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Juristat
Juristat is a patent prosecution analytics and workflow platform built on United States Patent and Trademark Office data, sold to patent law firms and to corporate IP, legal operations, IP strategy and finance teams. Juristat Analytics turns data on more than ten million patent applications into examiner analytics, prosecution strategy, cost forecasting, appeals benchmarking, portfolio management, competitor comparison, outside counsel scorecards and custom reports.
Its AI-Powered Insight feature answers plain language questions from the USPTO dataset with quantified answers backed by sources. Office Action Strategy Briefs and Juristat OAR prepare and manage office action responses, and Juristat IDS generates and audits information disclosure statements by tracing patent family trees. A Data Layer with Model Context Protocol access supplies Juristat's structured patent data to customers' own AI systems.
Juristat, Inc. is based in St. Louis, Missouri, and says it serves more than a third of the top hundred patent law firms, with named quotes from Sterne Kessler, Orrick and others. Pricing is by custom quote, with a Solo tier for one user at a single price. The company publishes terms of use and a privacy policy and has a trust center on Secureframe.
Juristat, 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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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 analytics dashboards, examiner statistics, cost forecasts and appeals benchmarks are computed from USPTO data, and Juristat has sold them for more than a decade. AI-Powered Insight, the AI in OAR and IDS, and the Data Layer for customers' own AI sit on top of that analytics platform.
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.
Answers come quantified and backed by sources instead of guesses, from an AI built for patent work, grounded in Juristat's USPTO dataset and trained on live USPTO data. The underlying dataset is stated at more than ten million applications and 12.7 billion data points. No accuracy figure, test set or evaluation for the AI answers is published. The citations are to USPTO records, not case law.
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.
Administrators manage roles, thresholds and alert policies so teams and outside counsel follow the same playbook, and users can set rules and alerts to enforce prosecution policy. The platform returns exportable briefs and dashboards rather than filed documents. OAR prepares office action responses for the practitioner, and the IDS product gathers and generates statements for review. No threshold at which any output is acted on without a practitioner, and no route back after a wrong answer beyond the user's review, is published.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
The pricing page attributes quotes by name and title. Ray Millien, chief executive of Harness IP, states thirty to sixty minutes saved on average per case with Juristat OAR. A patent attorney states three new applications cover the cost of Juristat, and Sterne Kessler's chief information officer states a partnership of more than five years. Orrick, Quarles, Polsinelli, Lewis Rice, McDonnell Boehnen Hulbert & Berghoff and Barnes & Thornburg are quoted by named people.
The vendor's own figures, a sixty percent return on OAR in the first year, a 32 percent IDS cost reduction and ten to twenty percent annual cost reduction, are unattributed. No figure carries a date or method.
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 analytics and solutions pages state industry best security standards, constant monitoring and clear privacy practices, and the AI-Powered Insight page describes role and threshold administration. The Terms of Use and a Secureframe trust center are linked from the footer. Nothing on the product pages addresses training use, retention, privilege or work product, or names the model providers. Much of the product's input is public USPTO data, but OAR and IDS handle the customer's own prosecution files.
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.
No advice line or supervision statement appears on Juristat's product pages. The product is sold to patent attorneys and agents and to corporate IP teams, and the AI-Powered Insight page frames outputs as answers and briefs for practitioners. No jurisdiction limit beyond the USPTO scope 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.
Juristat publishes material on evaluating AI tools and on separating hype from practical reality, and states its AI is built for IP and grounded in trusted data. No responsible AI framework, ISO 42001 or equivalent, testing results before release, accountable owner, or statement about uneven output across art units or examiners is published.
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.
Roles, thresholds and alerts are administered by the customer, and Juristat states industry best security standards and constant monitoring. No retention period, deletion commitment, subprocessor list or incident notification practice is published. A Secureframe trust center, a privacy policy and Terms of Use are linked from the footer.
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.
No liability position is published on Juristat's product or pricing pages. A Terms of Use is linked from the site footer. Pricing is by custom quote under an order the vendor does not publish.
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 Data Layer offers Model Context Protocol access so a firm's own AI systems can draw on Juristat's structured patent data, with Sterne Kessler's chief information officer and chief operating officer quoted on its use in their AI stack. The AI-Powered Insight page states the product complements rather than replaces the system of record with analytics, AI answers, dashboards and exportable briefs. The workflow automation FAQ describes IDS output delivered to a designated inbox and OAR working without logging into new tools. No docketing or document management integration is named with what syncs in which direction.
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.
Juristat is a SaaS platform with a hosted application. No hosting provider, region, residency option or tenancy model is stated.
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 footer's Privacy and Security link resolves to a trust center hosted on Secureframe, and the analytics page states industry best security standards and constant monitoring. No standard, auditor, coverage period or access tier is named on Juristat's own pages.
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 AI is built for IP, trained on live USPTO data and grounded in Juristat's dataset, and the Data Layer supplies structured data to customers' own models. No provider, model, inference location or commitment to notify customers of changes is named.
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.
Juristat's pricing page offers a customized estimate through a four question request. It describes a Solo tier for a single practitioner at one price, with analytics and Data Layer MCP access, and frames value as ten to twenty percent of IP costs saved. The Solo tier has its own page on the resources subdomain. No per seat figure or term appears on the pricing page itself.
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.
Role pages address general counsel and heads of IP, patent attorneys and agents, legal operations, IP strategists, corporate finance and IP law firms. Use cases span forecasting, portfolio management, prosecution strategy, cost savings, competitive intelligence, outside counsel management, business development and workflow automation. The data is stated as the complete USPTO dataset, more than twenty years of patent data and a hundred million applications tracked. The USPTO scope is the stated limit, and no foreign office coverage is claimed.
3 public documents
The public pages on file for Juristat, 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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Ethical Walls and Matter Segregation, Primary Law Corpus Provenance, Court Disclosure Support
Read Sep 6, 2026
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juristat.com/pricing1 signal
Billing and Fee Posture
Read Sep 6, 2026
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Fabricated Citation Record
Read Sep 6, 2026
No published figure
- Most customers get a custom quote after answering four questions about their needs.
- One lawyer working alone can buy a Solo plan at a single fixed price.
- The company says top filers cut their patent costs by 10 to 20 percent using it.
Enterprise pricing is by customized estimate through a four question request. A Solo tier for a single practitioner is described as a single seat at one price, with Analytics and Data Layer MCP access, on a separate resources page. Value is framed as a ten to twenty percent reduction in IP costs. No figure is published on the pricing page.
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?
A published agreement or policy exists and none of it addresses the question either way, or the document that would answer it could not be read and the summary names the retrieval limit. The summary states which shape the silence takes: an improvement right granted that never names training, or no improvement right granted at all.
No published material addresses whether customer content trains models. The AI-Powered Insight page states the AI is trained on live USPTO data, which is public record, not customer content. The Terms of Use and the Secureframe trust center, both linked from the footer, were not available to read.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
No located public material states how long prompts and outputs are retained.
Questions to the AI, generated briefs and uploaded prosecution files are kept for no stated period. The analytics page states clear privacy practices without a period.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own permission model, documented, requiring the firm to keep it aligned.
Juristat maintains its own permission model. The AI-Powered Insight page states that administrators manage roles, thresholds and alert policies across teams and outside counsel, and custom dashboards are described as unique to an account. Nothing describes how one client's prosecution files are walled from another's within a firm account or how the AI respects those permissions, and no document management system's access model is inherited.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
No located term or policy addresses third party requests for customer data.
Customers have no stated right to be told when a third party demands their data. The Terms of Use and privacy policy are linked from the footer.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Sources are identified without stating the license or rights basis.
The AI answers are grounded in Juristat's dataset of USPTO prosecution records, stated as more than ten million pending, abandoned and granted applications, more than twenty years of complete patent data and 12.7 billion data points, trained on live USPTO data. Nothing states the license or public record basis on which the data is obtained, or how often it is refreshed beyond the word live.
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.
Subsequent history checks have no place in this product. The product analyzes prosecution records and examiner behavior rather than citing case law, and the appeals module benchmarks outcomes on similar cases rather than reporting treatment. The product has no citator function.
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.
Where the dataset runs out, the AI's behavior is undescribed. The AI-Powered Insight page states answers are quantified and backed by sources rather than guesses, and no abstention path or confidence signal is described.
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.
No court order, opinion or disciplinary record naming Juristat is on the public record, including the AI Hallucination Cases database maintained by Damien Charlotin. A District of Kansas order to show cause concerning patent counsel's use of unnamed generative AI tools does not name this product, and other sanctions involve general purpose chatbots. Juristat's output cites USPTO records rather than case law.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
No published material names an ethics opinion, bar rule or professional responsibility framework. Juristat publishes content for practitioners on evaluating AI tools and on billing with AI, which is commentary rather than guidance on professional duties.
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.
Law firms are a named buyer segment. Juristat has a resource called Work Smarter, Bill Smarter on how patent teams use AI, claims cost reductions of ten to twenty percent, and quotes named customers on minutes saved per case and price pressure from clients. Nothing on the pricing page or in the resources navigation records AI assisted work per matter or addresses fee disclosure.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
No subprocessor list, model provider list or forwardable disclosure material is published on Juristat's product pages or footer. A Secureframe trust center is linked from the footer.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of the record are available, short of a document level export.
AI answers are stated to be backed by sources in USPTO records, and briefs are exportable, which lets a practitioner show the data behind a strategy. Nothing states that a record of the model used and the practitioner's verification can be exported. The product's outputs inform prosecution strategy rather than court filings.