AI.Law vs Briefpoint: how they compare in 2026
AI.Law and Briefpoint both draft discovery for litigators. Briefpoint does only written discovery, generating requests, objections and responses in the format of any state or federal district court. AI.Law drafts discovery among roughly sixty tools that run from complaints to trial preparation, on top of a free practice management system. Briefpoint is stronger on its terms. They commit to advance notice before any compelled disclosure and deletion within seven days of cancellation, and restrict use to licensed attorneys under their own conduct rules. It also states SOC 2 Type II with a trust center. AI.Law publishes its terms and privacy policy, which may set out its positions on privilege, data handling and hosting, so those are unknown rather than absent. AI.Law answers with a written Citation Accuracy Guarantee that credits the account if a citation link is wrong. It also names client firms and publishes prices from $149 per seat. Briefpoint's terms state that the service is not intended to meet HIPAA requirements.
Which one fits
Choose AI.Law if
- You want a written remedy if a citation is wrong. AI.Law's Citation Accuracy Guarantee puts a clickable citation to the source page on every claim, verifies case citations against Court Listener, and credits your account if a citation link is wrong.
- You want practice management and AI in one place at a published price. AI.Law's practice management tier is free with unlimited matters and seats, including intake, conflict checks, calendaring, billing and IOLTA trust accounting, and AI seats cost $149, $299 or $699 per month by role, mixable within a firm.
- You draft more than discovery. AI.Law covers complaints with suggested claims, answers with affirmative defenses, motions and oppositions, deposition analysis and plaintiff medical chronologies, and exposes a REST API and MCP connections for outside AI agents.
Choose Briefpoint if
- You serve discovery across many courts. Briefpoint generates interrogatories, requests for admission and requests for production from a complaint or answer in the caption, numbering and definitions format of all fifty states and ninety eight federal district courts, and drafts responses with suggested objections.
- You want client answers to become responses without retyping. Briefpoint sends interrogatories to the client through a secure link in plain English or Spanish, turns the answers into serve ready responses, and writes production responses cited by Bates or exhibit number with a package to serve alongside.
- You need the vendor's terms readable before you sign. Briefpoint's terms commit to advance notice before compelled disclosure where the law allows, delete data within seven days of cancellation, restrict use to licensed attorneys and their agents, and cap liability at twelve months' fees, and it states SOC 2 Type II with a trust center.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
The Free Forever tier is described in AI.Law's own words as the full practice setup with no AI tools: unlimited matters and seats, CRM, lead pipeline, intake, conflict checks, calendar, billing, IOLTA trust accounting, document storage, electronic signature and workflow automation, at zero cost and with no time limit. That is a working practice management system standing on its own. The AI is sold on top, by seat and by role, at three price points, and the paid tiers are organized around what the models do: understand, draft, win. The drafting and analysis catalog is large and model driven, from complaints and discovery to deposition analysis and medical chronologies. The vendor publishes what remains without the models as a product of its own.
The product generates discovery requests from pleadings, suggests and writes objections, drafts responses from client answers and cites production by Bates number from the firm's files; without the models, a Word template and a client questionnaire link remain. The terms define the service as solutions based on artificial intelligence for discovery drafting, and the company has sold nothing else since 2020.
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.
Output is confined to the file: AI.Law states that the AI can only cite what is in the matter's files, and that every claim carries a clickable citation to the source document and page or transcript line. Caselaw is grounded in a named external source, Court Listener, against which every case citation is said to be verified, and the research tool is said to produce no invented cites. A separate brief analyzer checks citations and surfaces counter authorities. The published Citation Accuracy Guarantee sets out three steps: the AI drafts with a citation on every claim, the user clicks through to the exact source, and if a citation is wrong the vendor credits the account. No accuracy figure, test set, error rate, sample or third party evaluation is published. The guarantee concerns linkage rather than correctness: it addresses whether a citation points at a real source, not whether the proposition it supports is right.
Responses to requests for production are cited by Bates or exhibit number to the documents found in the firm's own files, with the production package generated alongside. According to the FAQ, the models are trained on discovery documents collected from courts rather than from users. Terms section 8.3 states that outputs may be inaccurate and that the customer alone verifies them, and the product page states that every draft must be reviewed by a qualified attorney before service. No accuracy figure, test set or evaluation is published, and objections are generated rather than cited to authority.
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.
AI Controls lets a firm switch AI categories on or off firm wide or matter by matter, an administrative switch over what the models may touch. Permissions and Roles supplies fifteen built in roles with matter visibility, so who can invoke which tool is configurable. The Citation Accuracy Guarantee makes the user's click through to the source the second of its three steps, so checking the source is part of using the product. The seat structure carries a supervision model AI.Law states openly: the Associate seat is for associates, of counsel attorneys and senior paralegals drafting under supervision. Nothing published states a confidence threshold, describes what the system does when the file will not support an answer, sets out an escalation route, or separates work the AI completes from work it proposes.
Every output is delivered in Word for review and revision, and the product page states that all content should be reviewed by a qualified attorney before service. Bespoke Objections suggests only what it finds reasonable and the lawyer selects from a menu, and Discovery Playbooks enforce the firm's objection and response strategy and catch contradictions before anything is served. Not published: whether any step, such as client answers flowing into responses, executes without attorney review, and any route back after a wrong objection beyond the lawyer's edit.
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.
Three firms are named on AI.Law's own pages with attributed quotations. Liu Law Firm speaks to searching key information across large volumes of legal documents. Akiva Shappiro of Akiva Shapiro Law, PLLC is quoted as a solo litigator on value for money and reduced drafting time, and Sean Akari of Akari Law Firm on accuracy and speed. No measurement is attached to any of them. The figures the vendor publishes stand apart from the customers. A Paralegal seat is said to pay for itself by reducing around twenty hours of paralegal work a month, and an Associate seat with one drafted motion or one set of discovery responses. In a third party interview, deposition summarization is said to have reduced billable time in an insurance defense case by up to twenty percent. None states a basis. The founder's own law firm has handled over 2,200 matters and resolved more than $500 million in claims, which is the vendor's background rather than a customer outcome. A case studies page is published.
The vendor states more than a thousand firms in all fifty states, more than thirty hours saved per case and client responses three times faster, with the last two carried by unnamed customer quotes. No named deployment or attributed testimonial appears on the product page. The navigation includes a Customers page.
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.
AI.Law publishes fifteen built in permission roles with matter visibility, automatic conflict screening, AI controls that can be switched off firm wide or per matter, a scoping statement that the AI can only cite what is in the matter's own files, and an assertion of a completed SOC 2 Type II examination. Together those describe a product built with a firm's confidentiality obligations in mind. The Terms of Service and Privacy Policy are published, ungated and linked in the footer of every page. No statement on training on client data, retention, deletion, segregation between matters at the model layer, or what any model provider may retain appears on the marketing, features, pricing or guarantee pages, and nothing there addresses privilege or work product. Cross Matter Intelligence and Firm Intel run retrieval across every matter in the firm, which is the capability a matter level wall would need to constrain.
The product page states that nothing typed into Briefpoint is used to train Briefpoint or any third party AI model. The terms license input and output only to provide the service and to derive telemetry that excludes input and output, and no clause names training. Client data is stated to be siloed per account and encrypted. Terms section 9.3 deletes data within seven days of cancellation, with backups retained under confidentiality. Section 3.1 permits disclosure to an unnamed third party platform or service provider in providing the service. Section 22 places attorney work product and client confidence rules on the user as duties, with no vendor commitment on how privileged material is handled.
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.
AI.Law markets the platform as ABA Opinion 512 Guided, putting the profession's own generative AI ethics opinion on the face of the product. The Citation Accuracy Guarantee opens on the fact that courts are sanctioning attorneys for hallucinated AI citations and presents the guarantee as the answer to that exposure. The product is sold only to litigation attorneys and law firms and priced by professional role. The Associate tier is described as being for those drafting under supervision, which is a supervision statement in commercial form. Nothing on the marketing, features or pricing pages states that output is not legal advice, that the vendor is not a law firm, or that a lawyer must use independent judgment before filing. Nothing sets out how a supervising attorney meets competence and supervision duties over pleadings drafted by machine. No jurisdictional limit appears, although caselaw coverage is claimed across every US jurisdiction.
Terms section 22, an Attorney Ethics Notice, permits use only by duly licensed attorneys and their agents, requires the user to warrant good standing in a US jurisdiction, and states that the user's rules of professional conduct, including competence, work product, client confidences and unauthorized practice, apply to all use. Section 8.3 states the service and its output are not legal advice and must not substitute for professional advice. The product page requires review by a qualified attorney before service, and formatting is stated for all fifty states and 98 federal district courts. No specific bar opinion is named.
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.
AI Controls switch AI categories on or off firm wide or per matter, fifteen permission roles govern who may invoke what, and AI.Law states alignment with ABA Formal Opinion 512. A completed SOC 2 Type II examination is asserted, but that is a controls attestation rather than an AI governance one. None of the parts of a governance program is published. There is no responsible AI or AI governance page, no named framework and no one identified as accountable for AI decisions. Nothing describes what is evaluated before a model or tool ships, and no testing regime is set out. Bias is not addressed, on a platform whose outputs include dismissal risk scoring, settlement correspondence and medical causation analysis, all of which can vary by claimant, venue or injury type. The Citation Accuracy Guarantee is the one place where the vendor commits to a standard and accepts a consequence for missing it, and it covers citation linkage only.
According to the FAQ, the AI is trained on discovery documents collected from courts rather than user data and continuously improves on legal best practices, and the product describes generation that takes objections into account. No responsible AI framework, ISO 42001 or equivalent, accountable owner, description of testing before release, or statement about uneven output across jurisdictions is published on the product page, in the FAQ or in the terms.
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.
Fifteen built in roles with matter level visibility, automatic conflict screening, AI controls that can be disabled firm wide or matter by matter, firm wide document search scoped by permission, and a completed SOC 2 Type II examination asserted on the vendor's own pages make up the published controls. The platform also holds trust money through IOLTA accounting, which raises the stakes on access control. No retention period, deletion right, subprocessor list, encryption statement, breach notification commitment or incident practice appears on the marketing, features, pricing or citation guarantee pages. The Privacy Policy, which would ordinarily carry these terms, is published and ungated.
Terms section 9.3 deletes data within seven days of cancellation, with backups retained under confidentiality and a stay available on request. Access control covers siloing per account, encryption at rest and in transit, user management and single attorney accounts under section 17. Sections 3.1 and 16.8 permit third party platforms and subcontractors without naming them. No incident practice is published on the product page or in the terms. The product page states HIPAA compliance and business associate agreements, while terms section 2.4 states the services are not intended to meet HIPAA requirements and that Briefpoint is not a Business Associate.
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.
The Citation Accuracy Guarantee is published at its own URL as a commitment with a consequence: every hyperlinked citation is verified against the source document, and if a citation link is wrong the vendor credits the account. The page says so twice and calls it a written guarantee. That is a specific remedy for a defined failure of the output itself, offered to every customer without negotiation. The remedy is an account credit, not an indemnity, and it covers citation linkage only. It does not reach a wrongly drafted claim, a missed affirmative defense, a mistaken limitation calculation or an incorrect medical causation analysis. Nothing published addresses indemnity, insurance, or a warranty covering the substance of any document the platform drafts. The Terms of Service are summarized on their page as covering subscription, billing, arbitration, class action waiver and governing law.
Terms section 11.2 caps each party's aggregate liability at amounts paid in the twelve months before the claim. Section 11.1 waives consequential loss, including lost data and failure of security mechanisms, with excluded claims running only against the customer. Section 8.1 warrants material conformity with documentation, and 8.2 gives correction or termination with a pro rata refund as the exclusive remedy. Section 8.3 disclaims any warranty on output accuracy and places reliance on the customer. Section 14 caps trial liability at fifty dollars. Only the customer indemnifies, under section 12, and no insurance is stated.
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.
The named connections cover the systems a small litigation firm runs on: Google and Outlook calendar sync for matter events and deadlines, email integration inside client and contact management, and Stripe for invoicing and payments alongside IOLTA trust accounting. Two further connections are published as plan features rather than roadmap. A RESTful API is described as reaching any AI.Law data point, and MCP connections attach external AI agents to the platform, with white glove onboarding for both included at the Partner tier. No developer portal, API reference, authentication description, field mapping or statement of sync direction is published, and nothing describes what a firm must configure to make any connection work. The platform largely absorbs adjacent systems rather than connecting to them, since it ships its own CRM, document management, calendar and billing.
Output is delivered as Word documents, and integrations appear among the FAQ's topics. The terms contemplate third party platforms a customer enables. Practice management integrations named by third parties have not been confirmed by the vendor. No document or matter system is described with what syncs or in which direction.
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.
The product is a hosted web application reached through a browser sign in, provisioned instantly on self serve signup and priced per seat per month. No cloud provider is named, no region or data center is identified, no residency option is offered or refused, and no single tenant or private deployment is mentioned. Nothing separates where documents are stored from where model inference happens, though the platform routes work to ten large language models it does not name. No on premises or self hosted option is described, for a product holding client files and IOLTA trust records.
Client data is siloed per account and encrypted at rest and in transit, a separation model on shared cloud infrastructure that the product page describes. No hosting provider, region or residency option is named on the product page or in the terms.
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.
AI.Law's own pages assert a completed SOC 2 Type II examination, in the same banner as the patent number and the ABA Opinion 512 alignment. No auditor is named, and no observation period or report date is given. No scope statement identifies which trust services criteria or systems were covered, no certificate or attestation letter is published, and there is no trust center, security page or route to request the report. No penetration testing regime, vulnerability disclosure program or encryption statement is published. A fuller scope description, naming security, availability, processing integrity and confidentiality, appears only in company boilerplate on a third party business directory, not on the vendor's own site.
Certification to SOC 2 Type II is stated on the product page and site footer, and a security documentation portal runs at trust.briefpoint.ai. No auditor, coverage period or access route is stated on the product page or footer.
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 one published fact about the supply chain is a count: the AI Associate is described as letting a user chat with ten large language models, with every answer citing source pages. No provider is named, no model or version is identified, nothing states which model performs which task or which one drafts a complaint as against summarizing a deposition, no default is stated, and nothing commits to notifying a customer when the set changes. There is no subprocessor list. What is disclosed is the data side: Court Listener is named as the caselaw source and AI.Law states that generated text can only cite what is in the matter's files. Those describe where the grounding comes from, not what generates the text. A firm is invited to select among ten models for work on privileged client files without being told whose they are.
The product page states that nothing typed into the product trains any third party AI model, and the terms permit disclosure to third party platforms in providing the service, which acknowledges providers exist. No model, provider, inference location or commitment to notify changes is named on the product page or in the terms.
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.
Rates are published outright: Paralegal seats at $149 per seat per month, Associate at $299 and Partner at $699. An Owners' Suite option costs a flat $999 per month for the whole firm, and a Free Forever tier at $0 has unlimited matters and seats. Seats are bought by professional role and can be mixed across one firm, with each user on their own tier. Annual billing saves ten percent, and cancellation is allowed at any time with access to the end of the billing period. What each tier contains is set out feature by feature, including which tools are free forever and which are Partner only. AI.Law publishes a worked example: a six person firm with one Partner, one Associate, two Paralegal and two free seats at about $1,296 per month. Purchase is self serve, with paid checkout in the product and no credit card required to start. No implementation charge applies, since the product provisions on signup, and white glove API and MCP onboarding is included at the Partner tier.
The terms price per attorney account with account sharing prohibited, on monthly or annual plans that renew automatically unless either party gives thirty days' notice, with renewals at then current rates and fees in US dollars due in thirty days. A surcharge per unmatched attorney of 1,800 dollars on annual and 210 dollars on monthly plans implies the plan scale. No figure appears in the terms, and a pricing page appears in the navigation. A third party figure of 89 dollars a month has not been confirmed by the vendor.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
The segment is named: the platform is built for solo and mid size litigation firms. The pricing describes the roles it expects to find, with seats for paralegals and admin staff, associates and of counsel attorneys, and partners and solo trial attorneys running their own cases. For research, caselaw is claimed across every US jurisdiction through Court Listener. Practice coverage can be read from the tool catalog. It covers general civil litigation on both sides through complaints, answers, discovery and motions, a substantial plaintiff personal injury group, insurance coverage analysis, and contract drafting at the edge. Intake runs in English and Spanish, with translation that handles dialects. Nothing states which practice areas the platform does not suit. No limit is placed on the jurisdictions whose procedural rules its drafting and formatting tools handle, although court compliant captions are a named feature. Nothing separates what a paralegal seat may do on a matter from what a partner seat may do beyond the tool list.
Solution pages address plaintiff, defense, in house, insurance and legal aid practices. Coverage is stated as all fifty states and 98 federal district courts with formatting specific to each jurisdiction, client collection in English and Spanish, and written discovery only. The vendor states limits: the terms exclude use for data regulated under HIPAA, payment card data and other specially regulated data, restrict use to attorneys licensed in the US, and the product is not a calendaring or practice management system.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
AI.Law publishes a Terms of Service and a Privacy Policy, ungated and linked in the footer of every page, and their text was not available to read. Their page summaries describe the Terms as being for the AI.Law Litigation Operating System and covering subscription, billing, arbitration, class action waiver and governing law. Nothing on any other page states a training position either way. The nearest is architectural rather than contractual: the AI can only cite what is in the matter's files, which describes grounding rather than a limit on training.
Company boilerplate on a third party business directory states that clients retain full ownership of their data and that it is never used to train AI models; that text is not on the vendor's own site.
The product page states that nothing typed into Briefpoint is used to train Briefpoint or any third party AI model, and its FAQ says the models are trained on discovery documents collected from courts, not users. In the terms of service, section 3.1 licenses input and output to provide the service and to derive telemetry, defined to exclude input and output, for developing and improving products, and no clause names training either way.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Nothing on the features catalog, the pricing page including its FAQ, or the Citation Accuracy Guarantee states how long prompts, generated documents or uploaded case files are retained. The published Privacy Policy would ordinarily carry it. What the product pages describe is storage as a feature rather than a period: document management with upload, organization and search; a firm wide Workdrive; discovery compilation indexed by Bates number; and cross matter retrieval across every matter in the firm.
Material is held durably and searchably, and nothing says what happens at the end of a matter or the end of a subscription. Nothing published addresses deletion on request, export on termination, or whether prompts and generated drafts are retained separately from the underlying files.
Terms section 9.3 states that customer data is generally deleted automatically within seven days of cancellation, that input, output and confidential information may remain in standard backups subject to confidentiality, and that a customer needing more time may request a stay of the deletion by written notice. Section 13.2 adds deletion of confidential information on request except where needed to provide the service. Nothing states a shorter or configurable window for prompts and outputs during the term.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Three published features carry the permission model: Permissions and Roles, offering fifteen built in roles with matter visibility as a stated dimension; Conflict Checks, described as automatic conflict screening and included on every tier including the free one; and AI Controls, which lets a firm toggle AI categories on or off firm wide or matter by matter, so the reach of the models is itself a permission the firm sets.
The firm administers that model: nothing enforces an external document management system's access model, and no default wall configuration is published. Cross Matter Intelligence is described as retrieval across every matter, Document Reconnaissance as full text search across the firm, and Firm Intel as firmwide cross matter AI including opposing counsel analysis drawn from the firm's case history. Those are the capabilities a matter level wall would have to constrain, and nothing published states how the role model interacts with them.
The product page states that client data is siloed per account and encrypted. The terms fix one attorney per account with sharing prohibited under section 17, and give the user control over content shared with other users under section 2.3. Nothing describes walls between matters within a firm's accounts or how the drafting models respect them.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Nothing on the marketing, features, pricing or guarantee pages refers to subpoenas, warrants, court orders, law enforcement or government requests, and no commitment or reservation about notifying the customer appears. No transparency report exists. The Terms of Service and the Privacy Policy, which would ordinarily carry the position, are published and ungated. The platform holds a firm's complete case files, deposition transcripts, medical records, discovery productions and IOLTA trust accounting records, so it is a single custodian holding material from every matter a firm runs.
Terms section 13.5 permits disclosure of input, output or other confidential information where required by law, subpoena or court order, provided that, if permitted by law, the disclosing party notifies the other party in advance and cooperates in any effort to obtain confidential treatment. Section 25 separately reserves a right to report suspected unlawful activity to law enforcement, which is a different matter. No transparency report is published.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The primary law source is named, no licensing basis is stated for it, and the source can be checked from outside. AI.Law states that legal citations are verified through Court Listener with clickable links, that its research tool draws on Court Listener caselaw with no invented cites, and that coverage includes every US jurisdiction. Court Listener is the Free Law Project's public database, so its contents can be seen.
The second source is the customer's own file, and the vendor says generated text is confined to it: the AI can only cite what is in the matter's files, and every cited entry links back to a source page or transcript line. No license, terms of use or attribution arrangement with the Free Law Project is described. No update cadence or data vintage is published, and no coverage table sets out which courts and date ranges are included. Nothing addresses what the ten unnamed language models behind the platform were trained on.
According to the FAQ, the AI is trained on thousands of real discovery documents collected from courts rather than from users and continuously improves on legal best practices, and the product states formatting specific to each jurisdiction for all fifty states and 98 federal district courts. Nothing states the courts or records systems the documents come from, the rights basis for their use, or an update cadence.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No published material addresses whether authority is checked for subsequent history. AI.Law publishes an adjacent check of existence and linkage. Every case citation is verified against Court Listener, every hyperlinked citation is verified against the source document, the research tool is described as producing no invented cites, and a Brief Analyzer offers citation lookup and surfaces counter authorities. Those confirm that a cited case is real and reachable and, for counter authorities, that contrary law exists on the point.
None of them is a treatment check. Nothing published states that the platform reports whether a decision has been reversed, vacated, overruled, superseded, distinguished or criticized, and no citator relationship, treatment taxonomy or method is described. A citation can still be real, correctly linked and no longer good law, and the written accuracy guarantee addresses only the first two.
The product does not retrieve or cite case law; its output is discovery requests, objections and responses cited to the firm's own documents. Nothing published addresses whether authority is checked for later history.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No published material addresses what the product does when it cannot ground an answer. What is published is a limit on grounding rather than a description of behavior at its edge. AI.Law states that the AI can only cite what is in the matter's files, that its research produces no invented cites, and that every claim carries a clickable citation to a source page. Those describe what the system will not do. Nothing describes what it does instead when the file does not support the proposition being drafted.
No abstention path, declining behavior, marking of unsupported assertions, confidence or grounding score shown to the reviewer, or evaluation of any of it is published. The vendor addresses hallucination directly and backs its citation position with a written guarantee and an account credit; the case where there is nothing to cite is not addressed.
The Bespoke Objections announcement states that the feature is designed to suggest objections only where it finds them reasonable, with the lawyer free to add others from a menu, and the playbook feature flags contradictions before service. The behavior is described rather than demonstrated, and nothing states what the drafting model does when a request falls outside what it can format for a jurisdiction.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database maintained by Damien Charlotin records no case naming AI.Law or its founder Troy Doucet, and two independent sanctions trackers name none either. This is a statement about the public record rather than a finding about the product, and it covers fabricated citations only, not litigation history.
The AI Hallucination Cases database maintained by Damien Charlotin records no case naming Briefpoint. A general search for court findings on discovery responses returns sanctions involving general purpose chatbots, none of which names this product. This is a statement about the public record rather than a finding about the product.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
The platform is marketed as ABA Opinion 512 Guided, placing the American Bar Association's 2024 formal opinion on generative AI in legal practice on the face of the product alongside its patent number and its SOC 2 claim. The phrase appears on the vendor's own AI Case Strategy page. The Citation Accuracy Guarantee opens on the fact that courts are sanctioning attorneys for AI hallucinated citations and offers itself as the answer, and the seat structure names supervision explicitly, the Associate tier being for attorneys and senior paralegals drafting under supervision.
No page explains what being guided by Opinion 512 means in practice, which of the opinion's duties, competence, confidentiality, communication, supervision and fees, the product addresses, or how. No state bar guidance is named, and no jurisdiction by jurisdiction treatment appears.
Terms section 22, the Attorney Ethics Notice, states that the rules of professional conduct of the user's licensing jurisdictions apply to all use, listing competence, ethics, solicitation, attorney client relationships, work product, client confidences, unauthorized practice and misrepresentation, and disclaims responsibility for the user's compliance. No bar opinion or guidance on AI use from any jurisdiction is named.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The savings claims are the commercial argument and are stated seat by seat. A Paralegal seat pays for itself by reducing around twenty hours of paralegal work a month, an Associate seat by one drafted motion or one set of discovery responses, and a Partner seat by one medical chronology, complaint draft or deposition summary. The founder has separately put deposition summarization at up to a twenty percent reduction in billable time on an insurance defense matter.
The buyer is a law firm that bills clients for exactly this work. AI.Law also ships the billing system: time tracking and invoicing, IOLTA trust accounting, AI UTBMS billing described as producing UTBMS codes and polished narratives, and billing validation before invoicing. The platform both compresses the hours and writes up the entries. Nothing published states whether an entry identifies work as AI assisted, whether a client is told, or how a firm should price work that now takes minutes.
The buyer is a law firm, and the product drafts work product that is served. The vendor claims more than thirty hours saved per case, frames plaintiff practice as contingency economics, and presents defense practice as faster at volume. Nothing addresses how AI assisted drafting is recorded or disclosed on a client's bill, or what a firm discloses when six hours of discovery drafting become one.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No published material supports a client side disclosure obligation. A firm asked by a client's outside counsel guidelines to identify the AI it uses, name the providers that see the client's files, and produce the vendor's data terms could answer none of those from anything published here. No subprocessor list exists on any surface. No model provider is named anywhere: the only published fact about the supply chain is that the AI Associate offers a choice of ten large language models, and the ten are not identified.
No data processing addendum, security exhibit, client notification pack or forwardable disclosure document is published, and the SOC 2 Type II examination is asserted without a report, a scope statement or a route to request either. Nothing indicates such material exists behind a sales conversation: there is no security contact, no trust center and no request mechanism published. The Terms of Service and the Privacy Policy are published.
Neither the terms nor the product page publishes a subprocessor list or model provider list. The terms permit third party platforms and subcontractors without naming them, and the product page states that nothing typed into the product trains any third party model. A security documentation portal runs at trust.briefpoint.ai.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Source traceability is built into the output. Every claim carries a clickable citation to the source document and page, every cited entry links back to a source page or transcript line, and case citations are verified against Court Listener. A brief analyzer will check citations and surface counter authorities in a document already drafted. The human verification step is written into the published workflow: the Citation Accuracy Guarantee makes the user's click through to the exact source its second step, with an account credit if a link proves wrong.
Together those show what an assertion rests on and that a person checked it. Nothing identifies which model produced a passage, and no model is named anywhere. Nothing marks text drafted by machine against text edited by a person. No export at document level, certification form, disclosure template or guidance for courts is published, although the vendor builds its positioning on the risk of judicial sanction.
Responses to production requests carry Bates or exhibit citations with the production package, playbooks keep a record of the firm's positions across cases, and every draft is reviewed in Word before service. Nothing states that a record of the model used or the attorney verification can be exported for a court, and the terms place all responsibility for reliance on the attorney.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Good Law Verification
- Outside Counsel Guideline Readiness
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Briefpoint
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Pricing / packaging
Find Answers, the feature that drafts interrogatory answers from case files, now runs on credits, where one credit covers one document checked against one interrogatory.
Source
In summary
AI.Law
AI.Law is a litigation platform for solo and midsize firms, founded by litigation attorney Troy Doucet. It sells about sixty AI tools for drafting complaints, answers, discovery, motions and trial preparation, analyzing depositions and producing plaintiff demand letters and medical chronologies. They sit on top of a free practice management system with IOLTA trust accounting. According to the AI Legal Index, AI seats cost $149, $299 or $699 per month by role. AI.Law publishes a Citation Accuracy Guarantee that credits the account for a wrong citation link, and names ABA Formal Opinion 512. Users choose among ten language models.
Briefpoint
Briefpoint, from The Simple Associate, Inc. of San Francisco, is an AI drafting tool for written discovery in civil litigation. It generates interrogatories, requests for admission and requests for production in the format of all fifty states and ninety eight federal district courts. It drafts responses with suggested objections, collects client answers in English or Spanish, and enforces firm discovery playbooks. According to the AI Legal Index, its terms restrict use to licensed attorneys under their own conduct rules. It states more than a thousand law firm customers and SOC 2 Type II. Its drafting runs on third party models.
Questions buyers ask
AI.Law vs Briefpoint: which is better for discovery drafting?
Briefpoint is a specialist in written discovery with readable terms on notice, deletion and attorney only use. AI.Law drafts discovery as one of about sixty tools and publishes full seat prices and a citation guarantee, with its terms on a separate page. Firms that only need discovery have more to read from Briefpoint. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
What is AI.Law's Citation Accuracy Guarantee?
It is a written commitment published on its own page. AI.Law says every claim its AI makes carries a clickable citation to the source document and page, that case citations are verified against Court Listener, and that if a citation link is wrong it credits the account. The guarantee covers whether a citation points to a real source, not whether the proposition it supports is right or the case is still good law. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Does Briefpoint train AI on client discovery?
Briefpoint's product page states that nothing typed into Briefpoint trains Briefpoint's or any third party model, and its FAQ says its models are trained on discovery documents collected from courts rather than from users. Its terms license input and output only to provide the service and to derive telemetry that excludes both, without naming training. AI.Law's product pages do not state its position. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
How much do AI.Law and Briefpoint cost?
AI.Law publishes its prices in full: practice management is free with unlimited seats, and AI seats cost $149 for paralegals, $299 for associates and $699 for partners per month, with 10 percent off annual billing. Briefpoint prices per attorney account on monthly or annual plans that renew automatically. Its terms set out the structure, and the figure sits on a separate pricing page. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Three points to weigh. AI.Law's terms of service and privacy policy are published and ungated, and may state its positions on training, retention and data location. Those gaps are not a finding about the product. Briefpoint's terms state that its service is not intended to meet HIPAA requirements and that it is not a business associate, which matters to firms whose discovery includes medical records. Briefpoint publishes its price figure on a separate pricing page. Neither vendor reviewed this page.