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Casefleet

Casefleet is case chronology and fact management software for litigators, operated by LAWPRCT, Inc. of Atlanta, Georgia, and sold to plaintiff and defense firms since 2016. The core is a fact chronology that links every fact to its source document. Around it sit a document reviewer, visual timelines, case outlines, full text search, deposition transcript markup, and audio and video review with transcription. The AI layer is branded Casey.

It includes an assistant that answers questions about a case with clickable citations to source documents. Proposed Facts has Casey draft facts with a citation to each source, and the user approves every one before it joins the chronology. Other AI features cover summarization, entity recognition, bulk tagging and renaming, AI search and agentic workflows for multi step case tasks. Practice pages cover employment, criminal, personal injury, workers' compensation, family law, complex litigation and medical chronologies, and some pages are aimed at individuals handling their own matters.

Pricing is published: Starter at 30 dollars per user per month, Advanced AI at 140 dollars, and custom Enterprise quotes above twenty users. The customer agreement, effective February 2026, says customer data will not be used to train Casefleet's AI systems without explicit consent.

Compared with

Casefleet, 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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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.

BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

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 layer is substantial and prominently positioned, and the vendor's own pricing table shows it is severable. The homepage is labeled AI case management software, and the features menu opens with a group of seven AI entries: Casey AI Assistant, Agentic Workflows, Document Intelligence, Summarization, Entity Extraction, Document Organization and Proposed Facts. The published plan comparison shows the Starter plan at 30 dollars carrying none of it.

Summarization, semantic indexing, entity recognition, fact extraction, natural language search, AI issue generation and AI credits are all marked unavailable on Starter and appear only on Advanced AI at 140 dollars. A buyer can therefore purchase a fully working version of the product with no machine learning in it. What remains on Starter is the platform the company has built its name on since 2016: chronologies, timelines, outlines, document review, transcripts and reporting. The AI is a real and heavily marketed layer on a product that stands without it.

Source: Vendor Published
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

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.

Grounding is built into the product and documented, but nothing measures it. Every fact in the chronology links to its source, and evidence citations come on every plan, including the plan without AI. The assistant returns answers with clickable citations to the user's source documents, and Proposed Facts arrive with a citation to the source of each drafted fact. A user can open and check that linked material, and the retrieval target is the case record rather than published legal authority.

The agreement is candid about limits. It states that the AI Features may not be 100 percent accurate and may contain errors, omissions or misinterpretations, and that Casefleet makes no representations or warranties on the accuracy, completeness or reliability of AI output. Beta or preview features are to be used with heightened caution. What is absent is measurement: no accuracy figure, test set, evaluation or error taxonomy, and no retrieval method described beyond the citation link.

Grounding to primary legal authority and citation status checking do not apply to a fact management product and are counted neither way.

Source: Vendor Published
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

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 to supervision and a real review gate, without a full control structure for the autonomous mode. Proposed Facts are drafted by Casey and staged for the user, who reviews, edits and approves every one before it joins the chronology. The assistant's product page describes Casey setting up cases, proposing facts and organizing files while the user approves every step. The agreement backs this up, stating that AI content and analyses supplement, not replace, professional legal work and human oversight, and that the user is solely responsible for reviewing, validating and verifying any output before relying on it.

An activity feed records every change across a case, and the platform applies audit logging. The gap is the boundary around Agentic Workflows, which are marketed as handing Casey multi step case tasks. Nothing published states what an agent may do unattended, when it stops, what a user sees while it runs, or what happens after it acts wrongly. No confidence signal is described as shown to the reviewer. The agentic workflows feature page was not opened and may say more.

Source: Vendor Published
CC on Operational and Outcome EvidenceCustomer logos and unattributed testimonials stand in for evidence, or results are quoted with no basis stated.

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.

Testimonials stand in for deployment evidence and no figures accompany them. Six customer quotations are published. Three carry a person's name and role but no organization: Jason Shinn and Paul Fleming, both described only as Attorney, and Risa Beck, Paralegal Manager. The other three are attributed by state and role alone, being a South Carolina consumer protection lawyer, an Arkansas investigative paralegal and an Illinois criminal law attorney.

No firm or legal department is named anywhere on the surfaces read, no customer logos appear, no case study is published, and no operational figure of any kind is offered: no customer count, no adoption number, no time saved, no outcome measured. The one durable claim is longevity, that the company has been helping to win cases since 2016, which is a statement about the vendor rather than about a deployment. The quotations themselves are substantive and read as genuine practitioner comment, including one that praises the chat feature as a legal AI tool, but none of it can be assessed because no basis is stated. This reflects the shape of the evidence rather than doubt about the customers.

Source: Vendor Published
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

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.

Substantive published commitments, several of them AI specific, without a statement of how the vendor treats privileged material. The agreement grants Casefleet rights over customer data only to provide the service and expressly for no other purpose. A confidentiality section binds both parties and carries an AI clause. Under it, Casefleet applies technical and organizational measures when data passes through AI Features and guards against commingling confidential data between users and organizations.

In the product, administrators control which data each user can see, which the security page describes as keeping privileged and confidential information that way. On account deletion, Casefleet will delete or destroy all copies of customer data unless legally prohibited. Privilege and work product are named in the agreement, but as the user's compliance duty rather than as a statement of how Casefleet handles privileged material.

One provision cuts the other way. The warranty section puts sole responsibility for data security and backup on the user, does not guarantee that transmissions to third party vendors will be encrypted, and disclaims liability for unauthorized access to or loss of customer data.

Source: Vendor Published
BB on UPL and Professional Responsibility PostureA real position is published on advice versus tooling, short of full treatment: commonly a disclaimer without the supervision and competence dimension, or silence on jurisdiction limits.

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 published position on advice versus tooling, with two points not established. The agreement has a dedicated section on legal advice and the attorney client relationship. It states that Casefleet is not a law firm, that no attorney client relationship arises from use of the platform or its AI Features, and that the software is not a substitute for an attorney's advice. Two of the five numbered acknowledgments that follow address users who are not lawyers: such a user should consult an attorney before making decisions based on the platform, and bears sole responsibility for obtaining counsel.

The AI Features section requires users to keep their use within their professional ethical obligations, naming attorney client privilege, the work product doctrine and confidentiality. That treatment matches a real exposure, because the vendor publishes use case pages for people handling their own matters, such as VA disability claims, small claims, custody documentation and estate settlement. Jurisdiction limits are addressed only obliquely, through an acknowledgment that AI output may not apply in the user's jurisdiction. Whether those consumer pages carry their own disclosure was not established: they were not opened and may say more.

Source: Vendor Published
DD on AI Governance and Bias DisclosureNo governance position published for a system whose output affects legal outcomes.

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 disclosure is published, and the absence should not be mistaken for general silence. The agreement does substantial AI work: it defines AI Features as a contractual term, devotes a section to their limitations, allocates ownership of AI output, and commits on training. All of that is disclosure about the product and about data handling, and none of it is governance. Nothing published describes an AI policy, a responsible AI or ethics position, a bias or fairness assessment, or model evaluation or testing of any kind.

No internal owner for AI decisions is named, and no governance framework such as ISO 42001 or the NIST AI Risk Management Framework is cited. Nothing addresses how models are selected, assessed before release or monitored in use, on a product whose agentic features act on litigation case files. Surfaces read: the homepage and full features and use case navigation, the Terms of Service in full, the pricing page and its FAQ, and the security page.

Source: Vendor Published
BB on AI Safety and Data StewardshipSubstantive published policy covering most of the ground, short of the full set: commonly no named subprocessor list or no stated incident practice.

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.

Stewardship is contractual and AI specific, with two gaps. The agreement commits that Casefleet will not use customer data to train its AI systems without the customer's explicit consent, and separately describes a closed loop system in which customer data is not used to train AI models. The data license is granted only to provide the service and for no other purpose. AI output derived from customer data belongs to the customer.

The confidentiality section adds AI specific technical and organizational measures and a safeguard against commingling data between users and organizations. Security controls are described in operational detail. They include encryption in transit and at rest, a virtual private cloud, virus and malware scanning of all uploads, daily backups, least privilege employee access revoked on termination, and code review before release.

The first gap is that AI Features process data through third party AI services that are not named, so the buyer cannot see who is in the loop. The second is that the warranty section does not guarantee that transmissions to third party vendors and hosting partners will be encrypted, and disclaims liability for unauthorized access to customer data.

Source: Vendor Published
CC on AI Liability and RecourseLiability is addressed only through a standard limitation clause that disclaims the exposure the product creates.

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.

A published agreement with a stated cap and a real indemnity in the customer's favor, and no recourse at all for AI output. The liability cap is quantified: fees actually paid in the six months before the claim, or five hundred dollars where no fees apply, with indirect and consequential damages excluded. Casefleet gives an intellectual property indemnity, defending infringement actions at its own expense, with a right to procure, replace or modify and a pro rata refund if it cannot.

Data can be downloaded for 30 days after termination. The AI position is a complete disclaimer. The agreement makes no representations or warranties on the accuracy, completeness or reliability of any output the AI generates, makes the user solely responsible for reviewing and verifying it, and states that no output is legal advice. The service is provided as is with all warranties disclaimed, with no uptime commitment, service credit or cure period, and Casefleet disclaims liability for corruption, deletion or loss of customer data.

A firm whose chronology rests on a wrongly extracted fact has no contractual remedy for it, and any claim is capped at six months of fees.

Source: Vendor Published
DD on Practice Systems Integration DepthNo integration into practice systems located, or the product stands alone and requires work to move to it.

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 with any legal practice system is published on any surface read. The site has no integrations page, partner listing, or developer or API documentation anywhere in its navigation of features, use cases, pricing, resources and support. No document management, practice management, case management, billing, ediscovery or court filing system is named. The agreement allows for third party applications a customer may use with the platform, whether or not Casefleet designates them official integrations, but names none.

It also prohibits users from using any Casefleet APIs that are not public. Single sign on via SAML2 is offered on Enterprise plans, which is authentication rather than practice system integration. The product is built as a self contained workspace, which is a coherent choice for a chronology tool. The gap is one of disclosure rather than a defect: a buyer judging how Casefleet would sit alongside their existing stack has nothing published to work from.

Source: Vendor Published
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

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.

Neither data location nor tenancy is stated. The hosting provider is named plainly: all Casefleet infrastructure and customer data sit on Amazon Web Services, and the security page links to AWS's own security and data center documentation. The architecture is described in some detail. Infrastructure handling user data runs inside a virtual private network that exposes only required components to the public internet, internal and external communication must be encrypted, and daily backups are kept for an extended period.

None of that answers either question. No region or data center location is stated, no residency option is offered, and nothing addresses data for customers outside the United States. Nothing says whether the service is single tenant, pooled or configurable, and the anonymization of data by UUID between components is an internal design detail rather than a tenancy model. No self hosted or private deployment option is published. Naming the hosting provider identifies who runs the infrastructure, not where the data rests.

Source: Vendor Published
CC on Security Certifications and Trust CenterBadges appear on the site with no scope, no date, and no report available.

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.

Controls are described in detail and no certification of any kind exists. The security page covers five areas. Application security includes XSS and CSRF protection, signed cookie sessions, rate limiting, audit logging, password hashing and malware scanning. Network and storage security requires TLS internally and externally and encrypts data at rest. Operations covers automated security testing, mandatory peer code review, staging before release, daily backups, and encrypted, firewalled laptops for engineers with production access.

Account security offers two factor authentication, SAML2 single sign on for Enterprise, granular permissions and alerts on concurrent logins, and physical security relies on AWS and key card office access. A vulnerability disclosure route is published with an address. No third party attestation exists anywhere: no SOC 2, no ISO 27001, no auditor or certification body named, no penetration test disclosed, and no trust center.

The claim that all code, infrastructure and operations are continually audited for security impact is an internal practice statement, not an external audit. HIPAA is handled commercially, with the vendor stating it is HIPAA compatible and will sign a business associate agreement on annual accounts for an extra fee. Nothing unsupported is claimed.

Source: Vendor Published
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

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 shape of the supply chain is disclosed and nothing in it is named. The agreement states that AI Features use multiple AI models and technologies from various providers and that specific features may run on different underlying systems. It also states that data may be processed through various AI systems, including third party AI services. A buyer therefore learns that the architecture uses several external providers and that the model behind one feature may differ from the model behind another.

What none of it gives is a name. No model, version, family, provider or inference route is identified on any surface read, and there is no subprocessor list, DPA or trust center where one might sit. Amazon Web Services is named as the host for all Casefleet infrastructure, which says where the application runs rather than whose model reads a client's case file. A firm can tell its client only that several unnamed third parties process case material through AI, a disclosure that raises the question it does not answer.

Source: Vendor Published
BB on Commercial TransparencyReal pricing is published for part of the range, with enterprise tiers withheld, or the unit and structure are stated without the figure.

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.

Pricing is published in fine detail without any sales contact, and the top of the range is withheld. Starter is 30 dollars per user per month and Advanced AI is 140 dollars, with a 22 percent discount for annual payment. A plan comparison table sets out what each tier includes. Every metered component has a stated unit and overage rate. Optical character recognition is one dollar per hundred pages after 3,000 free pages per billed user per month, and transcription is six cents per minute after three free hours.

Document intelligence is one cent per page after 12,000 free pages, and storage is ten dollars per gigabyte per month after five included. AI credits cost one tenth of a cent each after 100,000 free credits per billed user per month. The agreement says credits are allocated monthly, do not roll over, vary in consumption by feature, cannot be refunded and can be capped by the customer. Enterprise, for twenty or more users, is a custom quote.

The HIPAA business associate agreement carries an unstated fee, bulk uploads above 1,000 files a day are quoted upfront, and Enterprise data migration is unpriced.

Source: Vendor Published
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

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.

Practice coverage is broad and set out page by page. Practice area pages cover employment law, criminal law, personal injury, workers' compensation, family law, complex litigation and medical chronologies. Workflow pages cover case management, litigation management, investigations, cross examination preparation, summary judgment and early case assessment, which is coverage by litigation stage as well as by subject. The vendor says it serves both plaintiff and defense firms, and two free tools support practice work: a litigation deadline calculator and a statute of limitations lookup by state and claim type.

Further pages address individuals handling their own matters, such as VA disability claims, disability appeals, small claims, custody documentation, insurance disputes and estate settlement. The limits are a single jurisdiction and a thin firm dimension. Everything is United States practice, the agreement is governed by Georgia law with exclusive jurisdiction in Fulton County courts, and no international coverage is claimed.

On firm size, the only published signal is that Enterprise starts at twenty users, and no segment statement, firm size breakdown or named practice is published.

Source: Vendor Published
Pricing

From $30 per user per month

  • Casefleet publishes its full price list. Starter is $30 per user per month and carries the case chronology, document reviewer and collaboration tools with a 20-document limit per case and no AI. Advanced AI is $140 per user per month and adds the Casey assistant, document intelligence and unlimited documents. Enterprise, for twenty or more users, is a custom quote. Paying annually saves 22 percent. Metered extras are priced per unit, including AI credits at $0.001 each after 100,000 free credits per user per month, and a 14-day trial needs no credit card.

Published rates, with the unit stated for every metered component; only Enterprise, for twenty or more users, is withheld as a custom quote. Starter is $30 per user per month and Advanced AI $140, with 22 percent off for annual payment. The comparison table limits Starter to 20 documents per case and puts all document intelligence and Casey assistant features on Advanced AI and above. Metered rates are per billed user per month.

Optical character recognition is $1 per 100 pages after 3,000 free pages, and transcription is $0.06 per minute after 3 free hours. Document intelligence is $0.01 per page after 12,000 free pages, and AI credits are $0.001 each after 100,000 free credits. Storage is $10 per GB per month, with 5 GB included on Advanced AI and Enterprise. Credits are allocated monthly, do not roll over, vary by feature, cannot be refunded and can be capped by the customer.

Past due amounts attract 1.5 percent a month. Also unpriced: the HIPAA business associate agreement fee, bulk uploads above 1,000 files a day, and Enterprise data migration. Surfaces read on 7 September 2026: the pricing page, comparison table and FAQ, and the Terms of Service in full.

Change log

Product updates

Sep 24, 2026Product / capabilityVerified

Casey, Casefleet's AI assistant, can now split a long processed document into up to 20 new PDF sources on request, proposing a name and page range for each that the user must accept before anything is created. The original document is left unchanged, OCR text and page layouts carry over, tags, citations, review status and Bates numbers do not, and each new source carries a note recording its original document and page range.

Bears on: Autonomy and Oversight ModelSource
Sep 24, 2026Product / capabilityVerified

Casefleet began rolling out a rebuilt core interface for facts, sources, tasks, entities, issues and activity, with columns users can show, hide, resize, reorder and pin, filters by witness, issue, date and time, and saved views. It adds vertical timelines on a real time axis, inline comments on facts, a compact mode, and side by side timelines that compare multiple saved views. The classic UI stays available by toggle until November 1, 2026, when the new UI becomes the standard experience.

Bears on: Firm and Practice CoverageSource
Sep 22, 2026Model / architectureVerified

Casefleet made Claude Opus 5.5 available as the Premium Intelligence model in Casey, its AI case assistant, and recommends it for all users. The vendor states it is 40% cheaper than Opus 5 with performance improvements, and users switch models from the selector in the Casey chat.

Bears on: Model Supply Chain DisclosureSource

Legal Signals

What each signal means

A 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.

Confidentiality and Privilege

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Opt in

Training occurs only where the customer has affirmatively enabled it.

The agreement addresses training directly and makes it subject to consent. Its operative words are that Casefleet will not use customer data to train its AI systems without the customer's explicit consent, so a consent route exists. In the AI Processing paragraph, the agreement also describes a closed loop system in which customer data is not used to train AI models. Read together, the default is no training, the architecture is described as closed loop, and a consented departure is contemplated.

Nothing published says how consent would be sought, at what granularity, or whether it can be withdrawn. Two qualifiers matter. The agreement reserves the right to use anonymized and aggregated data from user interactions with AI Features to improve the platform, and to publish aggregate anonymized reports on usage and content trends. Those apply to anonymized interaction and usage data rather than case content, and neither is read as a training right, but a buyer weighing the closed loop statement should see them. The data license itself is granted only to provide the service and, in the agreement's words, for no other purpose.

Source: Vendor PublishedAs of Sep 7, 2026

Prompt and Output Retention

How long does the product keep what a lawyer typed, and can that be set to zero?

Not addressed

No located public material states how long prompts and outputs are retained.

Nothing addresses how long prompts to the assistant or its outputs are kept. The agreement sets an account rule on exit. After cancellation or termination, data can be downloaded for 30 days and is then deleted, and if a team account is deleted, Casefleet will delete or destroy all copies it holds unless legally prohibited. That covers stored case material, including facts once approved into a chronology. It says nothing about the AI interaction layer.

No period covers a query put to Casey, a drafted fact that was rejected, a summary generated and discarded, or the intermediate output of an agentic workflow. Nothing states whether prompts persist at all, whether the unnamed third party AI services keep them, or whether a customer can purge them. Usage is metered at the account level for billing, so interaction records exist, but nothing says what is kept or for how long.

Surfaces read on 7 September 2026: the Terms of Service in full, the pricing page and FAQ, the security page, and the AI feature descriptions in the site navigation.

Source: Operator VerifiedAs of Sep 7, 2026

Ethical Walls and Matter Segregation

Does retrieval respect the firm’s ethical walls, or can the model read across them?

Own model, documented

The product maintains its own permission model, documented, requiring the firm to keep it aligned.

A separation model is documented at two levels, and it reaches the mechanism a firm would actually use. Between organizations, the confidentiality section commits Casefleet to safeguards against commingling confidential data between users and organizations, specifically when data is processed through AI Features, the point at which commingling risk is least visible to a customer. Within a firm, the security page describes administrator control over which data each user can see, framed as keeping privileged and confidential information that way while still allowing collaborators to be invited.

That is the capability behind an ethical wall: an administrator can exclude a conflicted user from a case. Supporting controls include anonymization of data by UUID between components, alerts on concurrent logins, and two factor authentication. What is not published is the conflicts side. Nothing describes a conflicts check, a screening workflow, a record of when a wall was put up, or whether the AI features respect user permissions when the assistant searches a case. The mechanism exists and is documented; its use as a compliance record is not.

Source: Vendor PublishedAs of Sep 7, 2026

Third Party Request and Subpoena Notice

If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?

Disclosure addressed, notice absent

Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.

Compelled disclosure is addressed in two clauses and neither carries any notice commitment. The confidentiality section lets both parties give confidential information to third parties as required and permitted by law, such as under a subpoena or court order, and cooperate with law enforcement in any criminal or civil investigation. Separately, the user consents to Casefleet accessing, preserving and disclosing account information and customer data where required by law.

Casefleet may also do so on a good faith belief that this is reasonably necessary to comply with legal process, enforce the terms, respond to support requests, or protect the rights, property or safety of Casefleet, its users and the public. That second clause reaches further than compelled disclosure, since a good faith belief is a lower threshold than a legal requirement. Neither clause commits Casefleet to notify the customer, to resist or narrow a demand, to disclose only the minimum, or to keep a record of what was disclosed, and no transparency report is published. The vendor engages with the question but stops short of a commitment.

Source: Vendor PublishedAs of Sep 7, 2026
Accuracy and Authority

Primary Law Corpus Provenance

Where does the law in this product come from, and does the vendor have the right to use it?

Not addressed

No located public material identifies the corpus behind the product’s answers.

Two questions arise here and only one applies. Casey works on the customer's own case file, meaning the documents, transcripts and media a firm uploads to a matter. There is no external legal corpus, case law library or third party content set whose sourcing and licensing a buyer would need to check, so that question does not apply and is not counted against the vendor. The question that does apply is the provenance of the models, and nothing addresses it.

The agreement says AI Features use multiple models and technologies from various providers and that data may pass through third party AI services, without naming any. A buyer cannot establish what any underlying model was trained on, on what basis, or under what license Casefleet uses it. The free statute of limitations lookup does not state its own sourcing, but it is a marketing tool rather than part of the product.

Surfaces read on 7 September 2026: the Terms of Service in full, the security page, the pricing page and the site navigation.

Source: Operator VerifiedAs of Sep 7, 2026

Good Law Verification

Does the product tell you when the authority it just cited has been overruled?

Not addressed

No located public material addresses whether authority is checked for subsequent history.

The product ships no citator and makes no good law claim, as expected for case chronology and fact management software. Casey's citations point to the customer's own source documents rather than to legal authority, so there is no published case to validate, no treatment signal and no subsequent history to check. Two free tools on the site touch legal currency without being citators: a litigation deadline calculator and a statute of limitations lookup by state and claim type.

Both present rules rather than verify authority, and neither is part of the platform a customer buys. The absence is not a finding against the vendor, since the question does not arise for this product.

Source: Operator VerifiedAs of Sep 7, 2026

Refusal and Uncertainty Behavior

What does the product do when the answer is not in the corpus?

Not addressed

No located public material addresses what the product does when it cannot ground an answer.

Nothing describes how the system behaves when it is unsure. The agreement admits that uncertainty exists, stating that AI Features may not be 100 percent accurate and may contain errors, omissions or misinterpretations, and that beta or preview features need heightened caution. That tells a user to expect error without saying what the system does when it meets one. No confidence score, likelihood indicator or reliability signal is described as shown to the reviewer.

Nothing states when Casey declines to answer or flags a low confidence result, or what happens with a document it cannot parse or a question the case file does not support. The Proposed Facts approval gate is the nearest feature, but it is an oversight control that applies to every drafted fact, not behavior that changes with the model's own uncertainty. Surfaces read on 7 September 2026: the Terms of Service in full, the homepage AI descriptions, the pricing page and the security page.

Source: Operator VerifiedAs of Sep 7, 2026

Fabricated Citation Record

Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?

None located

No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.

No matter naming Casefleet or LAWPRCT, Inc. was located in the hallucination case tracking maintained by Damien Charlotin or in sanctions reporting drawn from it, searched on 7 September 2026 under both names. The database logs well over a thousand matters worldwide, reporting on it names the tools involved where known, and United States sanctions range from four figure fines to license suspension. Casefleet appears in none of it.

The product class explains part of this. Casey cites the customer's own uploaded documents rather than generating citations to legal authority, and every drafted fact is staged for human approval, so the failure mode tracked here is structurally unlikely. The absence is not a positive finding about the vendor.

Source: Operator VerifiedAs of Sep 7, 2026
Professional Responsibility

Bar Guidance Alignment

Has the vendor engaged in public with the ethics opinions its buyers are bound by?

Generic reference

Public materials refer to professional responsibility in general terms without naming guidance.

Professional obligations are referenced in general terms without any authority being named. The agreement requires users to ensure their use of AI Features complies with applicable laws, regulations and professional ethical obligations, and names the categories: attorney client privilege, the work product doctrine, confidentiality requirements and data protection laws. A separate section states that Casefleet is not a law firm, that no attorney client relationship arises, and that a user who is not a licensed attorney should consult one.

That is real engagement with the ethical frame. What is absent is any named source of guidance. No bar association, state bar opinion, ABA model rule, court standing order or regulator publication on AI is cited or mapped, and nothing is broken down by jurisdiction. That holds even though the product is sold across United States practice and the same site carries a state by state limitation tool. A firm trying to align its own AI use with its regulator's expectations finds an instruction to comply rather than a route to the guidance.

Source: Vendor PublishedAs of Sep 7, 2026

Billing and Fee Posture

Does the vendor address what happens to the bill when the work takes an hour instead of six?

Savings claims only

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.

Savings are claimed and the fee consequence is not addressed. The savings claims are the vendor's own, framed as cutting hours of manual reading, reducing repetitive tasks and reviewing faster, with no figure attached. Nothing addresses what happens to a client bill when a day of document review takes an hour, no guidance on fee or disclosure treatment is offered, and no per matter record of AI work is described. Casefleet does meter AI work closely.

Credits are allocated monthly, consumed at different rates by feature and charged at a published overage rate, and usage reports and billing detail are available to account administrators. That metering serves the vendor's own billing and sits at the account level, not the matter. Nothing ties credit consumption to a case, so a firm with a precise record of how much AI it bought cannot tell how much went into any one client's file. The raw material for a per matter record exists but has not been assembled into one.

Source: Vendor PublishedAs of Sep 7, 2026

Outside Counsel Guideline Readiness

Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?

Not addressed

No located public material supports a client side disclosure obligation.

A firm cannot answer a client's AI clause from anything Casefleet publishes. No subprocessor list exists on any surface read, and there is no data processing agreement, trust center or document portal where one might be requested. No model provider is named. The agreement states that AI Features use multiple models and technologies from various providers, that features may run on different underlying systems, and that data may be processed through third party AI services, without naming any.

A firm asked whose model reads its client's medical records or deposition transcripts could only say that several unnamed third parties are involved. Amazon Web Services hosts all infrastructure and data, but that identifies where software runs, not whose model sees client content. No forwardable client material was located: no consent or notification pack, client disclosure template or published processing terms. A HIPAA business associate agreement is offered on annual accounts for an extra fee, and single sign on is available on Enterprise, but neither answers this question.

Surfaces read on 7 September 2026: the Terms of Service in full, the security page, the pricing page and FAQ, and the complete site navigation.

Source: Operator VerifiedAs of Sep 7, 2026

Court Disclosure Support

If a judge’s standing order requires an AI disclosure, can the product produce one?

Partial record

Some elements of the record are available, short of a document level export.

The record this product creates is exportable and built for litigation, but it is not framed as a record of AI involvement. Every fact in the chronology carries a link to its source, evidence citations come on every plan, and reports are generated in a click. Case outlines tie issues to evidence, and an activity feed shows every change across a case, backed by audit logging. A firm asked to show how a fact was established can produce the source link.

What is not established is whether the record shows the AI's part. Every fact Casey drafts passes through a human approval step, so the product plainly distinguishes proposed from approved facts. Nothing published says whether the activity feed or any export keeps that distinction, whether a report can show which facts came from Casey, or whether agentic workflow actions are logged in a form a court could read. Nothing addresses disclosing AI use to a court or tribunal, and no certification, template or guidance is offered. The record is real and usable, and partial for this purpose.

Source: Vendor PublishedAs of Sep 7, 2026
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Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 462 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 21, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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