Docket Alarm vs UniCourt: how they compare in 2026
Docket Alarm and UniCourt both sell access to United States court records, and they are evenly matched. Both publish every rate and pass court fees through at the government's own price. They separate on shape. UniCourt is built to move data. It delivers through REST APIs, bulk downloads, webhooks and data shares pushed into a customer's own warehouse, with output aligned to SALI industry standards and billable API calls itemized by name. Docket Alarm is built to be searched and read. Its court by court coverage page lists all 94 federal district courts, all 13 circuits, every bankruptcy court and the Supreme Court. It also lists 43 or more state systems, with a not yet covered category on the legend, and named agencies with a coverage status against each. Neither publishes a security attestation covering the product itself.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. 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.
Talk to the Docket answers plain English questions about a case, and AI Summaries condense a filing on opening. Extraction turns docket entries and filings into the normalized party, counsel and entry structure that the API returns and the analytics run on. Take all of that away and what remains is the business Docket Alarm has sold for a decade and still leads with: full text search across a billion filings, alerts, docket tracking, direct PACER retrieval and bulk download. The published plans are priced in units of the non AI product, at 4 dollars a document, 3 a docket update, 2 a day for tracking and 1 a search. The analytics products are sold separately as the Federal Analytics, Easy Analytics and Analytics Workbench add ons.
UniCourt's machine learning turns scattered court filings into a usable dataset, on a delivery platform that would still work without it. UniCourt describes AI data extraction that pulls data from deep in dockets and documents, with standardized, deduplicated output, and names DEEP as its AI extraction and enrichment platform. Without the models, what remains is collection and delivery of raw court records through APIs, a real product but a much weaker one. The AI drives the core capability on top of a data pipeline.
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 AI Assistant page says the system draws only on the docket being viewed and reads the actual record from the complaint through the latest filing, including the documents behind the entries. Every statement links to its supporting entry or document, so a reader can open the source in one click. The page includes a worked example: an answer on a named 2026 Northern District of California declaratory judgment case, with a Sources list identifying the complaint and its filing date. No accuracy rate, test set, evaluation or error analysis is published. The same page states as an absolute that output carries no hallucinated facts or fabricated citations, while the vendor's own agreement says machine generated output is probabilistic and should be evaluated for accuracy, including by expert human review. The system retrieves case records rather than stating propositions of law.
Every record UniCourt returns is the actual court document or docket entry, but the AI's accuracy is not measured. A user can open and read the source behind anything the platform shows. UniCourt also publishes a real limitation: its public records policy says records may contain errors, be incomplete or inaccurate, or not be the most current, and are provided as is. What is missing is any measure of what the AI does. Extraction, standardization and deduplication are called unmatched, with no accuracy or error rate, benchmark, test set or evaluation found. Citator checks do not apply to a platform that delivers records rather than legal arguments.
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.
Each statement in an answer links to the entry or document that supports it, and the vendor says the point of that link is to let the reader decide whether the answer is correct. Where a fact is not in the record, the system is said to say so rather than fill the gap. The agreement puts supervision in writing, telling the customer to evaluate machine generated output for accuracy, including through expert human review. Nothing on the home page, AI Assistant page, API page or in the terms describes a confidence threshold or exception behavior, and there is no route to report or correct a wrong answer. The case briefing function, which the vendor says reads hundreds of docket entries and traces the procedural history unattended, has no described checkpoint between the request and the finished brief.
The extraction runs unattended and no oversight model is published. Machine learning classifies, normalizes and deduplicates docket data before a customer ever sees it, and for API and customers that output flows straight into their own systems with no review surface in between. Searched the home page, pricing page, enterprise API page, PACER API page, general disclaimer, terms of service and public records policy: nothing describes what the models decide alone, no confidence or exception handling is documented, and no correction or reporting route for mis-extracted data is published. The mitigation is structural rather than stated, in that every extracted field sits alongside a retrievable source document, so an attentive user can check any value against the original.
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.
No production evidence is published. The home page, the use cases page covering all five buyer segments, the about page, the AI Assistant page, the API page, the coverage page and the pricing page carry no named customer, attributed testimonial, case study, customer count, logo strip or figure for what changed at any organization. In their place are unattributed claims: that thousands of legal professionals rely on the platform, that the vendor has relationships with many large firms, and that it has direct partnerships with law schools, none of them named. The five example workflows on the use cases page are explicitly hypothetical. The one time saving published, that a case brief replaces two to four hours of paralegal work, is a product claim with no customer or method attached. The platform has been in market since well before its 2018 acquisition.
Logos stand in for evidence. The pricing page carries a customer strip including DLA Piper, Paul Hastings, Morrison Foerster, Alston & Bird, Akerman, Pillsbury, Manatt, Stikeman Elliott and Seyfarth Shaw, alongside CNN, The Wall Street Journal, Financial Times, NBC News, RBC, Colliers and Coindesk, which is a serious roster spanning large firms, media and financial services. Nothing sits behind it. Searched the same surfaces and located no named individual, no attributed testimonial, no case study, no figure for what any customer achieved, and no deployment scope or date. Two names in the strip are misspelled, as Seyearth Saw and Stikeman Elliot, which is a small quality signal on the one page carrying the vendor's customer evidence.
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 privacy policy recognizes that litigation work involves viewing material about adverse parties, and states that personal search history is kept strictly confidential to the user's organization and not sold to third party marketers. The terms of service, which govern, run the other way. They reserve the right to monitor and record usage, including content interactions, search history and IP addresses, and to track activity to learn more about the customer and its users. They grant the vendor an irrevocable, perpetual and sublicensable license over user content to improve its products. They disclose that a limited number of staff and third party foundational AI models may technically access user content. And the confidentiality clause excludes publicly available information, which covers nearly all of the court records in the product. Nothing reconciles the two documents. No training position, retention period, access model within a firm or treatment of privilege or work product is published. The terms, not the privacy policy, set the position.
UniCourt discloses its central confidentiality issue plainly and then leaves it unaddressed. Its CrowdSourced Library pools retrieval: whenever a user downloads a court document or docket, it is added to the library and made free to all users, which is why no court fee applies to material already pulled. The material is public court record. Sealed and restricted documents are excluded and nonpublic information is not distributed, so privileged content is not exposed. But the pattern is. The PACER API page confirms that search results show which cases are already held and when they were added and updated, so a subscriber can infer someone retrieved a docket and roughly when. Nothing says whether a firm's search history, tracked cases or saved work are visible to anyone else, and no training, retention or matter separation position was found.
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.
A clause in the terms says no legal counsel is provided: content is for practical and informative purposes, is not professional advice, creates no attorney client relationship, and users should seek qualified counsel before acting on it. A separate clause calls AI output machine generated probabilistic prediction to be evaluated for accuracy, including by expert human review, which addresses competence and supervision. The audience is defined. The services are for professional use, and consumers and nonprofessionals are expressly barred from them, so there is no consumer surface to disclose on. No bar or ethics guidance is named, including ABA Formal Opinion 512. No limit by practice jurisdiction is stated. The only geographic limit is a license restriction on using the service outside the country in the subscription agreement, which is a commercial term rather than a statement about where the answers can be relied on. None of this appears on the home page, AI Assistant page, use cases page, about page or footer.
The advice line is addressed directly in UniCourt's disclaimer. The general disclaimer says information on the site is not legal advice and that others may reach different conclusions. UniCourt disclaims all liability for actions taken or not taken based on the information, and creates no attorney client relationship by sending it. It also gives no opinion or endorsement on the quality, competence or character of any person or entity on the site. That last point matters, since the platform sells analytics on named attorneys and firms, and UniCourt declines to stand behind any conclusion a user draws about them. Missing: no bar or ethics guidance, including ABA Formal Opinion 512, and no jurisdiction or practice limits.
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.
The Clio trust center, public at trust.clio.com, has an AI section with three named topics (AI Risk Management, Third-Party AI Diligence and Employee AI Usage) and a document titled AI Overview. Docket Alarm's own site has nothing. None of the home page, AI Assistant page, use cases page, about page, coverage page, API page, privacy policy or terms has a responsible AI statement or an accountable owner. None describes testing before release or any evaluation of fairness or uneven output, and no Docket Alarm page links to the trust center. The vendor's corporate use case invites customers to search every court for a person's full litigation record before hiring an executive or onboarding a vendor, and to judge whether that person is litigious and how their cases tend to end. Nothing published addresses screening named individuals on litigation history.
Model behavior at UniCourt has no stated governance. Searched the home page, pricing page, enterprise API page, PACER API page, general disclaimer, terms of service, public records policy and privacy policy on 31 Aug 2026, plus two targeted searches for a security, trust or responsible AI page. None exists. Nothing names an accountable owner, describes testing before release, sets out a responsible AI framework, or addresses uneven output. The risk is quieter than for a product that predicts rulings, but real. Extraction decides which attorneys, firms and parties are matched to which cases, and matching errors flow into the analytics customers buy and the systems the data is pushed to.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
The privacy policy names Google App Engine as the host for all data except payments, and uses a PCI certified payment processor with card details encrypted with AES-256 and no employee access. It commits to seek consent before using information for a new purpose and offers prior versions on request. The removal route is detailed. Suppression requests are free, with a stated five business day decision window. Criteria are published both ways: cases mentioning minors are suppressed automatically, while cases of strong public interest and requests from legal professionals who want to be disassociated are refused. The vendor also notes that search engine snippets may persist for weeks because it does not control them. The policy and the terms state no retention period, no deletion route for customer account data and no access control model. They give no encryption statement beyond payment details, no subprocessor list, no breach notification practice and no date. The parent trust center publishes incident response, breach notification and backup material, but it is not linked from this site and its coverage of Docket Alarm is not stated.
Beyond a privacy policy, UniCourt publishes no security practice. The policy covers what is collected, the CCPA framework and user rights, and offers a way to request redaction of a court record that appears in search engines, a real remedy. Nothing else was found. Searched the home page, pricing page, API pages and the full published document set on 31 Aug 2026, plus two targeted searches for a security or trust page. There is no encryption standard, access control model, retention period, named subprocessor, breach notice practice or business continuity position. The privacy policy could only be read in part, so a full reading may change what is recorded here as missing.
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 terms cap total liability, whatever the cause, at one hundred dollars, and exclude indirect, special, incidental and consequential damages, including lost profits, revenue, data and opportunities. Named carve outs sit outside the limit: fraud, willful misconduct, violations of law, infringement or misappropriation of intellectual property, and breach of confidentiality. Warranties are expressly disclaimed on an as is and as available basis, including merchantability, fitness for purpose and noninfringement, with specific disclaimers that results will be accurate, reliable or free of errors. A separate clause declines to warrant AI output. The contracting entity, governing law and forum are named. Nothing runs the other way. The only indemnity runs from the customer to the vendor, no warranty attaches to output, and the agreement has no insurance position, though the parent trust center lists a liability insurance document.
UniCourt publishes its allocation of loss before signing, and is explicit about the risk its product creates. The terms of service say the subscription agreement includes the general terms, the privacy policy, the public records policy and the applicable rate schedule, which ties the published prices into the contract. The limitation clause excludes indirect, incidental, special, punitive and consequential damages in contract, tort or strict liability. It excludes any claim about the customer failing to do research or other work properly or completely, even with UniCourt's help. And it excludes any decision or action taken in reliance on information from the platform. The general disclaimer provides the service as is and disclaims all warranties, including merchantability, fitness for purpose and noninfringement. Two things could not be established from the text available on 31 Aug 2026: the liability cap, and whether any indemnity runs to the customer.
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 developer API page names its endpoints with methods and describes what each returns. Search and Search PACER query by party, attorney, court, date range, case type or full text. Get Docket returns the full docket sheet with every entry, parties, counsel, related cases and status. Get Document returns the PDF behind an entry. Track a Case is a POST that subscribes to a case or saved search, and Ask Docket exposes the AI assistant's grounded answers. A sample JSON response is published, and a full API reference sits at a public documentation path. The terms name three native integrations: Microsoft OneDrive, Dropbox and PACER ECF accounts. No practice system is named. The API page invites a firm to feed dockets into its matter management, DMS or BI stack but offers no ready connector, and nothing is published for iManage, NetDocuments, Word, Outlook, ebilling or filing. Data flows one way, out of Docket Alarm, with no sync back described.
For UniCourt, integration is the product, and it is documented to the level an implementer needs. Delivery routes are named: REST APIs, bulk downloads, webhooks, data shares into a customer's warehouse or data lake, and prebuilt integrations. Target systems are named: matter management, CRM, document management, internal legal databases, docketing and experience management systems. Output follows SALI standards, a named industry data standard. Implementers get API documentation, sample code and a Python library. Billable calls are listed as Search, Case, Download Document, Order Document Confirm and Update Cases, with all other APIs and webhooks included, so a buyer can size an integration in advance. A PACER API also shows whether a case is already held and when it was last updated, so a customer can avoid paying twice.
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 privacy policy states that all data other than payment information is stored on servers run by Google through Google App Engine, and points to Google's own privacy material. The home page, API page, coverage page, terms and privacy policy state no region, residency option or tenancy model, and nothing separates where data is processed from where it is stored. The ownership layers disagree. Docket Alarm's privacy policy names Google App Engine, while the parent trust center's infrastructure section names Amazon Web Services and publishes separate status pages for the United States, Canada, the European Union and Australia. Neither site says which applies to this product.
Nothing published on where the software runs or where customer data sits. Searched the home page, pricing page, enterprise API page, PACER API page and the full published document set on 31 Aug 2026, plus two targeted searches for a security or trust page. No hosting provider is named, no tenancy model is stated, no region or residency option is offered, and nothing distinguishes processing from storage. The gap is more consequential here than on a self-contained application, because the delivery model actively moves data into customer-controlled warehouses and lakes, so a buyer needs to know where UniCourt's side sits in order to reason about the whole pipeline, and no answer is published.
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 Clio trust center is a SafeBase portal open without a sales conversation. It names GDPR, HIPAA, SOC 1 Type 2, SOC 2 Type 2 and TX-RAMP, and states that the 2025 SOC 2 Type II report covers 1 June 2024 to 31 May 2025. It offers a penetration test summary, both SOC reports, a liability insurance document and an AI overview through a self serve access request. The portal's overview names the Vincent and vLex products, not Docket Alarm, and no page on docketalarm.com links to it; the footer carries only privacy, terms and case removal. The home page, AI Assistant page, use cases page, about page, API page, coverage page and both legal documents carry no security page, named certification, auditor, scope statement, coverage period or trust portal of Docket Alarm's own. Nothing published places the product inside an audited boundary.
No independent security attestation is published, and no security page exists. No certification is named, no auditor identified, no scope or coverage period given, no penetration testing referenced, no badge displayed and no trust center or portal exists. The absence stands out against how much else this vendor publishes: full pricing, a five-document legal set and API documentation are all open, which makes security the one area where nothing is offered.
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 terms state that a limited number of staff and third party foundational AI models used in the vendor's intelligent technology services may technically access user content. So customer material reaches an external model that is not named. Nothing on the AI Assistant page, the API page or any other Docket Alarm page names a model, provider, version or processing location, and no commitment to notify customers of a model change is published. The parent company does publish a subprocessor list naming Google Cloud, OpenAI, Anthropic and Amazon Web Services. But that portal says it covers the Vincent and vLex products, does not name Docket Alarm and is not linked from this site, so nothing ties those providers to Talk to the Docket or AI Summaries.
Nothing published about the models behind the extraction. The vendor describes AI-powered data extraction, sophisticated data normalization and an AI-driven analytics layer, and names DEEP as its AI extraction platform, but searched across the home page, pricing page, enterprise API page, PACER API page and the full document set no model provider is identified, no model or version is named, no architecture is described, no processing location is given, no subprocessor list exists and nothing commits the vendor to notifying customers when any of it changes. For a platform whose output flows automatically into customer data warehouses, the inability to tell which model produced a field, or when that changed, is a live operational question rather than a documentation nicety.
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.
Two self serve plans are published with figures. Flat-Fee costs 99 dollars a month and covers unlimited document access, case alerts, docket tracking and search, plus motion filtering. Pay-As-You-Go costs 39.99 dollars a month, with every unit priced: 4 dollars a document, 3 a docket update, 3 a day for new case alerts, 2 a day for docket tracking and 1 a search in federal courts. Three add ons are named: Federal Analytics, Easy Analytics and the Analytics Workbench. Pass through costs are explained plainly. Government fees are passed on at the government's own rate with no markup, and the PACER schedule is reproduced at 10 cents a page with a 30 page or 3 dollar cap and no cap on transcripts. Nothing is charged for a document already held, and state courts that charge fees, mostly in California, are always offered as a choice to accept or decline at the point of access. A free tier gives a stated weekly allowance of searches and document views for material already in the system, and a three day trial with no commitment is offered. API pricing goes through sales and has no published figure or unit.
The most complete pricing disclosure located in either pull. Rates are published for every self-serve tier: Personal at 49 dollars a month, Professional at 149 and Premium at 299, with annual billing shown as two months free at an effective 40.83, 124.17 and 249.17. The unit of charge is defined and so are the limits attached to it, covering searches at 50, 200 and unlimited, users at 1, 3 and 7, case tracking at 3, 15 and 50, automated searches, and case export at 1,000, with enterprise custom above that. API billing is itemized rather than gestured at, with billable calls named as Search, Case, Download Document, Order Document Confirm and Update Cases and all other APIs and webhooks stated to be included. Pass-through costs are addressed head on: court fees apply where a court charges and not where it does not, and no fee applies to material already in the CrowdSourced Library. Contract length, cancellation, plan switching, upgrade and downgrade timing and accepted payment methods are all answered, and the absence of a free trial is stated with the reason rather than left blank.
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 use cases page treats five buyer segments separately, with the question each brings and the features that answer it: litigators (docket tracking, opposing counsel and judge analytics), IP counsel (USPTO, PTAB, TTAB and ITC Section 337 work), law students (real filings and law school programs), in house counsel (portfolio litigation risk and agency enforcement) and corporate teams (counterparty and vendor screening). The API page adds four more, and the signup form lists nine organization types, including government, school and bar association. A coverage page lists courts one by one: all 94 federal district courts, all 13 circuits, every bankruptcy court and the Supreme Court, stated as complete PACER coverage. Agency tables by practice area name the USPTO, PTAB, ITC, FDA Orange Book, TTAB, US Tax Court, FERC, FTC and NLRB, each with a coverage status. State courts are listed at more than 43, and international coverage by country. The state map legend includes a not yet covered category, and a route to request a court is published.
Segments are documented by role and use case, and coverage is quantified with two real limits stated. Law firms are addressed through four named applications, covering docket research, litigation strategy, docket tracking and experience management, and insurance through litigation risk and strategy and master data management, with the buying question named in each case. Coverage is stated as more than 3,000 state and federal courts across over 40 states with more than a billion dockets and documents, all federal courts including district, bankruptcy and appellate, and a dedicated court coverage page is published for detail. Two boundaries are stated plainly: 40-plus states is not 50, and sealed or restricted documents not publicly available online are explicitly excluded. What is missing is depth within the covered states, since nothing published indicates which state systems are complete and which are partial, and the coverage page itself was not opened.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
No published term or policy states whether customer content is used to train or refine any model. What the terms do carry is a license pointing in that direction without naming it: the customer grants the vendor an irrevocable, perpetual, transferable, sublicensable, royalty free and worldwide license over user content to maintain and provide the services, to improve its products and services, and to create aggregated and deidentified information.
The same agreement expressly prohibits the customer from using the services or their content to train any AI models. The privacy policy addresses search history and marketing but not model training.
Customer data at UniCourt comes with no training position in its terms, privacy policy, pricing or API pages. Nothing says whether customer activity, search history or uploads are used to train or refine the extraction models, either way. The risk differs from a document platform, since customers retrieve public court records rather than submitting client files. But search patterns and tracked case lists are still customer specific data, and neither is addressed. The terms of service and privacy policy could only be read in part, so a full reading of either could change this.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The privacy policy states that a record of each search is kept so the user can find it later in their search history, and that search history is also used for aggregated statistics and support. The terms assert a right to monitor and record customer usage of the service, naming content interactions, search history and IP addresses, and to track activity to gather further information about the customer and its authorized users.
Neither document, nor the home page, AI Assistant page or API page, states a retention period for search history, for questions put to the AI assistant or for its answers; no deletion route is offered, and no customer configurable or zero retention setting exists.
No retention period is set for search history, saved searches, tracked case lists or exported data, and customers get no setting of their own to configure retention. One retention position is published but runs the other way, being about permanence rather than deletion: court documents and dockets retrieved by any user are added to the CrowdSourced Library and made available to all users, with no stated mechanism for removing them.
A redaction request route exists in the privacy policy for a court record appearing in online search engines, which is the closest published deletion remedy located. Both legal documents were read in fragments.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The privacy policy states that personal search history is kept strictly confidential to the user's organization, an assertion at tenant level. No mechanism accompanies it: nothing states whether one user's searches, saved work or tracked cases are visible to colleagues inside a subscribing firm on plans carrying multiple users, and no concept of a matter exists anywhere in the product. Two features cut the other way and are disclosed by the vendor: filings retrieved by any user enter a shared library available to all other users, and the terms reserve a right to monitor and record content interactions and search history that the privacy policy's confidentiality claim does not mention.
Customer separation runs against UniCourt's core design, and no separation model is set out. Any document or docket a user downloads is added to the CrowdSourced Library and made free to all users, so retrieved material is pooled across customers by design. That material is public court record and sealed or restricted documents are excluded, so no confidential content is exposed. But there is no document level separation between customers, because the product is not built for it.
Nothing covers access control within a firm on plans with up to seven users, or whether one user's saved searches or tracked cases are visible to colleagues. Checked 31 Aug 2026.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The terms list compliance with lawful requests from authorities among the reasons staff and third party foundational AI models may access user content. The confidentiality clause allows release of confidential information where needed to meet legal requirements. The terms, privacy policy, home page and footer carry no commitment to notify the customer of a subpoena or government demand, no promise to seek a waiver where notice is barred, and no transparency report. Whether a firm would learn that its search history had been demanded is left entirely to the vendor.
Compelled disclosure of customer data goes unaddressed in UniCourt's terms of service, privacy policy, records policy and disclaimer. Nothing addresses what happens if a third party, law enforcement agency or court requests customer data from UniCourt, and no commitment to notify the customer was found. No transparency report exists. The terms of service and privacy policy could only be read in part, and a compelled disclosure clause would usually sit in one of them, so a full reading could change this.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The coverage page lists the sources rather than describing them: all 94 federal district courts, all 13 circuits, every bankruptcy court and the Supreme Court through a stated direct PACER connection, and state courts in more than 43 states. Named agencies include the USPTO, PTAB, TTAB, ITC, FDA Orange Book, US Tax Court, FERC, FTC and NLRB, each with a coverage status. The rights basis is public record, stated on the removal page and reflected in the terms, which class content from government publications and public records as publicly sourced and separate it from licensed third party content.
Updates are stated to arrive in real time as new filings appear. Two limits apply: the basis is stated for the collection as a whole rather than for each source, and international courts are listed without a stated basis or supplier.
UniCourt describes where its records come from and the legal basis, but does not name its suppliers. Its public records policy says all records come from government or reputable private suppliers, that it does not distribute nonpublic information, and that records are provided as is and may contain errors or be incomplete, inaccurate or out of date. It sets out the legal basis, citing support for open court records from the Supreme Court, federal courts and state courts, and noting that public records are usually exempt from privacy laws including the CCPA.
Federal and state data are updated daily. The private suppliers are described by type, not named, so a buyer cannot trace a record to its direct source.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No citator, treatment signal or check of later history is claimed on the home page, AI Assistant page, API page or coverage page or in the terms. Docket Alarm delivers dockets, filings and court documents rather than propositions of law that need validation, and its AI assistant answers questions about a case record instead of citing authority for a legal proposition. The related statement the vendor does publish is a general one in the terms: content from courts and other official sources is provided as is, with no warranty as to accuracy or completeness.
Good law status belongs to research tools, and UniCourt's product is court data rather than legal authority. No citator, treatment signal or currency check is claimed, and none applies: UniCourt delivers dockets, filings and court documents rather than legal propositions requiring validation, and its analytics concern parties, counsel and case outcomes rather than the standing of authority. This is a question the product class does not raise rather than one the vendor has neglected.
The vendor does publish an adjacent and more relevant currency statement, that records may not be the most currently available information.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The AI Assistant page states that the system draws only on the docket being viewed, that it does not fill gaps with plausible sounding but fabricated information, and that where a fact is not in the record it says so. The design rationale is published alongside it, contrasting general purpose tools trained to sound confident with a system built so that every answer is traceable to the record. What is not published is any demonstration: no worked example of a refusal, no evaluation, no measurement of how often the behavior fires or fails, and no confidence or grounding score shown to the user.
Extracted fields arrive without any marker of how reliable the AI extraction was. No confidence score, extraction certainty indicator or error handling is documented for the AI extraction. Nothing says what the platform returns when a field cannot be reliably extracted or a court's records are unavailable. UniCourt says in general that records may be incomplete or inaccurate, but gives no signal on individual outputs.
That matters more for API and data share customers, because extracted values arrive in their own systems with no indication of reliability.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database maintained by Damien Charlotin, which tracks decisions worldwide where a court addressed hallucinated AI content and records the tool involved where known, records no case naming Docket Alarm or its company, and 2026 sanctions coverage and trade press name it in no court order, opinion or disciplinary record. This is a statement about the public record rather than a finding about the product.
One mention is not a hit: a parent company blog post uses Docket Alarm's own case data as the base for a hallucination rate, setting the tracked cases against roughly 40 million US cases filed since January 2023. There the product is the measuring tool, not the tool involved.
No court order, opinion or disciplinary record naming this product has been found as of 31 Aug 2026. Searched the AI Hallucination Cases database maintained by Damien Charlotin, which tracks court decisions on hallucinated AI content worldwide and records the tool where known, along with 2026 sanctions trackers and trade press summaries. This describes the public record on that date, within what the database covers, and is not a clearance.
UniCourt delivers actual court documents and docket entries that can be traced to source rather than generating citations, so a fabricated citation would have to come from elsewhere.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No bar or ethics authority is engaged on the home page, AI Assistant page, use cases page, about page, coverage page or API page, or in the privacy policy or terms, including ABA Formal Opinion 512 and any state bar guidance, and nothing maps the product to a professional conduct obligation. The terms do carry a clear position that the service gives no legal advice and an instruction that AI output should receive expert human review, but both are drafted to protect the vendor's position rather than to help a lawyer evidence compliance with their own duties, and neither cites the guidance those duties come from.
A clear professional-responsibility position is published without reference to any bar authority. The general disclaimer states that information on the site should not be construed as legal advice, that others may reach contrary conclusions on the same information, that no attorney-client relationship is created, and that UniCourt offers no opinion or endorsement as to the quality, competency or character of any person or entity on the site.
Searched the same surfaces on 31 Aug 2026 and located no reference to ABA Formal Opinion 512, no state bar guidance, and no mapping of the product to any professional conduct obligation. The disclaimer is the vendor protecting its own position rather than helping a lawyer meet theirs, which is why this records as not addressed despite the substantive statement.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The AI Assistant page says a full case brief is generated in seconds, against two to four hours of work for a traditional paralegal, and the use cases page describes research finishing in far less time. The pricing page, AI Assistant page, use cases page and terms describe no record of AI assisted work for each matter meant for fee purposes, and no guidance on billing, fees or client disclosure where an AI answer informs advice.
One related point concerns the vendor's own charges: unit pricing per document and per search, with court fees passed through at the government's rate without markup, gives a firm a clean disbursement to attach to a matter.
UniCourt's cost material is about its own charges, not a firm's billing to clients, and on that it is clear. Court fees pass through at cost where a court charges, and are waived where a court is free or the material is already in the CrowdSourced Library. PACER costs are framed as something the platform reduces. Searched the home page, pricing page, API pages and the published documents on 31 Aug 2026. No per matter record of AI work for fee purposes and no guidance on billing, fees or client disclosure was found. Case export exists and could support cost allocation, but nothing presents it that way.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The home page, AI Assistant page, use cases page, about page, API page, coverage page, privacy policy and terms publish no subprocessor list, named model provider, data processing agreement, trust portal, named certification, or consent or notice material for clients. The parent company's Clio trust center, open without an agreement, names Google Cloud, OpenAI, Anthropic and Amazon Web Services as subprocessors and publishes a data processing agreement.
But Docket Alarm is not named in that portal's overview, which says it covers the Vincent and vLex products, and docketalarm.com never mentions the portal.
Outside counsel guideline questions about who sits in the processing chain go unanswered, and UniCourt names no security or trust page that could answer them. Nothing that would support a client-side disclosure obligation was located: no subprocessor list, no model provider named, no trust center or portal, no named certification, no data processing agreement and no client-facing consent or notification material. The published legal set is genuinely open and covers the commercial relationship well, but none of its five documents addresses the third parties in the processing chain, so a firm asked by a client which vendors see its research activity would find nothing to answer with.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Every statement the assistant makes links to the docket entry or document behind it, and the worked example on the vendor's page shows a Sources list naming the filing and its date. The material is the court record itself, so a lawyer can produce the primary documents an answer rests on. No model is identified or versioned anywhere on the site, so which system produced an answer cannot be known, nothing records who verified it, and no export built for AI use disclosure or certification is published.
UniCourt ties every value to its source, but says nothing about the AI's role. Each value sits beside the docket entry or court document it came from, which a user can open. A lawyer relying on UniCourt data can produce the primary record, and case export moves that material out of the app. The AI layer is invisible. No model is named or versioned, nothing separates a machine extracted field from one taken directly from the court record, and no export built for a court disclosure or AI use certification was found on 31 Aug 2026. For customers pushing extracted data into a warehouse, that missing distinction is the harder problem.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Third Party Request and Subpoena Notice
- Good Law Verification
- Bar Guidance Alignment
- Outside Counsel Guideline Readiness
Which one fits
Choose Docket Alarm if
- You have to know whether your courts are covered before you buy. Docket Alarm publishes coverage court by court: all 94 federal district courts, all 13 circuits, every bankruptcy court and the Supreme Court, 43 or more state systems with a not yet covered category on the legend, named agencies including the USPTO, PTAB, TTAB, ITC, FERC, FTC and NLRB with a status against each, and a request a court route for the gaps.
- You want an answer you can open the source for. Talk to the Docket draws only on the docket being viewed, reads the documents behind the entries rather than the entry text alone, links every statement to the filing supporting it, and states where a fact is not in the record rather than filling the gap.
- You want to price the work per document. Docket Alarm publishes two self serve plans, a flat fee at $99 a month and pay as you go at $39.99 with every unit priced, reproduces the PACER fee schedule it passes through at the government's own rate, charges nothing for material already held, and publishes a free weekly allowance and a three day trial.
Choose UniCourt if
- Court data has to land in your own systems. UniCourt delivers through REST APIs, bulk downloads, webhooks and data shares pushed into a customer's warehouse or lake, aligns structured output to SALI industry standards, names matter management, CRM, document management and docketing systems as targets, and publishes API documentation, sample code, a Python library and an itemized list of which calls are billable.
- You want to size the subscription before contacting anyone. UniCourt publishes rates at all three self serve tiers, $49, $149 and $299 a month with two months free on annual billing, and states the limits attached to each on searches, users, case tracking and export, with a custom enterprise plan above them carrying API access.
- You need to know where the records come from. UniCourt publishes a dedicated public records policy stating that records are obtained from government or reputable private suppliers, that nonpublic information is not distributed and sealed or restricted documents are not available, that records are provided as is and may be incomplete or not the most current, and that federal and state data is aggregated daily.
In summary
Docket Alarm
Docket Alarm is a litigation intelligence platform built on United States court records. It holds over a billion dockets and documents from every federal court, more than 43 state systems and the USPTO, PTAB, TTAB and ITC. It offers full text search, alerting on any case, party, attorney or judge, and direct PACER retrieval, with analytics sold as add ons. According to the AI Legal Index, Docket Alarm publishes every rate and lists its coverage court by court. Its AI assistant draws only on the docket being viewed, links every statement to the entry or document behind it, and states where a fact is not in the record. It names no customer and no model or provider, and publishes no security attestation covering the product.
UniCourt
UniCourt is an API first litigation data platform that aggregates, structures and delivers United States court records. It covers more than 3,000 state and federal courts across over 40 states, using machine learning to extract data from dockets and filings, then standardize and deduplicate it into a normalized dataset. According to the AI Legal Index, UniCourt is built for delivery. Data moves through REST APIs, bulk downloads, webhooks and data shares pushed into a customer's own warehouse, with output aligned to SALI industry standards. Every self serve tier carries a published rate with stated limits. It publishes no security attestation and no residency statement, and names no model or provider.
Questions buyers ask
Docket Alarm vs UniCourt: which is better for court data?
They are evenly matched, and both publish every rate. They separate on shape rather than quality. UniCourt is built to move data into other systems, through APIs, bulk downloads, webhooks and data shares. Docket Alarm is built to be searched and read, and publishes which courts and agencies it holds and which it does not. From the AI Legal Index, based on each vendor's own published materials as of September 2, 2026. No vendor pays for placement.
How much do Docket Alarm and UniCourt cost?
Both publish everything. Docket Alarm offers a flat fee plan at $99 a month and a pay as you go plan at $39.99 with each unit priced, including $4 a document and $1 a search. UniCourt publishes three self serve tiers at $49, $149 and $299 a month, with two months free on annual billing and stated limits on searches, users, case tracking and export. API pricing on Docket Alarm is the one sales led item. From the AI Legal Index, based on each vendor's own published materials as of September 2, 2026. No vendor pays for placement.
Which one is better for piping court data into other systems?
UniCourt. Delivery is the product rather than a feature: REST APIs, bulk downloads, webhooks and data shares pushed into a warehouse or lake, with output aligned to SALI standards and named target systems including matter management, CRM and docketing. Docket Alarm publishes a real API with named endpoints and a sample response, but names no pre built connector into a practice system, and data moves one way out of the platform with no write back described. From the AI Legal Index, based on each vendor's own published materials as of September 2, 2026. No vendor pays for placement.
How do they handle court fees?
Both pass them through at cost rather than marking them up, and both waive them for material already retrieved by another subscriber. Docket Alarm reproduces the PACER schedule it charges against, at 10 cents a page with a 30 page cap, and presents for pay state courts as an accept or decline choice at the point of access. UniCourt states the principle directly: where a court charges it charges, and where a court is free it is free. From the AI Legal Index, based on each vendor's own published materials as of September 2, 2026. No vendor pays for placement.
What do Docket Alarm and UniCourt both leave unpublished?
Neither publishes a security attestation covering the product a buyer would be signing for, and neither operates a trust portal of its own. Neither names a model or a provider behind its extraction or its assistant. Neither states whether customer search activity is used to train or refine models. Neither offers a residency option or distinguishes where data is processed from where it is stored. And neither publishes an accuracy measurement for the extraction each platform is built on. From the AI Legal Index, based on each vendor's own published materials as of September 2, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
One design feature applies to both. Each platform pools what its subscribers retrieve, so a filing downloaded by one customer joins a shared library available to the others, which is why neither charges a court fee for material already held. The content is public court record and both state that sealed and restricted documents are excluded. It does mean neither offers document level separation between customers, and UniCourt's PACER API reports whether a case is already held and when it was last updated. On Docket Alarm two live documents point different ways. The privacy policy states that personal search history is kept strictly confidential to the user's organization, while the terms reserve a right to monitor and record usage including search history. Neither vendor reviewed this page.