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Lawmatics

Lawmatics 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 previously founded MyCase. Its intake forms embed on a firm's website and feed automated workflows, alongside lead and contact management, scheduling with round robin assignment, electronic signature, document and retainer generation from templates, task management and conflict checking.

Marketing automation covers email and SMS drip campaigns, and attribution reporting shows which advertising channels and referral sources produce signed clients. QualifyAI, sold as a paid add on with credit bundles, scores incoming leads against firm criteria including practice area fit, case value and geography, and routes them. Integrations include two way sync with Clio Manage and MyCase, Microsoft 365, Google Workspace, Twilio, Zoom, QuickBooks, LawPay, Google Ads, Facebook Ads, Zapier, Make and a REST API on the Enterprise plan.

Essential, Premium and Enterprise plans are priced per user with a three user minimum and annual contracts; the vendor publishes no figures. The stated target is firms of roughly three to fifty attorneys in personal injury, family, criminal defense, immigration and estate planning.

Compared with

Lawmatics, 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.

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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.

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

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.

A CRM and marketing automation platform with AI sold as a metered add on. Lawmatics was founded in 2017, and its core is intake forms, pipeline management, drip campaigns, document generation, scheduling, conflict checking and attribution reporting, all workflow automation that works without generative AI. QualifyAI is the model layer, and it is not bundled: independent review says it is an add on with separately priced credit bundles, available on higher tiers and not on the entry plan. A capability a customer can decline, and that the entry plan does not include, is not what the platform is.

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

Citation Accuracy and Hallucination Disclosure

Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.

Nothing published. QualifyAI produces a score and a qualification decision rather than prose, so there is no citation to ground, but its accuracy can be tested: it scores inquiries on case fit and conversion likelihood, and whether those scores predict outcomes can be measured against the firm's conversion data, which the platform holds through its attribution reporting. No accuracy figure, calibration statement, precision or recall on qualification, false negative rate or evaluation is published.

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

Autonomy and Oversight Model

What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.

The oversight model is commercial rather than published. QualifyAI is an opt in paid add on metered by credits, so a firm decides whether automated qualification runs at all and how much of it runs. Its stated function is advisory: scores surface high value leads for attorney follow up, which prioritizes a person's attention rather than deciding in their place. Nothing is published about the mechanics. Independent review describes QualifyAI as routing leads and filtering noise, and nothing states whether a low scoring inquiry is deprioritized, hidden, answered automatically or discarded. No threshold, override or review path is described, so a firm cannot tell what happens to the leads the model rejects.

Source: Vendor Published
CC on Operational and Outcome EvidenceCustomer logos and unattributed testimonials stand in for evidence, or results are quoted with no basis stated.

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.

A deep independent review base and no customer evidence from the vendor. At least six independent review and comparison publications assess the product, several with dated 2026 coverage, and they agree on the three user minimum, annual contracts, the add on structure of QualifyAI and Time and Billing, and its position against Clio Grow. One independent assessment calls QualifyAI useful for filtering noisy inquiries, a reviewer's judgment rather than a vendor claim.

Company facts can be checked: founded in 2017, with a cofounder who previously founded MyCase. No law firm customer is named in any located material, and no case study, usage figure or outcome claim with a figure was found. The vendor sells attribution reporting that measures which marketing produces signed clients, and publishes no such figures of its own.

Source: Third Party Estimated
DD on Privilege and Confidentiality PostureNothing published on how client confidences are handled by a product built to ingest them.

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. One product feature makes the omission stand out rather than blend in: advanced conflict checking is offered on the Premium tier, which means the vendor has built a feature addressing one professional obligation attaching to intake data while saying nothing about the confidentiality obligation attaching to the same data.

A conflict check requires holding and comparing prospective client information across a firm's whole contact base, which is precisely the material whose handling is unaddressed.

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

UPL and Professional Responsibility Posture

Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.

Not located. The platform runs automated intake through forms and drip sequences, and QualifyAI assesses whether an inquiry fits a firm's practice area, case value and geography criteria, which decides whether this firm will take a person's legal problem. Nothing published says that automated messages or scoring output are not legal advice, addresses what a follow up sequence may say to a prospective client, or engages any professional conduct framework.

No conversational agent answers substantive questions here, so the exposure arises from automated messaging and qualification rather than advice.

Source: Operator Verified
DD on AI Governance and Bias DisclosureNo governance position published for a system whose output affects legal outcomes.

AI Governance and Bias Disclosure

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

Nothing published. QualifyAI scores inquiries on case fit and conversion likelihood using intake form responses and prior engagement signals, and two of its stated criteria are geography and case value. Case value scoring directs attorney attention toward inquiries expected to be worth more, in practice areas such as personal injury, family law, criminal defense and immigration. No AI policy, model card, bias or fairness testing, evaluation method, accuracy monitoring, drift statement, governance body, ISO 42001 or EU AI Act position is published.

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

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 is published. Nothing states whether intake form responses, engagement signals, contact records or conversion outcomes are used to train or improve QualifyAI, no retention period is published, and no deletion right is described. QualifyAI is said to score on conversion likelihood using prior engagement signals, and nothing published says whether any learning from outcomes is limited to the individual firm or pooled across the vendor's customers. A firm cannot tell which it is buying.

Source: Operator Verified
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.

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 is published on liability for AI output, warranty, service levels or remedy. A wrongly scored inquiry may be deprioritized or filtered, the prospective client contacted late or not at all, and the error never seen by anyone. The platform holds the attribution and conversion data that could reveal systematic scoring failure, and nothing indicates that data is used to audit the model or shown to the customer for that purpose.

Automated drip sequences also send messages to prospective clients on the firm's behalf, and nothing addresses responsibility for what they say or for messaging errors.

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

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.

A fully listed integration set, spanning practice management, communications, payments, accounting, advertising and developer access. Named: two way sync with Clio Manage and MyCase, Microsoft 365 and Google Workspace for email and calendar, Twilio for SMS and call tracking, Zoom for video consultations, QuickBooks on higher tiers, LawPay, Google Ads and Facebook Ads for source attribution, Zapier and Make, and a REST API on the Enterprise tier.

Independent review describes a completed workflow: converting a prospect creates a matter in Clio with contact information, intake notes and documents synced, removing duplicate entry. The advertising integrations close the loop from ad spend to signed client. The REST API is limited to the Enterprise plan, and no API documentation is published.

Source: Vendor Published
DD on Deployment Model and Data ResidencyNothing published on where the software runs or where client data sits.

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 residency commitment is published, and no deployment options are described. The product is built for US law firms, and it holds prospective client contact data, intake responses and communications for firms whose own state privacy duties attach to that material. Named integrations route data through Twilio, Google, Microsoft and the advertising platforms, with no published statement of where any of it sits.

Source: Operator Verified
DD on Security Certifications and Trust CenterNo independent security attestation located.

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 report of either type, ISO 27001 certificate, named auditor, penetration testing partner or encryption statement was found on the pages read, and there is no gated route to one. The platform holds a firm's whole prospective client database and runs its client communications through named third party processors.

Source: Operator Verified
DD on Model Supply Chain DisclosureNothing published about the model supply chain a customer inherits.

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 for QualifyAI, no distinction is drawn between proprietary and third party models, and no subprocessor list was found. The absence is notable against the vendor's otherwise detailed integration disclosure: Twilio, Zoom, QuickBooks, LawPay, Google and Microsoft are all named as parties in the data path, so the vendor evidently does name third parties when it chooses to, and names none for the component that processes prospective client information to produce a score. A firm can determine who carries its text messages and cannot determine what evaluates its prospective clients.

Source: Operator Verified
CC on Commercial TransparencyPricing is gated behind a demo request while tier names and feature splits are published, so the shape is visible and the number is not.

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.

The structure is disclosed in detail, and the vendor publishes no figure. Independent sources agree on three tiers, Essential, Premium and Enterprise, priced per user with a three user minimum and annual contracts. QualifyAI is an add on with separately priced credit bundles, Time and Billing is a further add on, and SMS and MMS are metered by usage. Features are gated by tier: QualifyAI is not on the entry plan and the REST API is limited to Enterprise.

A buyer knows the shape of the bill and what drives it up. Independent reconstructions of the price conflict, with one reporting plans at $199 and $299 a month and another reporting custom pricing throughout, so no authoritative published price exists. The source basis is third party estimates.

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

Firm and Practice Coverage

Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.

Coverage is characterized specifically, on both firm profile and practice area. Firm coverage has a floor and a ceiling: US firms of roughly three to fifty attorneys, with a hard three user minimum, and independent review says the product fits poorly below that volume and that larger firms usually run other platforms. Practice coverage names personal injury, family law, criminal defense, immigration and estate planning as strong fits, all practices with high inquiry volume, and practice area templates ship ready to use.

Jurisdiction is stated only as the United States, with no state level detail, although conflict checking and intake vary by state. Much of the practice area description comes from independent review rather than vendor material.

Source: Vendor Published
Sources on file

1 public document

The public pages on file for Lawmatics, 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.

What changed

Tracked changes at Lawmatics

Sep 20, 2026Pricing / packagingVerified

Merlin Copilot, the conversational assistant inside Lawmatics released in July, is now sold as Lite and Pro seat plans ($29 and $49 per seat per month per the Copilot help article) and gained new abilities: updating matter data through chat, answering firm wide aggregate data questions, finding where a merge field is used, and scheduled Routines that run a request on a timer and post the result to a Copilot thread.

Bears on: Commercial TransparencySource
Sep 20, 2026Product / capabilityVerified

Merlin Engage agents, which hold AI conversations with leads to collect information, qualify cases or book meetings, can now reach leads by email as well as text, with one channel set as primary and the other as a fallback. A new Collect Data Only agent type gathers chosen matter, contact and custom fields from a client without judging the lead, writes answers straight into matter fields, skips fields that already hold a value, and can hand off to another agent or a person when done.

Bears on: Autonomy and Oversight ModelSource

Legal Signals

What each signal means

A 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.

Confidentiality and Privilege

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Terms silent

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. QualifyAI is said to score inquiries on case fit and conversion likelihood, using intake form responses and prior engagement signals. Nothing published says whether any learning is limited to the individual firm or pooled across the vendor's customers, and no statement either way was located on whether contact records, intake responses or conversion outcomes are used to train or improve models. No retention or deletion position exists.

The people scored are prospective clients who are not the customer and cannot consent. Checked the product material, the QualifyAI descriptions, the pricing material and independent review on 29 August 2026.

Source: Operator Verifiedscores inquiries based on case-fit and conversion likelihoodAs of Aug 29, 2026Evidence

Prompt and Output Retention

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

Not addressed

No located public material states how long prompts and outputs are retained.

Not addressed. No retention period is published for intake form responses, contact records, communication history, QualifyAI scores or attribution data, and no deletion right is described. Retention is structural to the product rather than incidental: the platform is a CRM whose value depends on holding a firm's entire prospective and current client base over time, plan tiers are denominated in contact counts, and attribution reporting requires historical conversion data to persist.

Nothing states what happens to records of prospective clients who never became clients, or to the whole database on termination of an annual contract. Checked the product material, the pricing material and independent review on 29 Aug 2026.

Source: Operator VerifiedAs of Aug 29, 2026

Ethical Walls and Matter Segregation

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

Claimed, not documented

Segregation is asserted in public materials with no published detail on how it is enforced.

Claimed and not documented. Advanced conflict checking is listed as a Premium feature, so a firm can at least check whether an inbound inquiry conflicts before going further. Nothing describes how it works: what the check runs against, whether it runs before or after an inquiry is routed and scored, whether intake data is held back pending the check, or whether access to prospective client records can be restricted within a firm.

Nothing addresses separation between customers. A feature named on a pricing page is a claim until its mechanics are published.

Source: Vendor PublishedAs of Aug 29, 2026

Third Party Request and Subpoena Notice

If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?

Not addressed

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 a firm's complete prospective and current client contact database together with intake responses and communication history, in named strong fit practice areas including criminal defense and immigration where a prospective client's own intake responses could be adverse to their interests if produced, and the data path additionally traverses named third parties including Twilio and the advertising platforms.

Nothing published addresses requests to the vendor or to any of them. Checked the product material, the integration listings, the pricing material and the site navigation on 29 Aug 2026.

Source: Operator VerifiedAs of Aug 29, 2026
Accuracy and Authority

Primary Law Corpus Provenance

Where does the law in this product come from, and does the vendor have the right to use it?

Not addressed

No located public material identifies the corpus behind the product’s answers.

Not addressed, and largely not applicable. The platform has no primary law collection: intake forms, workflows and campaigns are built by the firm, so the content is supplied by the customer. What remains is what QualifyAI was built on. Nothing published says whether it uses the individual firm's own history, data pooled across the vendor's customers, or outside data, or what practice areas, geographies or time period that data covers.

For a model that uses geography as an input, that data shapes what the score encodes. Checked the QualifyAI descriptions, the product material and independent review on 29 August 2026.

Source: Operator VerifiedAs of Aug 29, 2026

Good Law Verification

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

Not addressed

No located public material addresses whether authority is checked for subsequent history.

Not addressed, and not applicable. Lawmatics performs intake, CRM, marketing automation and document generation from templates the firm supplies, and produces no legal research or citation to authority, so there is nothing for a citator to check. Checked the product material and independent review on 29 August 2026.

Source: Operator VerifiedAs of Aug 29, 2026

Refusal and Uncertainty Behavior

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

Not addressed

No located public material addresses what the product does when it cannot ground an answer.

Not addressed, and the gap sits on the model's uncertain cases. QualifyAI returns a score, and nothing published describes what happens at the margin. Nothing says whether a borderline inquiry is flagged for human review rather than filtered, whether a confidence band comes with the score, or whether the model declines to score an inquiry with too little information. Nothing says whether a sparse intake form simply produces a low score that looks the same as a genuine poor fit.

Independent review describes the feature as filtering noise, which is the language of removal rather than of flagging uncertainty. Checked the QualifyAI descriptions, the product material and independent review on 29 August 2026.

Source: Operator VerifiedAs of Aug 29, 2026

Fabricated Citation Record

Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?

None located

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 bar complaint or claim arising from automated client communications, or a dispute over marketing messages sent to prospective clients under telephone and messaging regulation, neither of which a citation focused search would surface.

Source: Operator VerifiedAs of Aug 29, 2026
Professional Responsibility

Bar Guidance Alignment

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

Not addressed

No located public material engages with bar or ethics guidance.

Not addressed. No ethics opinion, ABA Formal Opinion 512, state bar guidance or professional conduct rule was located. Beyond AI, the platform runs automated marketing and drip campaigns to prospective clients for firms, and lawyer advertising and solicitation rules vary materially by state, while the vendor says it is built for US firms in all of them. No advertising rule is engaged. Checked the product material, the pricing material, the resource material and independent review on 29 August 2026.

Source: Operator VerifiedAs of Aug 29, 2026

Billing and Fee Posture

Does the vendor address what happens to the bill when the work takes an hour instead of six?

Not addressed

The product sits inside a lawyer to client fee relationship and no located public material addresses billing, fee or disclosure treatment, with no savings claim published either.

Not addressed. No time saving, conversion or return on investment figure was located in vendor material, so there is no savings claim to record. Attribution reporting is a headline feature: the platform measures which marketing spend produces signed clients, so it holds the data that would show its own return, and none is published. Nothing appears on the client's side either: no position on whether the platform or QualifyAI credits are treated as overhead or recovered, and no record of which part of an intake interaction was automated. Checked the product material, the pricing material and independent review on 29 August 2026.

Source: Operator VerifiedAs of Aug 29, 2026

Outside Counsel Guideline Readiness

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

Not addressed

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 route to request documents was located, so a firm has nothing to forward. Named third parties, including Twilio, Google, Microsoft, Zoom, QuickBooks and the advertising platforms, sit in the data path, and a firm asked who processes its client data would have to piece the answer together from an integrations page. Checked the product material, the integration listings, the pricing material and the site navigation on 29 August 2026.

Source: Operator VerifiedAs of Aug 29, 2026

Court Disclosure Support

If a judge’s standing order requires an AI disclosure, can the product produce one?

Not addressed

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 artifact was located. The platform holds extensive records by design, including contact history, intake responses, message logs and attribution data, and nothing describes them as producible as evidence or as recording whether a qualification decision was made by QualifyAI or a person.

Here the forum is a bar complaint, a fee dispute or a malpractice claim rather than a filing, and the record that would matter is which inquiries the system scored low and what became of them. No described export captures that. Checked the product material, the QualifyAI descriptions, the pricing material and independent review on 29 August 2026.

Source: Operator VerifiedAs of Aug 29, 2026
Contact

Correct a record, or ask how something was graded

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

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 430 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 14, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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