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Ankar
Ankar is an AI platform for patent professionals, covering the work from invention capture to enforcement. Its drafting assistant learns a firm's style from prior applications and templates, then works through an application section by section with consistency checks that keep claims and description aligned; every suggestion can be accepted, edited or ignored. A patentability engine searches more than 150 million patents and publications and explains why each reference matters, with the user setting the similarity criteria and number of results.
Other modules handle office action responses, claim charts, small molecule and sequence analysis, traceable citations, and guidelines and case law, plus invention disclosure and research tools for R&D teams. An infringement detection suite returns product level matches with visual evidence, source links and technical context. Drafting works in Microsoft Word. The platform runs as a hosted service in an AWS region the customer chooses or inside the customer's own private cloud.
The terms say customer content is never used to train AI models and the customer owns all output. Named customers include Vorys, Valeo, Nexans, L'Oreal and Motorway UK. Ankar is operated by Ankar AI Ltd.
Ankar, 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.
Alternatives to Ankar
Vendors in the same categories as Ankar whose graded profiles look most alike, with a line on what each product does.
Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
- DDeepIPDeepIP is an AI patent platform that runs inside Microsoft Word, built for law firms and in house patent teams.
- CCyprisCypris is an R&D and IP intelligence platform sold by IP Web, Inc. of New York City.
- IIPRallyIPRally is a patent search and analysis platform for corporate IP departments, R&D teams, patent attorneys and search professionals.
- PPatlyticsPatlytics is an AI patent platform for law firms and in house IP teams.
- PPowerPatentPowerPatent is generative AI drafting software for patent applications, sold to patent attorneys, agents and the inventors who work with them.
- EEdgeEdge sells AI tools for patent and trademark practitioners.
Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
Capability grades
All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
The models are the product throughout, with no conventional software beneath them. Ankar calls itself AI native, and every module is a generative or machine learning capability: drafting against a learned style guide, patentability analysis over more than 150 million patents and publications, office action responses, claim charts, small molecule and sequence analysis, and infringement detection that breaks down claims and returns product level matches.
The underlying data is public patent and publication material, not a licensed content asset, so removing the models would leave a searchable bibliographic database rather than a product a firm would buy. The vendor describes the platform as an operating system for patents, spanning generation, prosecution and protection.
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, documented and sold as a named feature: Traceable Citations is one of the listed modules. Prior art comes with structured context explaining why a reference matters, how it compares and what to do next, and the vendor says the tools are not a black box, offering transparent reasoning with adjustable criteria. Infringement results carry visual evidence, source links and technical context. The risk of error is disclosed in the agreement.
Clause 7.2 says outputs may contain inaccuracies and omissions and that the legal status of generated output is uncertain, and requires the customer to review, validate and approve all output before filing or submitting it. No accuracy figure, benchmark, evaluation or test set is published, so a buyer gets a described method and a candid warning without a number to test either against.
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 oversight model is documented in three places that reinforce each other. In the contract, clause 7.2 makes the customer solely responsible for reviewing, validating and approving all output before using, filing, submitting or relying on it. It names the work it covers: patent applications, office action responses, litigation, prosecution strategy, legal analysis and client advice. The same clause says Ankar does not file, prosecute, maintain or monitor intellectual property rights and is not responsible for filing deadlines, prosecution decisions or legal positions.
In the product, every output can be edited, suggestions never overwrite, and a user can revise or override at any time. The thresholds belong to the user: the infringement module lets an IP team set similarity criteria, technical focus and number of results, and the prior art engine offers adjustable criteria. Nothing in the platform is described as acting unattended.
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.
Three customers are named with described outcomes, and two have quotes from named executives. Valeo, described as one of the world's top patent filers, worked with Ankar to modernize drafting by automating formatting and matching output to internal templates, and Murielle Khairallah, VP Intellectual Property, is quoted. Nexans used the infringement module to isolate 30 highly specific product level matches after years of generic tools, and Boris Welzer, Director IP, is quoted saying he had sought such a tool for fifteen years.
Motorway UK is named for patentability review during a surge in disclosures. Published figures include a 40 to 60 percent cut in time spent on drafting and office actions and over 90 percent adoption of the prosecution tools after trial. Vorys and L'Oreal are named elsewhere in company material. The percentage figures have no measurement basis, sample or date, and none is tied to a named customer. A case studies page exists and was not opened.
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.
Most of the confidentiality questions are answered, and privilege is not. Clause 2.3 of the terms bars Ankar from using customer content to train, retrain, fine tune or otherwise improve any AI model or to develop products or services, and extends the bar to third parties Ankar might authorize. Clause 2.2 says the customer keeps all rights in inputs and owns all outputs, with Ankar assigning any rights it might gain by law.
Clause 2.1 treats customer content as confidential by default, with no marking needed, and clause 5.2 allows disclosure only to staff and subcontractors bound by equal written duties. Deletion follows a thirty day retrieval window, and the data processing addendum adds deletion at the customer's choice with a certificate on request. Isolation is available in its strongest form through deployment in the customer's own private cloud.
Neither privilege nor work product is named anywhere, although the product handles unfiled invention disclosures and prosecution strategy.
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.
Clause 7.2 of the terms sets out a full professional responsibility position in the operative agreement. It says what the product is and is not: outputs may contain inaccuracies and omissions, the customer should not rely on them for advice of any kind, including legal advice, and output is no substitute for advice from a qualified professional. It sets the supervision duty and names the work it covers. The customer is solely responsible for reviewing, validating and approving all output before using, filing or relying on it in any patent application, office action response, litigation, prosecution strategy, legal analysis or client advice.
It marks the limit of the vendor's role: Ankar does not file, prosecute, maintain or monitor intellectual property rights and is not responsible for filing deadlines, prosecution decisions, legal positions or the customer's professional obligations. It also warns that the legal status of generated output is uncertain and that output may not attract intellectual property protection. No bar or patent office guidance is named.
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.
A design philosophy is published, and no mechanism stands behind it. Across its blog and product material the company says tools should empower experts rather than replace them, and that reasoning should be transparent and criteria adjustable by the professional. It adds that speed is worthless if a practitioner cannot stand behind the output. The product reflects this through suggestions that never overwrite and thresholds the user sets.
No responsible AI page or governance framework exists, and no person or function is named as accountable for model behavior. Nothing describes what is evaluated before a model or module change ships, and there is no ISO 42001 or equivalent. The trust center's 106 controls and ISO 27001 concern information security, not AI governance. Nothing addresses uneven output, which matters on a platform with separate small molecule and sequence modules where performance across technical fields is the open question.
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.
Most elements are strong, and one has a specific, documented gap. Retention and deletion are precise: a thirty day retrieval window after termination under clause 9.6, then destruction, and under the data processing addendum deletion or return at the customer's choice, with backups cleared on the normal cycle and a deletion certificate on request. Incident notice is without undue delay and where feasible within seventy two hours, with five listed items of content, including categories and approximate numbers of records affected.
Access control is contractual as well as technical. Accounts are per user and may not be shared, customers must report suspected unauthorized access, and clause 9.2 binds Ankar to the safeguards in its SOC 2 Type II report and ISO 27001 certification. Subprocessor terms are strong: ten days' prior written notice of any change, a right to object, similar written obligations, and Ankar liable for their performance. The gap is the list itself.
Clause 6(a) says current subprocessors are in Schedule 2, but the published addendum ends after Schedule 1, so none is named. AWS appears in the transfers clause, which identifies the infrastructure but not the AI providers.
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 in full, tiered and mutual. Clause 7.3 caps each party's total liability at the amounts paid in the twelve months before the first event giving rise to it. It sets a separate cap of twice that figure for breach of confidentiality, breach of the security commitment, or claims under the data processing addendum, the failures that would matter most to a firm handing over unfiled inventions.
Gross negligence, fraud, willful misconduct, the indemnities and material breach of the acceptable use policy sit outside the caps. Indirect and consequential damages are excluded for both sides. Clause 8.2 has Ankar defend third party claims that its own intellectual property infringes, with remedies to procure, replace or modify, or terminate with a prorated refund. Clause 6.2 warrants that the services will work substantially as documented, with termination and a prorated refund if a problem is not fixed within thirty days.
Any warranty on output is expressly disclaimed in 7.1 and 7.2, no insurance position is published, and beta services and free trials are excluded from the indemnity.
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.
One integration is named and real, and the rest is contractual scaffolding without content. Ankar has published a redesigned editing experience for native Microsoft Word compatibility, which matters on this product because patent drafting happens in Word and a tool that cannot round-trip a specification is a tool a drafter leaves. Clause 1.6 of the terms contemplates third-party integrations that a customer connects by linking authorized user accounts, and describes the risk allocation for them, but names not one such integration and states they are optional.
Beyond that nothing is published: no IP management or docketing system is named, no document management system, no patent office filing interface, no connector list and no API or developer documentation. For a platform selling across the full patent lifecycle, the absence of any named link to the docketing and IP management systems a firm already runs is the gap, and a contract clause anticipating integrations is not the same as a documented one.
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.
Two deployment models are defined in the agreement, and the customer chooses and names the region. Under clause 9, hosted delivery processes and stores customer content only in the hosting location on the order form. The data processing addendum makes this concrete. The customer picks the region at onboarding: UK and EU customers are stored and processed in UK and EU AWS regions, with Paris and London given as examples, and US customers in US AWS regions.
Clause 10 sets out the alternative of running the platform inside the customer's own private cloud. It covers the number of installations, deployment help and the customer's responsibility for its environment. It also sets minimum requirements for GPUs, runtime libraries, container orchestration, networking and identity management, timely updates, and a signed officer attestation of deletion within thirty days of termination.
Clause 10.3 says plainly that local deployment may limit Ankar's ability to maintain and support the platform, and narrows the functionality warranty to match.
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.
Two standards are named on an open trust page, and the evidence behind them is not published. The trust center at trust.ankar.ai, hosted by Bastion, needs no login. It shows ISO/IEC 27001:2022 and SOC 2 Type 2 by name, 106 controls across business operations, human resources, cloud security and application security, four documents, and a timestamp refreshed daily. Penetration testing appears among the controls. Security is also contractual: clause 9.2 of the terms makes the security commitments an obligation whose breach triggers the higher liability cap.
No auditor or certifying body is named for either standard, no report period, issue or expiry date is published, and no scope statement says which services are covered. A control count and daily timestamp show a live compliance program, not an audit opinion a reader can weigh. Whether the four documents download freely or need a request was not tested.
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 and the models behind it are not identified at all. What a reader can establish is the shape of the deployment: hosted service on AWS with the region selected by the customer, or the platform installed and operated inside the customer's own virtual private cloud, with the virtual private cloud clause naming GPU architectures, runtime libraries and container orchestration among the dependencies a customer must provision, which tells a technical reader that inference runs on infrastructure the customer controls under that option.
Clause 2.3 of the terms acknowledges third-party involvement obliquely by extending the training prohibition to third parties Ankar might authorize, which confirms that external providers exist without saying who they are. Beyond that, nothing. No model is named, no version, no provider entity, no default, and no statement of what any provider may retain. The subprocessor list that would ordinarily carry it is promised at Schedule 2 of the data processing addendum and does not appear in the published document.
No commitment to notify customers of a model change is published, though the ten day subprocessor change notice would catch a change of provider.
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 of charging are published in detail in the terms, and no figure appears. Charging is per seat. Clause 1.2 ties user accounts to the seats on the order form, and clause 3.3 bills added seats immediately and prorated, with reductions taking effect at the next invoice and no refund for the current period. Fees are invoiced annually in advance, due within thirty days, with late payment at 1.5 percent a month.
Clause 3.4 caps any renewal increase at the lesser of five percent or the rise in the UK Consumer Prices Index over the previous twelve months, with at least thirty days' notice, a term that favors the buyer. Clause 9.4 allows heavy cloud usage relative to spend to trigger a pass through of hosting costs, but only after ten days' written notice and a good faith discussion. Free trials exist under clause 4.4. There is no price, tier or pricing page; the only commercial route is Book a demo, and the currency is set on the order form.
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.
The buyer split is built into the site. Modules are divided between patent professionals, who get drafting, office action responses, claim charts, traceable citations and guidelines and case law, and R&D professionals, who get invention disclosure and research intelligence. The product is therefore sold both to the law firm or IP department and to the innovation team upstream, and named customers range from the global law firm Vorys to corporate IP teams at Valeo, Nexans and L'Oreal.
Technical coverage is stated precisely through dedicated small molecule and sequence analysis modules, which name chemistry and biotechnology as supported fields. No patent office or jurisdiction is named, so nothing says whether the drafting and office action modules are built for USPTO practice, EPO practice or both, the first question a prosecution team would ask. No firm size range is given, and nothing says where the product stops.
2 public documents
The public pages on file for Ankar, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.
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ankar.ai/terms-and-conditions3 signals
Client Data in Training, Prompt and Output Retention, Third Party Request and Subpoena Notice
Read Sep 2, 2026
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Fabricated Citation Record
Read Sep 2, 2026
No published figure
- Ankar does not publish a price. You have to book a demo and agree one.
- What the contract does tell you is how the charging works: you pay per seat, once a year, up front.
- If you add people mid-year you pay for them straight away, pro-rated. If you cut seats you do not get money back until the next bill.
- When the contract renews, they can only raise the price by 5% or UK inflation, whichever is lower, and they must tell you 30 days ahead.
- There are free trials, and if you use far more computing than you pay for they can start charging for it, but only after 10 days notice and a conversation.
Structure and unit are published in the terms of service, with no figure anywhere. The unit is the seat. Clause 1.2 ties user accounts to the seats on the order form, and clause 3.3 bills added seats immediately and prorated, with reductions at the next invoice and no refund for the current period. Fees are invoiced annually in advance and due within thirty days, with late payment at 1.5 percent a month or the legal maximum.
Currency is set on the order form. Clause 3.4 caps any renewal increase at the lesser of five percent or the rise in the UK Consumer Prices Index over the previous twelve months, with at least thirty days' notice, excluding added seats, modules or usage. Under clause 9.4, if a customer's compute or storage use is materially higher than other customers' relative to spend, Ankar may pass through part of the hosting cost.
It may do so only after ten days' written notice and a good faith discussion. Clause 9.5 allows rate limits. Free trials exist under clause 4.4, without indemnity and terminable at any time. The term is set on the order form, renewing automatically where stated, with thirty days' notice of nonrenewal from the customer or sixty from Ankar. There is no pricing page; the only commercial route is Book a demo. Verified 2 September 2026.
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The published terms prohibit training on customer content. Not a policy page, the agreement.
Clause 2.3 of the terms, headed No Training, bars Ankar from using customer content to train, retrain, fine tune or otherwise improve any AI model. It adds or to otherwise develop products or services, closing the route by which improvement language usually undoes a no training promise. It also bars Ankar from authorizing third parties to do what it may not do itself, which matters because the platform does not name its model providers.
Ankar's license over customer content is limited to providing the services, including support, enforcing the agreement and complying with law. Two related permissions are narrow. Clause 2.6 allows use of Usage Data for any lawful purpose, but defines it to exclude customer content and anything identifying the customer, a user or any of the customer's clients. The data processing addendum allows deidentified or aggregated data only where no individual can reasonably be reidentified. Clause 2.3 survives termination.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
A specific retention period is published and the customer cannot change it.
A specific period is published, and the customer cannot change it. Clause 9.6 gives a customer who asks before termination a thirty day window to retrieve its content, after which Ankar destroys it under clause 4.5. That clause requires each party to destroy or return the other's confidential information, with backups deleted on the normal cycle. Clause 2.1 defines Input and Output together as Customer Content, and clause 2.2 says the customer owns the output, so prompts and generated drafts fall within both the retrieval right and the destruction duty.
The data processing addendum adds a choice between deletion and return at clause 8, with written confirmation or a deletion certificate on request. Nothing says how long prompts, drafts or uploaded prior art persist during the subscription, and no retention setting is offered. Deployment in the customer's own private cloud keeps content in the customer's environment.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
No located public material addresses walls or matter level segregation.
Access is set per user, and segregation between matters, a firm's clients or users in one account is undescribed. Nothing describes segregation between matters, between clients of a firm, or between users inside a customer account. The access model published is per-user rather than per-matter: clause 1.2 requires an individual account for each authorized user, bars transfer or sharing of accounts, and obliges the customer to report unauthorized access.
Tenant separation is answered only in its strongest and most expensive form, since clause 10 allows the whole platform to be installed inside the customer's own virtual private cloud, which removes the question rather than answering it for hosted customers. The gap is worth naming on this product class: a patent firm routinely holds unfiled invention disclosures for competing clients in the same technical field, and conflicts walls are the mechanism that keeps them apart. Nothing published states whether one can be configured.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Terms commit to notice where lawfully permitted. No transparency report located.
The commitment is express and goes beyond notice. Clause 5.3 of the terms says a party required by law or legal process to disclose confidential information must, unless the law forbids it, give prior written notice. It must also help, at the other party's expense, to contest or limit the requirement, for example through a protective order. That covers customer material because clause 2.1 treats customer content as confidential without marking.
The duty is mutual and survives termination. The data processing addendum points the same way, requiring Ankar to tell the customer before processing personal data on a legal requirement rather than on instructions, unless the law forbids it. No transparency report was located, and nothing records how many demands have been received or answered.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
Patent documents, scientific publications and legal and office guidance all feed the product, from sources it does not name. The source material is described by volume and type and never identified. The vendor cites more than 150 million patents and publications for patentability analysis, and a Guidelines and Case Law module, so at least three kinds of material are involved: patent documents, scientific publications and legal or office guidance.
No source, patent office, database, publisher or supplier is named, no jurisdictions are listed, no update cadence is given, and no license or permission basis is described. That matters unevenly. Patent documents are public records in most countries, while scientific publications and case law reporting are commonly licensed, and nothing says how the non public part is obtained. The Guidelines and Case Law page was not opened and may say more.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
Currency of what the platform returns, from prior art status to replaced office guidance, carries no signal. Nothing addresses whether material the platform surfaces is still current. In patent work the question is less whether a case was overruled than whether a reference is still prior art, whether a patent remains in force, and whether office guidance has been replaced, and none of those is addressed. A Guidelines and Case Law module appears in the navigation; its page was not opened and may say more.
Nothing elsewhere describes a status or currency signal on what it returns. The blog tracks Federal Circuit decisions and revised USPTO guidance, which shows the vendor follows currency editorially, not that the product flags it.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No located public material addresses what the product does when it cannot ground an answer.
Transparency and user control take the place of abstention when the platform cannot ground an answer. Nothing describes what the platform does when it cannot ground an answer, and no confidence, coverage or grounding indicator is described as shown to the user. The published answer to the same underlying risk is transparency and user control rather than abstention: the vendor states that its tools are not a black box, that reasoning is transparent, that prior art is returned with structured context explaining why it matters and how it compares, and that similarity criteria and result volume are set by the user.
Clause 7.2 of the terms places the burden of judging sufficiency on the customer, requiring review, validation and approval of all output before use. That is an allocation of responsibility and a set of controls rather than an account of system behavior when retrieval returns little.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
Searched the AI Hallucination Cases database maintained by Damien Charlotin, and reporting drawing on it, on 2 September 2026 for Ankar and Ankar AI Ltd. No court order, opinion or disciplinary record naming the product was located. This is a statement about the public record rather than a finding about the product. The tracker records fabricated citations in court filings, but this product mainly produces patent applications and office action responses filed at patent offices.
There, a similar failure would surface as examiner objections or practitioner discipline rather than published sanctions orders. A published third party practitioner review found claim numbering errors in generated drafts, which is a compliance defect rather than a fabricated citation and is not recorded here.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Public materials refer to professional responsibility in general terms without naming guidance.
Professional duties are addressed directly, and no authority is named. Clause 7.2 of the terms says the customer should not rely on output for legal advice and that output is no substitute for a qualified professional. It adds that Ankar is not responsible for the professional obligations of the customer or its users, and names the work the customer must review and approve before filing. No patent office rule is cited.
Neither the USPTO Rules of Professional Conduct nor its guidance on AI in filings is named, nothing from the EPO or UK IPO appears, and no bar or professional body material is referenced. Nothing says what a practitioner must do to meet a specific duty when using the platform, beyond stating that the duty remains theirs. The company blog reports revised USPTO guidance as legal news without mapping the product to it.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
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 published with figures and nothing addresses the bill. The company states that customers report a 40 to 60 percent reduction in time spent on drafting and office actions, and frames the benefit as more time with inventors, faster filings and greater team capacity. Nothing addresses how AI-assisted work is recorded, billed or disclosed to a client, and no per matter record of AI-assisted work was located.
The gap has a specific shape in patent practice, where a substantial share of prosecution work is billed at fixed or capped fees per application rather than hourly, so the question a client would ask is less about compressed hours than about whether a fixed fee negotiated for attorney drafting still reflects the work performed. Nothing published engages that. The platform does carry audit functionality according to the data processing addendum's processing description, but it is presented as access and activity logging rather than as a billing record.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The material exists behind a sales conversation or an executed agreement.
The material exists and is not published. Clause 6(a) of the data processing addendum says Ankar's current subprocessors are listed in Schedule 2, the Subprocessor List, but the published addendum ends after Schedule 1, so the list goes to contracting customers rather than prospects. The rules around it are published: at least ten days' prior written notice of any change, a right to object on data protection grounds within ten days, written agreements imposing similar duties on each subprocessor, and Ankar liable for their performance.
Clause 5 audit rights offer SOC 2 Type II and ISO 27001 reports or summaries. AWS is named in the transfers clause, but that is infrastructure and does not tell a firm whose model saw its client's unfiled invention. No model provider is named, so a firm answering a client's AI clause today would have to request the schedule.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses court disclosure or verification certification.
Disclosure to a patent office or tribunal has raw material in the product but no record built for it. Nothing addresses disclosing AI use to a patent office or tribunal, and no exportable record per document of which model produced which passage, what was retrieved and who reviewed it is described. The product holds most of the raw material. Traceable Citations is a named module, prior art comes with source links and context, the data processing addendum mentions audit functionality, and clause 7.2 creates a contractual review and approval step that would be the natural thing to record.
None of it is presented as a disclosure record. The question is live, since patent offices have begun addressing AI in prepared filings and the duty of candor applies to what is submitted.