Anytime AI vs Eve: how they compare in 2026
Anytime AI and Eve both sell AI only to plaintiff firms, turning medical records into chronologies and carrying cases through demands, discovery and pleadings. They part ways on evidence, security and fit with a firm's systems. Eve's lead is evidence and security posture. It names Frontier Law Center with intake conversion rising from 10 to 35 percent, states SOC 2 Type 2 and HIPAA, and isolates data at firm, user and workflow level. Its agents advance cases without waiting for prompts, with an Auditor role checking the work. Anytime AI's lead is fit with a firm's systems. It connects to SmartAdvocate two way and to Litify, its assistant says so when the record has no answer, and it names about eighteen attorneys by firm in its testimonials. Anytime AI's liability terms would sit in its subscription agreement.
Which one fits
Choose Anytime AI if
- Your firm runs SmartAdvocate or Litify. Anytime AI connects to SmartAdvocate two way and to Litify, and to SharePoint, Dropbox, OneDrive, Google Drive and Box, so it works as a layer over the systems the firm already uses.
- You want the assistant to admit when the record is silent. Anytime AI's Talk to Teddy answers only from documents in the matter, ties each answer to a cited source, and says so when a note does not exist rather than inventing one.
- You litigate nursing home, malpractice, trucking or brain injury cases. Anytime AI has practice pages for each, and named attorneys describe it reading medication and treatment administration records and nursing home flow sheets.
Choose Eve if
- You want AI that moves cases forward on its own. Eve's AI Workforce runs coordinated Agents, Auditor and Analyst roles that advance cases proactively, from intake evaluation through demands, complaints and both sides of discovery.
- You want outcomes from a named firm. Eve names Frontier Law Center, whose managing partner reported intake conversion rising from 10 to 35 percent and average case value up 90 percent, and states more than 450 firms use it.
- Your security review needs a certification. Eve states SOC 2 Type 2 and HIPAA compliance with annual independent audits, AES-256 encryption, and data isolated to the firm at organization, user and workflow levels.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
Every published capability is model output: medical chronologies and overviews, standard of care analysis, demand letters, discovery review, deposition and filing summaries, motions and memos, and answers across a matter through the Talk to Teddy assistant. No repository, case management, calendar or billing layer is licensed. Integrations connect to what a firm already runs: two way connections to the case management systems SmartAdvocate and Litify, and to SharePoint, Dropbox, OneDrive, Google Drive and Box for storage. Anytime AI calls itself an all in one agentic AI platform for plaintiff lawyers.
Eve was founded in 2020 to build on AI, with no earlier product to attach models to. The January 2026 relaunch as an AI Workforce is built around three agent roles, Agents, Auditor and Analyst, and the June 2026 EveOS launch positions it as an operating layer for the firm rather than a tool inside one. Every deliverable is generated: intake evaluation, medical overviews, demand letters, complaints and discovery responses in both directions. The system also adapts to a firm's writing style with use, which is model behavior rather than configuration. Without the models nothing remains.
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.
Anytime AI says hallucination is handled by combining information extraction with retrieval augmented generation, and that the assistant is a closed system answering only from the documents in a matter, with every response tied to a cited source in the case file. Its rule is no citation, no answer, and answers come from the medical records, deposition transcripts, discovery responses, photographs and police reports in the matter, not from general training data. Chronologies come in timeline format with citations, and demand letters are described as citation ready. No accuracy figure, error rate, test set or third party evaluation is published, and no failure mode is named. The citations point to the customer's own case file rather than legal authority, and the legal research tool's sources are not identified.
Answers cite sources linked back to the firm's own documents, Eve says, and the system checks its own responses and lets users verify a response in one click. The Auditor agent introduced in January 2026 makes checking a named part of the system. No accuracy figure, extraction recall on medical records, hallucination rate or evaluation is published. Nothing says what the self check tests, what happens when it fails, or how the system behaves when records are incomplete or contradictory.
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.
Anytime AI describes agentic discovery review, agentic workflows across the case, an assistant that thinks through facts, timelines and legal theories, and a platform that lets firms run more matters without adding headcount. On oversight, it says the platform works alongside a firm's attorneys and that output is professional documents attorneys can refine and use immediately. No mode, stopping threshold, approval step, review screen or escalation route is described, and nothing separates tasks the platform completes from ones it proposes. The nearest boundary is the grounding rule that the assistant answers only from the matter file and says when the record has no answer, which limits what it asserts rather than who checks it.
The AI Workforce is three coordinated agents that move cases forward without waiting for attorney prompts, and EveOS extends that to the firm's operations. The Auditor role is a named checking function within the workforce. Section 3.4 of the Master Service Agreement makes the customer configure, authorize, limit and monitor each agentic feature and bars any action with legal effect, including filing, serving or sending a document to a court, opposing party or client, without prior approval by a licensed attorney qualified in the jurisdiction, and section 7.4 treats all output as a draft for attorney review. Those are customer obligations in the contract. Nothing published describes a product control that stops an agent at that point, what triggers Auditor review or what standard it applies, or what happens when Agent and Auditor disagree.
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.
A logo wall shows nine firms: Brown Chiari, Lomurro Law Trial Lawyers, Mandell Boisclair & Mandell, Truck Wreck Justice, Ernst Law Group, Romano Law Group, Tosh Law Firm, Clement Law Group and Garcia & Coman. About eighteen testimonials each carry a named attorney, title and firm, from Stephen Garcia at Garcia & Coman to Blake Dickson at The Dickson Firm and Carma Henson at Henson Fuerst, several describing the work in practitioner terms such as MARs, TARs, ADLs and nursing home flow sheets. Ernest Tosh of Tosh Law Firm describes eighty percent of the time freed on some tasks, and Stephen Garcia describes running the platform on a past case with results consistent with the firm's own work. Neither has a method, period or dated record behind it. Four named attorneys are published as having helped design the product, two of them also customers, and eight state trial lawyer association partnerships are sponsorships, not deployments.
A funding announcement dated September 2025 reports more than 450 firms, more than 350 added in eight months, more than 200,000 cases a year, and firms recovering more than $3.5 billion in settlements and judgments in total. Named customers report results with attributed comment. Frontier Law Center's managing partner, Manny Starr, quoted by name in a named publication in March 2026, reports intake conversion rising from 10 percent to 35 percent, intake time falling by 50 minutes per call, and average case value rising 90 percent. James Scott Farrin attorneys complete medical chronologies in minutes that used to take weeks. A separate verified user reports case capacity rising up to 2.5 times without new staff. The figures have no method or baseline, and the $3.5 billion is a total of customer outcomes rather than a measure of Eve's contribution.
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.
A home page block headed Attorney Client Privilege says the architecture ensures no third party can access privileged communications or case strategy, and the FAQ describes end to end encryption and firm held encryption keys, stating that only the firm can access and decrypt its data and that Anytime AI cannot view client information, case strategy or communications. Case files, medical records and work product are never used to train any AI model. Access is documented: role based permissions, a need to know rule backed by contractual nondisclosure agreements, audit logging and a closed private environment. Retention and deletion are not stated, and no position is published on what a third party model provider may retain, as none is named. The firm held key claim sits against a platform that analyzes those same documents on its servers.
Eve says the platform is built with attorney client privilege as a first principle, that case data is never used to train shared models, and that data is isolated to the firm at organization, user and workflow levels. Isolation by workflow is aimed at keeping one matter's content from surfacing in another. Eve also claims SOC 2 Type 2 certification, HIPAA compliance for the claimant health information the product takes in, and AES-256 end to end encryption. The isolation design is described but not documented, and no attestation covers privilege.
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.
The platform is sold only to plaintiff law firms and attorneys, not to consumers or claimants, and its practice material presents output as professional documents attorneys refine and use, which frames it as drafting support. Anytime AI's blog notes that bar associations have reminded lawyers that the duty of competence applies to AI tools, and warns that a general purpose chatbot is not safe for substantive legal work. No published statement says that the vendor is not a law firm, that output is not legal advice, or that a lawyer must use independent judgment before filing. Nothing addresses supervision of machine drafted pleadings, and no jurisdictional limit is stated despite research claimed across all fifty states. The Master Software Subscription Agreement, dated 5 February 2026, is published ungated as a PDF.
Section 7.4 of Eve's Master Service Agreement has the customer warrant that it will not use the service, Eve AI or its output as a substitute for legal services or legal advice, that all output is a draft a licensed attorney qualified in the relevant jurisdiction must independently review and verify before it reaches a client, court, opposing party or anyone else, that the service is used only under the oversight of licensed professionals, that it is never used for the unauthorized practice of law, and that the firm follows court rules, standing orders and conduct rules on disclosing AI use. Section 3.4 bars any agentic action with legal effect, such as filing, serving or sending a document to a court, opposing party or client, without prior review and approval by such an attorney, and section 3.5 bars agent outreach that breaches solicitation rules or contacts a represented person. Section 7.7 states that Eve provides no legal services, and no attorney client relationship arises. These duties sit on the firm by contract; nothing describes how the product itself supports an attorney's competence or review, and no bar guidance is named. Agents are stated to advance cases proactively without waiting for attorney prompts, and the product drafts complaints and discovery responses.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
The governance on offer is a closed AI architecture contrasted with public tools, a zero data training policy stated repeatedly, encryption and role based access, and a compliance wall naming NIST 800-171 and the Cloud Security Alliance. No AI governance or responsible AI page exists, no AI framework or certification is named, no one is named as accountable for AI decisions, and nothing describes evaluation before release or any testing or red teaming. Bias is not addressed, though the platform reads medical records to find deviations from the standard of care and build damages narratives, and nothing considers whether that works evenly across patient populations, care settings or record quality.
No AI policy, model card, bias or fairness testing, evaluation method or result, accuracy monitoring, drift statement, named governance body or ISO 42001 is published. The product performs case evaluation and identifies missed case value, so it makes judgments about what a claim is worth, inside an agent architecture that advances cases proactively across 200,000 cases annually. The Auditor agent checks output within the system and is not an independent evaluation of the models.
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.
AES 256 encryption at rest, TLS 1.2 or later in transit, role based access controls, a need to know rule backed by contractual nondisclosure agreements, audit logging, encrypted backups, continuous monitoring and a closed private cloud make up Anytime AI's published safeguards. No retention period is stated for case files, prompts or generated documents, no deletion or export on termination is published, no subprocessor is named, and no breach notification commitment is published. An eighteen page Data Privacy and Security Policy is published as an ungated PDF.
Case data is encrypted with AES-256 end to end, never used to train shared models, and isolated to the firm at organization, user and workflow levels. Eve also says the system learns a firm's tone, language and style and adapts with use, which describes adaptation within each firm with no pooling across customers. No retention period for case content or output is published, no deletion right at matter close is stated, and nothing says whether firm level adaptation can be turned off or what happens to an adapted model when a firm leaves. HIPAA compliance covers protection of claimant health data, not how it is used.
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.
Nothing published says who bears the loss when the system is wrong. No warranty, indemnity, liability cap, exclusion, service credit or insurance position appears on the home page, security page, practice pages or FAQs, and nothing covers a missed treatment entry in a chronology, a misstated damages figure in a demand letter, or a wrong discovery response, on a product whose output goes to insurers and courts. Anytime AI publishes a Master Software Subscription Agreement dated 5 February 2026 as an ungated PDF, which would usually carry these terms.
Section 9 of the Master Service Agreement excludes indirect and consequential damages and caps Eve's total liability at the fees paid or payable for the service in the twelve months before the first incident, with only the intellectual property indemnity outside the cap. Under section 8.1 Eve defends infringement claims against the service, while section 8.2 has the customer indemnify Eve for claims arising from customer data, its use of output and agentic features, and its use of the service. The only service warranty, in section 7.1, is conformance with the service level agreement, which sets 99.5 percent monthly uptime, with correction, credits and a refund of prepaid fees as the exclusive remedies. Section 7.5 says output may contain material inaccuracies, section 7.7 disclaims responsibility for any filing or outcome in a matter, and section 3.4 makes Eve not responsible for actions an agentic feature takes within the scope the customer configured. Agents advance cases proactively, and the product drafts pleadings and discovery responses subject to filing deadlines and certification requirements.
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.
SmartAdvocate is described as a two way integration, and Litify is also connected; both are case management systems. Storage connections cover SharePoint, OneDrive, Google Drive, Dropbox and Box. Anytime AI's framing is that a firm connects it to the systems it already uses rather than migrating. Only one integration has its direction stated and none has its contents described: nothing says which objects sync, whether documents are pulled or pushed, whether generated work returns to case management, what a firm must configure, or what permissions connectors need. No API, developer documentation, connector catalog or integration page is published, and no authentication method is described.
No case management, document management, records retrieval or research integration, and no API documentation, appears on the home page, the working with Eve page, the product material, the site navigation or in press coverage of the AI Workforce and EveOS launches. EveOS is described as an operating platform for the firm.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
The platform is described as a closed private environment, unlike public AI tools, built on secure private cloud infrastructure with encrypted backups and continuous monitoring, and reached through a hosted application at an enterprise subdomain. No cloud provider, region or data center is named, no residency option is offered or refused, and nothing separates where medical records are stored from where model inference runs. The product processes protected health information at volume and is marketed as HIPAA compliant without saying where processing happens or who runs the infrastructure. No on premises or single tenant option is described.
Secure cloud infrastructure is stated with no provider, region or residency commitment, and no single tenant or dedicated instance option is described. The firm level isolation Eve describes is a logical separation claim, not a statement of which jurisdiction the data sits in. The platform holds claimant protected health information across 200,000 cases annually.
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.
Anytime AI's security page shows SOC 2 Type II, HIPAA, GDPR, FedRAMP, FIPS 140-2, NIST 800-171, CSA and PCI, with no auditor, observation period, certificate number, scope or route to a report, and there is no trust center. An eighteen page Data Privacy and Security Policy is published ungated as a PDF. FedRAMP is an authorization for cloud services sold to United States federal agencies, not something a private vendor holds by assertion, and the badge does not say which status is claimed. ISO 27001 appears in a vendor FAQ among standards met but is missing from the security page, so the site is inconsistent.
The security claims are SOC 2 Type 2 certification, HIPAA compliance, AES-256 end to end encryption, secure cloud infrastructure, and policies reviewed annually by independent audits. No auditing firm is named, no examination period, scope or certificate date is published, and there is no trust center, security page or way to request documents. Eve also calls itself the first legal AI to be SOC 2 Type 2 certified, with no published source for the claim.
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 only statements are that data is never used to train our models, that the platform is a closed private environment unlike public AI tools, and that hallucination is managed by combining information extraction with retrieval augmented generation. No model, version, third party provider or inference hosting is named, nothing commits to notifying customers of changes, and no subprocessor list exists. The closed environment is offered as the reason a firm can trust the platform with privileged material, without saying whose models sit inside it. The product sends medical records and case strategy to those models.
No foundation model provider, model family or version is named, nothing states whether third party models sit underneath the agent architecture, and no subprocessor list is published. The commitment that case data is never used to train shared models implies a split between shared and firm scoped models, without identifying what either is built on. The chain of processors handling protected health information is not named.
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.
No pricing is published at any level, including the unit of charge. There is no pricing page and no plan, tier, rate, band, minimum or term, and nothing says whether the platform is licensed per seat, firm, matter or page of records. The only commercial route is a demo booking, with a sales address and telephone number. A Fulfillment Policy is published as an ungated PDF in the site footer and may cover billing cadence, refunds and cancellation.
Section 4 of the Master Service Agreement sets out how Eve charges, with rates left to each order: a platform fee tiered by the number of existing matters in the service, per-matter billing with a page allowance for each matter tier, leads counted once, and voice agent minutes billed by the second. Usage beyond the order's entitlements is trued up monthly at the order's overage rates or Eve's list rate, extra pages move a matter to the next tier, and third party integration fees fall on the customer. Fees exclude tax, late amounts carry 1.5 percent a month, orders are non-cancellable, and subscriptions renew for one-year terms unless notice is given 30 days before the end. No price, range or list rate is published. Independent material describes the target segment as small to medium plaintiff firms, without an attorney count, revenue band or case volume threshold. In contingency work, case costs are advanced against a claimant's recovery.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
The segment is plaintiff firms only, especially those with larger and more complex matters, and Anytime AI also says it serves plaintiff firms of every size from solo to large. Five practice areas have their own pages: personal injury, nursing home litigation, medical malpractice, trucking accident litigation and traumatic brain injury. Named attorneys describe the work in practice terms, such as medication and treatment administration records, activities of daily living and nursing home flow sheets. Partnerships with eight state trial lawyer associations support the segment but are not deployment evidence. No jurisdictional limit is stated, despite a claim of research across all fifty states; nothing says which matter types or claim values are unsuitable; and defense work is excluded by positioning but never stated as a boundary.
Coverage runs from intake to resolution: intake and case evaluation, medical overviews and chronologies, demand letters, complaints, and discovery in both directions, so it reaches into litigation beyond the demand. Personal injury is the main focus, with medical malpractice, employment and general litigation. Independent reviews show no family, criminal, intellectual property or transactional work. The target of small to medium firms carries no attorney count, revenue band or case volume. Nothing describes which record types or formats are handled, which jurisdictions the drafting covers, or whether discovery covers both state and federal practice.
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?
Public material says plainly that customer content is not used for training. The claim is unconditional and repeated on three pages: a home page block headed Zero Data Training; an FAQ saying case files, medical records and legal work product are never used to train any AI models; and a security page saying data is never used for training, ever. Another FAQ adds that Anytime AI does not use or share data for model training and that staff work under a need to know rule backed by contractual nondisclosure agreements.
The Master Software Subscription Agreement, dated 5 February 2026, is published as an ungated PDF, and no matching term from it is on record.
Case data is never used to train shared models, Eve says. The same page says Eve learns a firm's tone, preferred language and style and adapts with use, which describes adaptation within each firm with no pooling across customers. Isolation is specified at organization, user and workflow levels. The commitment is a policy statement, not a contract term. No opt out from firm level adaptation is described, no retention period is published, and nothing says what happens to an adapted model when a firm leaves.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
How long case files, prompts and generated documents are kept goes unstated. The security pages cover AES 256 encryption at rest, TLS 1.2 or later in transit, role based access, audit logging, encrypted backups and continuous monitoring, but nothing on lifecycle: no retention period, deletion right, export on termination, or separate handling of prompts and generated chronologies and demand letters. The eighteen page Data Privacy and Security Policy dated August 2025 and the Master Software Subscription Agreement dated 5 February 2026, both ungated PDFs linked in the footer, would usually answer this. The material held is protected health information belonging to the firm's clients.
Case files, medical records and generated demands, complaints or discovery responses carry no published retention period, and nothing says a firm can require deletion at matter close. Eve says the system adapts to a firm's writing style with use, which implies something derived from the firm's content persists beyond each matter. Nothing describes what it is, how long it lasts, or whether it can be reset.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Anytime AI publishes role based access controls and permissions so only authorized users see sensitive information, a rule that only the firm's authorized team can reach its data, a need to know policy for vendor staff backed by contractual nondisclosure agreements, and audit logging. The firm administers that model. The environment is described as closed and private, with encryption keys held by the firm so the vendor cannot read case strategy or client information.
Nothing enforces an outside document management system's access model, and no default configuration is published. Nothing describes separation between matters, screening a conflicted user from a case file, or how the assistant's reach is bounded when a firm runs adverse or related matters.
Eve says data is isolated to the firm at organization, user and workflow levels, naming three boundaries, and workflow level isolation speaks to separating matters. Nothing documents how the boundaries are enforced, whether user level isolation means retrieval respects the user's permissions, or whether a matter can be walled off from other users in the same firm. Nothing says how agents that move cases forward across a caseload respect those limits, and there is no document management integration to inherit permissions from.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Third party demands for customer data have no stated handling. Nothing mentions subpoenas, warrants, court orders, law enforcement or government requests, no notice commitment appears, and there is no transparency report. The eighteen page Data Privacy and Security Policy and the Master Software Subscription Agreement dated 5 February 2026 are published as ungated PDFs. The platform holds protected health information of injured claimants and their providers, gathered for litigation, and a demand served on the platform rather than the firm would reach material clients expect the firm alone to control. The claim that only the firm can decrypt its data does not address it.
No government or law enforcement request clause, commitment to notify a customer before producing their data, or transparency report appears on the home page, the working with Eve page or in the site navigation. Eve holds claimant protected health information, unfiled pleadings and discovery work product across more than 450 firms and 200,000 cases annually.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The documents the assistant works from are identified precisely, and nothing behind them is. The assistant draws only on the documents in a matter, listed as medical records, deposition transcripts, discovery responses, photographs and police reports, and is described as a closed system answering only from those files. The platform also offers legal research, finding case law, statutes and legal arguments across all fifty states, but no source, database, publisher, license, coverage table or update schedule is named for it. Nothing says what the underlying models were trained on, and no model or provider is named.
The platform works on the firm's own case files, medical records and documents rather than a published law corpus, so there is no external legal source to name, license or date. Nothing published states what the underlying models were built on, though the product drafts complaints and discovery responses that depend on pleading conventions and procedural rules, and performs case evaluation, which implies exposure to outcome data.
No settlement or verdict repository is named as a distinct asset, so the basis for case value identification is unstated.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Authority carries no stated check for later history. The product offers legal research, described as finding case law, statutes and legal arguments in the context of a matter and researching liability and statutes across all fifty states in minutes. Nothing says where those authorities come from or whether their status is checked: no citator is named, no treatment categories are described, and nothing says the platform reports reversed, vacated, overruled or superseded decisions.
The rule that every response ties to a cited source covers the customer's own documents, not the currency of outside authority. Anytime AI's own comparison material notes that a competing plaintiff platform builds treatment status into its research, with no matching claim for itself.
The product drafts complaints and discovery responses, which cite law and are filed in court. The home page, the working with Eve page and the product material name no citator, research provider or treatment check, no Westlaw or similar integration, and no source for the legal citations in its pleadings.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The vendor describes abstention in operational terms. Its worked example: asked what an orthopedist said about a client's range of motion at a six month follow up, the assistant finds the note and reports it, and if there is no note it says so instead of inventing one. The design rule is no citation, no answer, with every response tied to a cited source in the case file, and the system answers only from documents in a specific matter.
No evaluation, benchmark, error rate or example set shows the behavior holding, no confidence score is shown to reviewers, and nothing describes what a user sees when an answer is declined.
Proactive validation of responses and one click verification are stated, and the January 2026 AI Workforce release names an Auditor agent as one of three coordinated roles. Neither describes what happens when validation fails: whether the system declines to answer, flags low confidence, surfaces a gap in the medical record, or proceeds and marks the output. Agents advance cases proactively without attorney prompting.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database maintained by Damien Charlotin records no case naming Anytime AI, and two independent sanctions trackers name none either. This is a statement about the public record rather than a finding about the product, and it is not a litigation history.
Three records name Eve as the tool behind fabricated or misquoted citations in lawyers' filings, and each addresses the lawyer's conduct: a reprimand, a show cause order and a letter from counsel. In the matter of John A. Griffiths (Presiding Disciplinary Judge, Supreme Court of Arizona, PDJ 2026-9015, 13 March 2026), the agreed facts say a draft response prepared with Eve.legal cited a case that does not exist and misdescribed a real one, and the lawyer filed it without reading or cite checking the cases; he was reprimanded under ERs 1.1, 1.3, 3.1 and 8.4(d) and ordered to pay $1,200 in costs.
In Tlingit Haida Tribal Business Corporation v. OnePromom (D. Colo., No. 25-cv-03285, order of 9 June 2026), counsel certified that Eve Legal was used to draft a motion, and the court ordered her to show cause under Rule 11 for attributing an inaccurate quotation to Seale v. Peacock. In Rushing v. Turner (19th Judicial District, Louisiana), counsel wrote to the court on 27 March 2026 taking responsibility for a misquotation in motions drafted with EVE and said he could not be sure the software caused it. The AI Hallucination Cases database kept by Damien Charlotin lists all three with Eve as the AI tool.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
A home page block headed Compliance Ready says the platform lets a firm meet bar ethics on confidentiality and third party data sharing and use AI without exposure. A blog page notes that courts have sanctioned attorneys for briefs with AI fabricated citations and that bar associations have issued guidance on the duty of competence for AI tools. Neither names an opinion, rule or issuing body: ABA Formal Opinion 512 does not appear, no state bar guidance is cited, and no conduct rule is identified by number. Nothing maps any capability to a specific duty.
The home page, the working with Eve page, the product material and the site navigation name no ethics opinion, ABA Formal Opinion 512, state bar guidance or professional conduct rule. The product drafts pleadings and discovery responses filed under an attorney's certification, and its agents advance cases without prompting.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Time savings are claimed throughout, and nothing addresses billing or disclosure. Claims include a named attorney describing eighty percent of the time freed on some tasks, projects that took days or weeks handled in hours, firms taking more cases without adding headcount, and record review and drafting cut from hours to minutes. Nothing says what this does to what a client pays, whether AI assisted work is identified, or whether clients are told.
Plaintiff firms often work on contingency, so time saved falls to the firm, but medical record review and chronology preparation are also often charged to clients as case costs deducted from recovery. Either way there is a fee relationship and a saving, and nothing published connects them. No pricing is published.
Eve reports intake conversion rising from 10 percent to 35 percent and intake time falling by 50 minutes per call at a named firm, case capacity up to 2.5 times higher without new staff, and average case value up 90 percent. The last is a claim about client recovery rather than firm efficiency, and it has no method, baseline or comparison group. Nothing on the home page or the working with Eve page addresses whether platform cost is a case expense or firm overhead in contingency work, and there is no disclosure guidance. No record shows what part of a demand, complaint or discovery response the system produced.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A firm facing a client side disclosure obligation would find nothing to support it. There is no subprocessor list. No model provider is named, so a firm asked which third party processes its client's medical records could not answer from anything published. No client disclosure pack, consent template, notification material or data processing addendum is published. The certifications wall names eight standards with no scope, date or route to a report.
No security contact, trust center or request route is published, so nothing suggests such material is available on request. The eighteen page Data Privacy and Security Policy and the Master Software Subscription Agreement are published as ungated PDFs.
Eve claims SOC 2 Type 2 and HIPAA compliance, AES-256 encryption and annually audited policies. The home page, the working with Eve page and the site navigation offer no trust center, security page, request path for the SOC 2 report, subprocessor list, named model provider or business associate agreement material, so the third parties that process claimant health data are not named.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Every response ties to a source in the case file, chronologies come in timeline format with citations, and the stated rule is no citation, no answer. Timelines can be exported for memos, trial exhibits and sharing, and chronologies are positioned as the basis for expert reports, deposition preparation and motions. No export built for disclosure is described. Nothing identifies which model produced a passage, and no model is named; nothing separates machine text from attorney edited text in an export; no record shows who verified what; and no disclosure template, certification form or court guidance is published, although Anytime AI writes about courts sanctioning attorneys over AI generated filings.
All sources for Eve's answers are linked back to the firm's own documents, with one click verification, so a party can show what a factual statement rests on and open the record. Nothing records which model produced the output, and no record of human verification is kept, so the record cannot show that an attorney reviewed a machine drafted pleading before filing, which is what court standing orders on AI ask. Eve drafts complaints and discovery responses that reach a docket, not just demand letters to insurers.
The Auditor agent checks work inside the system, but no record of that check is described as reaching the customer or the court.
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.
- Prompt and Output Retention
- Third Party Request and Subpoena Notice
- Good Law Verification
- Outside Counsel Guideline Readiness
In summary
Anytime AI
Anytime AI, based in White Plains, New York, is an agentic AI platform sold only to plaintiff firms. It turns medical records into chronologies and case overviews, flags treatment gaps and standard of care deviations, drafts demands, discovery responses and motions, and answers questions through its Talk to Teddy assistant. It has pages for personal injury, nursing home, medical malpractice, trucking and brain injury work. According to the AI Legal Index, it connects to SmartAdvocate and Litify and states a zero data training policy. Liability terms would sit in its published subscription agreement.
Eve
Eve, founded in 2020 in San Francisco, is an AI platform for plaintiff firms across the case lifecycle, from intake and medical chronologies to demand letters, complaints and discovery. It relaunched in January 2026 as an AI Workforce of agents that advance cases proactively. According to the AI Legal Index, Eve states SOC 2 Type 2 and HIPAA, names attorney client privilege as a first principle, reports more than 450 firms and has raised $164 million. Its AI Workforce runs as three coordinated roles, Agents, Auditor and Analyst.
Questions buyers ask
Anytime AI vs Eve: which is better for plaintiff firms?
They serve the same firms and differ in what they publish. Eve publishes stronger outcome evidence, certifications and isolation commitments, with agents that advance cases on their own. Anytime AI connects to SmartAdvocate and Litify and describes how its assistant declines when the record is silent. Firms that want a layer over their case management system have more to read from Anytime AI. From the AI Legal Index, based on each vendor's own published materials as of September 27, 2026. No vendor pays for placement.
Do Anytime AI and Eve train on case files?
Anytime AI states that case files, medical records and legal work product are never used to train any AI model. Eve states that case data is never used to train shared models and, separately, that it learns a firm's tone and style with use, which describes adaptation within the firm. Both statements are policy; neither appears in a readable agreement. From the AI Legal Index, based on each vendor's own published materials as of September 27, 2026. No vendor pays for placement.
How do Anytime AI and Eve handle attorney client privilege?
Both address it directly. Anytime AI states that its architecture keeps privileged communications and case strategy from any third party and that firm held keys stop it from reading client information. Eve states privilege is a first principle, with data isolated at organization, user and workflow levels. From the AI Legal Index, based on each vendor's own published materials as of September 27, 2026. No vendor pays for placement.
What can Eve's agents do without an attorney?
Eve describes its AI Workforce as three coordinated roles, Agents, Auditor and Analyst, that advance cases proactively rather than waiting for attorney prompts, with the Auditor checking output. From the AI Legal Index, based on each vendor's own published materials as of September 27, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Three points to weigh. Anytime AI publishes a subscription agreement dated 5 February 2026 and an 18 page data security policy, and no price at any level. Its security page shows badges, including FedRAMP, without scope or reports. Eve's agents act on cases without prompting, and the only published bound is in its Master Service Agreement, which bars any agent action with legal effect without a licensed attorney's prior approval. Its outcome figures carry no method. Neither vendor reviewed this page.