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CARET Legal
CARET Legal is a cloud practice management platform for small and mid sized law firms. It combines case management with built in email and calendaring, automated workflows, document management, contact management and client intake, a client portal, LEDES billing, integrated payments, and full legal accounting including trust accounting, with reporting on higher tiers. Its AI began with Quick Summary, a document summary feature launched in beta in September 2023 on Microsoft's Azure OpenAI Service.
It has grown into CARET AI, which works from the matters, time, billing and deadlines in the platform to find unbilled time, flag items needing attention and calculate deadlines. The company is Abacus Data Systems, Inc., doing business as CARET and formerly AbacusNext, based in San Diego, with more than 6,500 firms on the platform. Pricing is published at $79, $99 and $119 per user per month billed annually, plus one time implementation fees.
Its terms say AI outputs are not legal advice and need human review, and they license AI inputs and outputs to CARET to train, tune and evaluate its models.
CARET Legal, 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 AI drives a core capability on a practice management product that ran without it for decades. CARET AI finds unbilled time in work already logged, flags matters that need attention and calculates deadlines from matter data, and Quick Summary condenses documents; the company introduced more AI in its 2026 Summer Launch. Remove those features and case management, native email and calendaring, automated workflows, document management, reporting, billing, trust accounting and payments remain, which is the product CARET and its predecessor AbacusLaw have sold to firms for some forty years.
The Terms of Service treat AI Services as a defined subset of the subscription: they are excluded from the 99.9 percent availability commitment and from the warranty, may carry separate fees and token or credit limits set in the order, and document summaries start on the second pricing tier. In that framing the vendor states plainly that the product stands without the models.
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.
Accuracy is disclaimed in the contract, asserted in marketing and never measured. CARET's AI does not cite law; it summarizes documents, surfaces unbilled time and calculates deadlines. The question is how often a summary misstates a document, a time entry is wrong or a computed deadline is off, and the last matters most because a missed deadline is a malpractice claim. Section 20.3 of the Terms says AI outputs may be inaccurate, that CARET makes no representation about their accuracy or reliability, and that every output must be independently reviewed before use.
The 2023 launch announcement claimed Quick Summary speeds decisions without sacrificing accuracy, with no test, figure or evaluation behind it. For deadlines, CARET also integrates LawToolBox, which calculates dates from the rules of civil procedure and tracks rule changes; nothing says whether CARET AI's own deadline calculations use it. Section 23 disclaims liability for missed deadlines and late filings.
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.
A written commitment that people review model output, without the full control structure. Section 20.3 of the Terms of Service says AI outputs are for information and workflow assistance, must be independently reviewed and validated before use, and must not be relied on without appropriate review by qualified personnel. It asks the firm to report inaccurate or harmful results to CARET, a feedback route. In practice CARET AI presents unbilled time, attention items and calculated deadlines for a person to accept and act on rather than posting them itself, and Quick Summary produces a summary for a user to read.
Nothing says where automation stops: whether a calculated deadline goes onto the calendar without confirmation, whether unbilled time suggestions can post to an invoice on their own, or what happens after a wrong output is reported beyond the firm's own correction. Section 23 places responsibility for missed deadlines and sanctions on the firm.
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.
Named firms report specific results, though none measures the AI features. The customer stories page profiles named firms and people. At Tectonic, LLP, a San Francisco IP boutique, attorney Hannah Stitt says custom intake forms and a task template cut the time from lead to signed retainer to 2.5 hours. At LaMagna McKenna, partner Michael La Magna estimates 15 to 20 hours a month saved after a merger. Other stories cover Diller & Rice, LLC, a three office Ohio firm; Pregenzer Baysinger Wideman & Sale, PC, whose firm administrator describes leaving a legacy system with frequent downtime; Doering, Grisell & Cunningham, P.A. in Kansas, which moved from CARET's on premises AbacusLaw to the cloud; and Parks Zeigler in Virginia Beach.
CARET's home page says more than 6,500 firms use it, and the pricing page's estimate of an extra $20,000 of billable work per timekeeper is footnoted as an informational estimate. The figures are the customers' own, are not dated, and none is attributed to CARET AI.
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 covered in the agreement, and the agreement also licenses the firm's AI inputs and outputs for model training. Section 20.4 of the Terms of Service gives CARET a license during the term to use AI inputs and outputs to provide and improve the AI Services, to train, tune and evaluate models and features, and for internal analytics. Anything kept beyond the term is held as anonymized aggregated data, and section 21.5 does the same for beta data.
That contradicts CARET's 2023 and 2025 blog posts, which say Quick Summary runs in a closed environment on Azure OpenAI so client data is not exposed outside the firm's instance; where the two conflict, the agreement governs. Section 9 treats client data as confidential and requires notice so a firm can seek a protective order before compelled disclosure, and section 7 deletes client data from all CARET storage 30 days after the term ends. Attorney client privilege, work product and separation between matters are not addressed.
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 real position on advice versus tooling is framed for a professional user, with jurisdictional compliance placed on the firm. Section 20.3 of the Terms of Service says AI outputs are not legal, accounting, tax or professional advice and need review by qualified personnel, and that the firm is responsible for any legally required disclosure of AI use to its own clients. Section 23 says CARET does not warrant compliance with court rules or deadlines in any jurisdiction and that the firm must decide whether its use complies with the rules of each jurisdiction it is subject to.
CARET is not liable for missed deadlines, sanctions, adverse rulings or malpractice claims arising from reliance on the service. The buyer is always a law firm, the AI features serve the firm's own staff rather than the public, and the Terms bar using the AI for unlawful or discriminatory content. No bar opinion or regulator guidance on lawyers' use of AI is cited, and nothing links AI generated time entries to a lawyer's duty to bill accurately.
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.
There are statements on responsible use and a conduct rule, without a governance program behind them. A 2025 CARET blog post says the company regularly reviews how it uses or plans to use AI and the tools that support it. The Terms of Service bar customers from using the AI Services to generate unlawful, harmful or discriminatory content and ask them to report harmful outputs. Those are a statement of intent and a user obligation.
Nothing says how CARET governs its own models. No one is named as accountable, no framework such as ISO 42001 is cited, and nothing describes testing before a change to Quick Summary, deadline calculation or unbilled time detection reaches firms. No finding addresses whether those features perform unevenly across practice areas or matter types. Section 20.4 licenses CARET to train and tune models on firms' AI inputs and outputs, so firm data can shape future model behavior, and nothing describes the controls on that training.
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 data processing addendum and security page cover most of the ground, without a published subprocessor list. The addendum, incorporated into the Terms of Service, commits CARET to report a personal data breach without undue delay and within 72 hours, investigate and mitigate, and help with the firm's own notices. It gives the firm 14 days after notice to object to a new subprocessor, audit rights that a third party audit report can satisfy, and a right to request audits of subprocessors.
Section 7 of the Terms permanently deletes client data from all CARET storage 30 days after the term ends. The security page describes daily backups with automatic failover, encryption of documents and data, TLS in transit, brute force detection, two factor authentication for external users, detailed logging, manual penetration testing and daily automated vulnerability scans by outside firms. No subprocessor list is published beyond Azure OpenAI, named on the blog. The addendum still cites the defunct Swiss U.S. Privacy Shield, and section 27 lets data transfer in a sale.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
The allocation of risk is published in full, and on wrong AI output it stands behind nothing. Section 25 of the Terms of Service gives the firm a defense and indemnity for third party claims that the subscription service infringes intellectual property, with the usual remedies to procure a license, modify or terminate. Section 24 caps CARET's total liability at the subscription fees paid in the six months before the claim, a short look back, and excludes indirect and consequential loss.
Section 23 warrants only the 99.9 percent availability commitment, which excludes the AI Services, with a service credit as the sole remedy. It disclaims every warranty on AI outputs and says CARET is not liable for missed deadlines, late filings, sanctions, adverse rulings or malpractice claims arising from reliance on the service. Section 30 bars claims after two years, and the firm indemnifies CARET for its AI inputs. A firm can read exactly where it stands, but there is no remedy for a wrong summary or deadline.
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.
Integrations are named, most with a line on what moves and which way. The integrations page lists two way email and calendar sync with Microsoft 365 and Google Workspace, IMAP for other mail, an Outlook plugin that tracks time while drafting and saves emails and attachments to a matter, and a Word plugin that opens and saves documents and versions directly to matter folders. NetDocuments can be reached from any matter, with a workspace created when a matter opens.
OneDrive folders can be linked to a matter to view, download, rename or delete files, and QuickBooks Online receives invoice approvals, edits and deletions automatically. HotDocs, RMail for encrypted email and electronic signature, LawToolBox for rules based deadline calculation and Lawmatics for lead and contact sync are named. Card, ACH and electronic check payments run in the product and the client portal. The Terms contemplate an API subject to rate limits. Setup documentation and field level detail for the connections are missing.
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.
Cloud delivery is stated, and neither the hosting provider nor the region is. The Terms of Service define CARET Legal as a software as a service subscription, and the security page describes redundant servers with daily backups and automatic failover without naming who runs them or where. The 2023 and 2025 blog posts say Quick Summary runs on Microsoft's Azure OpenAI Service in a closed environment so client data is not exposed outside the firm's instance of CARET Legal, which implies separation between firms for the AI feature without saying whether the underlying infrastructure is shared.
The data processing addendum addresses transfers out of the European Economic Area, which tells a firm that its data may move across borders, but no region, residency option or processing location is stated. CARET still sells an on premise product, AbacusLaw, and one customer story describes moving from it to the cloud, but no private or single tenant deployment of CARET Legal itself is offered.
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.
A named attestation and a payment security standard are stated, without a type, a date or a report that can be obtained. The security page says CARET Legal has achieved SOC 2 compliance and that payment card data is handled to the PCI DSS standard. It describes the testing behind that in detail: manual penetration testing of the application and infrastructure by its own security team, plus automated vulnerability scans by outside firms every 24 hours, along with encryption, TLS in transit, brute force protection, two factor authentication and activity logging.
The data processing addendum lets a third party audit report stand in for a customer audit, which implies a report exists. Nothing says whether the SOC 2 report is Type 1 or Type 2, its date, auditor or scope, including whether the AI features are covered, or how to request it. There is no trust center.
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 provider behind the first AI feature is named, and the rest of the supply chain is not. CARET's 2023 launch announcement and a 2025 blog post say Quick Summary runs on Microsoft's Azure OpenAI Service in a closed environment, which names the model provider and hosting arrangement and tells a firm that Microsoft's enterprise terms sit underneath. The Terms of Service say the AI Services may use third party and publicly available models and that CARET's providers keep their rights in the underlying models.
Nothing says which models and versions run today, which providers stand behind the newer features for unbilled time, attention items and deadline calculation, where inference runs, or whether firms will be told before a model or provider changes. The data processing addendum gives firms 14 days to object after notice of a new subprocessor, but no subprocessor list is published to show whether AI providers are on it.
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.
A figure, a unit and a term are published. CARET's pricing page lists three tiers billed annually per user per month: Enterprise at $79, Enterprise Plus at $99 and Enterprise Insights at $119, each with features listed, plus one time implementation fees. AI document summaries start on Enterprise Plus, and premium support costs extra, with a 25 user minimum. A firm can work out its annual cost for a given headcount before speaking to anyone.
The Terms of Service fill in the rest. AI Services may carry extra fees and token or credit limits set in the order form, and CARET may raise fees annually or on 30 days' notice for costs including cloud infrastructure and AI. Payments are not refundable, and ending before the term closes incurs the remaining balance. The pricing page's estimate that firms can capture an extra $20,000 of billable work per timekeeper is footnoted as an informational estimate. The cost of the AI token or credit limits is set in the order form and not published.
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 are described with substance, and some limits are stated. CARET publishes solution pages for civil litigation, personal injury, estate planning, intellectual property, criminal, immigration, family, real estate, employment, insurance defense, workers' compensation and general practice. It also has role pages for firm administrators, partners, bookkeepers and IT, and pages for firms of one to thirty employees and more than thirty.
Customer stories cover an IP boutique in San Francisco, a real estate and tax firm in Kansas, a three office general practice in Ohio and an estate planning firm, and CARET's home page says more than 6,500 firms use it. Stated limits: the AI features begin on the second pricing tier, the service is governed by US law and subject to export control, and the Terms make firms responsible for confirming compliance with court rules in each jurisdiction.
Nothing says where the AI is weaker, for instance whether deadline calculation covers every state's court rules or relies on the separate LawToolBox integration.
3 public documents
The public pages on file for CARET Legal, 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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caretlegal.com/terms-of-service3 signals
Client Data in Training, Prompt and Output Retention, Third Party Request and Subpoena Notice
Read Sep 6, 2026
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caretlegal.com1 signal
Billing and Fee Posture
Read Sep 6, 2026
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Fabricated Citation Record
Read Sep 6, 2026
From $79 per user per month
- The cheapest plan is $79 for each person every month, paid for a year up front.
- The AI document summaries only come with the $99 plan or the $119 plan.
- There is also a one time setup fee on top, and CARET does not say how much.
- If you leave before your year is up, you still owe the rest of it.
- The company can raise the price once a year, or on 30 days' notice.
Published pricing per user, billed annually: Enterprise 79, Enterprise Plus 99 and Enterprise Insights 119 dollars per user per month, plus one time implementation fees that are not quantified. AI generated document summaries are included from Enterprise Plus upward; premium support costs extra, with a 25 user minimum. Terms of service section 20.5 states additional fees may apply to AI services, section 14 references token usage limitations, sections 2 and 11 permit annual increases or increases on 30 days' notice, and section 15 charges the remaining unpaid balance as an early termination fee. The entry price is the lowest recurring paid rate, which does not include the AI features.
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The published agreement expressly reserves a right to train on customer content, with no opt out located. Any de identification, anonymization or aggregation qualifier is recorded in the summary.
The published agreement expressly reserves a right to train on customer content, and no opt out is offered. Terms of service section 20.4, last updated 18 August 2026, has the client grant CARET a license to use and process AI inputs and AI outputs during the term to provide, maintain, support and improve the AI services, to train, tune and evaluate models and features, and for internal reporting and analytics. Learnings retained beyond the term are held as aggregated data, defined in section 7 as anonymized and not capable of reidentification.
Section 21.5 separately permits beta data to be used to train and improve AI systems. This sits against the vendor's blog statements of 2023 and 2025 that Quick Summary runs in a closed environment and client data is not exposed outside the firm's instance; the agreement governs.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
A specific retention period is published and the customer cannot change it.
A specific period is published and the customer cannot change it. Terms section 7 provides that client data, which section 7 defines to include AI inputs, is permanently deleted from all CARET and affiliate servers and cloud instances thirty days after the term of the order expires; section 20.4 licenses AI inputs and outputs to CARET for the term and retains only anonymized learnings beyond it. Nothing states a shorter or configurable window during the term.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Segregation is asserted in public materials with no published detail on how it is enforced.
Segregation is claimed at the level of a firm's instance without documentation. The vendor's blog states that AI runs in a closed environment so that client data is not exposed outside a firm's instance, and CARET's pricing page lists custom permissions on the second tier and above. Nothing describes how matters are walled within a firm or how the AI features respect those permissions.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Terms commit to notice where lawfully permitted. No transparency report located.
The published agreement commits to notice. Terms section 9.4 provides that where the receiving party must disclose confidential information to comply with a judicial or administrative proceeding, it will, to the extent legally permitted, give the disclosing party prompt written notice so that it may seek a protective order or other remedy at its own expense, and that disclosure after a failed application is not a breach. Client data is confidential information under section 9. No transparency report is published.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
No legal corpus stands behind the AI features, which are not built on one, since Quick Summary condenses the firm's own documents and CARET AI works from the matters, time, billing and deadlines already in the platform, citing no law.
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.
Primary law is neither retrieved nor cited by the product, and no check of authority for subsequent history is described; its AI summarizes documents and surfaces practice data.
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.
An ungrounded summary or deadline calculation has no described fallback in the AI features. The terms require the client to review every output and to report inaccurate or harmful results, which is a reporting duty rather than an abstention path, and no 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.
The AI Hallucination Cases database maintained by Damien Charlotin, and wider reporting of court findings, record no court order, opinion or disciplinary record naming CARET Legal, Zola Suite, Quick Summary or CARET AI; the sanctions recorded involve general purpose chatbots, none of them this product. A practice management tool whose AI summarizes documents and surfaces practice data has little exposure to fabricated citations.
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.
Professional responsibility frameworks, bar rules and ethics opinions go unnamed. The terms address the advice line, human review by qualified personnel and the client's duty to comply with court rules and to disclose AI use to its own clients, but no guidance from any jurisdiction is named.
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.
The buyer is a law firm and the product issues the client's invoice, so it sits inside the fee relationship; what it publishes on AI and the bill is a capture and savings claim. CARET AI is described as finding billable time in work already happening, and the pricing page claims an extra twenty thousand dollars of billable work per timekeeper as an illustrative estimate. Nothing addresses how AI assisted work is recorded or disclosed on the client's bill when the work takes less time, although the terms do require the client to make legally compliant AI disclosures to its own clients.
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 or AI disclosure material for clients is published. The blog names Microsoft's Azure OpenAI Service as the provider behind Quick Summary, which is one provider for one feature, not a list. The terms permit subcontracting without consent and place the duty to disclose AI use to clients on the firm. The data processing addendum they incorporate gives firms 14 days after notice to object to a new subprocessor and accepts a third party audit report in place of a customer audit, but no subprocessor list is published that a firm could forward.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses court disclosure or verification certification.
AI assisted work leaves no record built for court disclosure or verification certification. The terms require human review of every output and disclaim liability for missed deadlines and sanctions, and the product keeps matter and billing records, but nothing describes a record for each document of the model used, sources and human verification that could be exported for a court.