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Paxton AI
Self serve legal AI assistant aimed at solo attorneys, small and midsize firms and in house teams, covering research, drafting, document analysis, medical chronologies and medical billing summaries. Publishes a per user price and sells through a free trial and self signup rather than a sales process. Ships the Paxton AI Citator, a patent pending tool that reports whether a case has been overruled or affirmed, and an AI Confidence Indicator.
Publishes a source library naming every federal and state database behind its research. Founded 2023, based in Palo Alto, California.
Paxton AI, 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 models are the product. Research, drafting, document analysis, medical chronologies and the citator are all generative or machine learning capabilities, and there is no underlying practice system that would function without them.
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.
The disclosure is substantive, with a real gap. The vendor built its own citator and publishes precision, recall and F1 tables for it. It publishes measured accuracy of 93.82 percent on average on the Stanford Legal Hallucination Benchmark, broken out by task including case existence, citation retrieval and court identification. It also publishes 94 percent on the Stanford Casehold dataset of 2,400 examples for the citator.
Both are public academic datasets, so an outsider can in principle run them again. Two gaps remain. The published results date from 2024, and no republication against the current product was found. The AI Confidence Indicator is a confidence signal rather than an explicit path for declining to answer.
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 product is user directed rather than agentic, and the vendor states plainly across the site that it provides self help services at the user's specific direction and cannot give advice, which is an oversight posture of a kind. The AI Confidence Indicator is a real review aid. What is not published is a described control structure: what the system does on its own, what a lawyer must approve, and what happens after an output is wrong.
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.
An unlabeled customer logo strip and three attributed testimonials from named individuals at named organizations stand in for deployment evidence. No figures, no dates, no described method, and no case study were found. A 2025 Legalweek Leaders in Tech Law award and a 22 million dollar Series A are recognition and funding rather than production evidence. Individual logos in the strip were not corroborated.
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.
Confidentiality is asserted in general terms, and the documents behind it point the other way. The home page describes a secure closed model prioritizing the privacy of legal inquiries. The sitewide footer states that communications with the vendor are not protected by attorney client privilege or as work product. The terms of service require a user to warrant that submissions do not constitute confidential information, in a section scoped to questions, comments, feedback and other information about the Services rather than to uploaded documents.
The privacy policy is scoped to website and account information, lists no document or prompt data, and states that the vendor does not process sensitive information, on a product that takes in medical records. No training prohibition, retention period for uploaded documents or segregation by matter was found in any of them.
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.
Paxton publishes a real position on the advice line in a footer on every page. It states that Paxton is not a law firm and not a substitute for an attorney, that communications are not protected by attorney client privilege or as work product, and that it gives no advice, explanation, opinion or recommendation about legal rights, remedies, defenses, options, selection of forms or strategies. Jurisdiction is addressed in part: the terms state the service is not intended for use where that would be contrary to local law.
Nothing published addresses a lawyer's competence and supervision duties. The self help framing sits oddly against marketing aimed at attorneys, so it is not clear who the disclaimer is written for.
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.
No governance position for model behavior was found: no named internal owner, no testing regime before release, no responsible AI statement, and nothing on uneven output across matter types, parties or populations. The trust center lists security control families, which is a different subject. The white papers index was not reviewed item by item and may say more.
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.
A generic privacy policy covers the website without addressing what happens to documents and prompts after processing. The security page does publish real controls: encryption in transit and at rest, quarterly access reviews on a least access principle, vendor risk management and a security development lifecycle, and the open trust center lists control families. But the privacy policy is scoped to account and marketing data, its retention section speaks only to the life of an account, and the terms say only that certain transmitted data is maintained to manage performance of the service.
No retention period for uploaded documents, no subprocessor list, and no incident or breach notification practice is published.
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.
Liability is addressed only through a standard limitation clause that disclaims the exposure the product creates. The published terms disclaim all warranties, including any representation about the accuracy or completeness of content, and cap total liability at the amount paid in the six months before the claim. They require the user to indemnify the vendor and state that the vendor has no liability for loss or corruption of transmitted data.
No indemnity running to the customer, warranty on output or insurance position was found. The allocation of loss is published, and a buyer can read it before signing.
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.
No integration into document management, matter management, contract lifecycle or filing systems was found in vendor material, and the platform navigation lists none. A third party review reports a Microsoft Word add in; that is not vendor material. The product is positioned as a browser based tool for solo and small firm users.
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.
The service is hosted, and the tenancy model is not stated. The terms of service state that the service is hosted in the United States and that a user accessing it from elsewhere consents to transfer and processing there, which is a real residency statement. Not found: any tenancy model, regional option, single tenant or private deployment, or statement of where processing happens as distinct from where data is stored.
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.
Badges appear with no scope, no date and no report available. There is an open trust center that anyone can reach. It lists SOC 2, ISO 27001 and HIPAA as compliant and GDPR as in progress, and names security control families. It carries no attestation report, coverage period, audit scope or auditor name. The security page says the vendor rigorously adheres to these standards, which is adherence rather than attestation.
The pricing page describes the platform as HIPAA certified, though HIPAA has no certification scheme. Its annual plan card cites ISO 20701, which is not an existing standard, while the monthly card on the same page cites ISO 27001. Separately, section 1 of the terms of service states that the services are not tailored to comply with industry specific regulations including HIPAA, and that a user whose interactions are subject to such laws may not use them. The product sells medical chronology and medical billing features alongside its marketing claim of HIPAA compliance.
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.
No model provider is named, no architecture is described, no subprocessor list exists, and there is no commitment to notify customers when the supply chain changes. The vendor refers to operating within a secure closed model without identifying what sits underneath.
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.
Real pricing is published for part of the range, and Enterprise pricing is withheld. The pricing page publishes a figure, a unit and a term: $499 per user per month, or $2,999 per user per year billed annually, with the plan contents itemized. Signup is self serve with a 7 day free trial, and the terms of service disclose the exact card authorization hold of $499. The Enterprise plan is custom and based on volume, with no figure, floor or seat minimum published. What implementation adds is not stated for either plan.
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.
Segment and practice coverage is described with substance. Named segments are solo attorneys, small and midsize firms and in house teams, with dedicated pages for personal injury, family law, employment law, criminal law and corporate law. The research coverage page names every federal and state database included by jurisdiction and court, which tells a buyer where research coverage stops. Not found: any treatment of government or court use, and any statement of which firm sizes or practice areas the product is not built for.
7 public documents
The public pages on file for Paxton AI, 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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paxton.ai/legal/terms-of-service2 signals
Client Data in Training, Prompt and Output Retention
Read Aug 29, 2026
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Fabricated Citation Record
Read Oct 2, 2026
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paxton.ai1 signal
Billing and Fee Posture
Read Aug 29, 2026
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paxton.ai/coverage1 signal
Primary Law Corpus Provenance
Read Aug 29, 2026
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Good Law Verification
Read Aug 29, 2026
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Refusal and Uncertainty Behavior
Read Aug 29, 2026
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paxton.ai/research1 signal
Court Disclosure Support
Read Aug 29, 2026
$499 per user/month, or $2,999 per user/year
- One lawyer pays $499 a month, or $2,999 for a whole year if you pay up front.
- The yearly deal works out to about half the monthly price.
- There is a free 7 day trial, but you have to put a card in first.
- A whole firm pays a custom price that depends on how many cases it handles, and that number is not published.
- Once you pay, there are no refunds.
Per user, per month or per year, published openly with no sales process required. Two tiers. Individual is self serve at the published rate and the plan contents are itemized, covering drafting, the research knowledge base across federal and all 50 state jurisdictions, file analysis, and medical chronologies and billing summaries. Enterprise is custom and volume based, aligned to firm case volume, with no figure, no floor and no seat minimum published, and adds firm wide access, onboarding, administrative controls and priority support.
A 7 day free trial requires a card and the terms of service disclose a temporary authorization hold of $499. All purchases are stated to be non refundable and cancellation takes effect at the end of the paid term.
Implementation: Not stated for either tier. The enterprise tier lists dedicated onboarding and workflow setup as included benefits without a fee.
Note: Captured from the vendor pricing page on 29 Aug 2026. Figures are published by the vendor, not estimated by third parties. Third party pricing pages for this vendor carry a wide spread of conflicting figures, including $199, $250 and $299 per month. None of those matched the vendor page on the date checked, and the vendor page was read directly.
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.
Read the terms of service dated 27 Feb 2026, the privacy policy dated 20 Feb 2026 and the security page on 29 Aug 2026. No located term or policy addresses training on customer content either way. The contribution license clause grants the vendor rights to access, store, process and use information the user provides, following the privacy policy, and the privacy policy is scoped to website and account information and does not mention uploaded documents, prompts or model training. Home page language about a secure closed model is not a training commitment.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged in public materials with no stated period.
The terms of service acknowledge that data transmitted to the service is maintained for the purpose of managing performance, with no period stated and no customer control described. The privacy policy retention section speaks only to personal information for the life of an account and does not address documents or prompts. No zero retention option was located as of 29 Aug 2026.
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.
Searched the home page, platform pages, security page, the open trust center, the terms of service and the help center index on 29 Aug 2026. No vendor material addresses ethical walls or matter level segregation. No document management system integration was located either, so there is no source system permission model for retrieval to inherit. The security page documents least access controls for vendor personnel, which is a different question.
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.
Read the terms of service and the privacy policy in full on 29 Aug 2026. Neither contains a government or law enforcement request clause. The privacy policy section on when and with whom information is shared names only business transfers such as a merger or acquisition. No commitment to notify a customer of a third party request was located, and no transparency report exists.
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 vendor publishes a research coverage page that names its source databases individually rather than by jurisdiction alone. It lists the United States Code, the Constitution, the Code of Federal Regulations, every federal circuit and the Supreme Court, and six named administrative tribunals. For each state and territory it lists the statutes, administrative code, court rules and named courts. No license or public domain basis is stated for any of it, and no update cadence or lag is published.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
The vendor computes and surfaces subsequent history itself, with the method described.
The vendor built and surfaces its own treatment signal, the Paxton AI Citator, described as patent pending, which reports whether a case has been overruled, affirmed, questioned or cited by later cases and returns explanations in Bluebook format. The method is described and quantified: evaluated against the Stanford Casehold dataset of 2,400 examples with published precision, recall and F1 figures by case type. It is the vendor's own signal rather than a licensed commercial citator such as Shepard's or KeyCite. The published evaluation dates from 2024 and no republication against the current product was located.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The product exposes a confidence or grounding score without an explicit abstention path.
The product exposes an AI Confidence Indicator, announced alongside the vendor's benchmark results and described as helping a lawyer judge the reliability of a response. Searched the site, platform pages, benchmark posts and help center index on 29 Aug 2026 and located no explicit no answer or abstention path, and no published statement of what the product does when it cannot ground an answer.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
A court record exists in which the product is mentioned and the court’s findings address the filer’s verification failure rather than the product.
One court record mentions this product, and the court's findings address the lawyer's failure to verify rather than the product's output. In Flycatcher Corp. Ltd. v. Affable Avenue LLC (S.D.N.Y., No. 24 Civ. 9429, opinion and order of 5 February 2026), counsel told the court that after running arguments through vLex he put his motion brief through Paxton AI as a cite checker and then through a further AI check. He said the cite checker introduced citation errors that he took for corrections; the court found that explanation not credible, found that he never cite checked the brief himself, struck the filings and entered default judgment against his client.
The court made no finding about Paxton AI's own output. The AI Hallucination Cases database maintained by Damien Charlotin was searched on 2 October 2026 and returns this matter as the only record naming the product.
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.
Searched the home page, platform and practice area pages, the news and insights index, the white papers index and the webinars page on 29 Aug 2026. No engagement with any named ethics opinion was located, including ABA Formal Opinion 512 and state bar guidance. The sitewide footer carries a specific unauthorized practice disclaimer, which is a statement about the vendor's own role rather than engagement with the guidance its buyers are bound by.
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.
Vendor material is framed around time saved, describing streamlined document analysis to save time and accelerate decisions, with testimonials quoting time savings. Searched the site, platform pages, help center index and legal pages on 29 Aug 2026 and located no per matter record of AI assisted work intended for fee purposes, and no published guidance on billing, fee or client disclosure treatment.
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.
The open trust center publishes compliance badges and security control families with no gate, which is a real access route. What a firm would need to satisfy a client AI clause is absent: searched the trust center, the security page, the terms of service and the privacy policy on 29 Aug 2026 and located no subprocessor list, no statement of which model providers see customer content, and no client facing consent or notification material. There is also no data processing agreement published.
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.
Some elements of a disclosure record are available. The product returns citations with the relevant sources highlighted, and the citator produces a treatment result with a written explanation, so sources retrieved and their status can be shown per answer. Two elements are missing: the model used is not disclosed anywhere on the property, and no per document export covering model, sources and human verification together was located as of 29 Aug 2026.