Ankar vs Patlytics: how they compare in 2026

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.

Every Patlytics module is model output. Its modules break claims into elements, find public material showing that products practice them, build cited infringement, invalidity and essentiality charts, and construe claims from the prosecution history. They also rank portfolios against competitors' products and draft applications and office action responses. A patent agent with more than 200 skills reasons over the results and packages them as emails, Word files or spreadsheets. Patlytics says its models are fine tuned on more than 50 million public patents, and its subprocessors include OpenAI, Anthropic and Google Gemini. Without the models, Patlytics has no product.

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.

Every claim chart cell in Patlytics cites its source, with pin cites to paragraphs, columns and figures in invalidity charts and to the public material behind each infringement match. Patlytics says it audits sources for relevance and shows color coded confidence indicators. It claims 99 percent or better verbatim excerpt accuracy and says its models are built to guard against hallucinations, without describing a test set or naming failure modes.

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.

The Patlytics agent suggests edits line by line for the user to accept or reject, and Patlytics says every step ends with the user's approval. Claim charts mark each element as a match or for review, and freedom to operate output is framed for review before a product ships. The terms require customers to evaluate all output for accuracy and completeness before relying on it. Patlytics plans autonomous agents for drafting and research, and nothing states what any agent may complete without approval or where it stops.

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.

Quinn Emanuel partner Yury Kapgan describes using Patlytics for infringement analysis, prior art, invalidity contentions, claim construction and charting. Patlytics announced adoptions by Foley & Lardner and Aspen Aerogels in November and December 2025. Asahi Kasei's Naoto Hori reports infringement investigations cut from months to hours, and $1,000 to $5,000 saved per detection report. An unnamed Am Law 100 practice group cut a 120 patent project from 100 hours to 20, turning a $47,500 cost into $38,000 of margin. An unnamed biotech saves $5,000 to $7,500 per application, and Rivian, Polsinelli, Cleary Gottlieb, Wiggin and Dana, Repligen and Klein Tools also appear as customers. The case studies are undated and give the customers' own estimates without a method. Patlytics reports 55 percent of the Am Law 100 on the platform, against 40 percent in April 2026.

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.

Training on customer materials is barred by Patlytics' terms, which also keep usage data free of customer materials and require deletion of confidential information after the agreement ends. Customer data is siloed and segregated by organization, encrypted, and reached through least privilege access. Patlytics' March 2026 checklist for practitioners covers Model Rules 1.1 and 1.6, the USPTO Rules of Professional Conduct and the section 102 prior disclosure bars. That checklist asks whether work product is segregated by project and client matter, and Patlytics does not say that its own product segregates that way. The terms do not address privilege or how the model providers handle customer data.

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.

Patlytics' terms describe the service as a tool and supporting resource for patent work that gives no legal advice and no guidance on professional or ethical duties to clients. Customers and their users remain solely responsible for evaluating, verifying and applying professional judgment to all AI output. Authorized users must be the customer's employees unless an order form allows otherwise. Patlytics' March 2026 checklist for practitioners covers confidentiality under Model Rule 1.6 and competence under Model Rule 1.1. Limits by jurisdiction are not addressed.

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.

Patlytics holds ISO/IEC 42001:2023 certification for its AI management system, and its trust center offers the certificate and full audit report through an access request. Controls listed there include a documented board charter and control self assessments. Patlytics claims 99 percent or better verbatim excerpt accuracy and says outputs carry source auditing and confidence indicators, but publishes no test method or result. No accountable owner for the models is named, and nothing is disclosed about uneven output across technical fields, jurisdictions or claim types.

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.

Data is encrypted at rest and in transit, with AES 256 for files in My Drive, and access follows least privilege. User history is kept for 90 days and can be deleted, and the terms require deletion of the customer's confidential information promptly after the agreement ends. Deletion of customer data on exit is among its listed controls, and nine subprocessors appear with roles and regions, all in the United States. Systems are monitored around the clock with on call staff in North America and Asia Pacific, and databases replicate to a secondary data center. Patlytics publishes no incident notification commitment or breach timeline.

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.

Under terms updated 27 August 2025, Patlytics gives an indemnity against third party claims that the platform's underlying software infringes intellectual property. Output generated from customer inputs or specifications, and use in combination with other products, is excluded. Remedies are a license, a modification or replacement, or termination with a pro rata refund of prepaid fees. Liability is capped at fees paid in the prior 12 months, with indemnity obligations outside the cap and consequential damages excluded. Patlytics warrants professional work by skilled staff and no malicious code, gives no warranty on the accuracy of AI output, and leaves reliance on output to the customer. A cybersecurity insurance document sits on its trust center behind an access request, and the terms promise no insurance.

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.

Patlytics' plugin for ChatGPT Enterprise, built on Patlytics MCP, gives existing customers five read only tools. They cover semantic patent retrieval, patent lookup with full claims, non patent literature, the organization's private portfolios and its Patent Vault. Each user signs in with a Patlytics account, and results stay scoped to the organization. RPX Empower partnered with Patlytics in February 2026, and a Relativity integration has a waitlist after Relativity's investment. The agent exports Word and Excel files. No docketing, IP management or document management system is named.

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.

Patlytics runs as a cloud service on Amazon Web Services across multiple United States regions, with Auth0 and Datadog also in the United States. Its language model providers, OpenAI, Anthropic and Google Gemini, and its document parser, Reducto, are listed in the United States. Databases replicate in real time to a secondary data center. No customer choice of region, single tenant option or on premises deployment is published.

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.

Patlytics' trust center offers its ISO 27001:2022 and ISO/IEC 42001:2023 certificates and full reports and its SOC 2 Type 2 report through an access request. A penetration test summary, a security overview, its cybersecurity insurance and its policies sit behind the same request. NCC Group and A-LIGN are named as its penetration testers. Controls listed openly include encryption key restrictions, firewall access limits, background checks, vulnerability monitoring and deletion of customer data on exit. Report dates and auditors sit inside the documents, which open after the request.

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.

OpenAI, Anthropic and Google's Gemini are Patlytics' language model subprocessors, with Reducto for AI document parsing, each in the United States. Patlytics says its own models are fine tuned on more than 50 million public patents. No model or version is named for any module, and no notice is promised when a provider changes. Its ChatGPT plugin, launched on 17 September 2026, keeps zero data retention through the integration.

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.

No price, tier or unit of charge is published. Patlytics' terms put fees in an order form, with annual renewals, 60 days' notice before a renewal increase, and no refund of fees paid. Patlytics states its value in savings instead, claiming claim charts that once took more than $30,000 of attorney time finished for a fraction of that.

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.

Patlytics serves law firms and in house IP teams, and limits authorized users to the customer's employees unless an order form says otherwise. Modules cover infringement, invalidity, freedom to operate across jurisdictions, portfolio analysis, claim construction, drafting, office actions and invention disclosures. Standard essential patent work spans cellular, wireless, video and audio coding and memory standards, and life sciences drafting adds sequence listings and chemical structures. Patlytics cites more than 130 million patents and 300 million literature items, while its invalidity page gives 70 million patent publications and 250 million non patent publications. No list of patent offices or date range is given for the collection.