B
BriefCatch

BriefCatch is a legal writing and authority-verification suite for lawyers, judges and courts, available as a browser-based editor, a Microsoft Word add-in and an Outlook add-in, and working with documents held in Google Drive and OneDrive. Its core editing engine is rule-based, applying more than 12,000 rule sets and tens of thousands of suggestions for clarity, concision, flow and persuasiveness, scoring a document against those measures and producing narrative reports on its strengths and weaknesses, with in-app examples drawn from judges and advocates.

Three capabilities carry the AI. CiteCheck reviews and corrects citation formatting, running on rules alone or, with AI enabled, on rules combined with AI pattern recognition. BriefChat is a conversational writing adviser trained on the published work of founder Ross Guberman, and has access only to the user's prompts rather than to the document. RealityCheck, in general release since September 2026 and included in every plan, verifies authorities in two layers: deterministic lookups confirm that cited cases and federal statutes exist by cross-checking reporter volume, court identifiers and case names, and AI models then assess whether quoted language actually appears in the opinion and whether the authority supports the proposition it is cited for.

It flags altered quotations, incorrect pincites, misstated holdings, concurrences or dissents presented as majority reasoning, misused citation signals and authorities used outside their proper context, tells the user to verify manually any case it cannot confirm across three case-law sources, and scans for concealed text such as white-on-white type, formatting and zero-width characters. AI features are turned off by default and administrators can enable or disable them across an organisation.

The suite is sold to individuals, firms, government legal teams and courts, with named customers including Skadden, Wilson Sonsini, Nixon Peabody, Kellogg Hansen and Bartlit Beck, and a published Learning Hub of legal-writing courses taught by the founder. The company is LawCatch, Inc., trading as BriefCatch, based in Washington DC and contracting under Virginia law; it also publishes a client-alert product, ClientCatch. It acquired WordRake's patented editing technology and raised a Series A in 2026.

Vendor siteWashington, District of Columbia, United States
Last verifiedSeptember 13, 2026
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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.

BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

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.

The models are the engine of named capabilities layered on a product that functions fully without them, which is the B band, and the vendor draws the line more sharply than any other record in this corpus because the line is a switch. AI is off by default and, with it off, the suite runs entirely on its rule-based engine: more than 12,000 rule sets covering grammar, clarity, style and structure, document scoring and narrative reports, all of which the vendor states are unaffected by the AI toggle.

What the AI adds is three named things: BriefChat, a conversational writing adviser; the AI half of CiteCheck, which refines rule-based citation corrections with pattern recognition; and the second layer of RealityCheck, which assesses whether quoted language appears in an opinion and whether an authority supports the proposition cited. The first layer of RealityCheck is itself deterministic, verifying that a case or federal statute exists by cross-checking reporter volume, court identifiers and case names against authoritative databases.

So even the flagship verification feature is only half model-driven. RealityCheck became standard on every plan in September 2026 and is metered in AI credits, which makes the AI a paid, quantified component rather than a background one, and that is what holds this at B rather than lower. Recorded under ground rules section 3 and applied throughout this record per R126: what this product is for is catching other people's AI errors, and that purpose is not evidence about its own models. Verified 13 September 2026.

Source: Vendor Published
BB on Citation Accuracy and Hallucination DisclosureGrounding is real and documented, with linked primary sources and a described retrieval method, short of published accuracy figures an outsider can test.

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.

Grounding is real and documented with a described retrieval method and linked primary sources, short of a testable accuracy figure for the vendor's own output, which is the B band. The retrieval method is described in more detail than anywhere else in this lane and is genuinely two-stage. Deterministic lookups first confirm that a cited case or federal statute exists, cross-checking reporter volume, court identifiers and case names against authoritative legal databases to catch phantom or misidentified authorities.

AI models then read the opinion and assess whether the quoted language appears in it and whether the authority supports the proposition. Outputs resolve to three states, correct, needing attention, or unverifiable, and every finding points back to the authority it concerns. What is absent is measurement of BriefCatch's own accuracy. No precision or recall figure, no test set, no false-positive or false-negative rate and no third-party evaluation is published for RealityCheck, CiteCheck or BriefChat.

The agreement runs the other way, clause 8.2 of the Master Terms stating that the company does not guarantee that any output is correct, complete or current and that all output should be reviewed before use. Recorded and expressly not credited under R126: the long enumerated list of defects RealityCheck detects, from altered quotations to dissents presented as majority holdings, is a catalogue of other people's failure modes, not a disclosure of this product's own, and the A band asks for the latter.

A reported test on a Fifth Circuit brief in Fletcher v. Experian is trade-press sourced, not first-party, and is not graded. Verified 13 September 2026.

Source: Vendor Published
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

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.

A written commitment that the models work alongside the user with real review surfaces, short of the full control structure, which is the B band. The oversight here is unusually concrete for a drafting tool. Every suggestion arrives as an individual card the user accepts or rejects, so nothing changes a document without a human act. RealityCheck resolves to three states rather than two, separating what it confirms from what needs attention and what it cannot verify, which keeps the unresolved cases visible rather than silently passing them.

And the position is contractual as well as behavioural: clause 8.2 of the Master Terms requires that all output be reviewed prior to use to verify accuracy and suitability, and clause 8.5 goes further, prohibiting the customer from relying on the output as legal advice. What the A band asks for is not published, and one limb of it does not bite. There is no threshold at which the system acts alone because the system never acts alone: it is a suggestion engine inside a document the user controls, so under R15 that limb is inapplicable rather than failed and is recorded as such.

The limbs that do bite and fail are the absence of any published account of what happens after an output is found wrong, and the absence of any statement of when the AI half of CiteCheck overrides or defers to the rules engine. The default-off AI switch and its administrator control are real and substantial, and under ground rules section 3 they are spent once, on AI Governance and Deployment, not again here. Verified 13 September 2026.

Source: Vendor Published
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

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.

Real deployment evidence with substance, short of joining the names to the figures, which is the B band. The naming is strong and is concentrated where it matters for this product: the customers displayed on the pricing page are litigation firms of the first rank, being Skadden, Wilson Sonsini, Nixon Peabody, Kellogg Hansen and Bartlit Beck, which for a brief-writing tool is the relevant proof. Scale is published at more than 25,000 lawyers using the product and 40 of the Am Law 200, and the estate states adoption by state and federal courts, which is a distinctive second constituency and is corroborated by dedicated solution pages for courts and for government.

A Microsoft AppSource rating of 4.9 is published, which is third-party attested even if the vendor reports it. What holds this off A is the familiar split. The named customers carry no figures, and the figure that exists, more than 50 per cent of editing time saved, is unattributed, undated and carries no method. Nothing states how that was measured, against what baseline, or across how many documents. A Case Studies section exists in the site navigation and was not opened; under R25 it corroborates a grade that stands on the customer wall and the published scale, and it is precisely what would move this row if any story joins a named firm to a measured result with a stated basis. Verified 13 September 2026.

Source: Vendor Published
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

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.

Substantive published commitments across most limbs, defeated on two, which is the B band. The commitments are unusually strong and several are contractual rather than promotional. Retention is zero and is written into the agreement: clause 7.2 of the Master Terms records that the company does not store or otherwise retain Customer Content, so there is nothing to retrieve on termination, and the Trust Center adds that document text is processed in RAM only and promptly cleared.

Training is excluded in express terms across several surfaces. Architecture supports both claims: documents never leave the local Word environment unless the user enables AI citation review or BriefChat, and BriefChat has access only to the user's prompts and never to the document or email. Customer Content is defined as the customer's Proprietary Information under clause 5.1 and protected by a mutual confidentiality obligation, and clause 5.2 confirms the customer owns it.

Two limbs fail. Privilege and work product are not addressed by name anywhere located, which under R33 forecloses A on its own. And no model provider is identified, so nothing states what any third party sees. One conflict is recorded because it is the sharpest finding on this record and a buyer must weigh it: the EULA states that the products are not intended for processing confidential or personal data and that the user bears all risks related to data privacy and security, while the product FAQ states the opposite, that the product is safe for use on confidential client documents. Two published instruments in direct conflict on the central question. Verified 13 September 2026.

Source: Vendor Published
BB on UPL and Professional Responsibility PostureA real position is published on advice versus tooling, short of full treatment: commonly a disclaimer without the supervision and competence dimension, or silence on jurisdiction limits.

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.

A real published position on advice versus tooling, short of the supervision and competence dimension, which is the B band and among the strongest instances of it in the corpus. The position is contractual and has two limbs rather than one. Clause 8.5 of the Master Terms provides that the customer shall not rely on the services or their suggestions and outputs as legal advice, and shall not communicate or claim to any third party that any part of the services or their outputs is legal advice.

The second limb is rare: most vendors tell the customer not to rely on the output, and almost none prohibit the customer from representing it to others as advice. Clause 8.6 adds that the services in no way provide legal advice nor create an attorney-client relationship. A third provision reaches the end audience, requiring that recipients of ClientCatch output be advised to consult a qualified attorney for advice tailored to their circumstances, which is a downstream disclosure instruction of a kind this corpus almost never sees.

What the A band requires is absent. Nothing addresses supervision or competence: no statement of who within a customer may use the AI features, what review a supervising lawyer should apply, or what training is expected. No rule of professional conduct or bar authority is named in any jurisdiction, and no jurisdictional limit is stated for a product whose citation checking is United States-specific. Verified 13 September 2026.

Source: Vendor Published
BB on AI Governance and Bias DisclosureA published governance framework with real substance, short of testing results or a named owner.

AI Governance and Bias Disclosure

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

A published governance position with a real mechanism behind it, short of testing results and a named owner, which is the B band, and the mechanism is what lifts it there. Under R126(4) the central fact is a shipped control rather than a usage policy: AI features are turned off by default, and administrators can enable or disable AI across an organisation from the user portal. A buyer therefore does not have to trust a commitment about how the AI behaves, because it can decline to run it at all, firm-wide, while continuing to use the rule-based engine unaffected.

That is a product capability, so R124(3), which was scoped to policies governing customer conduct, does not cap it. Default-off is rare enough in this corpus to be a finding in itself. Around it sits a dedicated AI Disclosure page, a stated principle that no more is sent than is necessary to produce a suggestion, an express account of what the models were and were not trained on, and a scope statement that the AI toggle affects only BriefChat and citation suggestions and leaves grammar, clarity and style entirely rule-based.

What the A band requires is missing. No individual, committee or function is named as accountable for model behaviour, no pre-release testing regime is described, and no evaluation result is disclosed. Bias is not addressed in any form, which matters on a product that scores writing against the styles of named judges and advocates. Verified 13 September 2026.

Source: Vendor Published
BB on AI Safety and Data StewardshipSubstantive published policy covering most of the ground, short of the full set: commonly no named subprocessor list or no stated incident practice.

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.

Substantive published policy covering most of the ground, short of the full set on subprocessors and incident practice, which is the B band and both of the gaps it names. What is published is strong. Retention is zero and contractual, clause 7.2 of the Master Terms recording that Customer Content is not stored or retained, with the Trust Center adding that document text is processed in RAM only and promptly cleared, which makes deletion moot rather than unaddressed.

Encryption is stated as AES-256 at rest and TLS 1.3 in transit. Access control is tiered and specific: two-factor authentication and Google authentication on every plan, with single sign-on, SCIM provisioning and role-based access management at enterprise. Resilience is addressed through redundancy, automated backups and a tested disaster recovery plan, and personnel controls through mandatory confidentiality agreements and annual security training.

One capability is named as a first for this corpus: RealityCheck scans documents for concealed text, including white-on-white type, formatting and zero-width characters. That is adversarial input handling, aimed at material planted to mislead a reader or a model, and nothing else in the corpus discloses it. Two limbs fail. No subprocessor list is published and no processor is named beyond Azure, which is infrastructure.

And no incident or breach notification commitment to customers was located, on an estate that otherwise documents itself carefully. Verified 13 September 2026.

Source: Vendor Published
BB on AI Liability and RecourseA real published position on liability, short of the full picture: commonly a stated indemnity without scope or caps.

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.

A real published position on liability, short of the full picture, and the most complete one located in this pull. The Master Terms are published in full and address every commercial limb a buyer would test. A warranty exists rather than being disclaimed outright: clause 8.1 commits the company to reasonable efforts consistent with prevailing industry standards to maintain the services so as to minimise errors and interruptions, and to perform in a professional and workmanlike manner, with advance written notice of scheduled disruption.

A vendor indemnity exists and is scoped: clause 9 requires the company to indemnify, defend and hold the customer harmless against third-party claims that the services infringe a United States patent or copyright or misappropriate a trade secret, with the company controlling the defence and, if the services are held infringing, obliged to replace them, obtain a licence, or terminate and refund prepaid unused fees. Liability is capped at fees paid in the preceding twelve months, and the cap is disapplied for gross negligence, wilful misconduct and breach of confidentiality, which is a customer-favourable carve-out set this corpus rarely sees.

A service level agreement is incorporated by reference and a 99.9 per cent uptime commitment is published at enterprise tier. What is absent keeps it off A: no warranty of any kind attaches to AI output, clauses 8.2 and 8.3 disclaiming responsibility for output and for anything based on it, no insurance position is published, and the indemnity does not reach a claim arising from a bad verification. Verified 13 September 2026.

Source: Vendor Published
BB on Practice Systems Integration DepthReal integrations exist and are documented, short of depth: named connections without a description of what they actually move.

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.

Real integrations exist and named connections are documented, short of the depth the A band describes, which is the B band. The integrations are into the systems this work actually happens in rather than into adjacent platforms. The suite runs as a Microsoft Word add-in, as an Outlook add-in at Pro and above, and as a browser-based editor, and it works on Word documents held in Google Drive and OneDrive, so a user does not leave the drafting surface.

Distribution is through Microsoft AppSource with a Microsoft 365 App Certification listing published, which is third-party verified surface area. Identity integration is documented and tier-gated with specifics: two-factor and Google authentication on every plan, single sign-on and SCIM provisioning for automatic account creation, update and deactivation at enterprise. Learning content integrates into a customer's own learning management system using the SCORM standard, which is an unusual and concrete integration for a legal tool.

What the A band asks for and is not established is depth on the one integration a firm would press hardest: document management system connections are listed as an enterprise feature and described generically as connecting to supported systems for document access and workflow, and not one document management system is named, no direction of flow is described, and no configuration prerequisite is stated. The features page was not opened and, with the supported-DMS list, is what would move this row. Verified 13 September 2026.

Source: Vendor Published
BB on Deployment Model and Data ResidencyDeployment model is stated clearly with partial residency detail, or residency is offered without the processing location being addressed, or the tenancy model is stated on its own with no residency detail published.

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.

Region is stated and the tenancy model is not, which under R38 is B because tenancy and region are co-equal limbs and publishing either clears C. Region is answered plainly and restrictively, the Trust Center stating that the service runs across Azure services at United States geo-located systems only. For a buyer with United States requirements that is a direct answer; for one outside the United States it is equally informative in the other direction, and the record should be read that way rather than as a gap.

Delivery is published as a browser-based application, a Word add-in and an Outlook add-in, with distribution through Microsoft AppSource or direct installation, and the vendor states it supports enterprise security configurations and provides a security and privacy white paper for IT review on request. Under R126(4) one further fact is credited here and is a genuine deployment property rather than a policy: **AI is off by default and documents never leave the local Microsoft Word environment unless the user enables AI citation review or BriefChat**, so in its default configuration the product processes text locally and sends nothing.

That is the strongest form of data residency there is, and it is a shipped state rather than a promise. What is not published is tenancy. Nothing states whether accounts sit in a shared or isolated environment, and no private or on-premises option is offered or refused. Verified 13 September 2026.

Source: Vendor Published
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

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.

Certification is real and stated and a trust centre exists, short of accessible evidence, which is the B band. What is published is genuine: a public Trust Center reachable without a sales call or a form, stating SOC 2 certification and setting out encryption at AES-256 and TLS 1.3, a tested disaster recovery plan, cloud firewalls, intrusion detection and continuous logging, and human controls including mandatory confidentiality agreements and annual security training.

The pricing comparison table lists SOC 2 Type II compliance as a feature available on every tier, which is a more specific claim than the Trust Center headline. Three things keep it from A. No report, certificate, audit period or auditor is obtainable or named, so a buyer can read the claim and not the evidence. No scope statement identifies which systems or products sit inside the audit boundary. And the estate contradicts itself on the type: the pricing page and its FAQ state SOC 2 Type II, while the BriefCatch 3 support FAQ, still live, states the company is SOC 2 Type 1 compliant.

Those are materially different attestations, Type 1 testing design at a point in time and Type II testing operating effectiveness over a period, and the discrepancy is named here rather than resolved because nothing published resolves it. Recorded and expressly not credited under ground rules section 3: the ISO 27001, PCI DSS Level 1 and SOC 2 compliance referred to on the Trust Center attaches to the Azure services the product runs on, which is the infrastructure provider's attestation and not this vendor's. Verified 13 September 2026.

Source: Vendor Published
CC on Model Supply Chain DisclosureThe vendor refers to advanced or proprietary models without identifying what sits underneath.

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.

The vendor refers to AI models without identifying what sits underneath, which is the C band, and the note sets out precisely which link in the chain is named and which is not because R126 asked for it. What is disclosed is real but sits either side of the models. Upstream, the training basis is described: models are stated to be trained exclusively on proprietary, licensed or publicly available non-customer data, and the pricing FAQ characterises that as real filings, real judicial opinions and decades of legal-writing expertise rather than scraped internet data, with BriefChat trained on the founder's published writing corpus.

Downstream, RealityCheck's deterministic layer is said to check against authoritative legal databases. Between them, nothing. No model is named, no version, no provider, and no distinction is drawn between models the company built and models it licenses. One phrase implies third parties without identifying them: the pricing FAQ states that customer documents are never used to train shared AI models or to improve third-party AI services, which concedes third-party AI services are in the chain while naming none of them.

Recorded and expressly not credited on two grounds. Azure is named as the hosting environment, which is infrastructure rather than a model supplier under ground rules section 3. And trade-press reporting of the RealityCheck launch attributes its citation-verification infrastructure to a supplier named Counsel Stack; that supplier appears nowhere on the vendor's own estate, including the Master Terms and the Trust Center, so under ground rules section 2 it is not first-party and is not credited. Verified 13 September 2026.

Source: Vendor Published
AA on Commercial TransparencyA buyer can learn what this costs without entering a sales process: published rates, the unit being charged, and what implementation adds.

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 buyer can learn what this costs without entering a sales process, which is the A band. Two of three tiers carry published per-seat rates: Individual at 60 dollars per seat per month billed annually for a single seat, and Pro at 75 dollars per seat per month billed annually with a five-seat minimum, with Enterprise custom above twenty seats. The unit is stated twice over, because consumption is metered as well as seated: each tier includes a stated monthly allotment of AI credits, 650 on Individual and 700 on Pro, and the vendor publishes a worked conversion rate, stating that RealityCheck typically consumes about 70 credits to analyse a brief under 30 pages with fewer than 100 citations.

That lets a buyer estimate throughput before purchase, which is more than a rate card usually gives. The mechanics around it are published too: credits reset monthly and do not roll over, additional packs can be bought at any time and remain valid for a year, annual billing is discounted against monthly, and plans and seats can be changed with credits and settings carrying over. A full feature comparison table sets out what each tier includes across core access, AI limits, learning, security and administration.

Purchase is self-serve with a seven-day trial and no credit card. Two limits are named: enterprise pricing is withheld, and the get-started page carries a different structure, a Solo tier at 599 dollars per year, which does not reconcile with the canonical pricing page. Verified 13 September 2026.

Source: Vendor Published
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 described with real substance across buyer types, with the boundaries left open, which is the B band. The segmentation is published as three dedicated solution pages, for law firms, for government and for courts, and the third is what makes this record unusual in the corpus: the bench is addressed as a buyer in its own right, with the product sold to courts to run over filings they receive, and the estate states adoption by state and federal courts.

Beyond that, the tier structure itself describes the range, running from a single seat for an individual lawyer or clerk, through a five-seat minimum for a practice group, to twenty or more for an enterprise, and the vendor states subscriptions are available to solo practitioners, law students, educators, law firms, universities, corporations and government agencies. Named customers evidence the litigation end concretely, with Skadden, Wilson Sonsini, Nixon Peabody, Kellogg Hansen and Bartlit Beck displayed on the pricing page.

What is left open is every limit. No practice area is named as better or worse served, no jurisdiction is stated, and that omission has bite here rather than being formal: citation verification is described against United States reporters and federal statutes and the writing rules derive from United States judicial practice, so the product is jurisdictionally bounded in fact while saying so nowhere. Nothing states which document types beyond briefs, memos and emails are supported. Verified 13 September 2026.

Source: Vendor Published
Sources on file

6 public documents

The public pages on file for BriefCatch, 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.

Pricing

No published figure

  • BriefCatch publishes what it costs, and unusually it also publishes how much of it you will use up.
  • There are three plans, all billed annually. Individual is $60 per seat per month and covers one seat. Pro is $75 per seat per month with a minimum of five seats, and adds the Outlook add-in, the full Learning Hub catalogue and more AI allowance. Enterprise is custom-priced and starts at twenty seats, adding single sign-on, SCIM user provisioning, role-based access controls, document management system integrations, a dedicated customer success manager, 24/7 support and a 99.9% uptime commitment.
  • You can start without talking to anyone: a seven-day free trial needs only an email, Google or Microsoft account, and no credit card.
  • The part worth understanding before you buy is AI credits. The AI features, principally RealityCheck citation verification, consume credits from a monthly allowance — 650 on Individual, 700 on Pro, custom on Enterprise. BriefCatch publishes a rough conversion: checking a brief under 30 pages with fewer than 100 citations typically uses about 70 credits. So an Individual seat is good for roughly nine such briefs a month.
  • Credits reset monthly and do not roll over, so an unused month is lost. You can buy extra credit packs at any time and those stay valid for a year. Annual billing is discounted against monthly, larger teams get volume pricing, and you can change plans or add seats later with your credits and settings carrying across.
  • One thing to watch: a separate page on the same site still advertises a $599-a-year Solo plan. That is the older packaging from before the September 2026 relaunch, not a fourth option.

Published per-seat rates for two of three tiers with a published consumption unit. Individual: 60 dollars per seat per month, billed annually, up to one seat, 650 AI credits per seat per month. Pro: 75 dollars per seat per month, billed annually, minimum five seats, 700 AI credits per seat per month, adding the Outlook add-in, the full online Learning Hub catalogue and an organisation-level licence. Enterprise: custom price, billed annually, twenty seats or more, custom credits, adding AI credit management with shared credit pools, single sign-on, SCIM provisioning, advanced role-based access management, document management system integrations, LMS integration over SCORM, a dedicated customer success manager, 24/7 support and a 99.9 per cent uptime service level.

All tiers include the writing assistant, CiteCheck, BriefChat, RealityCheck, the web app, the Word add-in, two-factor and Google authentication and SOC 2 Type II compliance; the Learning Hub is capped at four courses per user per month on Individual. Consumption is metered and the rate is published: RealityCheck typically uses about 70 AI credits to analyse a brief under 30 pages with fewer than 100 citations. Included credits reset monthly and do not roll over; additional credit packs may be purchased at any time and remain valid for one year.

Annual billing is discounted against monthly and enterprise volume pricing is available. A seven-day free trial requires no credit card and can be started with an email, Google or Microsoft account. Plans and seats may be changed later with credits and settings carrying over. Term and renewal are governed by the Master Terms: twelve-month automatic renewal unless either party gives 30 days' notice, fees changeable on 30 days' notice at the end of a term, billing errors to be raised within 60 days, and 1.5 per cent monthly interest on overdue amounts.

Confidentiality and data terms: No business associate agreement or health-data tier is offered, and none would be expected: the product edits and verifies legal writing and, by contract and design, retains nothing. The data instruments that do exist are published in full and ungated. The BriefCatch Master Services Agreement covers confidentiality, with Customer Content defined as the customer's Proprietary Information under a mutual obligation, ownership confirmed to the customer, and clause 7.2 recording that the company does not store or otherwise retain Customer Content. Clause 11 requires appropriate physical, administrative and technical safeguards and commits the company at 11.2 to enter into a data processing agreement with the customer where data protection law requires one, so a DPA is available on request rather than published. A separate End User License Agreement and a Privacy Policy are published alongside, and a Service Level Agreement is incorporated into the Master Terms by reference. The Trust Center is public and ungated, stating SOC 2 certification, AES-256 encryption at rest, TLS 1.3 in transit, United States geo-located Azure hosting only, a tested disaster recovery plan, and mandatory confidentiality agreements and annual security training for personnel. Two cautions belong here. The estate states SOC 2 Type II on the pricing page and SOC 2 Type 1 on the still-live BriefCatch 3 support FAQ, and no report, audit period or auditor is obtainable. And the EULA states the products are not intended for processing confidential or personal data, which contradicts the product FAQ.

Note: Tier structure, rates, credit mechanics and the full feature comparison read live from the canonical pricing page on 13 September 2026, together with the Master Services Agreement and Trust Center. entryPriceUsd is 60, the published Individual rate per seat per month billed annually, following the corpus convention of recording the stated figure in its stated cadence with the cadence carried in the display and basis fields. Two currency points are recorded under R122(3) and the R15 Pre/Dicta discrepancy rule, and the second was checked rather than assumed. First, the get-started page carries a different and simpler structure, a two-tier Solo and Enterprise split with Solo at 599 dollars per year, which corresponds to no cadence of the canonical rates and omits the AI credit system, the web app and RealityCheck from its trial description. On inspection it describes the pre-launch packaging rather than a live additional tier, so it is treated as a superseded surface and not as a fourth plan; it is named here because it is still reachable and a buyer may land on it first. Second, a search-indexed version of the canonical pricing URL still returns 42 dollars per month billed annually against 49 monthly, which is an older revision of the same page rather than a separate plan, and the live fetch governs. The 9 September 2026 launch, which opened self-serve purchase and moved RealityCheck to general availability on every plan, is the event both discrepancies sit either side of.

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?

Never, in policy only

A public policy or trust page states no training on customer content, with no matching term located in the published agreement.

Training on customer content is excluded in the vendor's published material in the most express terms located in this corpus, with no matching term in the agreement, which is this value. The statement appears on four separate surfaces and is unqualified: BriefCatch does not use customer document text to train models, develop AI features or improve system behaviour; all models are trained exclusively on proprietary, licensed or publicly available non-customer data; documents and data are never used to train shared AI models or to improve third-party AI services; and nothing written is ever used to improve or update the software.

Architecture corroborates it rather than leaving it as assertion. Documents never leave the local Word environment unless the user enables AI citation review or BriefChat, BriefChat receives only the prompt and never the document, and the Master Terms record contractually at clause 7.2 that Customer Content is not stored or retained at all, which makes training on it impracticable as well as prohibited. R43(1) was run and the agreement was read in full.

One clause was examined closely and does not carry the value to a contractual tier, and it is recorded here because a buyer should weigh it: clause 5.6 permits the company to collect and analyse data relating to the provision, use and performance of the services, including information concerning Customer Content and data derived from it, to improve and enhance the services, and to disclose that data in aggregate or de-identified form.

Applying R28's test, the clause does not name training, fine-tuning or machine learning, and the same agreement states Customer Content is never stored. Decided, not escalated.

Source: Vendor Publishedno user-generated content is ever used for machine learning, fine-tuning, or AI trainingAs of Sep 13, 2026Evidence

Prompt and Output Retention

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

Not recorded

This signal has not been recorded for this vendor yet. It is not a finding either way.

Nothing is retained, and the commitment is contractual rather than promotional, which is this value and the strongest instance of it located in this corpus. The Master Terms put it in the operative part of the agreement rather than in a policy: clause 7.2 records that the company does not store or otherwise retain Customer Content, and draws the consequence expressly, that there is therefore no Customer Content to provide for electronic retrieval on termination.

A vendor that writes the absence of a obligation into its termination clause because there is nothing to return has committed to zero retention in the only way that binds. The Trust Center describes the mechanism: document text is processed in RAM only and promptly cleared, with the company never storing, retaining or using the customer's text or documents. Two architectural facts narrow the exposure further and are recorded because they are unusual.

Documents do not leave the local Microsoft Word environment at all unless the user enables AI citation review or BriefChat, so in the default configuration there is no transmission to retain. And BriefChat has access only to the user's prompts, never to the underlying document or email. One limit is named for completeness: the position covers Customer Content, and clause 5.6 separately permits the company to retain data about the provision, use and performance of the services, including information concerning Customer Content, which is usage telemetry rather than the documents themselves.

Source: Vendor PublishedCompany does not store or otherwise retain Customer ContentAs of Sep 13, 2026Evidence

Ethical Walls and Matter Segregation

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

Own model, documented

The product maintains its own permission model, documented, requiring the firm to keep it aligned.

The vendor operates its own access model and documents it tier by tier, which is this value, though the note records why the usual concern behind this signal barely arises here. What is documented is specific rather than asserted: two-factor authentication and Google authentication on every plan; single sign-on, SCIM provisioning for automatic account creation, update and deactivation through the customer's identity system, and advanced role-based access management assigning roles and permissions over features, administrative functions and organisational settings at enterprise.

Each is described with its function and each is stated against the tier that carries it, so an administrator can plan against it. Administrative control extends to the AI itself, an administrator being able to enable or disable AI features across the organisation. The reason this signal bites lightly is structural and is stated so a reader does not mistake the grade for a gap. Matter and client walls exist to stop material reaching people who should not see it, and this product retains no material: documents are processed in RAM and cleared, nothing is stored, and in the default configuration the text never leaves the user's own Word environment.

There is accordingly no repository in which one matter could be visible from another. What is not published, and would matter to a firm, is whether the role model can restrict which users may enable AI processing on which documents, as distinct from switching the capability on or off for everyone.

Source: Vendor PublishedAssign user roles and permissions to control access to features, administrative functions, and organizational settingsAs of Sep 13, 2026Evidence

Third Party Request and Subpoena Notice

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

Disclosure addressed, notice absent

Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.

Compelled disclosure is addressed in the agreement and customer notice is absent, which is this value. Clause 5.1 of the Master Terms establishes a mutual confidentiality obligation over Proprietary Information, expressly including Customer Content as the customer's, requiring each party to take reasonable precautions and not to divulge it to any third person. It then lists the exceptions, the last of which is information required to be disclosed by law.

So the agreement contemplates that the company may be compelled to disclose and removes that disclosure from the confidentiality obligation, and says nothing at all about telling the customer. There is no commitment to give notice before disclosing, no undertaking to give the customer an opportunity to object or seek a protective order, no commitment to narrow or challenge a demand, and no transparency report anywhere on the estate.

One structural mitigation is recorded because it is real and unusual, and because without it a reader would overstate the exposure: the same agreement provides at clause 7.2 that the company does not store or retain Customer Content, and the Trust Center states document text is processed in RAM and promptly cleared. A demand served on this vendor would therefore find account and usage records rather than the customer's documents.

That reduces what could be produced; it does not supply the notice commitment this signal asks for, and the two should not be confused.

Source: Vendor Publishedis required to be disclosed by lawAs of Sep 13, 2026Evidence
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?

Sources named and licensed

The vendor names its primary law sources and the licence or public domain basis for each, with an update cadence.

The source classes are named and the rights basis on which they are held is stated, which is this value. The vendor addresses provenance directly rather than leaving it to inference, and does so on the surface a buyer actually reads. The pricing FAQ states that the product is trained on real filings, real judicial opinions and decades of legal-writing expertise rather than scraped internet data, which distinguishes it from general-purpose assistants on exactly the axis this signal tests.

The support documentation supplies the rights basis: all models are trained exclusively on proprietary, licensed or publicly available non-customer data, with no user-generated content used for machine learning, fine-tuning or training. So each of the three categories comes with its footing, being owned, licensed, or in the public domain. One component is identified specifically and its rights position is unambiguous: BriefChat is trained on the published writing corpus of the company's founder, Ross Guberman, which is the company's own material rather than a third party's, and the editing engine rests on rule sets and in-app examples drawn from judicial and advocacy writing.

What is not published is any individual source. No database, publisher, reporter series or licensor is named, and the authoritative legal databases that RealityCheck checks citations against are described only by that phrase. So a buyer can establish the class and the basis and cannot audit either.

Source: Vendor Publishedtrained on real filings, real judicial opinions, and decades of legal-writing expertise — not scraped internet dataAs of Sep 13, 2026Evidence

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.

No located public material addresses whether authority is checked for subsequent history, and on this product that is a deliberate boundary rather than an omission. The vendor draws the line itself and in its own marketing: unlike a traditional citator, which tells a lawyer whether an authority is still good law, RealityCheck asks whether the authority says what the brief claims it says. Its own framing is that most legal tools help lawyers locate sources, validate citation formatting or check citation status, and that it addresses a different problem.

So the product verifies existence and support, not treatment. What it does verify is enumerated and is adjacent enough to be worth recording so a reader does not assume more: that a cited case or federal statute exists, by cross-checking reporter volume, court identifiers and case names; that quoted language actually appears in the opinion; that pincites point where they claim; that a proposition is not attributed to a case that rejects it; that a holding has not been reversed in meaning; that a concurrence or dissent is not presented as a majority holding; and that citation signals such as But see are used correctly.

None of that tells a user the authority has since been overruled, distinguished or superseded, which is what this signal asks. The absence is squarely established rather than untested, the vendor having stated the distinction expressly on the product page.

Source: Vendor PublishedAs of Sep 13, 2026Evidence

Refusal and Uncertainty Behaviour

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

Documented

The vendor describes refusal or abstention behaviour in public materials.

A specific system behaviour is described, with a stated threshold and a defined output state, which takes this above the floor and is this value. The behaviour is not an instruction to the user dressed up as a control. RealityCheck attempts confirmation across three case-law sources, and where it cannot confirm across them it says so and directs the user to verify that case manually. That is a threshold a buyer can understand, a condition under which the system declines to affirm, and an action it takes when the condition is met.

The output is correspondingly three-state rather than binary: the support documentation records that RealityCheck identifies what is correct, what needs attention and what is unverifiable, so the cases it could not resolve are surfaced as their own category instead of being silently passed or wrongly flagged. On a verification product that distinction is the whole difference between a tool that is safe to rely on and one that is not, because a false negative reads exactly like a clean result.

It is the documented tier rather than the demonstrable one because the behaviour is described in the vendor's launch material and support documentation without a published evaluation a buyer could test it against, and nothing states how often the unverifiable state is reached or why. Nothing addresses uncertainty behaviour in BriefChat or in the AI half of CiteCheck, both of which are graded here as unaddressed within an otherwise documented position.

Source: Vendor Publishedtells you to manually verify any case it can't confirm across three case-law sourcesAs of Sep 13, 2026Evidence

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.

Searched on 13 September 2026 against the company name and the product name, across reporting and trackers covering court decisions on AI-generated fabricated citations. None located. No decision, sanction or disciplinary referral names BriefCatch, RealityCheck, CiteCheck or BriefChat. The value is recorded with more care than usual because this vendor's relationship to the signal is inverted, and R126 directs that the inversion be named rather than allowed to colour the grade.

BriefCatch sells the detector for the conduct this signal tracks: its marketing cites the database maintained by Damien Charlotin recording more than a thousand decisions involving AI hallucinations, and it sells RealityCheck to courts to run over filings they receive. None of that is evidence about BriefCatch's own AI, and under ground rules section 3 and the Aderant precedent a product that is the customer's mechanism against third parties earns its vendor nothing on its own row.

What this value records is the ordinary question asked of every vendor: whether BriefChat or the AI half of CiteCheck has been named in a filing that carried a fabricated citation. It has not. Under R119 this signal records fabricated legal citations in filings and nothing else, so no other proceeding involving this company would appear here.

Source: Bar Guidance or Court RecordAs of Sep 13, 2026
Professional Responsibility

Bar Guidance Alignment

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

Generic reference

Public materials refer to professional responsibility in general terms without naming guidance.

Professional duty is engaged in general terms with no bar or ethics authority named, which is this value. The engagement is substantive and is closer to the subject matter than most records at this level, because the vendor's whole commercial case rests on the consequences of getting authority wrong. Its material describes courts imposing monetary sanctions and in some instances disqualifying attorneys, cites a research database recording more than a thousand decisions involving AI hallucinations, and frames the product as protecting professional credibility with every submission and as pre-filing quality control.

The Master Terms add a contractual duty running the other way, prohibiting the customer from relying on outputs as legal advice or representing them to third parties as such. What is absent is any named authority. No bar association, no rule of professional conduct, no ethics opinion and no court standing order on the use or disclosure of AI is cited or mapped to the product, in any jurisdiction. That gap is more conspicuous here than on a general drafting tool: the courts that have sanctioned lawyers for fabricated citations have done so under identifiable rules, principally candour and competence obligations and Rule 11-equivalent certification duties, and a product sold specifically to prevent those sanctions names none of them. Nothing states which jurisdiction's citation conventions the verification applies.

Source: Vendor PublishedAs of Sep 13, 2026Evidence

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.

Nothing published addresses what happens to the bill when AI-assisted work takes an hour instead of six, which is the floor. The vendor sells directly to law firms, several of them named, and the work the product touches, drafting and checking briefs, is billed to clients by the hour in most of those firms, so the question arises rather than falling away structurally. The efficiency claim is explicit, more than 50 per cent of editing time saved, which is a direct statement that billable drafting time is compressed.

Nothing follows from it. No per-matter record of AI-assisted work is described, nothing marks a suggestion or a verification as machine-generated for the purposes of a fee narrative, and no guidance is published on fee or disclosure treatment for a firm whose brief was checked by the product. Recorded and expressly not credited under R21 and R24, because it answers a different question: the AI credit system meters consumption and is visible to the customer, with 650 or 700 credits included per seat per month, a published conversion of roughly 70 credits for a brief under 30 pages, enterprise credit-pool management and purchasable packs.

That is transparency about what the customer pays the vendor, and a firm could in principle attribute credit consumption to a matter, but nothing published connects it to the client's invoice or to disclosure of AI assistance in a fee note.

Source: Vendor PublishedAs of Sep 13, 2026Evidence

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.

None of the three artifacts a firm would need is published, which is the floor, and R126 asked this record to be tested specifically against the possibility that a named supplier cleared it. It does not. There is no subprocessor list of any kind. The only third party identified on the estate is Microsoft Azure, named as the hosting environment, which is infrastructure rather than a processor of customer content under ground rules section 3.

There is no model provider statement: no model, version or provider is named anywhere, and the pricing FAQ's reference to never improving third-party AI services concedes that third parties are in the chain while naming none. The specific check R126 directed returns negative on both documents read: Counsel Stack, which trade-press reporting of the RealityCheck launch describes as supplying the citation-verification infrastructure, appears nowhere in the Master Terms and nowhere in the Trust Center, and nothing published states whether customer document content reaches it.

Under ground rules section 2 a supplier named only in third-party reporting is not first-party evidence and is not credited, so the floor stands. What a firm could forward is real but answers a different question: the Master Terms are published in full and commit at clause 11.2 to enter a data processing agreement where data protection law requires one, and the Trust Center is public and ungated. Both describe how the vendor behaves, not who else touches the data.

Source: Vendor PublishedAs of Sep 13, 2026Evidence

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.

No located public material addresses disclosure of this product's own AI involvement in a filing, which is the floor, and saying so plainly matters more on this record than on any other in the corpus. The temptation is obvious and R126 directs that it be resisted. BriefCatch sells verification to courts, and a court running filed briefs through RealityCheck is using the tool against submissions made by others. Under ground rules section 3 and the Aderant precedent, a product that is the customer's mechanism against third parties earns the vendor nothing on its own row, and the question this signal asks is the opposite one: if a lawyer uses BriefChat to draft a passage or accepts an AI-refined citation correction, can that lawyer evidence to a court what the machine did.

Nothing published answers it. No record of AI involvement is described, nothing marks a suggestion as AI-derived rather than rule-derived once accepted into a document, no export or report is offered, no certification template exists, and no guidance is published on whether or when use of the AI features should be disclosed in a filing. Two adjacent provisions are recorded and not credited. The Master Terms prohibit representing outputs to third parties as legal advice, which restricts what a user may say rather than enabling disclosure.

And the AI toggle's default-off state means a firm can state that AI was not used at all, which is a governance control graded elsewhere, not a disclosure record.

Source: Vendor PublishedAs of Sep 13, 2026Evidence
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 61 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
September 13, 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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