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IPRally

IPRally is a patent search and analysis platform for corporate IP departments, R&D teams, patent attorneys and search professionals. Its core is a proprietary graph based AI, trained on millions of patent examiner citations, that runs prior art searches from a plain text description, a publication number, an image or a search graph instead of Boolean queries, across what the company describes as 120 million or more patents in 58 jurisdictions, with machine translation of documents not in English.

Review tools include Ask AI for single patents or whole result sets, AI highlighting and relevance scoring, relevance feedback, custom classifiers trained on a customer's own data, and Graph AI monitoring of technologies and competitors. IPRally Agent takes an invention disclosure or target document, confirms the claims and features with the user, searches, and returns a claim chart with prior art mapped to each claim and a written novelty or invalidity report for professional review.

Generative features are optional, marked in the interface and can be switched off by an administrator. Plans are Individual and Team, the latter with unlimited seats. Published Generative AI Additional Terms name Anthropic, OpenAI and Google as possible model providers and require that none train on customer data. IPRally Technologies Oy is based in Helsinki, holds ISO 27001 certification and runs its servers in the EU.

Compared with

IPRally, head to head

Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.

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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.

AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.

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 machine learning is what the buyer pays for. IPRally's proprietary Graph AI, described as trained on millions of patent examiner citations, runs the search: a user enters a plain text description, a publication number, an image or a hand drawn search graph, and the model returns ranked prior art without Boolean construction. The company says this replaces query building rather than speeding it up, and the Agent page argues that generic large language models cannot search the patent index and that an agent is only as good as the search technology underneath.

Without the models, what remains is a full text patent database with the Boolean search and filters IPRally offers as a secondary option, which is not what anyone buys.

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.

Grounding is documented and inspectable, and measurement stops short of a test an outsider could run. The Agent page says every search case can be opened, reasoning and citations are given per feature, and every claim assessment, feature mapping and relevance score traces to a source document in IPRally's patent index. The retrieval method is described: semantic search over graph representations, patent families, and following examiner citations outward from the strongest documents.

One figure is published, a 14 percent improvement in search recall over a full text single search, but the baseline is IPRally's own, no test set is described, and no failure mode is named. The Generative AI Additional Terms of 14 March 2025 disclaim any warranty that outputs are correct and recommend checking them against a primary source. The site gives two corpus sizes, 120 million patents on the pricing page and 130 million on the Agent page. The product retrieves patent documents, not legal authority, so citator checks do not apply.

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.

The control structure is well described, with two gaps. What runs unattended is stated: Agent analyzes an uploaded disclosure, identifies claims and features, searches and builds the feature chart. Where it stops is stated too: Agent verifies its findings with the user before searching, and depth is a user setting, from quick triage to litigation grade digging. Every search case can be opened, reasoning and citations are given per feature, and output hands off into a full IPRally project for a professional to continue, described as designed for professional review, not blind trust.

The Generative AI Additional Terms add that generative features are always marked before use, are enabled by an administrator and can be disabled at any time. Nothing published says what happens after the system is wrong, and no abstention path is described for Ask AI.

Source: Vendor Published
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

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.

One named customer has a figure, with no date or method behind it. The TLB case study names TLB GmbH, the central technology transfer office for universities in Baden-Wurttemberg, quotes Dr Frank Schlotter, Authorized Officer, and reports about a 50 percent cut in time spent on patent searches, linked to Smart search for query preparation and Ask AI during review. The PDF describes the earlier process of extensive keyword planning, manual Boolean queries and another AI tool the team was not satisfied with.

Five more case studies name Unilever, RPX Corporation, Ossur, Metsa Group and Perl IP Consulting, and a testimonial on the Agent page names Josh Walling, Senior Patent Agent at Milwaukee Tool. No case study is dated, and the headline figure is the customer's own estimate of time saved. Only the TLB study was opened; the others may say more.

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.

The commitments a buyer most wants are in the agreement, and segregation is unanswered. The Terms of Service of 5 April 2024 say IPRally will not own user generated content, will not share, distribute or disclose it to any third party, and will use it only to perform the Service, and give the customer the right to delete all of it permanently. The Generative AI Additional Terms require any outside provider not to train on input or output or claim ownership, and say user generated content is never sent outside IPRally's cloud unless the customer approves.

Privilege and work product are not mentioned anywhere read, and nothing addresses separation between users or matters within an account beyond company specific encryption keys and user level feature rights. That may suffice for an in house IP department, but IPRally also sells to law firms, and for them the matter level question is open.

Source: Vendor Published
CC on UPL and Professional Responsibility PostureA boilerplate disclaimer sits in the terms while the marketing describes the product in advice terms, or the intended audience is left ambiguous.

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.

What is published concerns the reliability of AI output, not professional responsibility. The Generative AI Additional Terms make users solely responsible for generated content, tell them to verify it independently, and place the entire risk on them, and the Agent page says Agent searches while the user decides. Nothing says IPRally is not a law firm or does not give legal advice, sets a jurisdiction limit, addresses a practitioner's supervision or competence duties, or engages with ABA Formal Opinion 512, USPTO practitioner guidance or any EPO or national equivalent.

This matters because the Agent page markets a should we file signal to R&D and innovation teams described as needing no patent expertise, putting a patentability assessment in front of nonpractitioners with only a general verification disclaimer.

Source: Vendor Published
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

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.

Principles are published, with no mechanism behind them. The about page states three company values: transparency, defined as clear, explainable AI so a user always knows how decisions are made; simplicity; and reliability. The features page repeats explainability as a product property. That is a principle specific to AI. There is no responsible AI or AI governance page, no ISO 42001 or EU AI Act position, no one named as accountable for model behavior, no testing regime before release, and no evaluation of uneven output for a system that classifies technology and scores relevance. The marking of generative features and the customer's ability to switch them off are covered under oversight.

Source: Vendor Published
AA on AI Safety and Data StewardshipRetention, deletion, access control, subprocessors and incident practice are all published, current, and specific enough to hold the vendor to.

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.

Retention, deletion, access control, subprocessors and incident practice are all published and specific. The privacy policy, updated 12 December 2025, keeps personal data for at most twelve months plus a normal backup period after the reason for holding it ends. The Terms of Service let the customer permanently delete all user generated content, and the Data Processing Agreement requires deletion or return of personal data on termination.

Access is limited to authorized staff bound by confidentiality, with SSO, optional adaptive multifactor authentication, user level feature rights and company specific encryption keys. DPA Annex B names nine subprocessors, Okta, Google Cloud EMEA, HubSpot, Intercom, Planhat, Mailgun, Zapier, Slack and Pendo, each with address, purpose, processing location and data categories. DPA clause 9 requires breach notice without undue delay and sets out four required contents, alongside a Vulnerability Disclosure Policy last modified 17 February 2026 and a public status page.

Retention is framed around personal data, with no separate period for patent content or AI inputs, and the subprocessor list is dated January 2025.

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 allocation of loss is published and readable before signing, and runs entirely against the buyer. The Terms of Service cap liability at the amount paid in the twelve months before the event, and say IPRally is not responsible for damage caused by correct or incorrect data in the Service. The Generative AI Additional Terms provide outputs as is with no warranty of correctness, place the entire risk on the user, and disclaim liability for outside model services and for security failures at third party providers.

The Data Processing Agreement has the same cap but excludes willful misconduct and gross negligence from it. No indemnity runs to the customer, no warranty covers output, and no insurance position is stated. A buyer can read the whole allocation before signing.

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.

The product largely stands alone. What is documented is export rather than integration: custom export to Excel, PDF and Word, sharing of searches, collections and monitoring within the account, optional single sign on, and an unspecified reference to tool interoperability on the features page. No connection to an IP management or docketing system, document management system or patent office filing system was found, and there is no integrations page.

A company blog post dated 23 July 2026 says a new IPRally API has shipped and MCP support is coming; the future half is not evidence today. A help center collection on product news, data coverage and interoperability, with three articles, was not opened and could change this. Checked the home page, features, pricing, the product navigation, the legal hub and the help center collection list.

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.

Residency is answered plainly and tenancy is not. The privacy policy says IPRally's servers are in the European Union, and the subprocessor annex names Google Cloud EMEA Limited of Dublin as the main cloud provider processing in the EU, with a processing location for each of the other eight subprocessors. DPA clause 4 bars transfer of personal data outside the EU or EEA without the customer's prior written authorization and requires standard contractual clauses for any transfer.

The AI question is answered too: the Generative AI Additional Terms separate In-Cloud Services, running inside IPRally's cloud, from External Services reached by API, say core models are hosted by IPRally, and commit that user generated content is not sent outside that environment without customer approval. Nothing says whether the platform is single tenant or multitenant, and the EU is the only location offered.

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.

The certification is real and stated on the home and features pages as ISO 27001 certification of the information security management system. No scope, certificate date or period, or auditor is published on any readable page, so a buyer cannot confirm it is current. A trust center at trust.iprally.com, linked from the home page and footer and hosted on Vanta, returned an empty page frame on every attempt, and a search did not surface its contents. It may say more. On the pages that loaded, a named standard appears without scope, date or a route to the report.

Source: Vendor Published
AA on Model Supply Chain DisclosureThe models underneath are named, their providers identified, where they run is stated, and the vendor commits to notifying customers when any of that changes.

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 model supply chain is disclosed in a contract, not a marketing page. The Generative AI Additional Terms of 14 March 2025 name Anthropic PBC and OpenAI LLC as External Services reached by API, and Google LLC as an In-Cloud Service, covering Gemini models and Model Garden models that meet stated requirements, with links to each provider's terms. External Services host models outside IPRally's cloud and In-Cloud Services run within it, and the features page adds that IPRally hosts its core AI models itself.

Every provider must meet minimum requirements: no training on input or output and no ownership claim over either. Providers may be added or removed at IPRally's sole discretion, but the list sits in a published agreement whose changes are posted, with material changes notified by email or at login under the Terms of Service, so customers can see when it changes.

Source: Vendor Published
BB on Commercial TransparencyReal pricing is published for part of the range, with enterprise tiers withheld, or the unit and structure are stated without the figure.

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.

The unit and structure are published without a figure. Two plans are named, Individual for one user and Team for two to unlimited users, so the unit is the seat. A comparison table of about sixty items covers search, Boolean, review, AI assistants, monitoring, collections, collaboration, classification, coverage, security and support, each marked included, optional or coming soon. Paid extras are named: custom taxonomy AI classifiers, AI classification of monitoring results, simplified R&D licenses, SSO and adaptive multifactor authentication.

A three day free trial is self serve. No rate, band, floor or currency appears, the Team plan routes to Contact Sales, and Agent is described as value based and agreed per customer. No volume bands or currencies are given, and nothing says what implementation adds.

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 is described in substance, and the outer boundary is left open. Five role pages address the patent searcher, analyst, manager, attorney and head of IP, and the Agent page explains what IP leaders, patent professionals, R&D and innovation teams, and law firms each get. Five use cases are supported: novelty and patentability, invalidity, state of the art, freedom to operate and classification. Coverage is 58 jurisdictions and 120 million or more patents with machine translation.

Customers range from corporate IP departments such as Unilever, Bosch and Nestle to the Danish Patent Office, technology transfer offices such as TLB, and firms such as Perl IP Consulting and Laine IP. Some limits are stated per feature: Agent supports novelty and invalidity, with freedom to operate on the roadmap and Boolean monitoring coming soon. Nothing states limits on team or portfolio size, or that the platform covers patents rather than the wider IP estate.

Source: Vendor Published
Sources on file

2 public documents

The public pages on file for IPRally, 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.

Pricing

No published figure

  • IPRally charges by the person using it, and there are two plans.
  • One is for a single user working alone; the other is for a team, and that one lets you add as many people as you want.
  • The website shows a long list of exactly which features you get on each plan, and which ones cost extra, like the custom classifier and the single sign-on.
  • What it never shows is the price. There is no number anywhere, so you have to contact their sales team to find out.
  • You can try it free for three days first, but that is a trial and not a free version you can keep.

The structure is published in detail, with no figure anywhere. Two plans are named: Individual, for one user, and Team, for two to unlimited users, so the unit is the seat. A comparison table of about sixty items shows what each plan includes, marked included, optional or coming soon, across search, Boolean search and filters, review, AI assistants, monitoring, collections, collaboration, classification, coverage, security and authentication, and training and support.

Paid extras are named: custom taxonomy AI classifiers, AI classification of monitoring results, simplified licenses for R&D users, single sign on and adaptive multifactor authentication. Coverage is 58 jurisdictions and 120 million or more patents. A three day self serve trial is offered, which is a trial, not a free tier. The Team plan routes to Contact Sales, enterprise plans are tailored, and IPRally Agent is priced by value and agreed per customer. No rate, band, floor or currency was found on 1 September 2026, and no entry price is recorded.

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 the contract

The published terms prohibit training on customer content. Not a policy page, the agreement.

The prohibition sits in the agreements and covers both IPRally and its providers. The Terms of Service of 5 April 2024 limit IPRally's use of user generated content to performing the Service, and say it will not own the content or disclose it to any third party, which rules out training without using the word. The Generative AI Additional Terms of 14 March 2025 require any outside or in cloud provider not to use input, prompts or output to train its models and not to claim ownership.

The home page adds that IPRally's own AI is trained only on existing patent data. The recorded quote is the provider requirement, which uses explicit training language; IPRally's own commitment is the purpose limit in the Terms.

Source: Vendor Publisheddo not use the input content or prompts for training their machine learning modelsAs of Sep 1, 2026Evidence

Prompt and Output Retention

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

Customer controlled, no zero option

The customer controls the retention window, by product configuration or by contractual instruction, but zero retention is not stated as available.

No retention period for prompts or outputs is published, and no zero-retention option is stated, but the customer holds a contractual deletion right over the material. The Terms of Service allow the customer to permanently delete all user-generated content, subject to ordinary backup storage periods, and the Generative AI Additional Terms define prompts as built from user input forming part of that same user-generated content, so the right reaches what a user typed into Ask AI or a search field.

The privacy policy's twelve-month retention figure governs personal data rather than patent content or AI inputs. The control is a delete-on-demand right in the agreement rather than a configurable retention window in the product.

Source: Vendor PublishedYou may permanently delete all your User-generated contentAs of Sep 1, 2026Evidence

Ethical Walls and Matter Segregation

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

Own model, documented

The product maintains its own permission model, documented, requiring the firm to keep it aligned.

IPRally runs its own permission model, documented at user and company level rather than matter level. The pricing comparison lists user level feature rights, single sign on, optional adaptive multifactor authentication and company specific encryption keys, and the Terms of Service describe admin users setting license counts and turning features on or off for some or all users. Sharing searches, collections and monitoring is a deliberate act, not a default.

The ethical wall question matters less here than on a product built on a firm's documents, because retrieval runs over a public patent collection. Nothing addresses separation between matters or teams within one customer account.

Source: Vendor PublishedUser-level feature rights managementAs of Sep 1, 2026Evidence

Third Party Request and Subpoena Notice

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

Notice committed

Terms commit to notice where lawfully permitted. No transparency report located.

A commitment exists but is narrower than the question. Data Processing Agreement clause 3(A) requires IPRally to process personal data only on the customer's written instructions unless compelled by law, and then to tell the customer of the legal requirement first, unless the law forbids it. That is the standard GDPR notice before disclosure. It covers personal data under the DPA only; no matching clause for user generated content or search history was found in the Terms of Service, and the privacy policy reserves the right to disclose personal data to authorities under a court order or subpoena without a notice duty. No transparency report was found on 1 September 2026.

Source: Vendor Publishedinform the Customer of that legal requirement before processingAs of Sep 1, 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, basis unstated

Sources are identified without stating the license or rights basis.

The product does not retrieve case law; its corpus is patent literature and it is identified by scale and by jurisdiction rather than by license. The pricing page states coverage of 58 jurisdictions and 120 million or more patents with machine translations of non-English documents and downloadable PDFs, while the Agent page gives 130 million or more for the same index, a discrepancy noted rather than resolved. The training signal behind the ranking is named specifically as millions of patent examiner citations.

The Terms of Service name Google Patents and Espacenet as third-party resources the Service may link to. No license, rights basis or update cadence for the underlying patent data is stated anywhere located on 1 September 2026.

Source: Vendor PublishedAs of Sep 1, 2026

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 citator applies. The product retrieves and analyzes patent documents rather than legal authority with a later history to check, so there is no treatment signal and no good law question. The nearest equivalent is register status: the pricing comparison lists bibliographic data, legal statuses and full specifications among review features, so a user can see a patent's status, which records the register rather than judging whether an authority still stands. Searched the features page, the pricing comparison, the Agent page and the use case pages on 1 September 2026.

Source: Operator VerifiedAs of Sep 1, 2026

Refusal and Uncertainty Behavior

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

Confidence signal only

The product exposes a confidence or grounding score without an explicit abstention path.

A relevance signal is shown, and an abstention path is not. The pricing comparison lists AI and Boolean relevancy scores as shipped features, and relevance feedback lets a user flag strong results to find similar ones, so each retrieved document carries a graded score. That measures retrieval relevance, not confidence in a generated answer. Nothing says what Ask AI or Multi-patent Ask AI does when the documents do not support an answer, and no low certainty path is documented.

The Generative AI Additional Terms tell users to verify outputs against a primary source, which puts the duty on the reader rather than describing system behavior.

Source: Vendor PublishedAs of Sep 1, 2026

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.

Searched the AI Hallucination Cases database maintained by Damien Charlotin at HEC Paris, along with 2026 sanctions trackers and trade coverage, on 1 September 2026, by company and product name. No court order, opinion or disciplinary record naming IPRally or IPRally Technologies was found. This describes the public record, not the product. IPRally retrieves real patent documents and its generative features summarize and analyze them, rather than producing citations to legal authority for filing.

Source: Operator VerifiedAs of Sep 1, 2026
Professional Responsibility

Bar Guidance Alignment

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

Not addressed

No located public material engages with bar or ethics guidance.

No engagement with any professional responsibility guidance was located. Nothing addresses ABA Formal Opinion 512, USPTO guidance for practitioners on artificial intelligence, EPO or national patent attorney guidance, or any state bar opinion, and no ethics or professional responsibility page exists on the property. This is a European vendor selling to patent attorneys in multiple jurisdictions as well as to US firms, and none of the relevant regimes is named.

Searched the home page, the features page, the Agent page, the five solutions pages listed in the navigation, the legal hub carrying all four agreements, the about page and the PR and media page on 1 September 2026.

Source: Operator VerifiedAs of Sep 1, 2026

Billing and Fee Posture

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

Savings claims only

Public materials claim time savings without addressing billing or disclosure, and the product sits inside a fee relationship between a lawyer and a client where those savings would change the bill.

Time savings are the central marketing claim and the client side of that equation is never addressed. The TLB case study reports an approximate 50 percent reduction in search time, the Agent page is built on the promise of minutes rather than weeks, and it positions directly against the cost of outsourced search, contrasting reports that cost thousands with a predictable subscription. No guidance accompanies any of it on how a firm or a tech transfer office should bill for AI-assisted search work or disclose it to the client paying for the assessment. No per-matter record of AI-assisted work is described that a firm could interrogate for billing purposes.

Source: Vendor PublishedAs of Sep 1, 2026

Outside Counsel Guideline Readiness

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

Disclosure pack published

A subprocessor and model provider list plus client facing disclosure material is published or available without an agreement in place.

Both documents a client's AI clause asks for are published, and neither requires an agreement to obtain. DPA Annex B, dated 24 January 2025, lists nine named subprocessors with addresses, purposes, processing locations and data categories. The Generative AI Additional Terms name the model providers, Anthropic PBC, OpenAI LLC and Google LLC, say which run inside IPRally's cloud and which outside, and set minimum requirements for each: no training on input or output and no ownership claim.

The same document can be forwarded to a client: it describes what leaves the environment on an Ask AI query, gives a worked example, and records that an administrator can switch generative features off entirely.

Source: Vendor PublishedAs of Sep 1, 2026

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.

Part of a record exists, and no document level export is described. Under the Generative AI Additional Terms, generative output is always marked with an identifier, so users can tell what AI produced, and the Agent page says every search case can be opened with reasoning and citations per feature, covering what was retrieved and why. Relevance marks and comments record who reviewed a document. No export ties a passage to the model that produced it, since the identifier shows generative AI was used but not which of the three named providers ran, and no certification document is offered. This fits prosecution and portfolio work imperfectly.

Source: Vendor PublishedAs of Sep 1, 2026
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 16, 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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