SimplyConvert vs Smith.ai: how they compare in 2026

SimplyConvert profileSmith.ai profile
Last verifiedSeptember 3, 2026

SimplyConvert and Smith.ai answer the same question, which is what happens when a potential client makes contact and nobody at the firm is free, and they answer it in opposite ways. SimplyConvert automates the decision, evaluating against criteria the firm's lawyers write and then retaining qualified clients and rejecting unqualified leads automatically. Smith.ai puts people in the path, running an AI receptionist alongside a live agent network with human involvement purchasable on any plan. Neither record is strong: Smith.ai sits in the top two bands on three of fifteen axes and SimplyConvert on two, with nine axes in the bottom band on both. Smith.ai's two A grades are commercial transparency, where it publishes rates for both lines down to the per call charge, and integration depth, where a completed intake triggers a retainer automatically through named connections to Clio, MyCase and LawPay. SimplyConvert answers with specificity of a different kind, shipping platforms configured to named litigations rather than to practice areas.

At a glance

Category
SimplyConvertIntake & Client Development
Smith.aiIntake & Client Development
Founded
SimplyConvertNot published
Smith.aiNot published
Headquarters
SimplyConvertNot published
Smith.aiNot published
Last verified
SimplyConvertAug 29, 2026
Smith.aiAug 29, 2026

All 15 axes, side by side

The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.

AI Centrality

How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.

SimplyConvert
CC on AI CentralityArtificial intelligence is present but peripheral: a feature layer on a product whose value stands without it.

A criteria based intake engine and case management platform where the automation is rule driven and the AI framing sits on top of it. The Instant Case Evaluator runs on lawyer created case criteria, which is authored qualification logic rather than learned judgement, and the vendor's own description of what makes it work is criteria based conversations rather than adaptive ones. The wider platform is CRM, referral management, drip marketing, call centre integration and litigation specific filing workflow, all deterministic. The vendor does state that AI qualifies cases and instantly notifies lawyers of qualified potential clients, and the Boy Scout TDP Quantifier and the Camp Lejeune claim substantiation work featured on NBC News involve genuine analytical modelling of settlement value and claim evidence, so the bar is cleared. Graded C because removing the models leaves a working criteria engine, CRM and litigation platform, which is what a firm buys. Six of seven records in this category now sit at C on this axis, with Perspective AI the sole A.

Smith.ai
CC on AI CentralityArtificial intelligence is present but peripheral: a feature layer on a product whose value stands without it.

MEMBERSHIP NOTE FIRST, since the brief flagged this name to check the AI bar and described it as substantially a human answering service with AI attached. That description was correct when written and has been overtaken. Smith.ai now sells a distinct AI only product line: an AI Receptionist with a free tier at 25 calls and paid plans from $95 per month, described by the vendor as deeply context aware with an intake agent handling complex, sensitive and conditional intake, and annual Done-for-You AI plans priced separately from the human service. That is a shipped, separately purchasable AI product, not an AI roadmap, so the bar is cleared. The second limb also passes: agents are trained on attorney style intake scripts and the platform integrates natively with Clio, MyCase and LawPay, which are legal specific systems, so this is not horizontal software with no legal product despite the vendor also serving medical and contracting markets. Graded C rather than higher because the company is a human answering service that added AI: independent review describes Smith.ai receptionists as human agents backed by AI tools for data entry and CRM updates, the hybrid remains the flagship for legal intake, and removing the models leaves a working live agent answering service, which is the business the brand is built on.

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.

SimplyConvert
DD on Citation Accuracy and Hallucination DisclosureNothing published on accuracy or grounding for a product that produces legal assertions, or a bare claim that the system does not hallucinate.

Nothing published, and one product makes the omission more serious than elsewhere in this category. The Boy Scout TDP Quantifier is stated to capture the detail of a survivor's account and apply it to maximise settlement value under a trust distribution procedure, which is a quantitative valuation of an abuse claim, and the Camp Lejeune platform substantiates claims for an administrative filing regime. Both produce outputs on which a claimant's recovery depends and both are testable in principle. No accuracy figure, no validation methodology, no error rate, no evaluation and no statement of how a quantifier output is checked were located for either. The vendor states criteria based conversations deliver instant legal guidance, and nothing describes how the guidance is bounded or verified. Checked the home page, the Instant Case Evaluator page, the platform solutions page, the product pages and the site navigation on 29 Aug 2026.

Smith.ai
DD on Citation Accuracy and Hallucination DisclosureNothing published on accuracy or grounding for a product that produces legal assertions, or a bare claim that the system does not hallucinate.

Nothing published, and the axis applies in an unusual form. The product generates no legal citations and performs no research, so the classic grounding question does not arise. What does arise is that an AI receptionist answers callers' questions about a firm and their situation in real time and conducts what the vendor calls complex, sensitive and conditional intake, and the accuracy of what it tells a caller is unaddressed. No accuracy figure, no error rate on intake capture, no evaluation, no statement of grounding against firm supplied information, and no hallucination disclosure were located. The failure mode is a caller told something wrong about a firm's practice areas, availability or their own matter, with no artifact recording it. Checked the home page, the AI Receptionist page, the pricing material and independent review on 29 Aug 2026.

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.

SimplyConvert
DD on Autonomy and Oversight ModelNo oversight structure is published for a system that drafts, advises, or acts on a client matter.

The most autonomous configuration in this category, stated plainly and bounded nowhere. The vendor states that the platform will auto retain qualified clients and auto reject unqualified leads. Auto rejection is the significant half and no other record in this pull states it: on Gideon and Lawmatics the qualification decision routes or deprioritises, and here the system declines the person outright without a human in the path. Auto retention is equally consequential in the other direction, since retaining a client establishes a relationship with professional obligations attaching from that moment. Nothing published describes a threshold, an escalation path, a human review of rejections, an appeal, or what an auto rejected person is told. The counterweight recorded fairly: criteria are lawyer created, so a human authored the rules in advance, and staff conducting manual intakes receive automated real time guidance rather than being replaced. Rule authorship is not oversight of an individual decision. Lowest autonomy grade in the category.

Smith.ai
CC on Autonomy and Oversight ModelAutonomy is claimed and oversight is asserted without a mechanism. Human in the loop appears as a phrase rather than a described control.

A hybrid architecture that answers this axis structurally, with a documented autonomy behaviour the vendor does not disclose. On the credit side: live agent involvement is available as a per call add on on any plan, the AI is stated to be seamlessly integrated with the Live Agent Network, and on hybrid plans human agents answer every call, so a human is available at the point of contact by design rather than by policy, which is the right control for a system speaking to distressed callers in high emotion practice areas. THE UNDISCLOSED BEHAVIOUR: independent review reports a consistent pattern of complaints, concentrated on one review platform, that the AI Receptionist auto escalates calls to live agents without user authorisation, driving up bills unexpectedly. That is the AI making an autonomous handoff decision with a direct financial consequence for the customer, reported by third parties and described nowhere in vendor material. Held at C on that basis: the escalation path exists and works, and the rule governing when the machine invokes it is neither published nor apparently controllable by the customer.

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.

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

National broadcast coverage of the product in use, and named litigations rather than named customers. The strongest element is independent and verifiable: the vendor's AI powered work substantiating Camp Lejeune claims was featured on NBC News, which is national journalism covering the product's application to a specific mass litigation and is checkable without the vendor. Named litigation deployments are themselves evidence of a kind no other record in this category offers, being the Camp Lejeune Water Contamination Litigation and the Boy Scouts of America trust distribution procedure, both real proceedings with public dockets. Published figures are specific: engagement increased over live chat by up to 400 percent, and an audit finding that as many as 75 percent of paid live chat leads were unreachable or had already retained other counsel. Held at B rather than A because no law firm customer is named, no case study with methodology exists, and both published figures carry up to or as many as qualifiers with no sample, baseline or period, the 400 percent engagement claim being the weaker of the two.

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

Named customers with named individuals and published case studies, plus the deepest independent evidence base in this category. Vendor published and attributed: Paulina Quiñones of Maria Jones Law Firm quoted on faster response and screening of prospective clients with a linked case study, and Valentin Reyes of SummitPoint LLC quoted on a 60 percent year over year sales profit increase with a linked case study. Independent evidence is unusually extensive and includes material unfavourable to the vendor, which strengthens rather than weakens it: presence across G2, Trustpilot and Clutch with a directory listing on a named legal technology publication, multiple independent comparison analyses, and a third party study of more than 500 billing patterns concluding that real invoices typically run 20 to 30 percent above base plan price. Held at B rather than A because the published outcome figures carry no methodology, baseline or attribution of causation, a 60 percent sales profit increase in particular being a company result rather than a demonstrated product effect, and because no usage or volume figure for the vendor itself was located.

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.

SimplyConvert
DD on Privilege and Confidentiality PostureNothing published on how client confidences are handled by a product built to ingest them.

Nothing located, and this record holds the most sensitive intake content in the category. The Boy Scout TDP Quantifier is stated to capture every detail of every survivor's story, paired with a Trauma-Informed Client Outreach service, which means the platform ingests detailed accounts of childhood sexual abuse from claimants at first contact. The Camp Lejeune platform holds health and service history. Nothing published addresses confidentiality, encryption, access control, privilege or work product for any of it. Trauma informed outreach is a service design commitment about how survivors are approached and is not a data protection statement, and the record should not read as though it were. Checked the home page, the platform solutions page, the product pages, the Instant Case Evaluator page and the site navigation on 29 Aug 2026.

Smith.ai
DD on Privilege and Confidentiality PostureNothing published on how client confidences are handled by a product built to ingest them.

Nothing located. No confidentiality statement, no encryption reference, no data handling description and no treatment of privilege or prospective client confidences was found. The exposure here is broader than for a chatbot vendor because human agents are in the loop: live receptionists hear callers describe legal problems in real time, including in the high emotion practice areas independent review identifies as this vendor's strength, being personal injury, family law and criminal defence, and nothing published addresses agent confidentiality obligations, training, screening or what an agent may record and retain. Web chat is also answered by live agents. The prospective client confidences question that runs through this category applies with the additional feature that a human third party is the recipient. Checked the home page, the AI Receptionist page, the pricing material, the directory listing and independent review on 29 Aug 2026.

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.

SimplyConvert
DD on UPL and Professional Responsibility PostureNothing published on the advice line for a product that produces legal work, including where it is sold to people who are not lawyers.

Not located, and the vendor's own language states the exposure more directly than any other record in this category. The platform is described as delivering instant legal guidance through criteria based conversations, and separately as auto retaining qualified clients. Providing legal guidance to a member of the public and forming an attorney client relationship are both acts with professional consequences, and the vendor describes its system doing both without a lawyer in the interaction. Nothing published states that the guidance is not legal advice, addresses what the chatbot may say when a potential client asks a substantive question, describes who is responsible for an auto retention decision, or engages any bar authority. Distinguished from LawDroid, which markets guidance as a saleable service; here guidance and retention are both automated in the same flow. Checked the home page, the Instant Case Evaluator page, the platform solutions page and the site navigation on 29 Aug 2026.

Smith.ai
DD on UPL and Professional Responsibility PostureNothing published on the advice line for a product that produces legal work, including where it is sold to people who are not lawyers.

Not located. Non lawyer agents and an AI conduct intake conversations with prospective clients, qualifying them against a firm's criteria and, in the AI configuration, handling what the vendor describes as complex, sensitive and conditional intake. Nothing published states that agents or the AI do not give legal advice, describes what they may and may not say when a caller asks a substantive question, or addresses the professional responsibility framework a firm operates under when outsourcing first contact with prospective clients to a third party. The gap is notable given the vendor's own positioning as the dominant name in legal receptionist services and its training of agents on attorney style intake scripts, which shows the legal context is understood without the professional rules being engaged. Checked the home page, the AI Receptionist page, the directory listing and independent review on 29 Aug 2026.

AI Governance and Bias Disclosure

Published governance over model behaviour: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.

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

Nothing published, and this is the sixth of seven records in the category assessing prospective clients with no fairness evaluation. Two systems here make the untested risk concrete rather than structural. Auto rejection means the qualification model determines which injured people are turned away from a firm entirely, and nothing indicates whether rejection rates have been examined across any population. The Boy Scout TDP Quantifier assigns value to an abuse survivor's account under a trust distribution procedure, so a model is scoring the compensable weight of a person's trauma, and no bias testing, validation methodology, evaluation, model card, governance body, AI policy, ISO 42001 or EU AI Act positioning was located for it or for anything else on the platform. The vendor states the quantifier was developed with sex abuse trauma specialists, which is subject matter expertise in its construction and is not an evaluation of its output.

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

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, no accuracy monitoring, no drift statement, no named governance body, no ISO 42001 and no EU AI Act positioning were located. Two specific risks are untested. The AI performs lead qualification against firm criteria, so it decides which callers are worth the firm's attention, and the same concern recorded on Gideon applies: the people assessed are consumers seeking help who are never told a machine assessed them. Separately, the service is bilingual in English and Spanish and speech systems are known to perform unevenly across accents and languages, and nothing published indicates that recognition or qualification performance has been examined across the caller populations the product serves. Checked the home page, the AI Receptionist page and independent review 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.

SimplyConvert
DD on AI Safety and Data StewardshipNothing published on retention, deletion or access for a system that holds client documents.

No stewardship position located. Nothing states whether intake conversations, survivor accounts, health and service records, claim form data or qualification outcomes are used to train or improve models, no retention period is published, and no deletion right is described. The vendor states that it securely maintains data for real time analysis, which is an assurance naming no mechanism and describing an analytical use of the data rather than a limit on it. The content at stake is the most sensitive in this category and among the most sensitive on the index: accounts of childhood sexual abuse, military service and health histories, and claim documentation for administrative filing. Nothing published addresses any of it. Checked the home page, the platform solutions page, the product pages and the site navigation on 29 Aug 2026.

Smith.ai
DD on AI Safety and Data StewardshipNothing published on retention, deletion or access for a system that holds client documents.

No stewardship position located. Nothing states whether call recordings, transcripts, chat conversations or captured intake data are used to train or improve models, no retention period is published, and no deletion right is described. Voice makes this materially weightier than for the text based products in this category: a call is recorded or transcribed to be actioned at all, the vendor's own home page offers playable real call recordings by industry as a demonstration, which establishes that recordings are retained and repurposed for marketing, and nothing published states on what basis, with whose consent, or whether customer calls could be used the same way. Recording consent is itself regulated differently across states. Checked the home page, the AI Receptionist page, the pricing material and independent review on 29 Aug 2026.

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.

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

No published position located on liability for AI output, warranty, service levels or remedy, and the exposure here is the sharpest in the category because the system makes terminal decisions. An auto rejected potential client is turned away without a human review, and in mass tort litigation with filing deadlines and trust distribution procedures with claim windows, a wrongly rejected claimant may lose the claim entirely rather than simply going to another firm. Nothing published addresses who carries that. A quantifier output that undervalues a survivor's claim produces a lower settlement with no described correction path. And auto retention creates a client relationship by machine, with no published statement of what happens when it retains someone the firm should not have taken. Checked the home page, the Instant Case Evaluator page, the platform solutions page and the site navigation on 29 Aug 2026.

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

No published position located on liability for AI output, warranty, service levels or remedy, and this is the record where a concrete financial consequence is documented by third parties rather than hypothesised. Independent review reports consistent complaints that the AI auto escalates calls to live agents without authorisation, and a separate analysis of more than 500 billing patterns concludes that real invoices run 20 to 30 percent above base plan price. Together those describe a system whose autonomous decisions increase what the customer pays, with no published rule governing the decision and no stated recourse. Beyond billing, the ordinary exposures apply and are unaddressed: a missed or mishandled call from a prospective client, or a wrongly disqualified caller. A 14 day money back period is published for the virtual receptionist service, which is a return policy rather than a liability position. Checked the home page, the pricing material, the directory listing and independent review on 29 Aug 2026.

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.

SimplyConvert
CC on Practice Systems Integration DepthIntegrations are listed as logos or marked as coming, with no documentation an implementer could use.

One integration category is named and no system is. The vendor states call centre integration, live chat replacement and contact form replacement, which describe how the platform displaces or connects to intake channels, and the product is itself a CRM and case management system through to filing, so the integration burden is structurally lower than for a point solution that must hand off. That is the same architecture argument credited on Gideon. What is absent is every specific: no case management system is named, no Filevine, Litify, SmartAdvocate or CASEpeer connector, which is notable because those are the platforms mass tort firms run and this vendor is built for mass tort, and no API or export documentation was located. A firm running an existing case management system cannot tell from public material whether SimplyConvert connects to it or replaces it. Checked the platform solutions page, the home page, the product pages and the site navigation on 29 Aug 2026.

Smith.ai
AA on Practice Systems Integration DepthDocumented, verifiable integrations into the systems legal work already lives in, with the depth described: what syncs, in which direction, and what a firm must configure.

THE STRONGEST INTEGRATION POSITION IN THIS CATEGORY AND AMONG THE BEST ON THE INDEX. Named legal specific integrations: Clio, MyCase and LawPay, covering practice management, case management and legal payments, plus Salesforce and Calendly, with Zapier extending further and a stated total exceeding 7,000 integrations, corroborated at more than 1,000 by an independent legal technology directory. Conversations are stated to sync to customer systems in real time rather than in batch. The capability that lifts this to A is the completed workflow rather than the connector count: retainers can be sent automatically once a receptionist completes intake, which carries a prospective client from first contact through qualification to engagement paperwork without a human touching the handoff, and independent review confirms the Clio integration as plug and play with no technical setup required. That a competitor's comparison material cites Clio dependent workflow as a reason to choose this vendor is external confirmation the integration works. Held short of perfection because no API documentation was located and the 7,000 figure is unenumerated.

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.

SimplyConvert
DD on Deployment Model and Data ResidencyNothing published on where the software runs or where client data sits.

Nothing located. No hosting provider is named, no region or data residency commitment is published, and no deployment options are described. The vendor states that it securely maintains data, which addresses neither location nor tenancy. The gap matters here in a specific way: the Camp Lejeune platform performs administrative filing for a federal claims process and holds military service and health records, and nothing states where that material is processed or stored. Checked the home page, the platform solutions page, the Camp Lejeune material and the site navigation on 29 Aug 2026.

Smith.ai
DD on Deployment Model and Data ResidencyNothing published on where the software runs or where client data sits.

Nothing located. No hosting provider is named, no region or data residency commitment is published, and no deployment options are described. The question is sharper than for a software only vendor because this service holds voice recordings and transcripts of calls from members of the public, and because a live agent network implies human agents located somewhere, which is itself a data location question that nothing published addresses: a firm cannot determine from public material which jurisdiction its callers' conversations are heard and stored in. Checked the home page, the AI Receptionist page, the pricing material and the site navigation on 29 Aug 2026.

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.

SimplyConvert
DD on Security Certifications and Trust CenterNo independent security attestation located.

No certification, attestation, trust centre or security page was located. No SOC 2 of either type, no ISO 27001, no HIPAA statement, no business associate agreement offer, no named auditor, no penetration testing partner and no encryption statement were found. The only located security language is that the platform securely maintains data for real time analysis, which names no standard and cannot be verified. Under the three tier test the artifact is absent rather than gated. The HIPAA omission is specifically notable: the Camp Lejeune platform handles health and service records for a claims process, which is the same category of material that led every plaintiff category vendor on this index to publish at least one credential, and this vendor publishes none. SEVEN of seven records in legal-intake-and-client-development sit at D on this axis. The category is complete and the pattern is unbroken.

Smith.ai
DD on Security Certifications and Trust CenterNo independent security attestation located.

No certification, attestation, trust centre or security page was located. No SOC 2 of either type, no ISO 27001, no named auditor, no penetration testing partner and no encryption statement were found across the pages read. Under the three tier test the artifact is absent rather than gated. Three records in legal-intake-and-client-development now sit at D on this axis, LawDroid, Gideon and this one, and the pattern is worth watching against the remaining four rather than concluding from three. The gap is material here because the vendor holds call recordings and transcripts on behalf of law firms whose own obligations attach to that material, and because a service handling consumer voice data at this scale would ordinarily be asked for an attestation in procurement. Checked the home page, the AI Receptionist page, the pricing material, the directory listing and the site navigation on 29 Aug 2026.

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.

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

Nothing located. No foundation model provider, model family or version is named, no distinction is drawn between proprietary and third party models, and no subprocessor list was found. The vendor names its development team composition, being lawyers, sex abuse trauma specialists and award winning legal technology developers, which describes who built the products and identifies nothing in the processing chain. Email marketing automation and call centre integration both imply third party service providers and neither is named. For a platform holding survivor accounts and health records, the identity of every processor is a question a firm's own diligence would ask and none can be answered from public material. Checked the home page, the platform solutions page, the product pages and the site navigation on 29 Aug 2026.

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

Nothing located. No foundation model provider, speech recognition provider, model family or version is named, and no subprocessor list was found. The gap is broader here than for text based peers because a voice product necessarily involves speech to text, text to speech and language model components, each of which is commonly supplied by a third party, and none is identified, so a firm cannot determine which parties process recordings of its prospective clients' calls. The vendor describes the AI as deeply context aware and connected to key systems, which characterises capability rather than provenance. Checked the home page, the AI Receptionist page, the pricing material and independent review 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.

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

No pricing published at any level. No price, no range, no tier structure and no unit of charge, and no indication of whether the platform prices per firm, per seat, per qualified lead, per litigation or per claim, which for a product spanning a chatbot, a CRM, referral management and litigation specific filing platforms are materially different models. No independent reconstruction was located either. The absence has a category specific edge: the vendor's own published argument against live chat is a cost argument, that firms found the real cost of live chat unquantifiable and that up to 75 percent of paid leads were wasted, and it makes that argument without disclosing its own cost, so a buyer cannot perform the comparison the vendor invites. Checked the home page, the platform solutions page, the pricing navigation and the site navigation on 29 Aug 2026.

Smith.ai
AA on Commercial TransparencyA buyer can learn what this costs without entering a sales process: published rates, the unit being charged, and what implementation adds.

The most detailed published pricing in the pull, across two product lines and multiple tiers, with the unit of charge stated throughout. Published: an AI Receptionist free tier at $0 per month for 25 calls then $3.00 per call, AI Receptionist plans from $95 per month with per call rates within tier and a stated overage rate, hybrid Virtual Receptionist from $292.50 per month for 30 calls with published per call pricing after the monthly minimum, and annual price locked Done-for-You AI plans at $500, $1,000 and $2,000 per month explicitly with no overage charges. Terms are published too: month to month with no contract on self serve plans, a 14 day money back period, and per call rather than per minute billing, which independent review notes favours firms with longer intake conversations. A prospective buyer can model their own cost from published material. Graded A on that basis. The note records the real qualifier: independent analysis of more than 500 billing patterns concludes invoices typically run 20 to 30 percent above base plan price, so published rates and realised cost diverge. That divergence arises from usage and from the auto escalation behaviour graded on Autonomy rather than from concealed rates, which is why it does not reduce this grade, and a buyer should read the two notes together.

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.

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

The most specifically characterised coverage in this category, stated at the level of named litigations rather than practice areas. Practice coverage is personal injury and mass tort, with the vendor built by a mass tort lawyer for mass tort lawyers and Mass Torts 360 as a dedicated product line. What distinguishes this record is litigation level specificity: a purpose built Camp Lejeune Water Contamination Litigation platform covering intake, data management and administrative filing customised to that proceeding, and a Boy Scout trust distribution procedure quantifier built for that settlement's claim structure. Naming individual litigations and shipping product configured to their specific claim procedures is a coverage claim a firm can verify directly against its own docket, and no other record in this category or in plaintiff-and-claims does it. Held at B rather than A because no jurisdiction is stated, no firm size is characterised, and nothing indicates how quickly new litigations are supported or how many are covered beyond the two named, which is the question a mass tort firm would ask next.

Smith.ai
CC on Firm and Practice CoverageCoverage is claimed broadly, for all firms or all practice areas, without evidence that the breadth is real.

Channel and market coverage are broad and legal practice coverage is not characterised. Channel coverage is the most complete in this category: 24/7 inbound calls, web chat answered by live agents, outbound calling on higher plans for sales follow up and appointment confirmation, and CRM side intake routing, with emergency keyword routing and spam blocking, delivered fully bilingually in English and Spanish. Bilingual delivery is a real access dimension no other record in this category states. Market coverage extends well beyond law into medical, contracting and other professional services, with the vendor's own home page demonstrating an industry scenario outside legal and one independent reviewer observing that the product now prices itself for contractors rather than law firms. Within legal, independent review identifies strength in high emotion intake including personal injury, family law and criminal defence, and firm suitability at 30 to 150 calls per month. Held at C because none of that legal characterisation comes from the vendor, no practice areas or jurisdictions are named in vendor material, and the horizontal breadth means the legal offering is a configuration rather than a described scope.

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?

SimplyConvert
Terms silent

Silent. The quoted phrase is the vendor's fullest data statement and it commits to security while describing an analytical use of the data rather than a limit on it, which is the opposite of what this signal asks. No statement in either direction was located on whether intake conversations, survivor accounts, health and service records, claim form data or qualification outcomes are used to train or improve models. The content is the most sensitive in this category: the Boy Scout TDP Quantifier is stated to capture every detail of every survivor's story, and the Camp Lejeune platform holds health and military service history. The people supplying it are claimants at first contact who are not the customer and cannot consent, object or ask. Recorded as silent, not as a negative commitment. Seventh of seven records in this category at this value, and the pattern is unbroken. Checked the home page, the platform solutions page, the product pages and the site navigation on 29 Aug 2026.

Smith.ai
Terms silent

Silent. The quoted line is the vendor's central architectural claim and it describes who handles a call rather than what happens to the recording of it. No statement in either direction was located on whether call recordings, transcripts, chat conversations or captured intake data are used to train or improve models. One published fact makes the silence concrete rather than theoretical: the vendor's own home page offers playable real call recordings by industry as a product demonstration, which establishes that recordings are retained and repurposed beyond handling the call, and nothing states on what basis, with whose consent, or whether a law firm's own calls could be used the same way. The people recorded are members of the public contacting a law firm, who are not the customer and cannot consent, object or ask. Recorded as silent, not as a negative commitment. Checked the home page, the AI Receptionist page, the pricing material, the directory listing and independent review on 29 Aug 2026.

Prompt and Output Retention

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

SimplyConvert
Not addressed

Not addressed. No retention period is published for intake conversations, survivor accounts, claim documentation or qualification outcomes, and no deletion right is described. Retention is structural to this product beyond the usual CRM case, because the platform performs administrative filing and maintains data through to resolution, so records persist for the life of a litigation and beyond. Nothing states what happens to the record of a potential client who was auto rejected and never became a client, which on this record is a materially larger population than on peers that merely deprioritise. Checked the home page, the platform solutions page, the Instant Case Evaluator page and the site navigation on 29 Aug 2026.

Smith.ai
Not addressed

Not addressed. No retention period is published for call recordings, transcripts, chat logs or captured intake data, and no deletion right is described. Retention is established as a fact by the product itself, since real call recordings are published on the vendor's home page as demonstrations, and conversations are stated to sync into customer systems in real time, which is transmission rather than a statement about what the vendor keeps. Recording retention carries state law implications on consent and on how long voice data may be held, and nothing published engages any of it. Checked the home page, the AI Receptionist page, the pricing material and independent review on 29 Aug 2026.

Ethical Walls and Matter Segregation

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

SimplyConvert
Not addressed

Not addressed, with a referral dimension no other record in this category has. No permission model, access restriction or segregation description was located. Beyond the prospective client conflicts question running through this category, this platform includes referral management: firms keep the cases they want and refer out the ones they do not, tracking communications and fee agreements across parties. That means a potential client's intake information moves between law firms through the vendor's system, and nothing published describes what is transmitted, what consent supports it, or what separates the referring firm's data from the receiving firm's. In mass tort, where firms co counsel and refer at volume, that is the operative segregation question and it is unanswered. Checked the platform solutions page, the home page and the product pages on 29 Aug 2026.

Smith.ai
Not addressed

Not addressed, with a dimension no software only record in this category has. No permission model, access restriction or segregation description was located. Beyond the usual questions, this vendor operates a Live Agent Network, so human agents employed by a third party hear prospective clients describe their legal problems, and nothing published states whether an agent handles calls for competing firms, whether agents are screened or restricted across customers, or what prevents an agent who took an intake call for one party to a dispute from taking one for the other. The prospective client conflicts problem recorded on LawDroid and Gideon applies here as well, and the human agent layer adds a conflict surface that no permission model can address because it lives with people rather than with data. Checked the home page, the AI Receptionist page, the directory listing and independent review 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?

SimplyConvert
Not addressed

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 material held includes accounts of childhood sexual abuse given for trust distribution claims and health and military service records for a federal claims process, and the Camp Lejeune platform performs administrative filing, which puts the vendor in an operational relationship with a government claims regime while holding the underlying claimant records. Nothing published addresses requests from any direction. Checked the home page, the platform solutions page, the Camp Lejeune material and the site navigation on 29 Aug 2026.

Smith.ai
Not addressed

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 material held is unusually sensitive: recordings and transcripts of members of the public describing legal problems to what they believe is a law firm, in practice areas independent review identifies as including criminal defence and family law, where a caller's own account could be adverse to their interests if produced. A request served on the vendor would reach voice recordings the firm itself may never have heard. Checked the home page, the AI Receptionist page, the pricing material 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?

SimplyConvert
Not addressed

Not addressed, and inapplicable in the usual sense with a live residue. The platform has no primary law corpus: qualification runs on lawyer created case criteria, so the substantive content is customer authored. The residue is what the Boy Scout TDP Quantifier was built on. Assigning settlement value under a trust distribution procedure requires a model of how that procedure values claim characteristics, and nothing published states whether it encodes the published TDP matrix directly, was fitted on prior determinations, or draws on claimant data processed through the platform. The vendor states the tool was developed with lawyers and sex abuse trauma specialists, which describes who advised on its construction and not what it was built from. Checked the platform solutions page, the product pages and the home page on 29 Aug 2026.

Smith.ai
Not addressed

Not addressed, and inapplicable in the usual sense with a live residue. The product has no primary law corpus: the AI operates on the firm's own intake script, call handling rules and connected systems, so the substantive content is customer supplied. The residue is what the underlying speech and language models were built on, which is entirely undisclosed, and it matters more for a voice product than for a text one because speech recognition performance is corpus dependent and the service is delivered bilingually in English and Spanish to callers of every accent and speech pattern. Nothing published names a training corpus, a speech provider or any evaluation across caller populations. Checked the home page, the AI Receptionist page and independent review on 29 Aug 2026.

Good Law Verification

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

SimplyConvert
Not addressed

Not addressed, and inapplicable on the facts. SimplyConvert performs intake, qualification, CRM, referral management and administrative filing, and produces no legal research or citation to authority, so there is nothing for a citator to check. Recorded as a scope fact rather than a disclosure failure, consistent with the treatment on Gideon, Smith.ai, Lawmatics, Perspective AI and Intaker in this category. LawDroid remains the only record in this category where the signal is live, because Copilot performs case law research. Checked the platform solutions page and the home page on 29 Aug 2026.

Smith.ai
Not addressed

Not addressed, and inapplicable on the facts. Smith.ai answers calls, qualifies callers against a firm's intake script, books appointments and routes enquiries into a CRM, and produces no legal research or citation to authority, so there is nothing for a citator to check. Recorded as a scope fact rather than a disclosure failure, consistent with the treatment on Gideon in this same category and on Tavrn, DigitalOwl, Legal Tracker and Mitratech elsewhere. Distinguished from LawDroid, where the signal is live because Copilot performs case law research. Checked the home page, the AI Receptionist page and the directory listing on 29 Aug 2026.

Refusal and Uncertainty Behaviour

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

SimplyConvert
Not addressed

Not addressed, and on this record the omission is at its most consequential in the whole category. The system auto rejects unqualified leads, so the uncertain case is not deprioritised or flagged, it is declined. Nothing published states whether a borderline evaluation is escalated to a human rather than rejected, whether a potential client whose answers are incomplete is treated as unqualified, or what an auto rejected person is told and whether they are directed anywhere else. In mass tort litigation with filing deadlines and in trust distribution procedures with claim windows, a wrongly rejected claimant may not get a second attempt. The vendor states the chatbot delivers instant legal guidance, and nothing describes what it does when a question falls outside the criteria it was given. Checked the Instant Case Evaluator page, the platform solutions page and the home page on 29 Aug 2026.

Smith.ai
Not addressed

Not addressed by the vendor, and third party reporting describes the behaviour that fills the gap. Nothing published states what the AI does when it cannot understand a caller, when a question falls outside the firm's script, or when an intake condition is ambiguous. What independent review reports is that the AI Receptionist auto escalates calls to live agents without user authorisation, which is in substance an uncertainty behaviour: the system hands off when it cannot proceed. That is a reasonable design and arguably the right one for a distressed caller, and it is undisclosed, ungoverned by any published rule, and carries a per call cost the customer did not authorise. A behaviour a customer only discovers through their invoice is not a disclosed behaviour. Checked the home page, the AI Receptionist page, the pricing material and independent review on 29 Aug 2026.

Fabricated Citation Record

Does a public court record exist involving output from this product?

SimplyConvert
None located

None located, with the instrument named. General web searches combining the vendor and product names with court, order, sanction and complaint terms returned nothing on 29 Aug 2026, and no named docket database, court record tracker or state consumer protection register was searched. Recorded as a statement about what this search found, not as a clearance. The exposure shape is not fabricated citations, since no legal authority is generated: the analogous adverse findings would arise from an auto rejected claimant losing a claim, a quantifier valuation contested in a trust distribution proceeding, or an administrative filing error in the Camp Lejeune process, and the first two would surface in the dockets of the very litigations this vendor serves, which makes a targeted docket search on a later pass unusually well anchored.

Smith.ai
None located

None located, with the instrument named. General web searches combining the vendor name with court, order, sanction, complaint and consumer protection terms returned nothing on 29 Aug 2026, and no named docket database, court record tracker or state consumer protection register was searched. Recorded as a statement about what this search found, not as a clearance. The exposure shape is not fabricated citations, since no legal authority is generated. The analogous adverse findings would be call recording consent under state wiretapping statutes, or a billing dispute arising from the auto escalation pattern independent review reports, and neither would surface through the search terms a citation focused instrument uses. Flagged for a differently scoped search on a later pass.

Bar Guidance Alignment

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

SimplyConvert
Not addressed

Not addressed, and three separate limbs of this product engage professional rules. Automated drip marketing to potential clients who have not signed falls under advertising and solicitation rules. Referral management with fee agreement tracking engages fee sharing and referral fee rules, which are among the most prescriptive in professional conduct and vary by jurisdiction. And auto retention forms an attorney client relationship by machine, which engages the rules on when representation begins. No named ethics opinion, no ABA Formal Opinion 512, no state bar guidance and no engagement with any of it was located. Seventh of seven records in this category at this value. The category is complete and the pattern is unbroken. Checked the home page, the platform solutions page, the product pages and the site navigation on 29 Aug 2026.

Smith.ai
Not addressed

Not addressed. No named ethics opinion, no ABA Formal Opinion 512, no state bar guidance and no engagement with professional conduct rules was located. The relevance is direct and long standing rather than novel: outsourced legal intake by non lawyers has been the subject of bar guidance for years, covering supervision of non lawyer assistants, confidentiality of prospective client communications and fee sharing, and this vendor is the dominant provider in that market with agents trained on attorney style intake scripts. A vendor that has built its brand on legal intake and engages none of the rules governing it is a more conspicuous omission than the same silence from a general purpose tool. Third of three records in this category at this value. Checked the home page, the AI Receptionist page, the directory listing 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?

SimplyConvert
Savings claims only

Savings claims only, argued as displaced waste rather than time saved. The vendor's published case is that firms audited their live chat spend and found as many as 75 percent of paid leads were individuals who were unreachable or had already hired another lawyer during the delay, and that its own engagement runs up to 400 percent higher. That is a cost of failure argument about the incumbent channel rather than a productivity claim, and it is more specific than most in this category, with no sample, period or source disclosed. Nothing appears on the client's side of the equation: no position on whether an automated intake or an auto retention is disclosed to the potential client as machine driven, and no record showing which portion of an intake or a claim valuation was machine produced, which matters where a quantifier output informs what a survivor is told their claim is worth.

Smith.ai
Savings claims only

Savings claims only, and the cost comparison is unusually concrete. The vendor's published argument is a staffing substitution: it states that an in house nine to five weekday receptionist costs $4,000 or more per month with months to ramp, constant turnover and limited coverage, against published plans starting far below that with 24/7 coverage. Naming the alternative's cost and its non financial drawbacks makes the claim checkable in a way a percentage never is. Customer outcome claims are attributed to named people at named firms and carry no methodology, including a 60 percent year over year sales profit increase. Nothing appears on the client's side of the equation: no position on whether outsourced intake cost is passed to clients or absorbed, no guidance on disclosing to a caller that they are speaking to a third party service or to an AI, and no record showing which portion of an intake was machine handled.

Outside Counsel Guideline Readiness

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

SimplyConvert
Not addressed

Not addressed. No trust centre, security page, named certification, subprocessor list, named model provider, data processing agreement or documentation request route was located, so a firm has nothing to forward and no destination to point a client toward. The gap is at its widest here in the category: a firm asked by a claimant, a co counsel or a court how survivor accounts and health records are protected in this platform could produce nothing but the vendor's own assurance that it securely maintains data. Seventh of seven records in this category at this value. The category is complete and the pattern is unbroken across all seven. Checked the home page, the platform solutions page, the product pages and the site navigation on 29 Aug 2026.

Smith.ai
Not addressed

Not addressed. No trust centre, security page, named certification, subprocessor list, named model or speech provider, data processing agreement or documentation request route was located, so a firm has nothing to forward and no destination to point a client toward. The gap is heavier here than for the software peers in this category because the vendor is not only a processor but a service provider whose human agents handle the firm's client communications, so a client asking who speaks to prospective clients on the firm's behalf, where they are, and how the recordings are held cannot be answered from any public material. Third of three records in this category at this value. Checked the home page, the AI Receptionist page, the pricing material, the directory listing 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?

SimplyConvert
Partial record

Partial record, and this is the only record in the category whose output reaches a formal proceeding. The Camp Lejeune platform performs administrative filing and the Boy Scout TDP Quantifier populates claim forms under a trust distribution procedure, so the product generates documents submitted into claims processes with adjudicators on the other side, unlike the intake-only peers whose output stops at the firm. Real time reporting and tracked communications and fee agreements provide a process record. The familiar two limbs are missing and matter more here for that reason: nothing indicates that a filed claim record identifies which content was machine generated or which model produced a valuation, and no human verification record is captured showing that a lawyer reviewed a quantifier output before it went into a claim form. A claims administrator asking how a valuation was derived would find the platform captures no evidence either way.

Smith.ai
Partial record

Partial record, and the first record in this category with a genuine evidentiary artifact. Call recordings and transcripts exist as a matter of product function, conversations are stated to sync into the firm's CRM in real time, and the vendor's own home page demonstrates that recordings are retained and playable, so a firm can in principle produce what a caller said and what was said back, which is more than Gideon or LawDroid can evidence. The relevant forum in this category is a bar complaint, a fee dispute or a malpractice claim rather than a filing, and a recording is exactly the artifact those proceedings turn on. The gaps are the familiar two plus one specific to the hybrid model: nothing indicates that a record marks which portions of a call were handled by AI and which by a live agent, which is the distinction that would matter if what was said to a prospective client were ever contested, and no export or retention artifact is described as available to the customer on demand.

What neither one publishes

The questions both sides leave open

Derived from the records above rather than written, so it cannot favour either vendor. Take these into both conversations and ask each side the same question.

Axes where neither earns credit
  • Citation Accuracy and Hallucination Disclosure
  • Privilege and Confidentiality Posture
  • UPL and Professional Responsibility Posture
  • AI Governance and Bias Disclosure
  • AI Safety and Data Stewardship
  • AI Liability and Recourse
  • Deployment Model and Data Residency
  • Security Certifications and Trust Center
  • Model Supply Chain Disclosure
Signals neither addresses in public material
  • Prompt and Output Retention
  • Ethical Walls and Matter Segregation
  • Third Party Request and Subpoena Notice
  • Primary Law Corpus Provenance
  • Good Law Verification
  • Refusal and Uncertainty Behaviour
  • Bar Guidance Alignment
  • Outside Counsel Guideline Readiness

Which one fits

Choose SimplyConvert if

  • Your intake is a named litigation rather than a practice area. SimplyConvert ships product configured to specific proceedings: a Camp Lejeune platform covering intake, data management and administrative filing for that claims regime, a Boy Scout trust distribution procedure quantifier built with lawyers and sex abuse trauma specialists, and Mass Torts 360 for mass tort workflow, which is coverage a firm can check directly against its own docket.
  • You need qualification running while the firm sleeps. The Instant Case Evaluator assesses potential cases around the clock against criteria the firm's lawyers write, and staff conducting manual intakes get criteria based scripts with automated real time guidance, with drip campaigns tailored by litigation to hold potential clients who are not ready to sign.
  • You want evidence somebody outside the vendor has looked at. SimplyConvert's claim substantiation work on the Camp Lejeune litigation was featured on NBC News, and the company publishes an audit finding that as many as 75 per cent of paid live chat leads were people who were unreachable or had already retained other counsel by the time the firm made contact.

Choose Smith.ai if

  • You want to model the cost yourself. Smith.ai publishes rates across both product lines: an AI receptionist free tier covering 25 calls then 3 dollars per call, AI plans from 95 dollars a month, hybrid virtual receptionist from 292.50 dollars a month for 30 calls with per call rates after that, and annual price locked plans at 500, 1,000 and 2,000 dollars a month explicitly with no overage, month to month with a 14 day money back period.
  • The captured intake has to land somewhere and turn into an engagement. Smith.ai names Clio, MyCase and LawPay alongside Salesforce and Calendly, states conversations sync to customer systems in real time, and completes the loop by sending a retainer automatically once a receptionist finishes intake, which carries a prospective client from first contact to engagement paperwork without a manual handoff.
  • Your callers are distressed and you want a person available. Smith.ai runs a live agent network alongside its AI, with human agents answering calls on hybrid plans, live agent involvement purchasable as a per call add on on any plan, web chat answered by people rather than a bot, and the whole service delivered in English and Spanish.

In summary

SimplyConvert

SimplyConvert is an end to end legal intake, client relationship management and case management platform for plaintiff and mass tort firms, founded by a mass tort lawyer, built around the Instant Case Evaluator chatbot that assesses potential cases around the clock against lawyer created criteria and then retains qualified clients and rejects unqualified leads automatically, with referral management, drip marketing and litigation specific products alongside. The AI Legal Index grades it in the top two bands on two of fifteen capability axes. Its coverage is stated at the level of named proceedings, including a Camp Lejeune platform and a Boy Scout trust distribution procedure quantifier. As of 29 August 2026 the index located no security attestation, no data handling position, no named model and no published price.

Source: AI Legal Index, 2026

Smith.ai

Smith.ai is an outsourced front office combining AI receptionists with a live human agent network, sold in an AI only line and a hybrid line where human agents answer calls, follow custom handling rules, qualify leads against a firm's intake script and route enquiries into the CRM, delivered around the clock in English and Spanish. The AI Legal Index grades it in the top two bands on three of fifteen capability axes, with A grades on commercial transparency and integration depth: it publishes rates across both product lines down to the per call charge, names Clio, MyCase and LawPay among its integrations, and sends a retainer automatically once intake completes. As of 29 August 2026 the index located no security attestation, no data handling position and no named model provider.

Source: AI Legal Index, 2026

Questions buyers ask

SimplyConvert vs Smith.ai: which is better for intake?

The AI Legal Index places Smith.ai in the top two bands on three of fifteen capability axes and SimplyConvert on two, and nine axes sit in the bottom band on both records. Smith.ai publishes its rates in full and the deepest integration set in this category. SimplyConvert publishes coverage at the level of named litigations rather than practice areas. Neither publishes a security attestation, a data handling position or a liability position.

How much does each cost?

Smith.ai publishes everything: a free AI tier at 25 calls then 3 dollars per call, AI plans from 95 dollars a month, hybrid service from 292.50 dollars a month for 30 calls, and annual plans at 500, 1,000 and 2,000 dollars with no overage, billed per call rather than per minute. On SimplyConvert no price, range, tier or unit of charge was located, so a firm cannot run the cost comparison the vendor's own argument against paid live chat invites. 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 3, 2026. No vendor pays for placement.

Does a person ever get involved?

On Smith.ai, yes by design: human agents answer calls on hybrid plans, live agent involvement can be added per call on any plan, and web chat is answered by people. On SimplyConvert the automation is the point, with the chatbot evaluating against lawyer written criteria and then retaining or rejecting without a person in the path, though staff conducting manual intakes are supported with real time guidance scripts. 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 3, 2026. No vendor pays for placement.

What happens to someone who does not qualify?

SimplyConvert states that the platform auto rejects unqualified leads, and nothing published describes what that person is told, whether a human reviews the decision or whether it can be revisited. Smith.ai qualifies against the firm's intake script with a human available in the path, and publishes nothing about what happens to a caller who does not qualify either. On both records the failure mode is invisible to the firm, because a person turned away rarely comes back to say so. 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 3, 2026. No vendor pays for placement.

What do SimplyConvert and Smith.ai both leave unpublished?

Neither publishes a security attestation, a privacy or data handling position, a retention period or a deletion route, which matters because both hold accounts that members of the public give about their legal problems, and on SimplyConvert those include survivor accounts and health and service records. Neither names a model or a provider. Neither publishes a liability position. And neither publishes an AI governance position or any evaluation of how qualification decisions fall across the people being assessed. 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 3, 2026. No vendor pays for placement.

Disclosure

On SimplyConvert, the platform is stated to auto reject unqualified leads, and nothing published describes a human review, an appeal, or what a rejected person is told, which matters in mass tort work where a filing deadline or a claim window can make that decision final. On Smith.ai, the published rates cover both product lines in detail, and nothing published states what triggers the AI to hand a call to a live agent, so a buyer modelling cost from the per call rates cannot tell how often the more expensive path will be taken. Neither vendor publishes a security attestation, and neither does any of the eight intake and client development point tools the index grades, though the six practice management and client portal platforms in the same category do, Clio among them. Both records were verified 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.

Contact

Correct a record, or ask how something was graded

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

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 61 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
September 2, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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