Casefleet vs Everchron: how they compare in 2026

C
Casefleet profile
E
Everchron profile
Last verifiedSeptember 25, 2026
Verdict

Casefleet and Everchron both build the fact record a litigator argues from: a chronology in which every fact links to its source, with document review, transcripts and AI that drafts facts for the team to accept or reject. Everchron is stronger on control and provenance. Its AI is opt in for the organization, switchable matter by matter and gated by user permissions. Each answer shows its plan, sources and steps, and AI generated content stays labeled when a matter is exported. It also integrates with RelativityOne and Relativity Server. Casefleet is stronger on what a buyer can read before signing. It publishes every price down to the cost of an AI credit, its agreement bars training on customer data without explicit consent, and it gives an intellectual property indemnity. Everchron's terms exclude even direct damages from its liability. It also states that it may access the confidential information of its customers and of other parties using the service, with no duty to check for conflicts.

Which one fits

Choose Casefleet if

  • You want to know the full cost, including AI usage, before a demo. Casefleet publishes Starter at $30 and Advanced AI at $140 per user per month, a 22 percent annual discount, and unit rates for every metered extra, with AI credits at $0.001 each after 100,000 free per user per month and a cap on credit use you can set yourself.
  • You need a written position on training before you load a case. Casefleet's agreement states that customer data will not train its AI systems without explicit consent and that it runs a closed loop system, and it commits to safeguards against commingling data between users and organizations when AI processes it.
  • You want a chronology tool with the AI kept separate. Casefleet's Starter plan carries the chronology, document reviewer, timelines and transcripts with no AI at all, and its practice pages cover employment, criminal, personal injury, workers' compensation, family law and complex litigation.

Choose Everchron if

  • You need to see how the AI reached an answer, and to switch it off where a matter demands. Everchron's EC:AI is opt in at organization level, enabled or disabled matter by matter and gated by user permissions, and each request shows its plan, the sources reviewed and the steps taken, with clickable citations.
  • You may have to show a court which parts of the record a machine wrote. Everchron labels AI generated summaries, facts and analysis throughout a matter and states that the distinction carries through when content is exported, and its terms bar customers from presenting output as human generated.
  • Your review runs in Relativity. Everchron integrates with both RelativityOne and Relativity Server so documents, metadata, coding and work product move between review and case management, and its master file is built for multidistrict litigation with numerous parties.

At a glance

Category
CasefleetLitigation & eDiscovery
EverchronLitigation & eDiscovery
Founded
CasefleetNot published
EverchronNot published
Headquarters
CasefleetAtlanta, Georgia, United States
EverchronLos Angeles, California, United States
Last verified
CasefleetSep 7, 2026
EverchronSep 7, 2026

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.

Casefleet
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.

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.

Everchron
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.

The AI layer is extensive, and the agreement itself makes it optional. EC:AI covers eight named capabilities in two groups, Matter Intelligence and Document Intelligence, and the vendor calls it its proprietary AI suite built for litigation, investigations and arbitration. But the customer agreement defines AI Products as optional components the customer opts into, and section 7.1 begins by saying the customer may opt in. A subscriber who never opts in still gets the product Everchron has sold since 2016: the case chronology, master file, witness profiles, transcript management and designations, full text search and the Relativity integration. Because the opt in is a contract term rather than a packaging choice, it is firm evidence that the platform stands without the AI. The AI is a substantial, well developed layer on a platform that works without it.

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.

Casefleet
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.

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.

Everchron
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.

Grounding is documented as a design principle and the limitation is disclosed in the contract, but nothing is measured. A named section of the vendor's material says EC:AI keeps its work connected to the materials behind it. Answers, extracted facts, search results and summaries link back to the relevant documents and transcript passages so the output is easier to verify. Agentic chat returns clickable citations for every response, drafted facts link to their sources, and transcript summaries are tied to their page and line excerpts. The hallucination warning is in the agreement itself. Section 7.3 states that use of the AI Products may produce incorrect output that does not accurately reflect reality, and that output may contain hallucinations and may be inaccurate. The customer must evaluate the accuracy of any output, including by human review. No figure is published that a reader could test: no accuracy rate, test set, evaluation or error taxonomy, and no retrieval method beyond the citation link. Grounding to primary legal authority does not apply to a fact management product.

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.

Casefleet
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.

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 states 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. Agentic Workflows, which have their own feature page, are marketed as handing Casey multi step case tasks. The assistant page and the agreement do not state 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.

Everchron
AA on Autonomy and Oversight ModelWhat the system runs alone, what constrains it, and how a lawyer checks it are all published: modes, thresholds, review surfaces, and the route a matter takes back to human judgment. A categorical limit on a named mode or tier, stating what its output may not be used for, meets the threshold limb without a number.

Each part of the oversight model is published. What the system does alone: agentic chat plans the work, gathers context, reviews the record and runs as many steps as needed before assembling a cited response, and extraction and summarization run in bulk across uploads and imports. What constrains it: EC:AI is opt in at organization level, administrators enable or disable it matter by matter, and permissions decide which users can reach it. Scope is set per request to the full matter, a filtered set, selected items, specific documents, or related material such as families and exhibits. How a lawyer checks it: the user sees the plan, the sources reviewed and the steps taken, every response has clickable citations to the supporting material, and generated content is labeled as AI generated throughout the matter. The route back to human judgment: drafted facts are presented to accept or reject, with the vendor stating that the team decides what goes into the chronology. The user can refine scope and continue with follow ups, and the agreement requires the customer to evaluate accuracy, including by human review.

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.

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

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: a South Carolina consumer protection lawyer, an Arkansas investigative paralegal and an Illinois criminal law attorney. No firm or legal department is named, no customer logos appear, no case study is published, and no operational figure is offered: no customer count, no adoption number, no time saved, no outcome measured. The company says it has been helping to win cases since 2016. One quotation praises the chat feature as a legal AI tool.

Everchron
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

There is a named customer but no figures. Everchron publishes a case study on its blog for Bennett Bigelow and Leedom, a named law firm, and says that since entering the wider market in 2016 the platform has been adopted by numerous AmLaw firms and litigation boutiques. Its material describes its customers as including AmLaw 100 firms, top litigation boutiques and corporate counsel. The founders practiced as litigators at Irell and Manella, an AmLaw 200 firm, before building the product. What is missing is measurement. No figure of any kind is published: no customer count, adoption number, time saved, matter volume or outcome. The case study is the only named deployment, and it comes with no dated result or method.

Privilege and Confidentiality Posture

How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.

Casefleet
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.

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.

Everchron
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 is named expressly in the agreement, and one clause cuts hard the other way. Section 4.1 defines Confidential Information to include information a reasonable person would consider confidential, attorney client privileged communications or proprietary information, marked or not, and expressly includes customer content, protected health information and personally identifiable information. Section 4.2 bars both parties from disclosing or using it outside the Services and requires protection at least equal to each party's own and never below commercially reasonable care. Section 1.5 leaves the customer owning its content. Access controls are real: SAML single sign on, TOTP multifactor authentication, an organization settings panel and matter level provisioning. The clause that cuts against this is section 4.5. Everchron says it acts as a neutral vendor with no duty to review cases for conflicts of interest and will never be required to run a conflict review or seek a waiver. In the same clause, the customer agrees that Everchron may access its confidential information and that of other parties using the Services. On a litigation platform where opposing parties may both be customers, that limit is disclosed in the contract. Work product is not named anywhere.

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.

Casefleet
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.

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. Casefleet also publishes use case pages for people handling their own matters, such as VA disability claims, small claims, custody documentation and estate settlement. On jurisdiction, the agreement acknowledges only that AI output may not apply in the user's jurisdiction.

Everchron
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.

There is a real published position on advice versus tooling, short of the full treatment. Section 4.4 is direct. Although the Services support customers in the legal industry, Everchron never works under or at the direction of any counsel using them. There is never an attorney client relationship between Everchron and any party, and nothing provided through the Services is legal advice. Section 4.5 adds that Everchron provides the Services as an independent contractor and neutral vendor and represents no party in any matter the Services support. It is never to be treated as an expert witness or consultant for any subscriber or party. That matters in litigation, where a vendor's status can itself become discoverable. Supervision is addressed in the AI section, which requires the customer to evaluate the accuracy of any output, including through human review. Jurisdiction is not addressed. Nothing says where the product is meant to be used or what limits apply, and no bar or conduct authority is cited. Nothing tells a lawyer how to meet competence and supervision duties when an agent runs multistep work across a matter.

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.

Casefleet
DD on AI Governance and Bias DisclosureNo governance position published for a system whose output affects legal outcomes.

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.

Everchron
DD on AI Governance and Bias DisclosureNo governance position published for a system whose output affects legal outcomes.

No governance disclosure is published. There is no AI policy, responsible AI or ethics statement, governance framework, bias or fairness discussion, description of model evaluation or testing, named internal owner for AI decisions, or claim of alignment with a framework such as ISO 42001 or the NIST AI Risk Management Framework. This is not general silence. Everchron publishes a detailed account of how a user controls EC:AI: opt in at organization level, enablement by matter, permissions by user, scope selection, visible plans and steps, and provenance labels. That is governance of use. None of it is governance of the models: nothing describes how they are chosen, assessed before release, monitored in production, or tested for uneven performance across the kinds of material in a litigation record.

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.

Casefleet
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.

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.

Everchron
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.

Control over exposure is strong; how content is handled inside the AI is not described. The AI is off unless chosen. EC:AI is opt in at organization level, the agreement defines AI Products as optional, administrators can enable or disable them by matter, and permissions decide which users reach them. That lets a firm keep a sensitive matter out of the AI entirely. The content license in section 1.4.1 is granted for the sole purpose of providing the Services, section 4.6 limits the vendor's own improvement use to deidentified usage data such as document types and tag counts, and section 1.5 leaves ownership with the customer. An independent security firm audits and tests the web application and network infrastructure, and the product supports SAML single sign on and TOTP multifactor authentication. What is missing is an account of data in the AI. Nothing says what happens to content while EC:AI processes it, whether it leaves Everchron's environment, whether any outside provider receives it, or how long anything derived from a request persists. Section 12.1 mentions contractors, third party vendors and hosting partners without naming any. And the license in 1.4.1 extends to improving the Services using content itself, which goes beyond pure purpose limitation.

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.

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

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.

Everchron
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

No real recourse survives the agreement's drafting. Section 8.2 expressly disclaims all warranties, including that results will be accurate or reliable, and provides the Services and output as is and as available. Section 7.3 says output is provided as is and that Everchron is not liable for any damages a customer or third party claims from it. Section 9.1 excludes direct damages as well as indirect, incidental, special and consequential ones, then caps total liability at fees paid in the six months before the event. There is no uptime commitment, service credit or cure period, and the trial carries no service level agreement at all. The one apparent exception is empty: section 10.2 has Everchron indemnify the subscriber for breach of its warranties under section 8.2, but section 8.2 is the disclaimer and contains no warranties to breach. Disputes go to mandatory individual arbitration before the American Arbitration Association in Los Angeles, with class action and jury waivers, subject to a thirty day opt out by email.

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.

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

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.

Everchron
BB on Practice Systems Integration DepthReal integrations exist and are documented, short of depth: named connections without a description of what they actually move.

There is one integration, and it is the one that matters most for this kind of product. Relativity has its own page in the navigation, and Everchron describes integration with both RelativityOne and Relativity Server, positioning the platform as the bridge between ediscovery and litigation management. For a fact management tool that sits after document review, Relativity is the system that matters most, and naming both the cloud and server editions is a real distinction. An API exists, known from the agreement rather than from documentation: section 6.3 reserves the right to suspend access for excessive API use. SAML single sign on supports integration with a firm's identity management. Breadth and documentation are missing. No document management, practice management, billing or court filing system is named, the depth of the Relativity connection is not described, and no public API documentation is published.

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.

Casefleet
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

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.

Everchron
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

Neither tenancy nor residency is stated, and the one statement about location points away from the customer. Amazon Web Services is named as the infrastructure, with Everchron pointing to AWS's own risk management and compliance assessments. That identifies the host and nothing more. No region, data center location or residency option is published, nothing restricts where content sits, and no tenancy model is described. Matter level access provisioning exists, but that is access control, not separation. The privacy notice addresses location in the permissive direction: unless the customer instructs otherwise, Everchron and its subprocessors may process personal information globally and may transfer it out of the European Economic Area, so global processing is contemplated rather than constrained. No self hosted or private deployment option is offered. A status page reports service availability, which is operational transparency rather than a residency or tenancy commitment.

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.

Casefleet
CC on Security Certifications and Trust CenterBadges appear on the site with no scope, no date, and no report available.

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.

Everchron
CC on Security Certifications and Trust CenterBadges appear on the site with no scope, no date, and no report available.

There are real controls, including an independent testing claim, and no certification or portal of any kind. The site has no security page. The security material on the homepage is specific on one point: an independent security firm audits and tests the web application and network infrastructure. The firm is not named, no report is published and no date is given, so the claim cannot be checked from outside. Alongside it are SAML single sign on, TOTP multifactor authentication and an organization settings panel for security configuration. A business associate agreement is published in full for customers handling protected health information, a real document rather than an offer to negotiate one. There is no attestation: no SOC 2, no ISO 27001, no other certification, no named auditor, no penetration test report and no trust center or document portal. The AWS compliance material Everchron points to belongs to the hosting provider. No unsupported badge is displayed.

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.

Casefleet
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

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.

Everchron
DD on Model Supply Chain DisclosureNothing published about the model supply chain a customer inherits.

Nothing about the models is disclosed. No model, version, family or provider is named, no inference route is described, and there is no subprocessor list, data processing agreement or trust center where such details might sit. The only description is the phrase proprietary AI, used once on the product page. That claims ownership without describing provenance: it does not say whether the models were built in house, adapted from open weights, or licensed and run on Everchron's infrastructure. The agreement mentions third parties only in general terms. Section 12.1 says Everchron may use contractors, third party vendors and hosting partners to provide the Services and the hardware, software, networking and storage they need, which is not specific to AI and names no one. Amazon Web Services is named as the host, but that says where software runs, not whose model reads a case file. The vendor publishes a full account of how a user controls the AI and nothing at all about what the AI is.

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.

Casefleet
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.

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.

Everchron
DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.

No pricing is published at any level, not even the unit of charge. The navigation covers features, solution, in house, blog, about, careers, press, support and status, with terms, privacy and cookies in the footer; there is no pricing page, and every commercial link leads to Schedule a Demo. The agreement confirms this. Section 3.1 makes access conditional on paying any fee in Everchron's fee schedule, and Documentation is defined to include fee schedules, so a fee schedule exists but is not published. The agreement does publish billing mechanics. Subscriptions are charged automatically to a card on file, monthly fees are paid in advance and renew automatically, and annual fees are paid in advance on the anniversary. Fees and pricing can change on notice, all fees are nonrefundable with no credit for partial periods or downgrades, and a free trial exists whose length Everchron sets and does not state. None of this says what the product costs or how it is metered, and no unit is named: not per user, per matter or per volume.

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.

Casefleet
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.

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.

Everchron
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.

There are two buyer surfaces and real depth in one kind of matter, but no coverage by practice area. The navigation has a Solution page and a separate page for in house teams, so law firms and corporate legal departments are addressed separately. Everchron describes rolling the platform out to a whole firm or to specific practice groups. The master file is described as built for the largest case files on the most complex matters, including multidistrict litigation with many parties, and the platform is positioned for cases of all sizes in the United States and worldwide. The AI page names litigation, investigations and arbitration as the matter types EC:AI was built for, and collaboration extends to other counsel on the case, local counsel and experts. Coverage is described by matter type and buyer type, not practice area. There is no employment, criminal, personal injury or other subject page, no breakdown by jurisdiction, the interface is in English only, and governing law and venue are Californian.

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?

Casefleet
Opt in

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.

Everchron
Terms silent

The agreement says nothing about whether Everchron trains on customer content, which stands out because it addresses training in the other direction. Section 7.2 bars the customer from using output to train its own machine learning models, but no permission, prohibition or opt out covers Everchron's own use of customer content for training. Two clauses come close. Section 1.4.1 licenses confidential information and content for the sole purpose of providing the Services, including the right to create, offer, monitor, troubleshoot and improve them.

Improving a service is broader than pure purpose limitation, but the clause does not mention machine learning, training or models, so it does not reserve a right to train. Section 4.6 is narrower, limiting the vendor's improvement and development use to deidentified usage data such as document types and tag counts, which Everchron owns. The product page says team review decisions help EC:AI understand the case and give more relevant results over time. That describes learning within a matter from accept and reject decisions, not model training.

Prompt and Output Retention

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

Casefleet
Not addressed

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.

Everchron
Disclosed without a period

Retention is addressed, but no standing period is stated. The scope is clear: the agreement's definition of Content expressly includes, if applicable, any prompts entered into the AI Products. Prompts are therefore treated as the customer's content rather than vendor telemetry, and they inherit the ownership, confidentiality and deletion terms that apply to everything else the customer uploads. Limits apply only at exit.

Section 6.5 says that on termination Everchron will make user data available to the subscriber for no more than sixty days, may keep it for a reasonable period afterwards, and may delete all user data ninety days after termination without notice. During a subscription, no retention period is published for prompts, outputs, or the intermediate products of an agentic request such as the plan and the steps taken. Nothing says whether a rejected draft fact persists, whether a discarded summary is kept, or whether anything derived from a request outlasts it.

Ethical Walls and Matter Segregation

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

Casefleet
Own model, documented

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.

Everchron
Claimed, not documented

Access control is claimed at the right level, but the separation model behind it is not documented, and one clause runs directly against the concern here. Access is provisioned and managed by matter, EC:AI can be switched on or off per matter, and permissions decide which users reach its features. An organization settings panel holds security configuration, and single sign on and multifactor authentication control entry.

Those are the controls a firm would use to keep a conflicted lawyer out of a matter, and they are described rather than just asserted. What is missing is the model. Nothing describes how one customer's data is separated from another's, no tenancy design is published, and nothing says whether AI retrieval respects the requesting user's permissions. Section 4.5 then answers the related question in the negative. Everchron acts as a neutral vendor with no duty to review cases for conflicts and will never be required to run a conflict review or seek a waiver, and the customer agrees that Everchron may access its confidential information and that of other parties using the Services. On a litigation platform where opposing parties may both be customers, that is disclosed plainly in the contract.

Third Party Request and Subpoena Notice

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

Casefleet
Disclosure addressed, notice absent

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, 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.

Everchron
Notice committed

The commitment is in the contract, applies to both parties and is specific about its purpose. Section 4.3 covers a party required by law to disclose confidential information the agreement otherwise protects. That party will give the owner prompt written notice before disclosure, to the extent the law allows, so the owner can seek a protective order or other relief. Three things give it substance. Notice comes before disclosure, not after.

Its stated purpose is to let the owner resist. And section 4.1 defines confidential information to include customer content and attorney client privileged communications, so the promise reaches the material a litigator cares about. The qualifier to the extent permitted by law is reasonable, since a sealing order can bar notice outright. Everchron publishes no transparency report and no statistics on demands received.

One limit: the privacy notice, which covers personal information rather than the matter record, describes sharing with law enforcement, regulators and others where required by law or subpoena or where Everchron reasonably believes it necessary, with no matching notice promise.

Primary Law Corpus Provenance

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

Casefleet
Not addressed

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.

Everchron
Not addressed

Two questions sit here and only one applies. EC:AI works on the customer's own matter, meaning the documents, transcripts, filings and exhibits a case team uploads, and Everchron says answers are grounded in that record and linked to it. There is no external legal database, case law library or licensed third party content behind the product, so the sourcing and licensing question does not apply. The question that does apply is where the models come from, and nothing addresses it.

The product page calls EC:AI proprietary AI and says no more, so nothing says what any underlying model was trained on, whether it was built in house or adapted, or on what rights it rests.

Good Law Verification

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

Casefleet
Not addressed

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.

Everchron
Not addressed

The product has no citator and makes no good law claim, which is expected for litigation fact management software. The citations EC:AI produces point to the customer's own documents and transcript passages, not to legal authority, so there is no case law to validate, no treatment signal and no subsequent history to check. Nothing in the product claims to tell a user whether a decision remains good law.

Refusal and Uncertainty Behavior

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

Casefleet
Not addressed

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.

Everchron
Not addressed

Uncertainty is acknowledged in the agreement, but no behavior is described. Section 7.3 says output may not be unique across users, that use may produce incorrect output that does not accurately reflect reality, and that output may contain hallucinations and may be inaccurate, objectionable or otherwise unsuited to purpose. That tells a user to expect error; it does not say what the system does when it meets one. No confidence score or reliability signal is described anywhere in EC:AI, nothing says when the assistant declines to answer or flags a weak result, and nothing covers a document it cannot parse or a question the record does not support.

Two related features answer different questions. The visible plan, sources reviewed and steps taken make the process auditable but do not describe behavior under uncertainty, and the accept and reject step on drafted facts applies to every draft, whatever the model's confidence.

Fabricated Citation Record

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

Casefleet
None located

The AI Hallucination Cases database kept by Damien Charlotin holds no entry naming Casefleet or LAWPRCT, Inc. as the tool used. Casey cites the customer's own uploaded documents rather than generating citations to legal authority, and every drafted fact is staged for human approval.

Everchron
None located

The hallucination case tracking maintained by Damien Charlotin, and the sanctions reporting drawn from it, record no matter naming Everchron or Icebox Inc.; where that reporting names the products involved, Everchron appears in none of it. The product's design keeps the exposure low. EC:AI cites the customer's own uploaded documents and transcript passages rather than generating citations to legal authority, drafted facts pass through an accept or reject step before entering a chronology, and AI generated content is labeled throughout the matter.

Bar Guidance Alignment

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

Casefleet
Generic reference

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.

Everchron
Not addressed

No bar or regulator guidance is named, cited or mapped anywhere, and the agreement's one compliance duty points elsewhere. Section 8.1 requires the customer to use the Services in line with all applicable Regulations, but that defined term covers only health information and data protection law: HIPAA, HITECH and the rules of the Department of Health and Human Services in the United States, and the GDPR where it applies.

Professional conduct is outside it. The agreement touches the lawyer's position in other ways, disclaiming any attorney client relationship, saying Everchron never works under the direction of counsel, and describing itself as a neutral vendor and never an expert witness or consultant. None of that is alignment with guidance on AI in legal practice. Nothing addresses a firm's own obligations when an agent plans and runs multistep work across a matter, and there is no treatment by jurisdiction.

Billing and Fee Posture

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

Casefleet
Savings claims only

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.

Everchron
Savings claims only

Efficiency claims are published, and the fee consequence is not addressed. The claims are qualitative. Everchron says its goal is to let lawyers, paralegals and practice support spend less time on manual tasks and more on substantive work, and to make the path from input to results quick and simple. It also says EC:AI solves the blank page problem, so teams spend less time on a first draft and more time evaluating the record.

No figure accompanies any of them. Nothing addresses what happens to a client's bill when transcript review that took a day takes an hour, no record of AI assisted work by matter is described, and no guidance on fee or disclosure treatment is offered. Two features come close without answering the question. EC:AI is switched on matter by matter, so a firm could in principle know which matters used AI, and AI generated content is labeled throughout the matter. Neither is presented as a billing record, and nothing connects either to what the client is charged.

Outside Counsel Guideline Readiness

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

Casefleet
Not addressed

Casefleet publishes no subprocessor list, data processing agreement, trust center or document portal. No model provider is named: the Terms of Service state 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. Amazon Web Services hosts all infrastructure and data, which says where the software runs, not whose model sees client content.

No client consent or notification pack, client disclosure template or published processing terms are offered. A HIPAA business associate agreement is offered on annual accounts for an extra fee, and single sign on is available on Enterprise.

Everchron
Not addressed

A firm cannot answer a client's AI clause from anything Everchron publishes. There is no subprocessor list on the site, and no data processing agreement, trust center or document portal where one might be found. No model provider is named, and nothing says whether any third party processes matter content through the AI at all. Section 12.1 of the agreement says only that Everchron may use contractors, third party vendors and hosting partners to provide the Services and the hardware, software, networking and storage they need; it names none and does not separate the AI layer from the rest.

The privacy notice says Everchron and its subprocessors may process personal information globally and transfer it outside the European Economic Area, which confirms subprocessors exist without naming them. Amazon Web Services is named as the host, but that says where software runs, not whose model reads a client's privileged file. No disclosure material for clients is published. A business associate agreement is published in full for protected health information, but it addresses HIPAA rather than AI disclosure.

Court Disclosure Support

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

Casefleet
Partial record

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.

Everchron
Exportable disclosure record

Everchron treats AI provenance as a product feature rather than a side effect of logging. Under a heading called Clear AI Provenance, it says a user will always know which content EC:AI generated and which the team created. AI generated summaries, facts, analysis and other work product are clearly identified throughout the matter, and the distinction carries through when content is exported. That gives a firm an exportable record: a firm producing a chronology or analysis can show which entries a person wrote and which the model drafted.

Two features support it. Every AI output links back to the document or transcript passage behind it, so the label travels with a source that can be checked. And the agentic workflow shows the plan, the sources reviewed and the steps taken, so the route to an answer can be inspected. Section 7.2 of the agreement also bars the customer from presenting output as human generated. Not published: guidance on disclosing AI use to a court, a certification template, or any description of an export in a form a tribunal would expect.

What neither one publishes

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.

Axes where neither earns credit
  • AI Governance and Bias Disclosure
Signals neither addresses in public material
  • Primary Law Corpus Provenance
  • Good Law Verification
  • Refusal and Uncertainty Behavior
  • Outside Counsel Guideline Readiness
Change log

Product updates

The latest logged changes from each vendor, newest first, each linked to its source.

Casefleet

  • Product / capability

    A new Case Stages Board shows each matter as a card in a litigation stage lane, from pre litigation through discovery, mediation, trial, appeal and resolution.

    Source
  • Product / capability

    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.

    Source
  • Product / capability

    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.

    Source
All 4 Casefleet updates →

Everchron

  • Model / architecture

    Everchron's 25 September 2026 release (Version 10.160.0) moved EC:AI Summaries for documents and transcripts to GPT-5.4 as the default model.

    Source
The Everchron update →

In summary

Casefleet

Casefleet is case chronology and fact management software for litigators, operated by LAWPRCT, Inc. of Atlanta and sold to plaintiff and defense firms since 2016. It is built around a chronology in which every fact links to its source document. Its AI assistant, Casey, answers questions with citations, drafts facts for the user to approve, summarizes documents and runs agentic workflows. According to the AI Legal Index, Casefleet publishes its full price list, from $30 per user per month without AI to $140 with it, and its agreement bars training on customer data without explicit consent.

Source: AI Legal Index, 2026

Everchron

Everchron is collaborative litigation management software from Icebox Inc. of Los Angeles, built by former litigators and offered since 2016. A shared case chronology links facts, documents, issues and people, with a master file for large matters including multidistrict litigation, witness profiles and transcript management. It integrates with RelativityOne and Relativity Server. Its opt in AI, EC:AI, plans multi step work with cited answers, drafts facts for acceptance and summarizes transcripts. According to the AI Legal Index, EC:AI can be switched on or off matter by matter, and Everchron labels AI generated content through export.

Source: AI Legal Index, 2026

Questions buyers ask

Casefleet vs Everchron: which is better for case chronologies?

They are close. Everchron publishes more about controlling and tracing its AI and integrates with Relativity. Casefleet publishes its prices, a consent requirement before any training on customer data, and an intellectual property indemnity. Large firms on Relativity have more to read from Everchron; smaller firms pricing seats have more from Casefleet. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.

Does Everchron mark AI generated work?

Yes. Everchron states that AI generated summaries, facts, analysis and other work product are identified as such throughout a matter, that a user can always tell which content EC:AI produced and which the team created, and that the distinction carries through when content is exported. Every output links to the document or transcript passage behind it. Its terms also bar customers from representing AI output as human generated. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.

How much does Casefleet cost?

Casefleet publishes Starter at $30 per user per month with no AI and a 20 document limit per case, Advanced AI at $140 per user per month, and custom Enterprise pricing for twenty or more users, with 22 percent off for annual payment. Metered extras are priced per unit, including OCR at $1 per 100 pages and AI credits at $0.001 each beyond the free allowance. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.

Does Casefleet or Everchron train AI on case files?

Casefleet's agreement says it will not use customer data to train its AI systems without explicit consent and describes a closed loop system, while reserving use of anonymized, aggregated interaction data to improve the platform. Everchron's agreement does not address its own training either way; it licenses content to provide and improve the service, and bars customers from using output to train their own models. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.

Disclosure

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.

Three points to weigh. Everchron's agreement says it acts as a neutral vendor with no duty to check for conflicts. It also says it may have access to the confidential information of the customer and of other parties using the service, which matters where opposing sides may both be customers. Its indemnity refers to warranties in a section that disclaims all warranties. Casefleet's agreement discloses that its AI runs on several third party providers without naming any, and states that transmissions to third party vendors are not guaranteed to be encrypted. Neither vendor reviewed this page.

Contact

Correct a record, or ask how something was graded

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 465 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
November 10, 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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