I
Intaker
Intaker is a cloud intake and client relationship management platform for law firms, built around website chat that qualifies leads around the clock. Its distinguishing feature is video: lawyers record intro and outro videos that play inside the chat, so a prospective client sees the attorney rather than a text widget. The chat runs on more than 1,400 custom prompts with prebuilt scripts for different practice areas, and Live Call Connect, a click to call widget, turns a chat lead into a live phone transfer to the firm.
Beyond chat, the platform covers lead tracking, two way texting, automated email and text follow up sequences, virtual inbox workflows, staff reminders and reporting. Stated capabilities include natural language processing, language detection and automated responses. Named integrations are Clio, Filevine, Salesforce, Calendly, Google Analytics and Google My Business. Independent software directories list pricing from $80 per month with no free trial. The company is Intaker, Inc.
Intaker, head to head
Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.
Alternatives to Intaker
Vendors in the same categories as Intaker whose graded profiles look most alike, with a line on what each product does.
Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
- LLawDroidLawDroid is an AI legal automation platform for law firms, legal aid organizations, courts and government agencies, operating since 2016.
- LLawmaticsLawmatics is a client relationship management and marketing automation platform built for US law firms, founded in 2017 by a team including practicing attorneys and a cofounder who…
- PPerspective AIPerspective AI replaces static intake forms with adaptive conversations led by AI, marketed as Intelligent Intake and positioned as structured capture rather than a chatbot.
- SSmith.aiSmith.ai is an outsourced front office service combining AI receptionists with a network of live human agents, positioned as AI and people handling every call together.
- CCasefloodCaseflood is an AI intake platform, sold with an advisory engagement, for plaintiff and consumer law firms that run their own intake teams.
- SSimplyConvertSimplyConvert is an intake, client relationship and case management platform for plaintiff and mass tort firms, founded by a mass tort lawyer, covering first contact through intake, filing…
Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
Capability grades
All 15 axes, graded from public sources on the date shown. 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.
Intaker is a scripted chat and CRM product with AI capability layered across it. The chat runs on more than 1,400 custom prompts and prebuilt scripts for different practice areas, which is written conversational content rather than generated conversation. The surrounding platform, lead management, texting, follow up sequences, virtual inbox workflows and reporting, is fixed automation. The stated AI capabilities are real and specific: natural language processing, language detection and automated responses, and both the vendor and independent directories describe the intake automation as AI driven.
Removing the models would leave a working scripted chat widget, CRM and follow up engine, which is most of what a firm buys.
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 is published. A chat running on 1,400 written prompts produces less free text than an adaptive conversational agent, so the usual hallucination exposure is smaller; that is a design property, not a disclosure. Nothing addresses what the AI layer does: no accuracy figure for language detection, response selection or qualification, no error rate and no evaluation. Nothing says what happens when a prospective client's message matches no written prompt, which is where a scripted system either falls back gracefully or answers wrongly.
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.
Two published mechanisms put a human into the conversation itself. Live Call Connect, a click to call widget, turns a chat lead into a live phone transfer to the firm, so the prospective client reaches a person while still engaged rather than after a record is handed off. The video feature works differently: an attorney records intro and outro videos that play in the chat, so a named person is visibly present in an automated conversation.
Nothing is bounded. There is no statement of what triggers a call transfer or whether only the caller can start one, and no threshold on qualification. Nothing says what the chat does outside business hours when no one can take a transfer, and there is no override or review path for a qualification decision.
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.
Independent listings and verified reviews exist in small numbers, and no customer or outcome figure does. Without relying on the vendor, a reader can find listings on several independent software directories, with provider data stated as verified and reviews moderated for authenticity. There is also a listing in a named legal technology publication, a published starting price and a corporate entity, Intaker, Inc. Directory testimonials are attributed to roles rather than named firms, and volume is thin, with one major platform showing three user reviews.
No law firm is named in vendor material, and no case study, usage figure, funding announcement or outcome claim with a figure 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 located. No confidentiality statement, no encryption reference, no data handling description and no treatment of privilege or prospective client confidences was found. The product's own design raises the question more sharply than a text chat would: two way business texting means prospective client communications travel by SMS, which is an unencrypted channel outside the firm's control, and the platform centralizes those communications alongside chat transcripts and lead records in a vendor held CRM.
Nothing published addresses the confidentiality of any of it, and nothing distinguishes the status of a chat transcript from a prospective client who never becomes a client.
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.
No position is published. The chat qualifies prospective clients against criteria for specific matter types using more than 1,400 written prompts, so the system has a substantive exchange about a person's legal problem and reaches a qualification outcome before any lawyer is involved. Nothing says the chat does not give legal advice, describes what automated responses may say when a prospective client asks a substantive question, or tells the person whether they are talking to software or a human.
That last point matters here because the video feature presents a named attorney inside an automated conversation. No bar guidance is engaged.
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 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. The chat qualifies leads automatically, so it decides which inquiries reach a firm, and nothing indicates whether qualification outcomes have been examined across different groups of people.
Language detection deserves specific mention: these systems perform unevenly, and a misdetection at first contact affects whether a prospective client who does not speak English can proceed at all. No evaluation of it is published.
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 stewardship position located. Nothing states whether chat transcripts, text message threads, lead records or qualification outcomes are used to train or improve models, no retention period is published, and no deletion right is described. The platform is a CRM as well as a chat widget, so it holds a firm's prospective client base durably by design, and two way texting adds a communications archive on top of it. Nothing published addresses any of that, and no privacy policy or data processing statement is published in the material read.
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 on liability for AI output, warranty, service levels or remedy is published. One exposure is specific to this product: automated follow up sequences send personalized email and text reminders to leads on the firm's behalf. The vendor's system therefore sends outbound messages to consumers, and texting prospective clients engages consumer protection and messaging rules regardless of AI. Nothing published addresses responsibility for the content or sending of those messages, or for an inquiry wrongly screened out, a failure the firm would not see.
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.
Named integrations cover the practice management systems this buyer runs, plus marketing and scheduling. Clio and Filevine are named for practice and case management, Salesforce as the general CRM, Calendly for scheduling, and Google Analytics and Google My Business for traffic and listing attribution. Filevine matters here because plaintiff and high volume consumer firms commonly run it. The Google My Business connection suits an intake product, since many consumer legal inquiries start from a local listing rather than the firm's own site.
No integration depth is described for any named system, nothing says whether lead data flows one way or both ways, and no API documentation is published. The integrations are listed, not described as workflows.
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 beyond the product being cloud based and embedded on a firm website. The platform holds prospective client chat transcripts, text message history and lead records, and routes text messaging through a carrier layer that is not identified, so neither the location of the data nor the parties handling the messaging can be determined from public material.
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 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 exists. The gap matters for a platform holding consumer chat transcripts and text message history for law firms whose own obligations attach to that material.
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 gap is wider than the model layer alone on this product: two way business texting necessarily runs through a messaging carrier or platform, and Live Call Connect necessarily routes through telephony infrastructure, and neither is identified, so a firm cannot determine which third parties carry its prospective clients' messages and calls. The vendor names six integration partners and no processor.
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.
A specific entry price is published by independent sources, and nothing above it. Several independent software directories report a starting price of $80 per month, consistently and with provider data stated as verified by their research teams, and one records that no free trial is available. Nothing describes a tier structure, a unit of charge, what the entry price includes or what raises it. Nothing says whether pricing scales by seats, conversations, leads or messaging volume, which are very different meters for a product that bundles chat, CRM and two way texting. The figure comes from directory listings. No vendor pricing page is published, and one may exist.
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.
Practice coverage is claimed by volume and described no further. The strongest statement is the prompt library: more than 1,400 custom prompts with prebuilt scripts for different practice areas, which suggests the product ships with qualification logic for specific matter types rather than leaving a firm to write it. No practice area is named, so a firm cannot tell whether its own is scripted. No jurisdiction is stated, and firm coverage is described only as law firms of all sizes, which excludes nobody. A number without a list describes scale, not coverage.
1 public document
The public pages on file for Intaker, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.
-
capterra.com/p/275613/Intaker1 signal
Client Data in Training
Read Aug 29, 2026
Legal Signals
What each signal meansA signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
A published agreement or policy exists and none of it addresses the question either way, or the document that would answer it could not be read and the summary names the retrieval limit. The summary states which shape the silence takes: an improvement right granted that never names training, or no improvement right granted at all.
Silent. The quoted description is the product's core function as stated across independent directories, and it describes what the system does rather than what happens to what it collects. No statement in either direction was located on whether chat transcripts, text message threads, lead records or qualification outcomes are used to train or improve models. The platform holds this material durably by design, since it is a CRM as well as a chat widget, and two way business texting adds a communications archive alongside the transcripts.
No privacy policy or data processing statement was located in the material read. The people in these conversations are prospective clients who are not the customer and cannot consent, object or ask. Recorded as silent, not as a negative commitment. Checked the vendor material, the blog, the directory listings 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?
No located public material states how long prompts and outputs are retained.
Not addressed. No retention period is published for chat transcripts, text message history, lead records or automated follow up sequences, and no deletion right is described. Retention is structural rather than incidental: the platform provides lead tracking, customer history and interaction tracking as named capabilities, all of which require durable storage, and follow up automation depends on a lead record persisting after the conversation ends.
Nothing states what happens to records of prospective clients who never became clients, or to the database on termination. Checked the vendor material, the directory listings 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?
No located public material addresses walls or matter level segregation.
Not addressed. No permission model, access restriction or segregation description was located. The chat captures a person's account of their legal problem and creates a lead record before any conflicts check, and nothing says whether that record is held back, restricted within the firm, or immediately visible to whoever works the queue. No conflict checking feature is named, and nothing addresses segregation between customers. Checked the vendor material, the directory listings 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?
No located term or policy addresses third party requests for customer data.
Not addressed. No government or law enforcement request clause, no commitment to notify a customer before producing their data, and no transparency report were located. The vendor holds chat transcripts and two way text message threads in which prospective clients describe legal problems, and the messaging path traverses an unidentified carrier layer, so a request could reach either the vendor or a processor the firm cannot name.
Nothing published addresses any of it. Checked the vendor material, the directory listings 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?
No located public material identifies the corpus behind the product’s answers.
Not addressed, and largely inapplicable with one live residue. The platform has no primary law corpus: the conversational content is the vendor's library of more than 1,400 authored prompts plus whatever the firm configures, so the substance is authored rather than retrieved. The residue is what the AI layer was built on. Natural language processing and language detection are stated capabilities and both are learned behaviors, and nothing published states what corpus supports either, whether the prompt library was derived from prior customer conversations, or whether qualification logic reflects aggregated intake data across firms. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
Not addressed, and not applicable. Intaker runs intake chat, manages leads and sends follow up messages. It produces no legal research or citation to authority, so there is nothing for a citator to check. Checked the vendor material and the directory listings on 29 Aug 2026.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No located public material addresses what the product does when it cannot ground an answer.
Not addressed, and the scripted design makes the gap specific. A chat running on more than 1,400 written prompts will meet inquiries that match none of them, and nothing says what happens then. The system might say it cannot help, offer a human, give a generic response, or pick the nearest prompt and answer something next to the question. Language detection adds to it, since a misdetected language produces a reply in the wrong language, and nothing says whether low confidence detection is handled differently.
Live Call Connect offers a route out of a stuck exchange through a phone transfer, but nothing says whether the system offers it when it cannot proceed or only when the prospective client asks.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.
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 be a complaint arising from an automated intake exchange, or a dispute over automated text messages sent to prospective clients under messaging and consumer protection regulation, and neither would surface through a citation focused search.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
Not addressed. No ethics opinion, ABA Formal Opinion 512, state bar guidance or engagement with professional conduct rules was located, although the vendor publishes a blog for law firms comparing chat options and advising on intake practice. Two features engage professional rules directly and neither is addressed. Automated email and text follow up to prospective clients falls under lawyer advertising and solicitation rules that vary by state.
The video feature presents a named attorney inside an automated conversation, which engages rules on communications about a lawyer's services. Checked the blog, the vendor material, the directory listings 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 does not touch a fee between a lawyer and a client. It operates before an engagement exists, or it is bought by a team that bills no client for the work. Savings claims aimed at the buyer’s own cost are recorded in the summary and do not make the row a savings claim, because no client bill is in the loop.
The product works before an engagement exists, so it sits outside the fee relationship, and its savings claims are framed as revenue rather than cost. The vendor says its workflow sequences and automation tools help law firms maximize revenue, and its positioning is signing more cases with less effort and better lead conversion. Independent directory material notes that buyers judge total cost on lead conversion and automation depth rather than subscription price.
No figure, method or baseline supports those revenue claims, and no customer outcome number was located. Nothing addresses whether an automated intake exchange or follow up sequence is disclosed to the prospective client as machine generated, and no record shows which part of a first interaction was automated. Checked the vendor material, the directory listings and independent review on 29 Aug 2026.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
Not addressed. No trust center, 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 to a client. The gap goes beyond the model. A firm asked which third parties handle its prospective clients' text messages and phone transfers could not answer, because neither the messaging carrier nor the telephony provider behind Live Call Connect is named. Checked the vendor material, the blog, the directory listings 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?
No located public material addresses court disclosure or verification certification.
Not addressed. Nothing indicates that output records which model produced it, no human verification record is captured, and no export or audit record was located. The platform keeps a lot of raw material by design: customer history and interaction tracking are named capabilities, and chat transcripts and text threads sit in the CRM, so evidence of what was said exists in principle. Nothing states that it can be produced as a record or that it separates automated responses from human ones.
That distinction matters here, because one conversation can contain automated prompts, a recorded attorney video and a live call, and nothing describes a record showing which was which. The likely forum is a bar complaint, a fee dispute or a malpractice claim rather than a court filing.