Caseflood vs Intaker: how they compare in 2026
Caseflood and Intaker both handle intake for consumer and plaintiff law firms, but they put the AI in different places. Caseflood's AI works behind the firm's own intake reps, dialing, texting and guiding each call, while the reps hold every conversation. Intaker's AI faces the prospective client directly, in a website chat built on more than 1,400 authored prompts. Caseflood sits in the top two bands on four of fifteen axes and Intaker on two of fifteen, identical on nine. Caseflood's lead is evidence: it names two firms with results they report, including Lawrence & Associates rising from 60 to 140 cases signed a month. Intaker names no customer. Intaker's counterweight is the handoff to a person and its named connections. Live Call Connect turns a chat into a live phone transfer to the firm, and it names Clio, Filevine, Salesforce and Calendly among its integrations. The shared silence is wider than either lead. Neither publishes a customer agreement, a security attestation, a model provider or a position on training with prospect data.
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.
AI drives much of the work inside an intake workspace people run. Caseflood's AI makes dialing decisions, texts leads, guides reps in real time, captures and qualifies case details and writes call wrap-ups, and answers leaders' questions about performance. The reps hold every conversation, and the dialer, workspace, retainer tools and dashboards would still function without the models. Verified 22 September 2026.
A scripted chat and CRM product with AI capability layered across it, and the product's own architecture states the position. The chat runs on more than 1,400 custom prompts and pre built scripts for different practice areas, which is authored conversational content rather than generated conversation, and the surrounding platform is lead management, texting, follow up sequences, virtual inbox workflows and reporting, all of which are deterministic automation. Stated AI capabilities are real and specific rather than decorative, covering natural language processing, language detection and automated responses, and the vendor and independent directories both describe the intake automation as AI driven, so the bar is comfortably cleared. Graded C because removing the models leaves a working scripted chat widget, CRM and follow up engine, which is most of what a firm buys, and because prompt libraries are the opposite architecture from the adaptive generation that earned Perspective AI an A in this category. Five of six records in this category now sit at C on this axis.
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.
Checked the home, Product and Company pages on 22 September 2026. Nothing is published on the accuracy of AI call guidance, captured case details, qualification or call summaries. Verified 22 September 2026.
Nothing published, with the note recording that the scripted architecture materially reduces what this axis is testing for. A chat running on 1,400 authored prompts generates less free text than an adaptive conversational agent, so the classic hallucination exposure is smaller than on Perspective AI or LawDroid, and that is a design property rather than a disclosure. What remains unaddressed is everything the AI layer does: no accuracy figure for language detection, automated response selection or qualification, no error rate, no evaluation, and no statement of what happens when a prospective client's message does not match any authored prompt, which is the case where a scripted system either falls back gracefully or answers wrongly. Nothing published describes either behaviour. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
People hold the conversations and the firm sets the rules. The site says the firm's intake reps handle every human conversation while AI supports dialing, texting, preparation, in-call guidance and follow-through; the firm defines which cases it wants and which matters need attorney review; reps can review and lock captured information; and firm judgment stays central to qualification and representation decisions. No limit is stated on what the AI texts to prospects on its own. Verified 22 September 2026.
Two published mechanisms put a human in the conversation rather than after it, and one of them is unique on this index. Live Call Connect with a click to call widget converts a chat lead into a real time phone transfer to the firm, which is escalation from machine to human inside the same interaction rather than a handoff of a record afterwards, and it is the strongest such mechanism in this category because the prospective client speaks to a person while still engaged. The video component reinforces it in a different direction: an attorney records intro and outro videos that play in chat, so a named human is visibly present in an automated conversation and the prospective client is not left uncertain whether anyone is behind it. Held at B because nothing is bounded: no statement of what triggers a call connect or whether it is caller initiated only, no threshold on qualification, no description of what the chat does unattended outside business hours when no one can accept a transfer, and 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.
Named firms with results, on the clients' own account. The site features Schuerger Shunnarah Trial Attorneys, reporting about 300 more cases signed a month and 50 fewer lost after signing, and Lawrence & Associates, reporting a rise from 60 to 140 cases signed a month and speed to lead cut from about ten minutes to two seconds, with video testimonials from partners and reps. The results are labelled client-reported, with individual results varying, and are not dated or measured by a stated method. Verified 22 September 2026.
Independent listings and verified reviews exist in small numbers, and no customer or outcome figure does. Verifiable without the vendor: listings across several independent software directories with provider data stated as verified by their research teams and reviews moderated for authenticity, a directory listing on a named legal technology publication, a published starting price, and a corporate entity, Intaker, Inc. Customer testimonials appear in directory listings and are attributed to roles rather than named firms, and the volume is thin, with one major platform showing three user reviews. Against that: no law firm is named anywhere in vendor material, no case study, no usage figure, no funding announcement and no outcome claim with a figure were located. Held at C rather than D because the independent directory presence with verified review moderation is external evidence the product exists and is used, which is more than the wholly self authored evidence base that put Perspective AI at D in this category, and below B because nothing establishes scale or result.
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.
Checked the home, Product and Company pages and the website privacy notice on 22 September 2026, and the /terms address returns a missing-page error. No customer agreement or product privacy policy is published; the privacy notice covers marketing-site analytics only, and nothing addresses confidentiality of prospect and client data, model training or retention. Verified 22 September 2026.
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 centralises 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. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. 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.
Firm judgment is asserted without an advice line or caller disclosure. The site says the firm defines its qualification rules and which matters need attorney review, and that firm judgment stays central to qualification and representation decisions. Nothing states that Caseflood gives no legal advice, and nothing addresses telling prospects that texts or guidance are AI-generated or how call recording and consent are handled. Verified 22 September 2026.
Not located. The chat qualifies prospective clients against matter specific criteria using more than 1,400 authored prompts across practice areas, which means the system conducts a substantive exchange about a person's legal problem and reaches a qualification outcome before any lawyer is involved. Nothing published states that the chat does not provide legal advice, describes what the automated responses may say when a prospective client asks a substantive question, or discloses to the person whether they are talking to software or a human, which is a live question on this product specifically because the video component presents a named attorney inside an automated conversation. Nothing engages any bar guidance. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
Checked the home, Product and Company pages on 22 September 2026. No AI governance position, accountable owner, testing before release, or finding on how qualification guidance treats different callers or case types was located. Verified 22 September 2026.
Nothing published about how the models are governed, evaluated or monitored. No AI policy, no model card, no bias or fairness testing, no evaluation methodology, no accuracy monitoring, no drift statement, no named governance body, no ISO 42001 and no EU AI Act positioning were located. The qualification concern recorded across this category applies here in its scripted form: the chat pre qualifies leads on autopilot, so it decides which inquiries reach a firm, and nothing indicates whether qualification outcomes have been examined across respondent populations. Language detection is a stated capability and is worth naming specifically, because language detection systems perform unevenly and a misdetection at first contact affects whether a non English speaking prospective client can proceed at all, and no evaluation of it is published. Fifth of six records in this category with no fairness evaluation on a system that filters prospective clients.
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.
Checked the home, Product and Company pages and the website privacy notice on 22 September 2026. Nothing is published on how prospect and client data is secured, retained, deleted or shared with subprocessors, or on incident handling. Verified 22 September 2026.
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 was located in the material read. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
Checked the home, Product and Company pages and tried the /terms address on 22 September 2026. No customer agreement is published, so nothing states Caseflood's liability, warranties or recourse. Verified 22 September 2026.
No published position located on liability for AI output, warranty, service levels or remedy. The exposures follow the category pattern with one addition specific to this product: automated follow up sequences send personalised email and text reminders to leads on the firm's behalf, so the vendor's system originates outbound communications to consumers, and text messaging to prospective clients engages consumer protection and messaging regulation independently of anything about AI. Nothing published addresses responsibility for the content or the sending of those messages, nor for a wrongly disqualified inquiry, which remains the invisible failure recorded across this category. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
Integration is described in general terms. The site says Caseflood connects the intake workflow with lead sources, case systems, documents and partner processes, mapped during setup, and opens internal medical-referral tools in the workspace. No system is named and no connection is documented. Verified 22 September 2026.
Named practice management integrations covering both major systems this buyer runs, plus the marketing and scheduling layer. Named: Clio and Filevine on the practice and case management side, Salesforce as the general CRM, Calendly for scheduling, and Google Analytics and Google My Business for traffic and listing attribution. Naming Filevine alongside Clio matters for this category, because Filevine is the system plaintiff and high volume consumer firms commonly run and it is named by only one other record in this category. The Google My Business connection is unusual and sensible for an intake product, since a substantial share of consumer legal inquiries originate from a local listing rather than from the firm's own site. Held at B rather than A because no integration depth is described for any named system, nothing states whether lead data flows one way or bidirectionally, no API documentation was located, and the integration set is a list rather than a described workflow, which is what separated Smith.ai and Lawmatics at A.
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.
Checked the home, Product and Company pages on 22 September 2026. No hosting provider, region, tenancy or deployment option is published. Verified 22 September 2026.
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. Checked the vendor material, the directory listings and independent review on 29 Aug 2026.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
Checked the home, Product and Company pages on 22 September 2026, and the /security address returns a missing-page error. No certification, audit or trust centre appears on the current site; compliance claims from a 2025 launch announcement are not repeated there. Verified 22 September 2026.
No certification, attestation, trust centre or security page was located. No SOC 2 of either type, no ISO 27001, no named auditor, no penetration testing partner and no encryption statement were found across the pages read. Under the three tier test the artifact is absent rather than gated. SIX of six records in legal-intake-and-client-development now sit at D on this axis with no exception, which makes this the most uniform pattern in the category and, at six records, close to the strongest in the pull. One name remains before it can be published. The gap is material for a platform holding consumer chat transcripts and text message history on behalf of law firms whose own obligations attach to that material. Checked the vendor material, the blog, the directory listings, the site navigation and independent review on 29 Aug 2026.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
Checked the home, Product and Company pages on 22 September 2026. No model, model provider, inference location or change notification is named; the site says only that the platform is built to improve as AI models advance. Verified 22 September 2026.
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. Checked the vendor material, the directory listings, the integration descriptions and independent review on 29 Aug 2026.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
Checked the home, Product and Company pages on 22 September 2026, and the /pricing address returns a missing-page error. No price, unit or tier is published; every route in is a free intake audit call. Verified 22 September 2026.
A specific entry price is published through independent channels and nothing above it is. Multiple independent software directories report a starting price of $80 per month, consistently across sources and with provider data stated as verified by their research teams, and one records that no free trial is available, which is a real commercial fact a buyer needs. An $80 entry point also places this at the accessible end of the category, well below the hybrid services and CRM platforms alongside it. What is absent: no tier structure, no unit of charge, no statement of what the entry price includes or what drives it up, and no indication of whether pricing scales by seats, conversations, leads or messaging volume, which for a product bundling chat, CRM and two way texting are materially different meters. Source basis recorded as Third Party Estimated because the figure comes from directory listings rather than a vendor pricing page located in this pass, and flagged as a correction candidate upward if one exists.
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.
The buyer is described with substance, short of limits. The site addresses law firms already investing in leads with a dedicated intake team, with tools for reps, intake managers, COOs, CMOs and managing partners, and its clients are plaintiff firms working across many states; its audit form covers personal injury, workers' compensation, mass torts, medical malpractice, disability, employment, consumer, criminal defense and immigration practices. What firms or matters it is not suited to is not stated. Verified 22 September 2026.
Practice coverage is claimed by volume and characterised by nothing else. The strongest statement is the prompt library: more than 1,400 custom prompts with pre built scripts for different legal practice areas, which is a quantified claim about breadth and implies the product ships with matter specific qualification logic rather than requiring a firm to author it. That is genuine coverage substance and is credited. What is absent is every boundary: no practice area is named, so a firm cannot tell whether its own is among those scripted, no jurisdiction is stated, and firm coverage is described only as law firms of all sizes, which is a claim that excludes nobody and therefore characterises nothing. Compare Lawmatics at B in this category, which names five practice areas and states both a floor and a ceiling on firm size. A number without a list is a scale claim rather than a coverage statement.
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?
Checked the home, Product and Company pages and the website privacy notice on 22 September 2026, and tried the /terms address. No customer agreement is published, and no page states a position on training models with prospect or client data.
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?
Checked the home, Product and Company pages and the website privacy notice on 22 September 2026. Nothing states how long call recordings, transcripts, texts or AI summaries are kept.
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?
Checked the Product page on 22 September 2026. Nothing addresses separating matters or users within a firm's intake workspace.
Not addressed. No permission model, access restriction or segregation description was located. The prospective client conflicts question that runs through this category applies unchanged: the chat captures a person's account of their legal problem and creates a lead record before any conflicts check, and nothing describes whether that record is quarantined, restricted within the firm, or immediately visible to whoever is working the queue.
No conflict checking feature is named on this product, unlike Lawmatics which names one and Perspective AI which describes capturing the details a check needs and routing to staff to confirm. Nothing addresses segregation between customers either. 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?
Checked the home, Product and Company pages and the website privacy notice on 22 September 2026. No term or policy addresses court or government 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?
Checked the Product page on 22 September 2026. Guidance follows each firm's own qualification rules and playbooks; no legal corpus is identified.
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?
Checked the Product page on 22 September 2026. The product does not cite legal authority, and nothing addresses checking authority for later treatment.
Not addressed, and inapplicable on the facts. Intaker conducts intake chat, manages leads and sends follow up communications, and produces no legal research or citation to authority, so there is nothing for a citator to check. Recorded as a scope fact rather than a disclosure failure, consistent with the treatment on Gideon, Smith.ai, Lawmatics and Perspective AI in this category. LawDroid remains the only record in this category where the signal is live. 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?
The Product page says qualification support gives the rep either a clear answer on whether the firm can take a case or a clear reason to send it for attorney review, under rules the firm defines. No published evaluation shows how reliably this happens.
Not addressed, and the scripted architecture makes the unanswered case specific rather than general. A chat running on more than 1,400 authored prompts will meet inquiries that match none of them, and nothing published describes what happens then: whether the system says it cannot help, offers a human, falls back to a generic response, or selects the nearest prompt and answers something adjacent to the question. Language detection compounds it, since a misdetected language produces a response in the wrong one and nothing states whether low confidence detection is handled differently.
The one mechanism that partially answers this is graded on the Autonomy axis rather than here: Live Call Connect lets a conversation escalate to a phone transfer, which is a route out of a stuck exchange, and nothing states 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?
Searched the AI Hallucination Cases database maintained by Damien Charlotin on 22 September 2026 for Caseflood, and no recorded case was returned. No court order, opinion or disciplinary record naming the product was located. This is a statement about the public record rather than a finding about the product.
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?
Checked the home, Product and Company pages on 22 September 2026. No material engages with lawyers' professional obligations around AI-assisted intake, solicitation or client communication, or names any ethics opinion.
Not addressed. No named ethics opinion, no ABA Formal Opinion 512, no state bar guidance and no engagement with professional conduct rules was located, despite the vendor publishing a blog aimed at law firms comparing chat options and advising on intake practice. Two aspects of this product engage professional rules directly and neither is addressed: automated outbound email and text follow up to prospective clients falls under lawyer advertising and solicitation rules that vary materially by state, and the video component presents a named attorney inside an automated conversation, which engages rules on communications about a lawyer's services.
Sixth of six records in this category at this value, unbroken with one name remaining. 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 site promises millions to tens of millions in additional attorney fee revenue from better intake and cites cases signed per month. Nothing addresses how the service's cost relates to client fees.
Outside the fee relationship: the product operates before an engagement exists, and the savings claim is kept here, framed as revenue rather than cost. The vendor's stated purpose for its workflow sequences and automation tools is to help law firms maximize revenue, and the positioning throughout is signing more cases with less effort and improving lead conversion, with independent directory material noting that buyers evaluate total cost on lead conversion efficiency and automation depth rather than on subscription price.
Those are claims about firm revenue with no figure, methodology or baseline attached, and no customer outcome number was located. Nothing appears on the client's side of the equation: no position on whether an automated intake exchange or an outbound follow up sequence is disclosed to the prospective client as machine generated, and no record showing which portion 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?
Checked the home, Product and Company pages and the website privacy notice on 22 September 2026. No subprocessor or model provider list and no client-facing disclosure material was located.
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 and no destination to point a client toward. The gap extends past the model layer here: 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 identified anywhere.
Sixth of six records in this category at this value. 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?
Checked the Product page on 22 September 2026. The product supports intake calls rather than court filings, and nothing addresses recording or disclosing AI use.
Not addressed. Nothing indicates that output records which model produced it, no human verification record is captured, and no export or audit artifact was located. The platform does retain substantial raw material by design, with customer history and interaction tracking named as capabilities and chat transcripts and text threads held in the CRM, so the evidence of what was said exists in principle. What is absent is any statement that it is producible as a record, or that it distinguishes an automated response from a human one, which on this product is the load bearing distinction: the video component and Live Call Connect mean a single conversation can contain automated prompts, a recorded attorney video and a live human call, and nothing describes a record showing which was which. The forum in this category is a bar complaint, a fee dispute or a malpractice claim rather than a filing.
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
- 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
- Bar Guidance Alignment
- Outside Counsel Guideline Readiness
- Court Disclosure Support
Which one fits
Choose Caseflood if
- You want your own intake reps to keep every conversation. Caseflood's reps hold each call and text exchange while its AI handles predictive dialing, immediate response to new leads, real time call guidance, case capture against your qualification rules and call wrap ups.
- You want results from firms like yours before you commit. Caseflood names Schuerger Shunnarah Trial Attorneys, reporting about 300 more cases signed a month, and Lawrence & Associates, reporting a rise from 60 to 140 cases a month, both labeled as client reported.
- You want help fixing the intake operation, not just software. Caseflood configures the platform with the firm, sells it with an advisory engagement to diagnose and improve intake and marketing over the following months, and serves firms already investing in leads with a dedicated intake team.
Choose Intaker if
- You want prospective clients qualified on your website around the clock. Intaker's chat pre qualifies leads using more than 1,400 authored prompts with scripts for different practice areas, with language detection and automated follow up by email and text.
- You want a person to take over while the prospect is still engaged. Intaker's Live Call Connect converts a chat lead into a real time phone transfer to the firm, and attorneys can record intro and outro videos that play inside the chat.
- Your firm runs Clio or Filevine. Intaker names integrations with Clio, Filevine, Salesforce, Calendly, Google Analytics and Google My Business, covering case systems, scheduling and local listing attribution, though it documents none of them in depth.
In summary
Caseflood
Caseflood is an AI intake platform, sold with an advisory engagement, for plaintiff and consumer law firms that run their own intake teams. The firm's reps handle every conversation in Caseflood's workspace while its AI dials, texts new leads, guides calls in real time, captures case details against the firm's qualification rules and writes call wrap ups, and leaders get call level evidence and coaching tools. The AI Legal Index grades it in the top two bands on four of fifteen capability axes. It names two client firms with results they report and is backed by Y Combinator. As of 22 September 2026 the index located no customer agreement, security attestation, model provider or price.
Intaker
Intaker, from Intaker, Inc., is a conversational intake and legal client relationship management platform for law firms, built around a website chat that pre qualifies leads around the clock using more than 1,400 authored prompts with scripts for different practice areas. Attorneys can record intro and outro videos that play inside the chat, and Live Call Connect turns a chat lead into a live phone transfer to the firm. The platform adds lead tracking, two way texting, automated follow up and reporting. The AI Legal Index grades it in the top two bands on two of fifteen capability axes. It names integrations with Clio, Filevine and Salesforce. As of 29 August 2026 the index located no privacy policy, security attestation, model provider or named customer.
Questions buyers ask
Caseflood vs Intaker: which is better for a personal injury firm's intake?
The grid barely separates them: Caseflood sits in the top two bands on four of fifteen AI Legal Index capability axes and Intaker on two of fifteen, identical on nine. Caseflood supports a firm's own intake reps on calls and names client firms with results. Intaker qualifies prospects in a website chat and hands them to a person by phone. Firms without an intake team have more to read from Intaker.
Does Intaker's chat tell visitors they are talking to software?
Nothing Intaker publishes says so. Its chat qualifies prospective clients from authored prompts before any lawyer is involved, and an attorney's recorded video can play inside the same conversation, but no statement discloses whether a visitor is talking to software or a person, or says the chat gives no legal advice. Caseflood's reps hold its conversations, and it publishes no advice line either. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 26, 2026. No vendor pays for placement.
What results does Caseflood report?
Caseflood names two client firms. Schuerger Shunnarah Trial Attorneys reports about 300 more cases signed a month and 50 fewer lost after signing, and Lawrence & Associates reports a rise from 60 to 140 cases signed a month with speed to lead cut from about ten minutes to two seconds. Caseflood labels these as client reported; they are undated and carry no stated method. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 26, 2026. No vendor pays for placement.
How much do Caseflood and Intaker cost?
Neither vendor publishes a price on the pages read. Independent software directories report that Intaker starts at $80 a month with no free trial, which is a third party figure rather than vendor disclosure. Caseflood publishes no price, unit or tier, its pricing address returns a missing page error, and every route in is a free intake audit call. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 26, 2026. No vendor pays for placement.
What do Caseflood and Intaker both leave unpublished?
Nearly everything a firm would ask about client data. Neither publishes a customer agreement, a security attestation, a hosting location or a model provider, and neither states whether prospect conversations train its models or how long recordings, texts and transcripts are kept. Neither addresses whether its qualification treats callers evenly, or engages bar rules on solicitation and client communication. Graded by AI Legal Index against 15 capability axes and 12 legal signals, including privilege handling and citation accuracy, from each vendor's own published materials, verified September 26, 2026. No vendor pays for placement.
Three readings to weigh. Both records are thin because both vendors publish little: Caseflood's terms, security and pricing addresses return missing page errors, and no privacy policy, terms or security page was located for Intaker, so low grades record what is published, not a judgment that controls are weak. Caseflood's customer results are reported by the clients themselves, undated and without a method. Intaker's $80 a month starting price comes from independent software directories, not from the vendor. Caseflood was verified on 22 September 2026 and Intaker on 29 August 2026. Neither vendor reviewed this page.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything above comes from public material on the dates shown. How the index grades.