IP Suite products, professional services lines, industry and use case pages, resources, company pages, trust center or legal pages. Every commercial route leads to Book a Demo, Request a Demo, Contact Sales or a lead form, and even the white papers and sample reports require contact details.

Nothing states the charging model, so whether InnovationQ+ is licensed per named user, per concurrent seat, by search volume, by module or by corpus access is not stated, nor what IEEE full text access costs relative to the base platform, or whether the Patent Vitality Report is included or metered. The one relative price published, that defensive publishing costs as little as two percent of a patent filing, concerns InnovationQ, the free publishing interface, not this product.

Source: Vendor Published
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

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 spans 154 patent authorities searchable in one query and more than 190 million IP data points across patent and nonpatent literature, by IP.com's count. Full text IEEE access sits alongside IP.com's own Prior Art Database of technical disclosures. Search modes are listed as concept, keyword, hybrid, image and whole document, so image based prior art and search by disclosure are both supported. Buyers are named as engineering and R&D, IP strategy and IP professionals, with patent offices stated as institutional customers.

Use cases cover prior art and patentability, freedom to operate, invalidity, landscape mapping, competitor analysis, portfolio analysis, licensing opportunities and merger and acquisition diligence. No technology area is named as better or worse covered, no jurisdiction among the 154 is identified as out of scope, nothing says which languages the retrieval engine handles well, and nothing separates what InnovationQ+ covers from the other suite products.

Source: Vendor Published
Sources on file

4 public documents

The public pages on file for InnovationQ+, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.

Legal Signals

What each signal means

A signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.

Confidentiality and Privilege

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Never, in policy only

A public policy or trust page states no training on customer content, with no matching term located in the published agreement.

IP.com states that customer data is never used to train IP.com's own models or any third party models. It sits under a heading IP.com calls Data Isolation and Model Governance, alongside a commitment that customer data stays isolated from other organizations. The design supports the claim: the reasoning layer is limited to evidence the retrieval engine has already produced, and the retrieval engine is said to be trained on large domain specific collections of technical documents, not customer input. No contract term on training is published either way, so the commitment rests on policy.

Source: Vendor PublishedCustomer data is never used to train IP.com's models or any third-party modelsAs of Sep 13, 2026Evidence

Prompt and Output Retention

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

Disclosed without a period

Retention is acknowledged in public materials with no stated period.

IP.com says private, secure interaction histories are kept, so organizations can refer to earlier analyses and show how evidence informed decisions. No retention period, deletion right, way for a user or administrator to purge a history, or position on histories when a subscription ends is published. The query IP.com invites is a draft invention disclosure, a claim set or a technical description submitted before filing, since search by example is a headline feature; that material is unpublished, destroys novelty if it escapes, and is often privileged.

Source: Vendor PublishedPrivate, secure interaction histories are retainedAs of Sep 13, 2026Evidence

Ethical Walls and Matter Segregation

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

Not addressed

No located public material addresses walls or matter level segregation.

No public material describes how access is controlled between users inside a customer organization. IP.com publishes a separation commitment for a different boundary: customer data stays fully isolated from other organizations on the platform. That separates tenants and says nothing about separation between colleagues in one subscription. No roles are listed, no administrator capability is described, and nothing says whether one user's saved searches, interaction histories or reports are visible to others on the same account. IP.com keeps interaction histories by design, and who can read them is not stated.

Source: Vendor PublishedAs of Sep 13, 2026Evidence

Third Party Request and Subpoena Notice

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

Not addressed

No located term or policy addresses third party requests for customer data.

The IP.com Terms and Conditions (updated 28 June 2024), the IP.com Privacy Policy (updated 25 October 2023) and the Enterprise Security and Compliance Architecture page do not address a subpoena, court order or government request for customer data, and none says whether IP.com would tell the customer first.

Source: Vendor PublishedAs of Oct 3, 2026Evidence
Accuracy and Authority

Primary Law Corpus Provenance

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

Sources named and licensed

The vendor names its primary law sources and the license or public domain basis for each, with an update cadence.

IP.com identifies three bodies of material. First, licensed third party content: full text IEEE, which IP.com says is available in the workflow here and not on other platforms. Second, its own asset: the IP.com Prior Art Database of nonpatent literature and technical disclosures, owned and run by IP.com, published to and citable by patent examiners worldwide, and a required reference for international examiners under Rule 34 of the Patent Cooperation Treaty.

Third, public patent documents from 154 patent authorities, together making up more than 190 million IP data points. The Semantic Gist white paper describes the model's own training data as large, domain specific collections of real technical documents, with synonym handling learned from how terms occur together rather than from a hand built dictionary. No licensor other than IEEE is named, so the terms on which other material is held are not stated, and no coverage dates are published for any source.

Source: Vendor Publishedfull-text access to IEEE — the most-cited technical source in patent prosecutionAs of Sep 13, 2026Evidence

Good Law Verification

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

Not addressed

No located public material addresses whether authority is checked for subsequent history.

No public material says whether the status of a retrieved patent is checked or shown. On a patent platform, the equivalent of good law is whether a patent is still in force. Nothing says InnovationQ+ tracks legal status, shows whether a patent is granted, lapsed, expired or revoked, reports remaining term, or flags opposition or litigation history. The product pages, AI pages, coverage description and Semantic Gist white paper describe the platform in terms of retrieval, analytics and scoring, not status.

Two related features do not answer the question. The Patent Vitality Report and Portfolio Intelligence Report score assets on a fourteen factor framework against a peer group, a quality judgment that says nothing about whether a patent is still enforceable. Competitor filings can be tracked under subsidiary names, which resolves ownership, not status.

Source: Vendor PublishedAs of Sep 13, 2026Evidence

Refusal and Uncertainty Behavior

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

Not addressed

No located public material addresses what the product does when it cannot ground an answer.

No public material says what the system does when it cannot produce a reliable answer. IP.com's material covers prevention and consistency, not uncertainty. Hallucination is addressed through design: separating retrieval from reasoning is said to reduce hallucinations and unintended outputs, and outputs are described as guided and grounded in retrieved evidence rather than free form text. The retrieval engine is said to return the same relevant evidence as work evolves rather than varying with how a prompt is phrased.

Nothing says a low confidence retrieval is flagged, a reasoning output carries a confidence signal, the system reports when a query falls outside what the models handle well, or it declines rather than answering thinly. The failure this product faces is silent omission: a prior art reference that never surfaces just shortens the list, with no visible error. The white paper itself calls missing a relevant document the most serious risk in IP search, yet describes nothing that tells a searcher when it has happened.

Source: Vendor PublishedAs of Sep 13, 2026Evidence

Fabricated Citation Record

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

None located

No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.

The AI Hallucination Cases database maintained by Damien Charlotin, and other reporting and trackers covering court decisions on fabricated AI citations, record no decision, sanction or disciplinary referral naming IP.com, InnovationQ, InnovationQ+, Semantic Gist or CompassAI. The field now includes patent practice. In Lexos Media IP LLC v Overstock.com, counsel were fined 12,000 dollars in total after briefs contained fabricated citations and quotations, and the responsible attorney was referred for state discipline; the tool involved was a general purpose chatbot.

IP.com publishes its own commentary on this risk, arguing that models trained to predict the next word were not designed to retrieve facts. It names the consequences for IP work: applications built on fictitious prior art, liability where faulty citations drive decisions, and defensive publications resting on wrong references. This product retrieves documents from curated collections rather than generating citations, so its exposure is low.

Source: Bar Guidance or Court RecordAs of Oct 7, 2026
Professional Responsibility

Bar Guidance Alignment

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

Named guidance addressed

Public materials engage with at least one named ethics opinion.

IP.com says its AI speeds analysis without obscuring judgment or overstepping the inventorship guidelines set by the USPTO. Inventorship is the doctrinal question AI assisted invention raises in patent practice, the USPTO has issued guidance on it, and IP.com names both the authority and the limit it places on the product's role. A supporting design position sits alongside it: the reasoning layer supports expert judgment rather than replacing it, with human oversight described as built into every layer.

The scope is narrow: one authority, in one jurisdiction, on one question. Nothing maps the product to guidance elsewhere, and nothing addresses the duty to disclose material prior art, where a prior art platform's output meets a practitioner's obligation. No bar association, ethics opinion or conduct rule is cited.

Source: Vendor Publishedwithout obscuring judgment or overstepping the inventorship guidelines established by USPTOAs of Sep 13, 2026Evidence

Billing and Fee Posture

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

Not addressed

The product sits inside a lawyer to client fee relationship and no located public material addresses billing, fee or disclosure treatment, with no savings claim published either.

Nothing published addresses what happens to the bill when AI assisted work takes an hour instead of six. Patent firms bill prior art searching to clients, and corporate IP departments buy it as a service; IP.com sells both the software and analyst delivered search services, so it works on both sides. Its efficiency claim for this product is 30 percent faster per search, and its broader argument is that the platform lets teams run novelty work internally instead of hiring outside counsel.

No record of AI assisted searching for each matter is described, nothing marks results as retrieved by the engine rather than built by an analyst, and no guidance is published on fee or disclosure treatment for a firm passing search costs to a client. With no published charging model, the platform cost in a piece of work is not stated. IP.com's one cost comparison, defensive publishing at as little as two percent of a patent filing, concerns InnovationQ, a different product.

Source: Vendor PublishedAs of Sep 13, 2026Evidence

Outside Counsel Guideline Readiness

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

Not addressed

No located public material supports a client side disclosure obligation.

IP.com publishes no subprocessor list and names no processor, though its training commitment, drafted to cover third party models, concedes such models are contemplated. No model provider statement covers the reasoning layer: Semantic Gist is documented as built in house on no licensed components, but CompassAI's origin is not stated, so which AI providers see a client's unfiled invention is not answered for the reasoning half of the system.

No data processing addendum is published. The trust center is public and ungated at summary level, with a SOC 2 Type 2 scope statement a firm could forward as evidence of IP.com's controls; it shows how the vendor is audited, not who else touches the data or which models read it.

Source: Vendor PublishedAs of Sep 13, 2026Evidence

Court Disclosure Support

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

Partial record

Some elements of the record are available, short of a document level export.

IP.com keeps private, secure interaction histories, expressly so organizations can refer to earlier analyses and show how evidence informed decisions. Explainability is described as designed for review and audit, supporting internal review, legal validation and executive oversight, and every insight stays linked to its source documents so a reader can see how a conclusion was formed and check it against the original.

Nothing says the history can be exported, so the record may be viewable in the platform but not portable. No certification, declaration or search report template is offered, and no guidance addresses whether or how use of the engines should be recorded or disclosed to a patent office, an opposing party or a client.

Source: Vendor Publishedenabling organizations to reference prior analyses and demonstrate how evidence informed decisionsAs of Sep 13, 2026Evidence
Contact

Correct a record, or ask how something was graded

Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 462 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 21, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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