SimplyConvert vs Smith.ai: how they compare in 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. It evaluates against criteria the firm's lawyers write, then retains qualified clients and rejects 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. Both publish little about security, data handling or liability. Smith.ai's strengths are price and plumbing. It publishes rates for both lines down to the per call charge, and 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
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.
An intake engine and case management platform driven by rules, with AI framing on top. The Instant Case Evaluator runs on criteria written by lawyers, which is authored logic rather than learned judgment, and the vendor describes its conversations as criteria based. The CRM, referral management, drip marketing, call center integration and litigation filing workflow are all rule based. The vendor does say AI qualifies cases and notifies lawyers, and the Boy Scout TDP Quantifier and the Camp Lejeune claim work featured on NBC News involve real analytical modeling of settlement value and claim evidence. Without the models, a working criteria engine, CRM and litigation platform remain, which is what a firm buys.
Smith.ai is a human answering service that has added AI. It now sells a separate AI only line: an AI Receptionist with a free tier for 25 calls and paid plans from $95 per month, described as deeply context aware, with an intake agent for complex, sensitive and conditional intake. Annual Done-for-You AI plans are priced apart from the human service. That is a shipped AI product, not a roadmap. Agents are trained on attorney style intake scripts, and the platform connects natively to Clio, MyCase and LawPay. Independent review describes Smith.ai receptionists as human agents backed by AI tools for data entry and CRM updates, and the hybrid service remains the main offer for legal intake. Removing the models would leave 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.
Nothing published, and one product makes the omission serious. The Boy Scout TDP Quantifier is stated to capture the detail of a survivor's account and apply it to maximize 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 are published for either. The vendor states criteria based conversations deliver instant legal guidance, and nothing describes how the guidance is bounded or verified.
Accuracy of what the receptionist tells callers goes unmeasured. The product makes no legal citations and does no research, so the usual grounding question does not arise. An AI receptionist does answer callers' questions about a firm and their situation in real time, and handles what the vendor calls complex, sensitive and conditional intake, and the accuracy of what it says is not addressed. No accuracy figure, error rate on intake capture, evaluation, statement of grounding in firm supplied information or hallucination disclosure is published. The risk is a caller told something wrong about a firm's practice areas, availability or their own matter, with no record of it.
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.
The setup is highly autonomous, stated plainly and bounded nowhere. The vendor says the platform automatically retains qualified clients and automatically rejects unqualified leads. Automatic rejection turns a person away with no human in the path. Automatic retention matters just as much, since retaining a client creates a relationship with professional duties from that moment. Nothing describes a threshold, escalation path, human review of rejections, appeal, or what a rejected person is told. Lawyers write the criteria in advance, and staff doing manual intakes get real time guidance rather than being replaced, but writing the rules is not oversight of an individual decision.
The hybrid design puts a human within reach, and one automatic behavior goes undisclosed. Live agent help is available per call on any plan, the AI is described as integrated with the Live Agent Network, and on hybrid plans human agents answer every call. A person is therefore available at the point of contact by design, which suits distressed callers in emotionally charged practice areas. Independent review reports a consistent pattern of complaints, concentrated on one review platform, that the AI Receptionist escalates calls to live agents without the customer's approval, raising bills unexpectedly. That is the AI making its own handoff decision with a direct cost to the customer, and vendor material does not describe it. The escalation path exists and works, but the rule for when the system uses it is not published and does not appear to be under the customer's control.
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.
National broadcast coverage of the product in use, and named litigations rather than named customers. The vendor's AI work substantiating Camp Lejeune claims was featured on NBC News, which can be checked independently. The deployments are tied to the Camp Lejeune Water Contamination Litigation and the Boy Scouts of America trust distribution procedure, both real proceedings with public dockets. Published figures: up to 400 percent more engagement than live chat, and an audit finding that up to 75 percent of paid live chat leads were unreachable or had already hired other counsel. No law firm customer is named, no case study with a method exists, and both figures carry up to qualifiers with no sample, baseline or period, the engagement claim being the weaker.
Named customers, named people and published case studies exist, along with substantial independent evidence. Paulina Quiñones of Maria Jones Law Firm is quoted on faster response and screening of prospective clients, and Valentin Reyes of SummitPoint LLC on a 60 percent year over year increase in sales profit, each with a linked case study. Independent evidence includes material unfavorable to the vendor: listings on G2, Trustpilot and Clutch, a directory listing in a named legal technology publication, and several independent comparisons. A study of more than 500 billing patterns found invoices typically 20 to 30 percent above base plan price. The outcome figures carry no method, baseline or attribution, and the 60 percent profit increase is a company result rather than a shown product effect. No usage or volume figure for the vendor itself is published.
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.
Nothing was found, on a platform holding extremely sensitive intake content. The Boy Scout TDP Quantifier is said to capture every detail of every survivor's story, paired with a Trauma-Informed Client Outreach service, so the platform takes in detailed accounts of childhood sexual abuse 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 describes how survivors are approached, not how their data is protected.
Callers' confidences get no published protection: no confidentiality statement, encryption reference, data handling description, or treatment of privilege or prospective client confidences. The exposure is broader because humans are involved. Live receptionists hear callers describe legal problems in real time, including in personal injury, family law and criminal defense, which independent review names as this vendor's strengths. Nothing addresses agents' confidentiality duties, training, screening or what an agent may record and keep. Web chat is also answered by live agents, so a human third party receives prospective client confidences.
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.
Not located, and the vendor's own language states the exposure directly. 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. Guidance and retention are both automated in the same flow.
No position is published. Agents who are not lawyers and an AI hold intake conversations with prospective clients, qualifying them against a firm's criteria and, in the AI version, handling what the vendor calls complex, sensitive and conditional intake. Nothing says agents or the AI do not give legal advice, or describes what they may say when a caller asks a substantive question. Nothing addresses the professional rules a firm works under when it outsources first contact with prospective clients. The vendor trains agents on attorney style intake scripts, which shows it understands the legal context, without engaging the professional rules.
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.
Nothing published, and no fairness evaluation exists for a product that assesses prospective clients. 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 is published 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.
How the models are governed, evaluated or monitored has no published answer. No AI policy, model card, bias or fairness testing, evaluation method, accuracy monitoring, drift statement, named governance body, ISO 42001 or EU AI Act position is published. Two risks are untested. The AI qualifies leads against firm criteria, so it decides which callers deserve the firm's attention, and the people assessed are consumers seeking help who are never told a machine assessed them. The service is also bilingual in English and Spanish, and speech systems are known to perform unevenly across accents and languages. Nothing indicates that recognition or qualification has been examined across the callers the product serves.
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.
No data stewardship position was found. Nothing says 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 says it securely maintains data for real time analysis, which names no mechanism and describes a use of the data rather than a limit. The content is highly sensitive: accounts of childhood sexual abuse, military service and health histories, and claim documents for administrative filing.
No stewardship position is published. Nothing says whether call recordings, transcripts, chat conversations or captured intake data train or improve models, no retention period is published, and no deletion right is described. Voice makes this weightier. A call must be recorded or transcribed to be acted on, and the vendor's home page offers playable real call recordings by industry as a demonstration, which shows recordings are kept and reused for marketing. Nothing says on what basis, with whose consent, or whether customer calls could be used the same way, and recording consent rules differ across states.
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.
No published position located on liability for AI output, warranty, service levels or remedy, and the exposure is sharp because the system makes final 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.
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 hypothesized. Independent review reports consistent complaints that the AI auto escalates calls to live agents without authorization, 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.
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.
One integration category is named, and no system is. The vendor cites call center integration and replacement of live chat and contact forms, which describe how the platform connects to or replaces intake channels, and the product is itself a CRM and case management system through to filing, so less handoff is needed than for a point solution. No case management system is named: no Filevine, Litify, SmartAdvocate or CASEpeer connector, though those are what mass tort firms run, and no API or export documentation was found. A firm with an existing case management system cannot tell whether SimplyConvert connects to it or replaces it.
Integrations are named and carry a complete intake workflow. Legal integrations include Clio, MyCase and LawPay for practice management, case management and payments, plus Salesforce and Calendly, with Zapier extending further. The vendor states more than 7,000 integrations, and an independent legal technology directory puts the figure above 1,000. Conversations are said to sync to customer systems in real time. Retainers can be sent automatically once a receptionist completes intake, carrying a prospective client from first contact through qualification to engagement paperwork without a human handoff. Independent review describes the Clio integration as plug and play with no technical setup, and a competitor's comparison cites Clio workflows as a reason to choose this vendor. No API documentation is published, and the 7,000 figure is not itemized.
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.
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.
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.
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.
No certification, attestation, trust center or security page was found: no SOC 2, ISO 27001, HIPAA statement, business associate agreement, named auditor, penetration testing partner or encryption statement. The only security language is that the platform securely maintains data for real time analysis, which names no standard and cannot be checked. The missing HIPAA statement stands out because the Camp Lejeune platform handles health and service records for a claims process.
No certification, attestation, trust center or security page is published. No SOC 2 of either type, ISO 27001, named auditor, penetration testing partner or encryption statement was found on the pages read, and nothing suggests a gated security page. The gap matters because the vendor holds call recordings and transcripts for law firms whose own obligations attach to that material. A service handling consumer voice data at this scale would usually be asked for an attestation in procurement.
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.
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 center 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.
The speech and language models behind the product are unnamed. No foundation model, speech recognition provider, model family or version is named, and no subprocessor list was found. A voice product needs speech to text, text to speech and language model components, each commonly supplied by a third party, and none is identified, so a firm cannot tell which parties process recordings of its prospective clients' calls. The vendor describes the AI as deeply context aware and connected to key systems, which describes capability, not provenance.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
No pricing is published at any level: no price, range, tier or unit of charge, and nothing on whether the platform is priced per firm, seat, qualified lead, litigation or claim, which are very different models for a product spanning a chatbot, CRM, referral management and filing platforms. No independent estimate was found. The vendor's own case against live chat is about cost, that firms could not quantify it and up to 75 percent of paid leads were wasted, yet it discloses no cost of its own, so a buyer cannot make the comparison it invites.
Pricing is published in detail across two product lines and several tiers, with the unit of charge stated throughout. The AI Receptionist free tier is $0 per month for 25 calls, then $3.00 per call, and paid AI plans start at $95 per month with per call rates and a stated overage rate. The hybrid Virtual Receptionist starts at $292.50 per month for 30 calls, with published per call pricing after that. Annual Done-for-You AI plans are fixed at $500, $1,000 and $2,000 per month 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 billing per call rather than per minute, which independent review says suits firms with longer intake calls. A buyer can model their own cost from published material. Independent analysis of more than 500 billing patterns finds invoices typically run 20 to 30 percent above the base plan price, driven by usage and automatic escalation to live agents rather than rates.
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 stated at the level of named litigations, not just practice areas. The focus is personal injury and mass tort, with the platform built by a mass tort lawyer and Mass Torts 360 as a dedicated product. It ships a Camp Lejeune Water Contamination Litigation platform covering intake, data management and administrative filing for that proceeding, and a Boy Scout trust distribution procedure quantifier built for that settlement's claim structure. A firm can check those against its own docket. No jurisdiction or firm size is stated, and nothing says how quickly new litigations are supported or how many are covered beyond the two named.
Channel and market coverage are broad, and legal practice coverage is not described. Channels include 24/7 inbound calls, web chat answered by live agents, outbound calling on higher plans for sales follow up and appointment confirmation, and CRM intake routing, with emergency keyword routing and spam blocking, all in English and Spanish. The market reaches well beyond law into medical, contracting and other professional services. The home page demonstrates a scenario outside legal, and one reviewer notes the product now prices itself for contractors rather than law firms. Independent review identifies strength in emotionally charged intake, including personal injury, family law and criminal defense, and suitability for firms with 30 to 150 calls a month. None of that legal detail comes from the vendor, which names no practice areas or jurisdictions.
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?
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. Nothing either way was found on whether intake conversations, survivor accounts, health and service records, claim form data or qualification outcomes train or improve models. The content is highly sensitive: the Boy Scout TDP Quantifier is said 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, not customers, and cannot consent, object or ask. Checked the home page, platform solutions page, product pages and site navigation on 29 Aug 2026.
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?
Survivor accounts and claim records persist for no stated period. No retention period is published for intake conversations, survivor accounts, claim documents or qualification outcomes, and no deletion right is described. Because the platform does administrative filing and keeps data through to resolution, records persist for the life of a litigation and beyond. Nothing says what happens to the record of a person who was automatically rejected and never became a client, a large group on a platform that rejects outright. Checked the home page, platform solutions page, Instant Case Evaluator page and site navigation on 29 Aug 2026.
Call recordings and transcripts are kept for no stated period. 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?
Intake data has no described walls, and referrals add a further question. No permission model, access limit or segregation description was found. Beyond prospective client conflicts, the platform includes referral management: firms keep the cases they want and refer out others, tracking communications and fee agreements across parties. A potential client's intake information therefore moves between law firms through the vendor's system, and nothing describes what is shared, what consent supports it, or how the referring firm's data is separated from the receiving firm's. In mass tort, where firms work as cocounsel and refer at volume, that is the key segregation question. Checked the platform solutions page, home page and product pages on 29 Aug 2026.
Human agents serving many firms raise a conflict risk that no permission model covers. No permission model, access restriction or segregation description was located. The vendor runs a Live Agent Network, so people employed by a third party hear prospective clients describe their legal problems. Nothing says whether an agent handles calls for competing firms, whether agents are screened or restricted across customers, or what stops an agent who took an intake call for one side of a dispute from taking one for the other.
Prospective client conflicts arise here as for any intake product, and the human agents add a conflict risk that no permission model can address, because it sits with people rather than 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?
Claimant records tied to a government claims regime carry no notice protection. 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.
Recordings of callers' legal problems carry no notice protection against requests. No government or law enforcement request clause, commitment to notify a customer before producing its data, or transparency report was located. The material held is sensitive: recordings and transcripts of members of the public describing legal problems to what they think is a law firm, in practice areas that include criminal defense and family law, where a caller's own account could harm them 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?
Customer authored case criteria drive qualification, leaving one live residue in the settlement valuation tool. 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.
Firm scripts supply the content, so the live residue sits in the speech and language models. 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?
Intake and filing work cite no authority a citator could check. 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. This is a fact about scope, not a disclosure failure. Checked the platform solutions page and the home page on 29 Aug 2026.
Call answering produces nothing a citator could check. Smith.ai answers calls, qualifies callers against a firm's intake script, books appointments and routes inquiries into a CRM, and produces no legal research or citation to authority, so there is nothing for a citator to check. Checked the home page, the AI Receptionist page and the directory listing on 29 Aug 2026.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Borderline claimants risk rejection with no described route to a human. The system automatically rejects unqualified leads, so an uncertain case is declined rather than flagged. Nothing says whether a borderline evaluation goes to a person instead, whether incomplete answers count as unqualified, or what a rejected person is told and whether they are directed elsewhere. In mass tort litigation with filing deadlines and trust distributions with claim windows, a wrongly rejected claimant may not get another chance.
The vendor says the chatbot gives instant legal guidance, and nothing describes what it does when a question falls outside its criteria. Checked the Instant Case Evaluator page, platform solutions page and home page on 29 Aug 2026.
Uncertain calls escalate to live agents, a behavior known only from third party reporting. 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 authorization, which is in substance an uncertainty behavior: 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 authorize. A behavior a customer only discovers through their invoice is not a disclosed behavior. 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 addressing fabricated or hallucinated legal citations in output from this product?
None located. General web searches combining the vendor and product names with court, order, sanction and complaint terms returned nothing on 29 Aug 2026; no docket database, court record tracker or state consumer protection register was searched. This records what the search found and is not a clearance. The product generates no legal authority, so the comparable risks are a wrongly rejected claimant, a contested quantifier valuation in a trust distribution, or a Camp Lejeune filing error, the first two of which would appear in the dockets of the litigations this vendor serves, making a targeted docket search worthwhile later.
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. This is a statement about what this search found, not 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.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Ethics guidance goes uncited, though three parts of the product engage professional rules. Automated drip marketing to people 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 prescriptive and vary by jurisdiction. Automatic retention forms an attorney client relationship by machine, which engages the rules on when representation begins.
No ethics opinion, ABA Formal Opinion 512 or state bar guidance is cited or engaged. Checked the home page, platform solutions page, product pages and site navigation on 29 Aug 2026.
Bar guidance on outsourced intake, long established, finds no echo here. No ethics opinion, ABA Formal Opinion 512, state bar guidance or engagement with professional conduct rules was located. Bar guidance on outsourced legal intake by people who are not lawyers has existed for years, covering supervision of nonlawyer assistants, confidentiality of prospective client communications and fee sharing. This vendor has built its business on legal intake, with agents trained on attorney style intake scripts, and engages none of those rules. 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?
The product works before an engagement exists, and its savings claim is about wasted spend rather than time saved. The vendor says firms auditing their live chat spend found up to 75 percent of paid leads were unreachable or had already hired another lawyer, and that its engagement runs up to 400 percent higher, with no sample, period or source given. Nothing addresses the client side: whether automated intake or retention is disclosed to the potential client as machine driven, or any record of which part of an intake or claim valuation the machine produced, which matters when a quantifier result shapes what a survivor is told their claim is worth.
The product works before an engagement exists, so it sits outside the fee relationship. Its savings claim is a concrete cost comparison. The vendor says an in house weekday receptionist costs $4,000 or more a month, takes months to ramp up, turns over constantly and covers limited hours, against published plans far below that with 24/7 coverage. Naming the alternative's cost makes the claim checkable. Customer outcome claims are attributed to named people at named firms without method, including a 60 percent year over year increase in sales profit.
Nothing addresses whether outsourced intake cost is passed to clients, whether a caller is told they are speaking to a third party service or an AI, or which part of an intake was handled by a machine.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
Only the vendor's own security assurance is available to forward. No trust center, security page, named certification, subprocessor list, named model provider, data processing agreement or document request route was found, so a firm has nothing to forward. A firm asked by a claimant, cocounsel or a court how survivor accounts and health records are protected could offer only the vendor's own statement that it securely maintains data. Checked the home page, platform solutions page, product pages and site navigation on 29 Aug 2026.
Who speaks to a firm's prospective clients is a question nothing answers. No trust center, 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 to a client. The vendor is not only a processor but a service whose human agents handle the firm's client communications. A client asking who speaks to prospective clients for the firm, where they are, and how recordings are held cannot be answered from public material.
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?
Part of a record exists, and this product's output reaches formal proceedings. The Camp Lejeune platform does administrative filing and the Boy Scout TDP Quantifier fills in claim forms under a trust distribution procedure, so documents go into claims processes with adjudicators on the other side. Real time reporting and tracked communications and fee agreements give a process record. Nothing shows that a filed claim identifies machine generated content or which model produced a valuation, and no record shows a lawyer reviewed a quantifier result before it went into a claim form. A claims administrator asking how a valuation was derived would find no evidence either way.
A partial record exists, and it includes a real evidentiary artifact. Call recordings and transcripts exist because the product needs them, conversations sync into the firm's CRM in real time, and the vendor's home page shows recordings are kept and playable. A firm can in principle produce what a caller said and what was said back. In this setting the likely forum is a bar complaint, a fee dispute or a malpractice claim rather than a court filing, and a recording is the artifact those proceedings turn on.
Nothing indicates that a record marks which parts of a call were handled by AI and which by a live agent, the distinction that would matter if what a prospective client was told were disputed. No export or retention artifact is described as available to the customer on demand.
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.
- 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
- 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 Behavior
- 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 percent 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. It is built around the Instant Case Evaluator chatbot, which assesses potential cases around the clock against lawyer created criteria and then retains qualified clients and rejects unqualified leads automatically. Referral management, drip marketing and litigation specific products sit alongside. According to the AI Legal Index, its coverage is stated at the level of named proceedings, including a Camp Lejeune platform and a Boy Scout trust distribution procedure quantifier. It publishes no security attestation, no data handling position, no model name and no price.
Smith.ai
Smith.ai is an outsourced front office combining AI receptionists with a live human agent network. It is 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 inquiries into the CRM. Service runs around the clock in English and Spanish. According to the AI Legal Index, Smith.ai 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. It publishes no security attestation, no data handling position and no model provider.
Questions buyers ask
SimplyConvert vs Smith.ai: which is better for intake?
Smith.ai publishes its rates in full and a deep integration set, including Clio, MyCase and LawPay. 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. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
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. SimplyConvert publishes no price, range, tier or unit of charge, so the cost comparison its own argument against paid live chat invites cannot be run. From the AI Legal Index, based on each vendor's own published materials as of 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. From the AI Legal Index, based on each vendor's own published materials as of 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. From the AI Legal Index, based on each vendor's own published materials as of 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. From the AI Legal Index, based on each vendor's own published materials as of September 3, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
On SimplyConvert, the platform is stated to auto reject unqualified leads. 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. Nothing published states what triggers the AI to hand a call to a live agent, so the per call rates do not show how often the more expensive path will be taken. Neither vendor publishes a security attestation. Neither vendor reviewed this page.