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. Eve sits in the top two bands on eight of fifteen axes and Anytime AI on six of fifteen, identical on five. 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, and it publishes no limit on what they may do unattended. 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. Neither publishes a price, and neither has a liability position this index could read.
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.
The models are the product and there is nothing underneath them to sell, which is the A band. Every published capability is model output: turning medical records into structured chronologies and overviews, identifying deviations from the standard of care, drafting demand letters from the resulting record, reviewing discovery, summarizing depositions and filings, drafting motions and memos, and answering questions across a matter through the Talk to Teddy assistant. There is no repository, case management system, calendar or billing layer being licensed underneath. The point is settled by the vendor's own integration strategy rather than inferred: it connects two-way to SmartAdvocate and to Litify, both of them case management systems already in this index, and to SharePoint, Dropbox, OneDrive, Google Drive and Box for storage. It plugs into the systems a firm already runs rather than replacing them, which is what a pure intelligence layer does. The commercial framing matches, the company describing itself as an all-in-one agentic AI platform for plaintiff lawyers. This grade says nothing about how much is disclosed about those models; on that, see the Model Supply Chain row, which sits far lower. Verified 12 September 2026.
AI native from founding and now architecturally explicit about it. The company was founded in 2020 to build this and has no preceding product to attach models to. The January 2026 relaunch as an AI Workforce is built around three coordinated agent roles, Agents, Auditor and Analyst, and the June 2026 EveOS launch positions the platform as an AI native 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 on both sides of the request. The system is also stated to adapt to a firm's writing style with use, which is model behavior rather than configuration. Remove the models and nothing remains. Sixth A on this axis in the pull and the third consecutive one in this category, which now looks structural rather than coincidental: every plaintiff side vendor built so far was model first, because the underlying task of reading medical records at volume was never automatable any other way.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
Grounding is real, documented and described down to the technique, short of any published measurement, which is B. The vendor names its method rather than gesturing at it: hallucination is addressed by combining information extraction with retrieval-augmented generation, and the assistant is described as a closed system that answers using only the documents inside a specific matter, with every response tied to a cited source in the case file. The vendor puts that as a rule, no citation, no answer, and states that answers do not come from a general training corpus but from the medical records, deposition transcripts, discovery responses, photographs and police reports in the matter. Output carries the citations through: chronologies are produced in timeline format with citations, and demand letters are described as citation-ready with integrated treatment summaries. That is a described retrieval method with linked sources, which is what B asks for. What holds it off A is measurement. No accuracy figure, error rate, test set, sample or third-party evaluation is published anywhere, and no failure mode is named. R15 applies to the authority limbs: the product's citations point to the customer's own case file rather than to legal authority, so citator-style checking does not bite, and the legal research tool's sources are not identified. Verified 12 September 2026.
Grounding is architectural, verification is built into the interface, and no measurement is published. The vendor states that all sources for Eve's answers are referenced with links back to the firm's own documents, that the system proactively validates its responses, and that a user can verify a response in one click. Proactive validation is a stronger claim than passive citation because it describes the system checking itself rather than only showing its work, and the Auditor agent role introduced in the January 2026 AI Workforce release suggests that checking is a named component rather than a background behavior. Held at B because none of it is quantified or specified: no accuracy figure, no extraction recall on medical records, no hallucination rate, no evaluation, no description of what proactive validation actually tests or what happens when validation fails, and no statement of behavior when the underlying records are incomplete or contradictory. A named auditor agent with no published output is a claim about architecture rather than evidence of accuracy.
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.
Autonomy is claimed and oversight is asserted without a mechanism, which is C. The autonomy claims are strong and repeated: agentic review of high-volume discovery, agentic workflows across the case lifecycle, an assistant that in the vendor's words thinks through facts, timelines and legal theories rather than merely summarizing, and a platform that lets firms run more matters at once without adding headcount. The oversight side is a posture rather than a control. The vendor says the platform works alongside a firm's attorneys through the full lifecycle of every case, and its practice-area material describes output as professional documents that attorneys can refine and use immediately, which positions a human as the reviewer. Nothing published turns that into a structure. No mode is described, no threshold is stated at which the system proceeds or stops, no approval step or review surface is named, no escalation route is set out, and nothing distinguishes a task the platform completes from one it proposes. The nearest thing to a boundary is the grounding rule graded on the row above, that the assistant answers only from the matter file and says so when the record does not support an answer, which constrains what it will assert rather than who checks it. Verified 12 September 2026.
The most autonomous product in this category and the most explicit about it, with the oversight built as a role rather than asserted as a principle. The AI Workforce is described as three coordinated agents that advance cases proactively rather than waiting for attorney prompts, which is a real autonomy claim stated plainly rather than hedged, and EveOS extends that to an operational layer. The Auditor role is the notable design decision: a checking function is a named part of the workforce rather than a caveat, which is the correct architecture for autonomous case advancement. Held at B because the boundaries are entirely undescribed. Nothing states what an agent may do without attorney approval, whether anything is sent or filed unattended, what triggers Auditor review, what standard it applies, what happens when Agent and Auditor disagree, or how a firm configures the limits. Proactive advancement of a live case is the highest autonomy claim on this index and it arrives without a single published bound.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Named customers in unusual depth, without an outcome carrying a method, which is B. The volume and specificity of attribution is the strongest in this lane: a logo wall of nine firms including 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, and roughly eighteen testimonials every one of which carries a named attorney, a title and a firm, from Stephen Garcia at Garcia & Coman to Blake Dickson at The Dickson Firm and Carma Henson at Henson Fuerst. Several describe the work in domain terms a practitioner would recognize, MARs, TARs, ADLs and nursing home flow sheets. One testimonial contains a figure, Ernest Tosh of Tosh Law Firm describing eighty percent of the time freed on some of his tasks, and one describes a validation exercise, Stephen Garcia running the platform against a past case with results consistent with the firm's own work. Neither carries a method, a period or a dated artifact behind it, so neither reaches the A limb; a vendor-reported figure inside a quotation is a claim rather than a measurement. Two things are recorded and deliberately not credited: four named attorneys published as product co-designers, two of whom also appear as customers, and eight state trial-lawyer association partnerships, which are sponsorships rather than deployments. Verified 12 September 2026.
The first A on this axis in the pull, and it is earned on the combination rather than on any single item. Scale is published and dated: more than 450 firms, more than 350 added in eight months, more than 200,000 legal cases processed annually, and firms collectively recovering more than $3.5 billion in settlements and judgments, all stated in a dated September 2025 funding announcement. Named customers with quantified outcomes and attributed comment: Frontier Law Center, with managing partner Manny Starr quoted by name in a named publication in March 2026, reporting intake conversion rising from 10 percent to 35 percent, intake process time falling by 50 minutes per call, and average case value increasing 90 percent. James Scott Farrin attorneys completing medical chronologies in minutes that previously took weeks. A separate verified user report of case capacity increasing up to 2.5 times without adding staff. An outsider can name the firm, name the partner, find the publication and check the date without contacting the vendor, which is the bar this axis sets. The figures still carry no methodology or baseline, and the $3.5 billion recovery total is a sum over customer outcomes rather than a demonstrated causal contribution, so the note records what the numbers are and are not.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
Substantive published commitments short of the full picture, and this record reaches the limb that the index's rule makes decisive and that most of the corpus misses. Privilege and work product are addressed head-on rather than folded into a general confidentiality claim: the home page carries a block headed Attorney-Client Privilege stating that the architecture ensures no third party can access privileged communications or case strategy, and the FAQ answers the question directly, describing end-to-end encryption and firm-held encryption keys and stating that only the firm can access and decrypt its data and that Anytime AI cannot view client information, case strategy or communications. Training is addressed as a flat policy commitment, that case files, medical records and legal work product are never used to train any AI model. Access is documented: role-based permissions, a need-to-know rule backed by contractual non-disclosure agreements, audit logging, and a closed private environment contrasted with public AI tools. Two of the five limbs are not met. Retention and deletion are not stated on any readable surface, and no position is published on what any third-party model provider may retain, no provider being named. Recorded rather than resolved: the firm-held key claim sits against a platform that performs server-side agentic analysis of those same documents, and the eighteen-page data policy that would reconcile it could not be opened by this index. Verified 12 September 2026.
THE FIRST RECORD IN 42 TO ADDRESS ATTORNEY CLIENT PRIVILEGE DIRECTLY. Every other vendor on this index, including the two plaintiff side competitors already built, graded C or B here on general security credentials with privilege simply unmentioned. Eve states that 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 kept strictly isolated to the firm at organization, user and workflow levels. Three named isolation levels is a specification rather than an assurance, and workflow level isolation in particular addresses the case where one matter's content should not surface inside another. Paired with the credentials this category actually needs: SOC 2 Type 2 certification, HIPAA compliance for the claimant protected health information the product ingests, and AES-256 end to end encryption. Graded A because it is strictly more than the B records in this category, which carry the same class of credential without any privilege position at all. The isolation architecture is asserted rather than documented and no privilege specific attestation exists, which is why the note says so, but the ladder has to reward a vendor that answers the question over vendors that do not acknowledge it.
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 intended audience is unambiguous and the advice line is not addressed, which is where this lands. The index's rule governs which limbs bite. The audience limb is answered completely: the platform is sold exclusively to plaintiff law firms and attorneys, is not offered to consumers or claimants, and its practice-area material positions output as professional documents that attorneys refine and use, which frames the product as drafting support rather than advice. The vendor also acknowledges the professional context in general terms, noting on its own blog that bar associations have issued guidance reminding lawyers that the duty of competence applies to AI tools, and warning that a general-purpose chatbot is not safe for substantive legal tasks. What is missing is everything that would make that a position. No statement was located that the vendor is not a law firm, that output does not constitute legal advice, or that a lawyer must exercise independent professional judgment before filing. Nothing addresses supervision of machine-drafted pleadings, and no jurisdictional limit appears despite research being claimed across all fifty states. The published Master Software Subscription Agreement would ordinarily carry that language; it is dated 5 February 2026, is published ungated as a PDF, and could not be opened by this index, so the row would move on a reading. Verified 12 September 2026.
Not located, and the gap is wider here than on any other record in this category because the autonomy claim is larger. Agents are stated to advance cases proactively without waiting for attorney prompts, and the product drafts complaints and discovery responses, which are filed documents bearing an attorney's signature and certification. Nothing published addresses the supervising attorney's duty over proactively advanced casework, what an attorney is certifying when signing a machine drafted pleading, the professional responsibility dimension of generated discovery responses, or any bar guidance. The Auditor agent is a quality mechanism inside the product and not a statement about the lawyer's own obligations. Checked the home page, the working with Eve page, the product material, the press coverage of both 2026 launches and the site navigation on 29 Aug 2026.
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.
A governance position is published without a mechanism, a testing regime or anything a buyer could audit, which is C. What exists is a set of stated commitments rather than a program: a closed AI architecture contrasted with public tools, a zero data training policy stated repeatedly and unconditionally, encryption and role-based access as design principles, and a compliance wall that names NIST 800-171 and the Cloud Security Alliance alongside the security standards. Those are real positions and they keep the row off the floor. None of what the higher bands require appears. No AI governance or responsible AI page exists, no AI-specific framework is named and no certification against one is claimed, nobody inside the company is identified as accountable for AI decisions, nothing describes what is evaluated before a model or feature ships, and no testing or red-teaming regime is set out. Bias is addressed nowhere, and the gap is worth naming on this product rather than passing over: the platform reads medical records to identify deviations from the standard of care and to build damages narratives, and nothing published considers whether that analysis performs evenly across patient populations, care settings or record quality. Verified 12 September 2026.
Nothing published about how the models are governed, evaluated or monitored. No AI policy, no model card, no bias or fairness testing, no evaluation methodology or result, no accuracy monitoring, no drift statement, no named governance body and no ISO 42001. The category risk flagged on EvenUp and Supio applies here with an additional dimension: this product performs case evaluation and identifies missed case value, so it makes judgments about what a claim is worth, and it does so inside an agent architecture that advances cases proactively. A systematic tendency in valuation would propagate through 200,000 cases annually without an attorney necessarily prompting the judgment that produced it. The Auditor agent checks output within the system and is not an independent evaluation of the models. Checked the home page, the working with Eve page, the press coverage and the site navigation on 29 Aug 2026.
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.
Protection is documented and the lifecycle is not, which is C. The protection half is specific and published: AES-256 encryption at rest and TLS 1.2 or later in transit, role-based access controls and permissions, a need-to-know rule backed by contractual non-disclosure agreements, audit logging, encrypted backups, continuous monitoring, and a closed private-cloud environment. For a platform holding protected health information that is a real and legible security posture, and the vendor sets it out as such rather than asserting enterprise-grade security and stopping. The other half of the axis is absent from every readable surface. No retention period is stated for case files, prompts or generated documents; no deletion right or export-on-termination commitment is published; no subprocessor list exists anywhere and no processor is named; and no breach or incident notification commitment was located. The eighteen-page Data Privacy and Security Policy is published as an ungated PDF and is exactly the document that would carry all four, and this index's fetcher would not open it on the date shown. That is a reader limit rather than a finding about the vendor, and the row would move in either direction on a reading. Verified 12 September 2026.
A genuine stewardship position, disclosed with a qualifier the vendor did not have to admit. Stated: case data is encrypted with AES-256 end to end, never used to train shared models, and kept strictly isolated to the firm at organization, user and workflow levels. Separately and openly stated: the system learns a firm's tone, preferred language and style and adapts further with use. Those two statements are consistent and together describe a specific architecture, being firm scoped adaptation with no cross customer pooling, and disclosing the second alongside the first is more candid than the vendors who state a training commitment and leave the learning behavior unmentioned. Held at B rather than A because the specification stops short: no retention period is published for case content or generated output, no deletion right at matter close is described, nothing states whether firm scoped adaptation can be disabled, and nothing describes what happens to an adapted model when a firm terminates. HIPAA compliance covers protection of the claimant health data rather than its use.
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 on who bears the loss when the system is wrong was located, which is the D band, and the note must be read with the retrieval position stated in full. No warranty, indemnity, liability cap, exclusion, service credit or insurance position appears on any readable surface: not on the home page, not on the security page, not on the practice-area pages, and not in any published FAQ. Nothing addresses what happens if a medical chronology misses a treatment entry, if a demand letter misstates damages, or if a discovery response is wrong, on a product whose outputs go to insurers and into court. The vendor does publish a Master Software Subscription Agreement, dated 5 February 2026 and hosted as an ungated PDF, and that is the document that would ordinarily carry every one of those terms. This index's fetcher would not open it: the direct fetch was refused and R8 step 4 recovered nothing beyond the link itself, the file not being held in the search index. So this grade records what is established as located on the date and is not a finding that no such terms exist. The row would move, potentially several bands, on a reading of that agreement, and it is named here so a future pass knows exactly which document to open first. Verified 12 September 2026.
No published position located. Nothing was found on liability for AI output, warranty, service levels or remedy. The exposure is the largest in this category because the autonomy is: agents that advance cases proactively can act on a matter without an attorney initiating the step, and the product drafts pleadings and discovery responses subject to filing deadlines and certification requirements. A missed deadline, a defective discovery response or an understated case valuation all carry consequences that fall on the firm and ultimately on the injured claimant, and no published vendor position addresses any of them. Checked the home page, the working with Eve page, the press coverage and the site navigation on 29 Aug 2026. Enterprise agreements govern this and are not public.
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.
Real integrations, named and specific to the buyer's stack, short of the depth an implementer could work from. The named connections are the right ones for a plaintiff firm and two of them are checkable against this index: SmartAdvocate, described as a two-way integration, and Litify, both case management systems already indexed here. Storage integration covers the four platforms a firm is likely to hold records in, SharePoint, OneDrive, Google Drive, Dropbox and Box. The vendor's framing is that a firm connects Anytime AI to the systems it already uses rather than migrating, which is consistent with the platform being an intelligence layer rather than a system of record. What holds it off A is that only one integration has its direction stated and none has its contents described. Nothing published sets out which objects sync, whether documents are pulled or pushed, whether generated work product returns to the case management system, what a firm must configure, or what permissions the connector requires. No API, developer documentation, connector catalog or integration page was located, and no authentication method is described. Verified 12 September 2026.
Nothing located, and this grade carries the weakest research basis on the record. No case management system integration, no document management connector, no records retrieval integration, no research provider and no API documentation were found across the home page, the working with Eve page, the product material, the press coverage of the AI Workforce and EveOS launches and the site navigation checked on 29 Aug 2026. The positioning offers one possible explanation and is not treated as an answer: EveOS is described as an AI native operational platform for the firm, which suggests the product intends to be the operating layer rather than a component that plugs into one, and a system positioned to replace the operational stack has less need to integrate with it. That is inference and is not credited. Recorded as a documented absence across the surfaces actually checked and flagged as the strongest correction candidate on this record. Compare Supio at B, which names Litify, MyCase and CasePeer.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
Cloud delivery is stated with a tenancy posture and no region anywhere, which is C. The deployment side is described more than most: the platform is presented as a closed, private environment contrasted explicitly with 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. That tells a buyer the shape of the delivery, and the closed-environment claim is doing real work in the vendor's own positioning. Residency is absent entirely. No cloud provider is named, no region or data center is identified, no residency option is offered or refused, and nothing distinguishes where medical records are stored from where model inference happens. That last gap matters on this product more than on most: it processes protected health information at volume, and the vendor markets HIPAA compliance without stating where the processing occurs or who operates the infrastructure. No on-premises or single-tenant option is described. The eighteen-page data policy is the document that would carry a processing-location statement, and it could not be opened by this index on the date shown. Verified 12 September 2026.
Nothing located beyond a generic phrase. Secure cloud infrastructure is stated and names no provider, no region and no residency commitment, and no single tenant or dedicated instance option is described. The firm level isolation the vendor does describe is a logical separation claim rather than a deployment or residency statement, and the two should not be conflated: isolated to your firm says nothing about which jurisdiction the data sits in. For a platform holding claimant protected health information at the scale of 200,000 cases annually, residency is a question a firm's own compliance review asks directly. Checked the home page, the working with Eve page, the press coverage and the site navigation on 29 Aug 2026. Compare Supio at B, which states data centers in three named countries.
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.
Badges appear on the site with no scope, no date and no report available, which is C. The security page carries an eight-item wall: SOC 2 Type II, HIPAA, GDPR, FedRAMP, FIPS 140-2, NIST 800-171, CSA and PCI. Not one is accompanied by an auditor, an observation period, a certificate number, a scope statement or a route to obtain a report, and there is no trust center. What lifts this above a pure badge wall is that a substantive artifact exists: an eighteen-page Data Privacy and Security Policy, published ungated as a PDF and referred to by the vendor as such. It could not be opened by this index and is named here rather than credited. Two problems belong on the record rather than in the grade. FedRAMP is an authorization status for cloud services sold to United States federal agencies, not a compliance posture a private vendor holds by assertion, and the badge carries nothing to establish which status is claimed. And ISO 27001 appears in a published vendor FAQ, listed among the standards met, while it is absent from the security page's own wall, so the estate does not agree with itself about what is held. Verified 12 September 2026.
Named certifications with an annual cadence stated, and no route to anything underneath them. Published: SOC 2 Type 2 certification, HIPAA compliance, AES-256 end to end encryption, secure cloud infrastructure, and the statement that policies are vetted annually by independent audits, which addresses currency in a way most records in this category do not. Held at B rather than A on the familiar three absences: no auditing firm is named, no examination period, scope or certificate date is published, and no trust center, security page or self serve documentation request route was located, so under the three tier test the artifact is absent rather than gated. One claim recorded and not credited: the vendor describes itself as the first legal AI to be SOC 2 Type 2 certified. That is a priority superlative rather than a security fact, it is not checkable from any published source, and it says nothing about the current scope or rigour of the examination. Calibration within this category: EvenUp reaches A on a Trust Center with a request route and a dated recertification; Eve and Supio both sit at B with claims and no route.
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 vendor refers to its own models without identifying anything underneath them, which is C. The only supply-chain language located is possessive and unexplained: data is never used to train our models, the platform is a closed private environment unlike public AI tools, and hallucination is managed by combining information extraction with retrieval-augmented generation. Those describe an architecture and a technique. No model is named, no version is given, no third-party provider is identified, no hosting arrangement for inference is stated, and nothing commits to notifying a customer if any of it changes. There is no subprocessor list on any surface. The closed-environment framing is the interesting part and cuts both ways: it is offered as the reason a firm can trust the platform with privileged material, and it is offered without any statement of whose models sit inside the closed environment, so the buyer is asked to accept the boundary without being told what is behind it. On a product that sends medical records and case strategy to a model, that is the disclosure a firm's own client would most likely ask about. Verified 12 September 2026.
Nothing located. 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 was found. The commitment that case data is never used to train shared models establishes that a distinction between shared and firm scoped models exists in the architecture without identifying what either is built on. For a platform processing protected health information across 200,000 cases annually, the identity of every processor in the chain is a question a firm's HIPAA business associate diligence asks directly and it cannot be answered from public material. Checked the home page, the working with Eve page, the press coverage of both 2026 launches and the site navigation on 29 Aug 2026.
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 information is published at any level, including the unit of charge, which is the D band. There is no pricing page in the navigation and none was located anywhere on the estate. No plan or tier name, no rate, no band, no minimum, no term, and no statement of whether the platform is licensed per seat, per firm, per matter or per page of records processed. The only commercial route published is a demonstration booking, and the sole contact channel is a sales address and a telephone number. Under R10's closing discipline a page that only invites a sales conversation is an absence and belongs in this note alone, so no VendorPricing row is written for this record. One document is named rather than credited, because it is the obvious route by which this row would move: a Fulfillment Policy is published as an ungated PDF and linked in the site footer, and a fulfillment policy commonly carries billing cadence, refund and cancellation terms, any of which would lift this axis off the floor and,, make a pricing row owed. This index's fetcher would not open it on the date shown. Verified 12 September 2026.
No pricing published at any level. No price, no range, no unit of charge, and no indication of whether the model is per seat, per case, per matter or per firm, which matters because the product is positioned as an operational platform rather than a per document tool and the pricing unit would signal which. Independent material notes that the target segment is small to medium plaintiff firms without any published attorney count, revenue band or case volume threshold defining it, so a firm cannot self assess fit either. The contingency fee point recorded on EvenUp and Supio applies equally: case costs are advanced against a claimant's recovery, so undisclosed pricing is undisclosed cost to an injured person. Checked the home page, the pricing navigation, the working with Eve page and independent review material on 29 Aug 2026.
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.
Coverage is described with real substance and the boundaries are left open, which is B. The segment is stated with unusual precision and consistency: plaintiff firms only, and specifically those handling larger and more complex matters, with the vendor separately stating that it serves plaintiff firms of every size from solo through large. Practice coverage is enumerated across five pages of its own, personal injury, nursing home litigation, medical malpractice, trucking accident litigation and traumatic brain injury, and the depth behind each is evidenced in the customers' own vocabulary rather than asserted, with named attorneys describing medication and treatment administration records, activities of daily living and nursing home flow sheets. The vendor's association partnerships across eight state trial-lawyer bodies corroborate the segment even though they are not deployment evidence. What is left open holds it off A. No jurisdictional limit is stated anywhere, against a claim that liability and statutes can be researched across all fifty states; nothing states which matter types or claim values the platform is not suitable for; and defence-side work is excluded by positioning without ever being addressed as a boundary. Verified 12 September 2026.
Lifecycle coverage is the broadest in this category and the practice boundary is stated honestly. Coverage runs intake through resolution rather than centering on one document type: intake and case evaluation, medical overviews and chronologies, demand letters, complaints, and both propounding and responding to discovery, which is wider than either competitor built so far and includes the litigation phase rather than stopping at the demand. Practice areas named are personal injury as the primary vertical with medical malpractice, employment and general litigation, and independent review confirms no evidence of family, criminal, intellectual property or transactional work, so the scope claim holds. Held at B rather than A because the firm segment is asserted without definition, with independent material noting that the small to medium target is stated with no attorney count, revenue band or case volume threshold, and because nothing characterizes depth: no record types or formats handled, no jurisdictional scope for the drafting, and no indication of whether discovery coverage extends across 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 states plainly that customer content is not used for training, and no matching term could be read in the published agreement. The policy claim is unconditional and repeated across three surfaces: a home-page block headed Zero Data Training; an FAQ answer stating that case files, medical records and legal work product are never used to train any AI models; and a security page stating that data is never used for training, ever.
A further FAQ adds that the vendor does not use or share data for model training and that staff operate under a need-to-know rule backed by contractual non-disclosure agreements. R43(1) was run rather than assumed: the vendor publishes a Master Software Subscription Agreement dated 5 February 2026 as an ungated PDF, and it was sought. This index's fetcher would not open it, the direct fetch being refused and the file not held in any search index, so the position is a reader limit rather than a vendor absence.
That matters to the value because the index's rule makes three outcomes available on a reading. If the agreement permits de-identified or aggregated use with no stated bound, the value is contractual-permitted; if it permits and bounds that use, it is purpose-limited; the value written here holds only while the agreement's data clause remains unread, and a conflict between it and the marketing claim would be the finding.
Policy never for shared models, with firm scoped learning disclosed rather than hidden, which is the most fully specified position on this signal in the pull. READ THE QUALIFIER, then read what the vendor volunteers next to it. The quoted commitment is scoped to shared models, and the same page separately states that Eve learns a firm's tone, preferred language and style and adapts further with use. Those two statements are consistent and together describe firm scoped adaptation with no cross customer pooling, which is a real architecture rather than a hedge.
What separates this from the LinkSquares pattern is candour: LinkSquares scoped its never to third party and public models and said nothing about its own, while Eve scopes its never to shared models and then openly describes the learning that happens inside the firm boundary. Isolation is specified at organization, user and workflow levels. Held short of a stronger value because it is policy rather than contract, no opt out from firm scoped adaptation is described, no retention period is published, and nothing states 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?
No located public material states how long case files, prompts or generated documents are retained. The security estate is otherwise specific, covering AES-256 encryption at rest, TLS 1.2 or later in transit, role-based access controls, audit logging, encrypted backups and continuous monitoring, and it says nothing at all about lifecycle. Nothing addresses a retention period, a deletion right, export on termination, or whether the assistant's prompts and generated chronologies and demand letters are held separately from the underlying records.
The one reference to backups, that they are encrypted, describes protection rather than duration. Two published documents would ordinarily carry the answer and neither could be opened by this index on the date shown: the eighteen-page Data Privacy and Security Policy dated August 2025, and the Master Software Subscription Agreement dated 5 February 2026, both hosted as ungated PDFs and linked in the site footer. That is a limit on this index's reader and not a finding about the vendor.
The question carries more weight here than on most records because the material held is protected health information belonging to the firm's clients rather than to the firm.
Not addressed. No retention period is published for case files, medical records, generated demands, complaints or discovery responses, and nothing indicates whether a firm can require deletion at matter close. Retention has an extra dimension on this record because the vendor states the system adapts to a firm's writing style with use, which implies persistence of something derived from the firm's content beyond the individual matter, and nothing describes what that derived state is, how long it lives, or whether it can be reset. Checked the home page, the working with Eve page, the press coverage and the site navigation on 29 Aug 2026.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own documented permission model that the firm must administer, which is this value. The published elements are consistent across the security estate: role-based access controls and role-based permissions so that only authorized users can view sensitive information, a stated rule that only the firm's own authorized team members can reach its data, a need-to-know policy for vendor personnel backed by contractual non-disclosure agreements, and audit logging over access.
Around that sits an architectural claim that the environment is closed and private and that encryption keys are held by the firm, so that the vendor cannot read case strategy or client information. The alignment burden sits with the buyer, which is what places this value rather than the tier above: nothing enforces an external document management system's access model, and no default configuration is published. What is not addressed is the wall inside the firm.
Nothing published describes segregation between matters, screening of a conflicted user from a specific case file, or how the assistant's reach is bounded when a firm runs adverse or related matters, on a platform whose conflict-sensitive material is medical records belonging to individual claimants.
Claimed and not documented, and it is the most specific claim of its kind in the pull. The vendor states that data is kept strictly isolated to the firm at organization, user and workflow levels, which names three distinct boundaries rather than asserting isolation generically, and workflow level isolation is the one that speaks to matter separation directly. That specificity is why this records as claimed rather than as not addressed.
What is missing is any documentation behind it: no description of how the boundaries are enforced, whether user level isolation means retrieval respects the asking user's permissions, whether a matter can be walled from other users within the same firm, or how the agent architecture interacts with those boundaries when agents advance cases proactively across a caseload. No document management system integration exists to inherit permissions from. Checked the home page, the working with Eve page and the press coverage on 29 Aug 2026.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
No located public material addresses what happens when a third party demands customer data. Nothing on any readable surface refers to subpoenas, warrants, court orders, law enforcement or government requests, and no commitment or reservation about notifying the customer appears. No transparency report exists. The two documents that would ordinarily carry the position are published as ungated PDFs and could not be opened by this index on the date shown: the eighteen-page Data Privacy and Security Policy and the Master Software Subscription Agreement dated 5 February 2026.
That is a limit on this index's reader rather than a finding about the vendor, and this row would move on a reading. The question has particular force on this record. The custodian holds protected health information belonging to injured claimants and their treating providers, gathered for litigation, and a demand served on the platform rather than on the firm would reach material the firm's clients would expect the firm alone to control.
The vendor's architectural claim, that only the firm can decrypt its data, would be the natural place to address it and does not.
Not addressed. No government or law enforcement request clause, no commitment to notify a customer before producing their data, and no transparency report were located. The vendor holds claimant protected health information, unfiled pleadings and discovery work product across more than 450 firms and 200,000 cases annually, so a request served on the vendor rather than on a firm would reach material a firm would otherwise be positioned to resist producing. Checked the home page, the working with Eve page, the press coverage and the site navigation on 29 Aug 2026.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The working corpus is identified precisely and nothing behind it is, which is this value. On the customer's side the vendor is unusually explicit: the assistant does not draw on a general training corpus but on the documents inside the matter, itemized as medical records, deposition transcripts, discovery responses, photographs and police reports, and the platform is described as a closed system answering only from those files.
That is a clear statement of where an answer comes from and it is the reason the accuracy claims on this record hold up as well as they do. What is not identified is everything else. The platform also offers legal research, described as finding relevant case law, statutes and legal arguments and elsewhere as researching liability and statutes across all fifty states, and no source, database, publisher or licensing arrangement is named for any of it, nor any coverage table or update cadence.
Nothing states what the underlying models were trained on, and no model or provider is named anywhere. So a buyer is told what the product reads from its own file and nothing about what it knows before it opens one.
Not addressed, and largely inapplicable in the usual sense with one live residue. The platform operates on the firm's own case files, medical records and documents rather than on a published law corpus, so there is no external legal source to name, license or date. The residue is what the underlying models were built on. The product drafts complaints and discovery responses, which requires familiarity with pleading conventions and procedural rules, and it performs case evaluation, which implies exposure to outcome data, and nothing published states what corpus supports either.
Unlike EvenUp, no settlement or verdict repository is named as a distinct asset, so the basis for case value identification is unstated as well as unsourced. Checked the home page, the working with Eve page, the product material and the press coverage on 29 Aug 2026.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history. The product does publish a legal research capability, described as finding relevant case law, statutes and legal arguments with AI that understands the context of a specific matter, and elsewhere as researching liability and statutes across all fifty states in minutes. Nothing published says where those authorities come from or whether their current status is checked.
No citator relationship is named, no treatment taxonomy is described, and nothing states that the platform reports whether a decision has been reversed, vacated, overruled or superseded. The gap sits oddly against the rest of the record, because this vendor has thought carefully about grounding and states as a rule that every response ties back to a cited source in the case file. That rule is about the customer's own documents; it does not reach the currency of external authority, and the vendor's own comparison material notes that a competing plaintiff platform builds treatment status into its research while making no equivalent claim for itself. Product pages, the security estate and the published FAQs were read on the date shown.
Not addressed, and applicable rather than a scope fact. The product drafts complaints and discovery responses, which cite legal authority and are filed with courts, so a currency question genuinely arises and the stakes are higher than for the demand only products in this category since the output reaches a docket. Nothing published names a citator, a research provider or any treatment checking step, and unlike EvenUp and Supio no Thomson Reuters or Westlaw integration was located, so it is not clear from public material what source supports legal citation in generated pleadings at all.
Third record in this category where this signal is live and the third to leave it unanswered. Checked the home page, the working with Eve page, the product material and the press coverage on 29 Aug 2026.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The vendor describes abstention behavior in public material, which is this value, and does so in operational terms rather than as a slogan. The worked example is specific: asked what an orthopaedist said about a client's range of motion at a six-month follow-up, the assistant locates the note in the relevant record and reports what is there, and if the note does not exist it says so instead of inventing something that fits.
The vendor states the design rule behind it as no citation, no answer, with every response tied to a cited source in the case file, and describes the system as closed, answering only from documents inside a specific matter. Together those describe what the product does at the edge of its grounding, which is what this signal asks and what most records in this corpus leave unstated. What is not present, and is the distance to the top value, is any demonstration.
No evaluation, benchmark, error rate or published example set shows the behavior holding, no confidence or grounding score is exposed to the reviewer, and nothing describes what a user sees when an answer is declined.
Not addressed, with one architectural component that gets close and stops short. The vendor states that Eve proactively validates its responses and enables one click verification, and the January 2026 AI Workforce release names an Auditor agent as one of three coordinated roles. Both describe checking rather than uncertainty behavior: nothing states 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.
For an architecture where agents advance cases proactively without attorney prompting, the behavior under uncertainty is the load bearing question, because an unprompted action taken on a weak inference is the failure mode a lawyer would never see coming. Checked the home page, the working with Eve page and the press coverage of both 2026 launches on 29 Aug 2026.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
Searched on 12 September 2026, on the product name with a plaintiff-litigation qualifier and on the corporate name, against published trackers of decisions on AI-generated fabricated citations including coverage of the Damien Charlotin AI Hallucination Cases database and two independent sanctions trackers, for any court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product.
None located. This is a statement about the public record on that one subject as of the date shown, and this signal records fabricated citations and nothing else, so it is not a litigation history. A note for a future reader: the vendor's name is close to ordinary English and a bare search returns the general sanctions literature rather than anything about this product, so every query needs a plaintiff or corporate qualifier to be meaningful.
None located, with the instrument named. General web searches combining the vendor and product names with court, order, sanction, fabricated citation and pleading terms returned nothing on 29 Aug 2026, and no named docket database or court record tracker was searched. Recorded as a statement about what this search found and not as a clearance. The exposure shape is the broadest in this category: this product drafts complaints and discovery responses that are filed with courts under an attorney's signature rather than demand letters sent to insurers, so a defective citation would reach a docket directly and become part of the public record. Flagged as the strongest candidate in this category for a proper docket search on a later pass.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Public materials refer to professional responsibility in general terms without naming any guidance, which is this value. Two references were located and both are unattributed. A home-page block headed Compliance Ready states that the platform lets a firm meet bar ethics on confidentiality and third-party data sharing and use AI without exposure. And a published blog page notes that federal and state courts have sanctioned attorneys for filing briefs containing AI-fabricated citations, and that bar associations have issued guidance reminding lawyers that the duty of competence applies to AI tools.
Both engage the right subject matter, confidentiality under the duty to protect client information and competence in the use of technology, and neither names a single opinion, rule or issuing body. ABA Formal Opinion 512 does not appear anywhere on the estate, no state bar guidance is cited, and no rule of professional conduct is identified by number. Nothing maps any capability of the platform onto any specific duty.
The absence is worth recording rather than passing over, because the vendor plainly knows the terrain: it argues its case in the language of bar ethics and stops short of citing any.
Not addressed. No named ethics opinion, no ABA Formal Opinion 512, no state bar guidance and no engagement with professional conduct rules was located. Relevance is at its highest in this category: the product drafts pleadings and discovery responses filed under an attorney's certification and operates an agent architecture that advances cases without prompting, which engages competence, supervision and candour duties simultaneously.
Checked the home page, the working with Eve page, the product material, the press coverage and the site navigation on 29 Aug 2026.
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, on a product sold inside a lawyer-client fee relationship. The savings claims are the commercial case: a named attorney describing eighty percent of the time freed on some of his tasks, projects that took days or weeks handled in hours, firms taking on more cases without adding headcount, and medical record review and drafting compressed from hours to minutes.
Nothing published addresses what any of that does to what a client pays, whether AI-assisted work is identified anywhere, or whether a client is told the tool was used. One feature of this buyer complicates the reading and is recorded rather than resolved. Plaintiff firms commonly work on contingency, so time saved falls to the firm rather than reducing an hourly bill; but medical record review and chronology preparation are also routinely charged to the client as case costs deducted from recovery, which is the disbursement-shaped question already parked from the Verbit build.
Either way there is a fee relationship and a saving, and nothing published connects them. No cost pass-through statement was located, and no pricing is published at all.
Savings claims only, and the published figures reach further than throughput. Reported: intake conversion rising from 10 percent to 35 percent and intake process time falling by 50 minutes per call at a named firm, case capacity increasing up to 2.5 times without added staff, and average case value increasing 90 percent. The last of those is a claim about client recovery rather than firm efficiency, which is unusual and consequential, and it carries no methodology, baseline or comparison group.
Nothing appears on the client's side of the equation: no position on whether platform cost is a case expense or firm overhead in contingency work, no disclosure guidance, and no record a firm could produce showing what portion of a demand, complaint or discovery response was machine generated. Checked the home page, the working with Eve page and independent review material on 29 Aug 2026.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client-side disclosure obligation, and the three artifacts this signal looks for are absent from every readable surface. There is no subprocessor list anywhere. No model provider is named, so a firm asked which third party processes its client's medical records could not answer from anything published; the vendor's closed-environment framing describes a boundary without naming what sits inside it.
No forwardable client-facing disclosure pack, consent template or notification material was located, and no data processing addendum appears. The certifications wall names eight standards without a scope statement, a date or a route to a report, so it cannot serve the purpose either. The value is not on-request, because nothing indicates such material sits behind a sales conversation: no security contact, trust center or request mechanism is published.
Two documents would change the position and could not be opened by this index on the date shown, the eighteen-page Data Privacy and Security Policy and the Master Software Subscription Agreement; that limit is recorded rather than held against the vendor, and this row would move on a reading of either.
Not addressed. Certifications are claimed, being SOC 2 Type 2 and HIPAA, alongside AES-256 encryption and annually audited policies, which gives a firm citable content for a client questionnaire. No route to anything underneath was located: no trust center, no security page, no request path for the SOC 2 report, no subprocessor list, no named model provider and no business associate agreement material. A firm could repeat the claims and could not evidence them or answer which third parties process claimant health data.
Recorded as not addressed on the same basis as Supio, and the distinction from EvenUp at on request remains the existence of a request route rather than the strength of the claims. Checked the home page, the working with Eve page and the site navigation on 29 Aug 2026.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Several elements of a record exist and no disclosure-shaped export is described, which is this value. The elements are real and better than most. Every response is stated to tie back to a specific source in the case file, chronologies are produced in timeline format with citations, and the vendor states its rule as no citation, no answer, so the provenance of an assertion is visible at the point of use. The output is portable: timelines are described as exportable for use in memos and trial exhibits and as exportable for sharing or trial use, and medical chronologies are positioned as the foundation for expert reports, deposition preparation and motions.
So a firm can hand on a sourced chronology. What is missing is the disclosure dimension. Nothing identifies which model produced a passage, and no model is named anywhere in any event; nothing distinguishes machine-generated text from attorney-edited text in an exportable form; no verification record captures who checked what; and no disclosure template, certification form or court-facing guidance was located, despite the vendor writing publicly about courts sanctioning attorneys over AI-generated filings.
Partial record. The source trail is real: all sources for Eve's answers are stated to be referenced with links back to the firm's own documents, with one click verification, so a party can show what a factual assertion rests on and open the underlying record. The two familiar limbs are missing and one of them matters more here than anywhere else in this category. Nothing indicates that output records which model generated it, and no human verification record is captured, so a firm cannot evidence that an attorney reviewed a machine drafted pleading before filing it.
That is the exact question a standing order on AI use in court filings asks, and this is the only product in the category that drafts complaints and discovery responses reaching a docket rather than demand letters reaching an insurer. The Auditor agent performs checking inside the system and no artifact 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.
- AI Liability and Recourse
- Commercial Transparency
- Prompt and Output Retention
- Third Party Request and Subpoena Notice
- Good Law Verification
- Outside Counsel Guideline Readiness
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.
In summary
Anytime AI
Anytime AI, based in White Plains, New York, is an agentic AI platform sold only to plaintiff firms, turning medical records into chronologies and case overviews, flagging treatment gaps and standard of care deviations, drafting demands, discovery responses and motions, and answering questions through its Talk to Teddy assistant. It has pages for personal injury, nursing home, medical malpractice, trucking and brain injury work. The AI Legal Index grades it in the top two bands on six of fifteen capability axes, with an A on AI centrality. It connects to SmartAdvocate and Litify and states a zero data training policy. As of 12 September 2026 the index located no readable liability terms, named model or price.
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, relaunched in January 2026 as an AI Workforce of agents that advance cases proactively. The AI Legal Index grades it in the top two bands on eight of fifteen capability axes, with A grades on AI centrality, operational evidence and privilege. It 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. As of 29 August 2026 the index located no named integration, model provider, price or liability position.
Questions buyers ask
Anytime AI vs Eve: which is better for plaintiff firms?
Eve sits in the top two bands on eight of fifteen AI Legal Index capability axes and Anytime AI on six of fifteen, identical on five. 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.
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. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
How do Anytime AI and Eve handle attorney client privilege?
Both address it directly, which most legal AI vendors do not. 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. Neither publishes a privilege specific attestation. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified 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. It publishes nothing on what an agent may send or file unattended, what triggers Auditor review, or how a firm sets limits. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
What do Anytime AI and Eve both leave unpublished?
A price, a named model and a readable liability position. Neither publishes pricing, neither names the model or provider behind its AI, and neither has published terms on who bears the loss when output is wrong that this index could read. Neither states a data region, and neither checks cited authority for later treatment. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 27, 2026. No vendor pays for placement.
Three readings to weigh. Anytime AI publishes a subscription agreement and a data security policy that this index could not open, so its liability, retention and pricing grades record that limit. Its security page shows badges, including FedRAMP, without scope or reports. Eve's agents act on cases without prompting and it publishes no bounds on that; its outcome figures carry no method. Anytime AI was verified on 12 September 2026 and Eve on 29 August 2026. Neither vendor reviewed this page.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything above comes from public material on the dates shown. How the index grades.