Reflekt Legal vs Smith.ai: how they compare in 2026

The product is a set of AI agents, sold as AI employees. An AI legal receptionist takes inbound calls, and AI legal intake runs structured screening. AI lead follow up calls, texts and leaves voicemail within seconds of a new lead, and AI outbound calling handles appointment reminders, intake interviews by phone, billing follow ups and status checks. Conversations run on a purpose built legal intake dialogue engine configured to each firm's script and qualification rules. OpenAI supplies the language model and ElevenLabs the synthesized voice, with Twilio carrying calls and texts. The same agents work over voice, SMS, WhatsApp, email and web forms, in English and more than 15 other languages, including Spanish, Arabic, Portuguese, Cantonese and French. Feature agents sit on top: conflict and jurisdiction screening, treatment tracking for personal injury clients, referral handoffs for cases the firm cannot take and collection calls on past due invoices. Without the models there is no receptionist and no intake to sell; the rest is routing and CMS sync.

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.

The agents talk to callers rather than cite law, so the accuracy question concerns what they capture and say. The home page describes callers being handled accurately and professionally because the engine follows the firm's script and qualification rules. No error rate, test set or evaluation of call outcomes backs that statement. Quality control is described as logging. AI inputs and outputs are logged for quality assurance and audit, and LLM interactions are traced in Logfire and LangSmith. Every call also produces a transcript and a recording that the firm can review. No legal authority is researched or cited, and the company states that it is software, not a law firm, and gives no legal advice. Nothing describes how often a caller is screened out in error or how transcription accuracy holds across the 15 or more languages offered. No step compares the summary written to the CMS with the recording of the call.

Nothing is published. 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.

Calls are handled by AI from start to finish unless the firm's rules send them to a person. The firm defines the questions, the qualification rules and the handoff, and the agent applies them the same way on every call. Possible outcomes are a live transfer to firm staff, a booked consultation, a text or email, a referral or a message. Several checkpoints put a person back in the loop. Urgent calls are escalated to the firm's team. During conflict and jurisdiction screening the agent records parties, adverse parties, venue and matter type, and matters that need an attorney's eyes are flagged for review before a consultation is booked. Out of jurisdiction matters go to the firm's referral process. Collection calls route disputes to the firm's staff, and a whisper message briefs the staff member before a transfer connects. Review happens after the fact through transcripts, recordings and the summary in the CMS. No threshold is published at which the agent must stop and transfer a caller who is distressed or confused, beyond the firm's own routing rules.

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.

Three named firms speak for the product on dedicated customer pages, each with a named person. Chris Earley of Earley Law Group describes about a year of use. Ghassan Shamieh, managing partner of Shamieh, Shamieh & Ternieden, runs a San Francisco immigration firm with about 15 legal staff. He describes routed calls replacing a phone load that interrupted client meetings and court preparation, with callers served in Spanish, Arabic, Portuguese, Cantonese and French. Debbie Ames, COO of Fears Dudley Injury Law in Texas, describes a single receptionist covering several entities before the switch, and now reads transcripts and listens to recordings in place of call volume reports. The accounts are qualitative. None gives a conversion rate, a count of answered calls or a before and after figure, and none is dated beyond the length of use. The home page carries general claims about higher response rates from dormant leads and more cases signed, with no method or customer attached, and an ROI calculator.

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.

The Terms of Service, updated 10 March 2026, carry a customer data clause that reaches the portal and related services. The firm keeps all rights to its data. The company takes a limited right to access, use, process, store and transmit it only as needed to provide, operate and improve the services under the firm's instructions. It will not sell that data or use it for any other purpose unless the law requires. The security policy, last updated May 2025, says OpenAI processes customer data transiently during intake conversations and does not use it to train or fine tune models under Reflekt Legal's enterprise API agreements. The FAQ adds that firm and client data does not train public models and that retention limits follow the firm's own policy. Data access is scoped by project membership, so users cannot reach data from projects they do not belong to. Privilege and work product are not addressed, and nothing describes how a prospective client's confidences are handled when the firm cannot take the matter and the agent refers it to a partner firm. The services themselves run under a separate executed agreement that is not public.

Nothing is published: 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.

The product's limits are stated plainly. A reference page says it is software, not a law firm, and gives no legal advice. It sells to law firms, does not refer members of the public to counsel and is not a human answering service. Calls are handled by AI, with live transfer to firm staff when the firm's rules call for it. The conflict and jurisdiction feature keeps legal judgment with the firm. It captures parties, adverse parties, venue, matter type and dates, flags matters for attorney review before a consultation is booked and sends out of area matters to referral. The supervision side is not covered. Nothing describes whether callers are told they are speaking with AI, and one customer page quotes a caller who thought she was talking to a real person. No bar opinion on AI, solicitation, prospective clients or nonlawyer assistants is named, and nothing addresses how a firm supervises scripts in different states. Service is limited to the United States and Canada.

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.

No AI policy, responsible AI principles, model evaluation, bias testing or named owner for AI decisions is published. The controls Reflekt Legal describes sit in its security policy. LLM interactions are traced in Logfire and LangSmith for audit and performance monitoring, and AI inputs and outputs are logged for quality assurance. Personal data sent to the model is limited to names, contact details and conversation content. The agents decide which callers reach a consultation and which go to referral, in many languages. No review of how screening outcomes differ by language, accent or caller group is offered, and nothing describes testing before a new practice area script goes live. ISO 42001 and the EU AI Act are not mentioned.

Nothing is published about how the models are governed, evaluated or monitored. 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.

The security policy covers most of the ground in specific terms. Data in transit uses TLS 1.2 or higher and data at rest uses AES 256 on Google Cloud. Passwords are hashed with bcrypt, sessions use signed tokens with expiry, roles are scoped to projects, and every query checks project membership before returning data. Login attempts and lead lifecycle events go to dedicated audit tables. A subprocessor table names Google Cloud, OpenAI, Twilio, SendGrid, ElevenLabs, Stripe, Sentry, Cloudflare, DocuSign and Clio, each with its purpose. A documented incident response procedure covers identification, containment, eradication, recovery and review, and vulnerabilities are fixed within 7 days for critical and high severity, 30 for medium and 90 for low. Retention is the softer part. The privacy policy, updated 12 May 2026, keeps personal information as long as needed for the service, answers verified deletion requests within 30 days and deletes Google tokens within 30 days of disconnection. Intake retention follows the firm's policy with no default period, and breach notice follows applicable law with no stated window.

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.

The public Terms of Service, governed by Texas law with courts in Travis County, provide the website, portal and related services as is and as available. They disclaim all warranties, including accuracy and fitness for purpose, and exclude liability for damages of any kind arising from use. The firm indemnifies Reflekt Legal, and the firm warrants that it holds the rights, notices and consents needed for the client data it puts through the service. The lead conversion services themselves run under a separate signed agreement that is not public, so any cap, indemnity or service level commitment for missed or mishandled calls is negotiated. The Stripe fulfillment policy makes every purchase final, with no refunds or credits for partial use, downgrades or unused time. Monthly plans can be cancelled at any time, which is the main remedy described.

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.

The agents work inside the firm's existing systems rather than a separate dashboard. Integration pages cover Clio and Clio Grow, Filevine, Lead Docket, Litify, MyCase, Smokeball, SmartAdvocate, Neos, CASEpeer, Lawmatics, Law Ruler, Lawcus, Backdocket and Docketwise. LawPay, Vinesign, Salesforce, HubSpot, Calendly, Cal.com, Google Calendar, Outlook, Slack, Teams and Google Drive are covered too. The Clio and Filevine pages list what the agent does. It creates and categorizes contacts, updates contact details in real time and creates follow up tasks, or new Filevine projects with fields filled. It attaches transcripts, signed forms and documents to the client record and updates lead and matter statuses. During a call it can look up existing matters to answer with context, so data moves both ways. Clio connects through OAuth 2.0 with PKCE. Setup is handled by Reflekt Legal, which reviews the firm's configuration and trains the agent on it in one to two days. Field mappings and what the firm itself must configure are not documented.

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.

Reflekt Legal runs on Google Cloud as two separate deployments, one for the United States and one for Canada, each with its own database and infrastructure and its own app address. Production runs in containers built from patched base images and deployed as infrastructure as code. Calls to outside providers go to region appropriate endpoints where the provider supports them. OpenAI handles the language model, ElevenLabs the voices and Twilio the calls and texts, and the policy does not say where each processes Canadian traffic. Canadian personal information is handled under PIPEDA and United States data under state privacy laws such as the CCPA. No single tenant or on premises option is offered, and nothing changes between plans on where data sits. Service is offered only in the United States and Canada.

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.

No SOC 2 report, ISO 27001 certificate, penetration test summary or named auditor is offered, and there is no trust portal. In place of an attestation, the company publishes a detailed security policy, last updated May 2025. It covers hosting, encryption, authentication, role based access, tenant isolation through project membership, SQL injection protection, input validation, rate limiting, pinned dependencies, error monitoring and remediation timelines by severity. Security researchers can report vulnerabilities by email. The engineering lead's background in red team work and bot detection at Cloudflare appears on the about page. None of this is independently audited.

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.

OpenAI is named as the language model provider for every AI feature, and ElevenLabs as the provider of voice synthesis. Twilio carries calls and texts, and both appear in the published subprocessor table with Google Cloud, SendGrid, Stripe, Sentry, Cloudflare, DocuSign and Clio. OpenAI processes conversation data transiently, under enterprise API terms that exclude training and fine tuning. LLM calls are traced through Logfire and LangSmith. No model family or version is named, and the dialogue engine on top is described only as purpose built for legal intake. Nothing commits Reflekt Legal to notifying customers when a model or subprocessor changes.

Nothing is published. 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.

Prices are public and the unit is the call. A free Solo plan costs $0 and includes 30 calls a month with transfers and scheduling. Base is $500 a month for 250 calls, with multilingual support and routing through the firm's CMS or CRM. Growth is $1,000 a month for 500 calls and adds outbound lead follow up, payments taken by phone and referral network help. Calls above the allowance cost $2 each. A yearly commitment takes 10% off Base and Growth, which brings them to $5,400 and $10,800 a year. Enterprise adds long interviews, complex qualification logic, multistep intake, outbound calling and dedicated onboarding, with terms set in a quote. There are no setup fees and no long term contract, and every tier is available month to month. Inbound service can go live in a day and outbound in two to five days after business verification. Payments made by card are final, with no refunds for partial months. A comparison page sets Reflekt Legal's flat monthly plans against per minute and per call answering services.

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.

The product is sold only to law firms, of any size, that miss calls after hours, during hearings or at peak volume. The named fit is high intake practices such as personal injury, family law, criminal defense and immigration. Defense firms taking assignments from carriers, administrators and employers are named too, as are firms serving clients who need intake in their own language. Practice pages cover 22 areas, among them mass tort, medical malpractice, social security disability, workers' compensation on both sides, insurance defense, subrogation, employment, bankruptcy, estate planning, elder law, real estate, intellectual property and business law. Mass tort pages describe screening claimants on product, exposure dates, injury type and prior settlements during campaign spikes. The limits are stated. The company does not serve consumers looking for a lawyer, anyone seeking legal advice, firms that want human answering, businesses outside law, or buyers of a general chatbot or drafting tool. Service is limited to the United States and Canada.

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.