A
Aderant

Aderant builds the software law firms run their business on, rather than the software they practise law with, and it has done so at the top of the market for decades: the company reports more than 2,500 client firms across 26 countries, including 98 per cent of the Am Law 200 and 86 per cent of the Global 100. The estate spans sixteen named products across four groups. Financial management runs on Expert and its cloud successor Expert Sierra, covering practice and financial management with next-generation accounts receivable and general ledger.

The work-to-cash group covers Onyx for outside counsel guideline compliance across time, billing and e-billing, iTimekeep for time capture and billing compliance, BillBlast for bill delivery and e-billing, and Virtual Pricing Director for pricing and profitability, acquired in London. Docketing and calendaring runs through Milana, CompuLaw, Deadlines.com and Forms Workflow. People management is the vi by Aderant suite, covering recruiting, evaluation, skills, work allocation, real-time feedback and CLE tracking.

Underneath sits Stridyn, the company's cloud platform, and MADDI, the artificial intelligence layer introduced in 2023 and now embedded across the cloud products. MADDI's user-facing form is askMADDI, a natural-language assistant available in Stridyn Analytics for business questions, in Onyx for guideline terms and rule lookups, in iTimekeep for work descriptions and narrative suggestions, and in the cloud general ledger for financial queries.

Above that sits Agent Center, announced in May 2026 and opened to early access in August, a set of seven purpose-built agents covering e-billing appeals, collections, associate evaluations, time narratives and UTBMS coding, rate management, general ledger forecasting and outside counsel guideline compliance, with the stated division of labour that agents prepare, prioritise and draft while the firm's team reviews and decides.

An integration with Harvey turns AI-performed legal work into draft time entries inside iTimekeep for a lawyer to review and submit. Aderant is headquartered in Atlanta, Georgia, with offices across North America, Europe and Asia-Pacific, and operates as a business unit of Roper Technologies.

Vendor siteAtlanta, Georgia, United States
Last verifiedSeptember 12, 2026
Compare with other vendors

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 a real capability layered on a business system that plainly functions without them, which is the B band. The AI is substantial and named: MADDI, introduced in 2023 and described as the AI foundation embedded across Aderant cloud solutions; askMADDI, generally available in four named surfaces, Stridyn Analytics for natural-language business queries, Onyx for guideline terms and rule lookups, iTimekeep for work descriptions and narrative suggestions, and the cloud general ledger; and Agent Center, seven purpose-built agents opened to early access in August 2026.

What decides the grade against A is what the product is. Aderant sells practice and financial management, time capture, bill delivery, docketing and calendaring, and a talent suite, and it sold all of that for decades before MADDI existed. Remove the AI and Expert, iTimekeep, BillBlast, Milana, CompuLaw and the vi suite remain fully saleable systems. The vendor frames it this way itself, describing MADDI as making AI a core capability rather than an add-on, which is a claim about integration rather than about the models being the product.

Recorded on the other side, because it is the strongest argument for A: the 2026 positioning is aggressive, the home page leads with an intelligent ecosystem and AI built for the way law firms work, and the general ledger, receivables and time capture releases are all described as AI-driven. That is a platform adding an AI engine to a core capability, which is what the B band says. Verified 12 September 2026.

Source: Vendor Published
CC on Citation Accuracy and Hallucination DisclosureAccuracy is asserted without measurement, or grounding is claimed while output cites sources the reader cannot open and verify.

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.

Reliability is asserted without measurement and grounding is claimed without a described method, which is C, and R15 governs how heavily it should read. This product generates no legal authority. askMADDI answers questions about a firm's own ledger, receivables and time data, and the agents work on billing, collections, rates, forecasts and evaluations, so the limbs about primary authority, openable citations and citator status do not bite and the record is not penalised for them.

What does bite is that the output is quantitative and consequential, and the vendor asserts quality without evidence. The assertions located: that Aderant applies controlled orchestration, safeguards and validation to help ensure AI is relevant and reliable, and that it delivers explainable, secure and performance-driven technology. No accuracy figure, error rate, test set or evaluation of any kind is published for MADDI, askMADDI or any agent.

Two grounding claims exist and neither is a described method: the Agent Center states that agents work with a clear record of the information used and the work prepared, and the Compliance Agent is described as citing the source language of the guideline requirements it finds. Both are real and both are one clause long. Recorded because it is the sharpest version of the risk here: a general ledger assistant that answers a partner's financial question wrongly, or a Time Agent that recommends the wrong UTBMS code across a matter, produces an error that reaches a client's invoice, and nothing published says how often either is right. Verified 12 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 a human decision-maker, with real controls, short of the full structure. The commitment is unusually crisp and is published on the Agent Center page in one line: agents prepare, prioritize, and draft, and the firm's team reviews and decides. That is a categorical boundary rather than a hedge, and it is repeated in the agent descriptions, each of which stops at drafting, ranking, flagging or recommending.

Around it sit two real controls. Agents are stated to follow product permissions and firm controls, so the firm's existing access model constrains what an agent can reach. And each agent is stated to keep a clear record of the information used and the work prepared, which is a review surface rather than a slogan because it lets a reviewer see the basis before accepting the draft. What holds it off A is that nothing below that line is published.

No threshold, confidence boundary or class of work is described at which an agent proceeds without review, no error handling or escalation path appears, and nothing states what happens after an agent is wrong. The GL Forecasting Agent is described as producing confidence ranges, which is a property of a forecast rather than a statement of model uncertainty, and it is recorded here rather than credited. The A case is real and is noted rather than taken: a categorical constraint can stand in for a numeric threshold on a product of this kind, which is a live band question logged in the pull's parking file, and it is not resolved in this vendor's favour unilaterally. Verified 12 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.

Named customers in quantity and no figure attached to any of them, which is the B band. The naming is the strongest part of this record and it is specific: published client stories cover Chartwell Law, a National Law Journal 500 firm with nearly 300 attorneys adopting Expert Sierra; Michael Best and Friedrich, an Am Law 200 firm running BillBlast, iTimekeep and compliance solutions; Buchanan Ingersoll and Rooney on the vi suite; Miles and Stockbridge on Expert Sierra and Stridyn Analytics; and Gerber Ciano Kelly Brady and Tressler LLP. Those are real firms named with the products they bought.

The aggregate scale claims are also published: more than 2,500 client firms, 98 per cent of the Am Law 200, 86 per cent of the Global 100, 26 countries. What is missing is measurement tied to a customer. No named firm carries a figure for what changed, nothing is dated, and no method is published for any of it. The vendor's own headline metrics are unsourced and self-assessed, a net promoter score of 92, more than 35 new products released, and a claim of zero failed enterprise implementations at 100 per cent, none of which states a period, a population or a basis, so none is credited as outcome evidence.

Nothing published attaches any result to MADDI or to an agent specifically, which matters because the AI is the thing being graded. The client stories library is published and was not opened; under R25 it corroborates rather than carries a grade resting on the named-customer strip, and it is the artifact that would move this row if the studies carry dated figures with a stated basis. Verified 12 September 2026.

Source: Vendor Published
CC on Privilege and Confidentiality PostureConfidentiality is asserted in general terms, or the commitment lives only in a sales conversation and cannot be read in advance.

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.

Confidentiality is asserted in general terms and cannot be read in a published instrument, which is the C band, with one specific commitment that keeps it off the floor. The specific commitment is on training and it is worth stating precisely: the vendor states that its AI architecture does not use any confidential, intellectual property, personally identifiable or sensitive data for model training, and that all input undergoes masking, anonymisation and filtering.

That is more than most records at this grade publish, and it is graded on the training signal as well as recorded here. Everything else on this axis is asserted rather than committed. MADDI is described as designed with the security, privacy and governance standards law firms require, as working within each firm's existing controls, and as helping keep customer data protected, private and governed. Those are three general assertions and none is a commitment a buyer could hold the vendor to.

The reason they cannot be is structural rather than accidental, and it is the finding on this record: no customer agreement is published anywhere on the estate. The only legal instruments in the footer are a privacy notice and an API terms of use, and the privacy notice expressly excludes data processed on behalf of customers in the vendor's role as processor through its products, which is precisely the client data a law firm cares about.

So privilege and work product are addressed nowhere, no retention or deletion commitment exists, no position on third-party model providers is published, and segregation is asserted through product permissions without being described. Verified 12 September 2026.

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

UPL and Professional Responsibility Posture

Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point.

Nothing published on professional responsibility was located, which is the D band, and R15 requires naming which limbs bite before the grade is read as heavier than it is. The advice-line limb barely applies. This product does not produce legal work product, advise on a client matter, or generate anything filed with a court; the AI drafts e-billing appeals, collections outreach, time narratives, associate evaluations, rate explanations and financial forecasts.

The audience limb is answered and answered narrowly: the buyer is a law firm's finance, operations, talent and compliance functions, and the vendor is unambiguous about selling the business of law rather than the practice of it. What is genuinely absent, and what the grade records, is any statement connecting the output to the professional obligations of the people relying on it. Two places where it would bite are worth naming rather than passing over.

The Time Agent improves time narratives and recommends UTBMS task, activity and expense codes, and a time narrative is a representation to a client about work performed, made by a lawyer who signs the bill. The Compliance Agent turns outside counsel guidelines into machine-readable rules that then govern what the firm may bill, which is a contractual and ethical obligation being encoded by a model. Nothing published addresses the supervision either requires, no disclaimer of any kind was located on any surface read, and there is no published agreement in which such a position might otherwise sit. Verified 12 September 2026.

Source: Vendor Published
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

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.

Principles are published without a mechanism, a testing regime or anything a buyer could audit, which is the C band. The principles are real and are set out as four named pillars: firm-centric by design, responsible by principle, grounded in legal expertise, and engineered for trust, the second glossed as designed to be governed, transparent and human-centered. Around them sit assertions of controlled orchestration, safeguards and validation, and a claim to deliver explainable technology.

None of it is a mechanism. No governance framework is named, no certification such as ISO 42001 is claimed, nobody inside the vendor is identified as accountable for AI, nothing describes what is evaluated before an agent ships, and no finding from any evaluation has been disclosed. The bias limb is unaddressed and it is not theoretical on this estate, which is why the note says so plainly. The vi suite ships AI-powered employee performance reviews, sentiment analysis and auto-summarisation, and the Talent Agent drafts evidence-based associate assessments and identifies development themes from performance history and feedback.

That is a model writing evaluations of named individuals inside a firm, feeding decisions about advancement and work allocation, in a jurisdiction where employment discrimination is actionable. Nothing published addresses whether those assessments are even across the people being assessed, what the model was trained on for that purpose, or how a firm would audit the output. Verified 12 September 2026.

Source: Vendor Published
CC on AI Safety and Data StewardshipA generic privacy policy covers the product without addressing what happens to documents and prompts after processing.

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.

Access is addressed and what happens to data after processing is not, which is the C band, and here the gap has a documented cause rather than being simple silence. What is published on the protection side: SOC 2 Type 2 examinations completed across named products, graded on the certifications row; a statement that agents follow product permissions and firm controls; a statement that MADDI aligns with each firm's existing permissions, configurations and governance; and, on the input side, a specific and unusual commitment that all input to the AI architecture undergoes masking, anonymisation and filtering, alongside the statement that confidential, intellectual property, personally identifiable and sensitive data are not used for model training.

What is absent is the entire data lifecycle. No retention period is published for prompts, outputs, agent working records or customer data generally. No deletion or return commitment on termination was located. No subprocessor list exists on any surface. No incident notification commitment to customers was located. The reason is structural and is recorded as a finding rather than a retrieval limit: there is no published customer agreement, and the privacy notice, last updated March 2024, expressly excludes personal data processed on behalf of customers through the products, so the one published instrument that might carry these commitments removes itself from the question by its own terms. Verified 12 September 2026.

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

AI Liability and Recourse

What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.

Nothing published on who bears the loss when the system is wrong was located, which is the D band. No warranty, indemnity, liability cap, exclusion, service level, service credit or insurance position appears on any surface read. The cause is that no customer agreement is published at all. The complete legal inventory in this vendor's footer is a privacy notice, an API terms of use, a modern slavery and human rights statement and a code of ethics; there is no master subscription agreement, no terms of service, no data processing addendum and no order form template.

This is an enterprise vendor selling to the Am Law 200 under negotiated contracts, so an agreement certainly exists, but the buyer cannot read any of it before entering a sales process, which is precisely what this axis measures. The API terms of use is published and was not opened; under R25 it is named and not treated as load-bearing, because it governs consumers of the application programming interface rather than the platform and its AI, and a liability regime for API access would not settle what the vendor stands behind when an agent misprices a matter or a general ledger answer is wrong.

The exposure is worth stating because it is concrete rather than abstract: the AI here drafts appeals against e-billing deductions, prioritises collections, recommends billing codes and forecasts revenue, and every one of those errors has a direct financial consequence for the firm or its client. Verified 12 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, named and dated, with the direction described on the one that matters most, short of documentation an implementer could work from. Three named partnerships are published as announcements on the vendor's own newsroom. The Harvey integration is the deepest and the most specific: it connects Harvey's AI-performed legal work to iTimekeep so that completed work becomes draft time entries which lawyers review and submit through the firm's standard approval process, which states both what moves and in which direction.

The First AML integration brings automated anti-money-laundering and client due diligence checks into Expert and Expert Sierra, described as enabled through Aderant's professional services team. The LawPay partnership was renewed on a multi-year basis for payments. Beneath the partnerships sits genuine internal interoperation: sixteen products across financial management, work-to-cash, docketing and talent, with Stridyn as the common cloud platform and MADDI spanning them, and the Agent Center's stated design is that agents draw authorised billing, receivables, time, rates, talent and financial data from whichever Aderant products the firm licenses.

An API exists and is real enough to have its own published terms of use. What holds it off A is documentation: no public API reference, developer portal or connector register was located, no configuration detail is published for any integration, and the First AML route is stated to run through the vendor's own services team rather than through self-service configuration. Verified 12 September 2026.

Source: Vendor Published
CC on Deployment Model and Data ResidencyCloud delivery is implied and neither the tenancy model nor the region is stated.

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.

Cloud delivery is stated plainly and neither the tenancy model nor the region is published, which is the C band. The delivery model is not in doubt and is described repeatedly: Stridyn is the vendor's AI-driven cloud platform, Expert Sierra is the cloud successor to the on-premises Expert product, and the current marketing is built around cloud migration, with a webinar series addressed to firms moving from Expert to Expert Sierra.

So a buyer knows the product is cloud-delivered and knows there is a migration path from an installed predecessor. What a buyer cannot learn is anything below that. No region, country or data centre location is named anywhere on the surfaces read. No cloud provider is identified. No residency option is offered or refused. No tenancy model is described, so nothing states whether a firm's data sits in a shared or isolated environment.

And nothing distinguishes where data is stored from where it is processed, which is a live question on this record for a specific reason: the AI layer's own hosting is never addressed, and the vendor's account of what sits behind MADDI is inconsistent, so a buyer cannot tell whether inference happens inside the same environment as the firm's financial data. The gap is more consequential than it would be for a domestic vendor, because Aderant reports clients in 26 countries and offices across North America, Europe and Asia-Pacific, and European firms have residency obligations that nothing published addresses. Verified 12 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, current and stated with its scope named product by product, and no evidence behind it is reachable at all, which is the B band. The scope naming is what distinguishes this record and it is better than most: rather than a single unexplained claim, the vendor publishes dated announcements of completed SOC 2 Type 2 examinations identifying which platforms each covers, one for Expert Sierra, vi by Aderant and iTimekeep, and a separate one for Onyx.

A buyer can therefore tell which products sit inside the audited boundary and which do not, which is the question the scope section of a SOC 2 report exists to answer and which most vendors leave open. C does not fire: these are announcements in the vendor's own voice with named subject matter, not badges on a page. What is missing for A is the whole evidentiary apparatus and any route to it. No auditor is named on any first-party surface read.

No report period or observation window is published, no certificate or report number, and no statement of which trust services criteria are covered. There is no trust centre or security page of any kind on the estate: the footer's complete inventory is a privacy notice, an API terms of use, a modern slavery statement and a code of ethics, so R5 is not reached because there is no access flow to grade, not even a sales-gated one.

Nothing is published on penetration testing, vulnerability remediation or incident response. Verified 12 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 describes what sits underneath in two ways that contradict each other and identifies nothing in either, which is the C band. The first account is that the technology is proprietary: MADDI is stated to be developed entirely in-house by Aderant's research, development and engineering teams, purpose-built, and not retrofitted from general-purpose AI models. The second account appears on the same page: MADDI is stated to combine enterprise-grade model platforms with Aderant's legal-domain expertise and proprietary AI capabilities.

Those cannot both be the whole truth, and R37 rule 2 governs, so neither is picked as the favourable one. What the conflict reveals is the thing the band measures: no model is named, no version is given, no provider is identified, and a buyer cannot tell whether their firm's financial data is processed by a model Aderant built or by a third-party platform Aderant licenses. Nothing states where inference runs and no commitment to notify customers when the model or provider changes was located.

There is no subprocessor list anywhere on the estate that would answer the question by another route. One adjacent disclosure is recorded and expressly not credited to this vendor's own supply chain, because it is a partner's model rather than a component of MADDI: the published Harvey integration brings Harvey's AI-performed work into iTimekeep, and Harvey is a named third-party AI whose own disclosures are its own. Verified 12 September 2026.

Source: Vendor Published
DD on Commercial TransparencyNo pricing information published at any level, including the unit of charge.

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.

No pricing information is published at any level, including the unit of charge, which is the D band. There is no pricing page on the estate, and this is a page-inventory finding rather than a retrieval limit: the full navigation was read and it carries Solutions, Learn, Careers, Service and Support, About Us, Product Login and Momentum, with no pricing tier anywhere, and the single call to action across every page is to request a demo.

Nothing states whether the platform is licensed per user, per timekeeper, per firm or per module, nothing indicates a minimum, and no figure, band or term appears for any of the sixteen products. Under R10's closing discipline an estate that only invites a sales conversation is an absence and belongs in this note alone, so no VendorPricing row is written for this record. Two things are recorded and neither is credited.

The vendor publishes a marketing blog answering the objection that its cloud product costs two to three times the incumbent one, framed as a full cost comparison; it was not opened, and it is named here rather than treated as load-bearing because a blog answering a migration objection is not a published price and could not supply a unit of charge. And the agreement that would carry commercial terms does not exist publicly either, there being no master subscription agreement or order form template on the estate.

The absence is worth weighing against the buyer: these are Am Law 200 firms making eight-figure platform decisions with no published starting point. Verified 12 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.

Segment coverage is described with real substance and evidenced by scale, with the boundaries left open, which is B. Who this is for is unambiguous and is demonstrated rather than claimed: law firms, and predominantly large ones, with published figures of more than 2,500 client firms, 98 per cent of the Am Law 200, 86 per cent of the Global 100 and 26 countries served. Functional coverage is enumerated product by product across four named groups, financial management, work-to-cash, docketing and calendaring, and people management, so a buyer can see exactly which parts of a firm's operations the estate reaches.

Roles are addressed by implication throughout, the buyer being finance, billing, operations, talent and compliance leadership. R15 applies to two limbs of the A band and the note says so rather than penalising silently: practice areas are not applicable, because this is business-of-law infrastructure that does not vary by whether the firm does patent litigation or trusts and estates; and in-house and government use are neither claimed nor relevant to a product built around law firm timekeeping, realisation and outside counsel guideline compliance.

What holds it off A is that the limits are not stated. No firm size floor is published, so a small firm cannot tell whether it is a customer; nothing identifies a segment the product is not for; and, most concretely, agent availability is stated to depend on which Aderant products a firm licenses without publishing which agent requires which product. Verified 12 September 2026.

Source: Vendor Published
Sources on file

5 public documents

The public pages on file for Aderant, 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.

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.

A public product page states no training on customer content and no agreement exists in which to look for a matching term, which is this value in both of its limbs. The statement is on the MADDI page under a heading about how the AI is built, and it is more specific than most policy-level commitments: the AI architecture does not use any confidential, intellectual property, personally identifiable or sensitive data for model training, and all input undergoes rigorous quality controls including masking, anonymisation and filtering.

The same page adds that MADDI is developed entirely in-house and not retrofitted from general-purpose AI models, which if accurate narrows the number of parties who could train on anything. R43(1) was run and is the reason this value rather than a contractual one is recorded: the estate was searched for an agreement and there is none. The complete legal inventory in the footer is a privacy notice, an API terms of use, a modern slavery statement and a code of ethics, and the privacy notice expressly excludes personal data processed on behalf of customers through the products.

So there is no published instrument in which a training term could sit, and the commitment a buyer has is a marketing page the vendor can revise without notice. Two qualifications belong on the record. The commitment is framed by data category rather than by source, so it turns on what the vendor classifies as confidential or sensitive in a firm's billing, time and evaluation data. And the same page describes MADDI as continuously learning, which is not reconciled anywhere with the no-training statement.

Source: Vendor Publisheddoes not use any confidential, intellectual property, personally identifiable, or sensitive data for model trainingAs of Sep 12, 2026Evidence

Prompt and Output Retention

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

Not addressed

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

No located public material states how long prompts, outputs or agent working records are kept, and the absence is established rather than untested because the one instrument that would carry it excludes itself. The privacy notice, last updated 8 March 2024, contains a data retention section, and that section governs personal data the vendor holds as controller about website visitors, marketing contacts and authorised users.

Its exclusions clause removes the material this signal is about, stating that the policy does not apply to personal data processed on behalf of customers in the vendor's role as processor through its online products and services. No customer agreement, data processing addendum or trust centre exists on the estate in which a retention period for product data could otherwise appear. What is published about the AI's handling of input goes to treatment rather than duration: all input is stated to undergo masking, anonymisation and filtering, and agents are stated to keep a clear record of the information used and the work prepared.

That second statement makes the gap sharper rather than softer, because it confirms that a durable record of each agent run exists without saying how long it is kept or who can reach it. The one retention-adjacent commitment located is generic: personal data is retained as long as necessary for the purposes described, with periods available on request by email.

Source: Vendor PublishedAs of Sep 12, 2026Evidence

Ethical Walls and Matter Segregation

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

Claimed, not documented

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

A permission model is claimed repeatedly and described nowhere, which is this value. The claim is made three times in the vendor's own words and is consistent: agents follow product permissions and firm controls; agents use authorised billing, receivables, time, rates, talent and financial data from licensed Aderant products; and MADDI helps firms work smarter while aligning with their existing permissions, configurations and governance.

Read together those say that the AI inherits whatever access model the firm has already configured in its Aderant products rather than introducing a second one, which is the right architecture and is worth recording as such. What is missing is any description of the model it inherits. Nothing published sets out roles, permission groups, matter-level or client-level restrictions, how a firm configures them, or how the AI behaves when a user's own permissions would not reach the underlying data.

There is no security page or trust centre on the estate in which such documentation might sit. The question has a particular edge on this product and it is recorded rather than left implicit: the Talent Agent drafts associate evaluations from performance history and feedback, and the Rates Agent handles rate approvals and opt-outs, both of which are material a firm would ordinarily restrict tightly, and nothing states whether an agent answers within the asker's permission scope or across the firm.

Source: Vendor PublishedAgents follow product permissions and firm controlsAs of Sep 12, 2026Evidence

Third Party Request and Subpoena Notice

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

Not addressed

No located term or policy addresses third party requests for customer data.

No located public material addresses what happens when a third party demands customer data, and the distinction that produces this value rather than the one above it is worth stating precisely. The privacy notice does address disclosure to authorities: it lists law enforcement, government agencies and other regulators among the recipients of personal data, to comply with law or legal requirements, to enforce agreements and to protect the vendor's rights, and it makes no commitment or reservation about telling anyone.

On its face that is the disclosure-addressed-notice-absent shape. It is not recorded that way because of what the same document says about its own scope: the notice excludes personal data processed on behalf of customers in the vendor's role as processor through the products. The law-enforcement provision therefore governs website visitor and marketing data, not a law firm's billing, time, matter, rate or evaluation records, and recording it as the vendor's position on customer data would grade the wrong object.

On the material this signal is actually about, nothing is published in either direction, because no customer agreement exists on the estate. No transparency report was located. The stake is not trivial: this platform holds the complete financial and timekeeping record of Am Law 200 firms, which is material that tax authorities, regulators and opposing parties in fee litigation have reason to seek.

Source: Vendor PublishedAs of Sep 12, 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?

Not addressed

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

No located public material identifies a source corpus, and R15 governs how heavily that reads, so the note states the position rather than leaving it to inference. This product's AI does not answer from a body of law. askMADDI queries a firm's own ledger, receivables, time and analytics data, and the seven agents work on that firm's e-billing deductions, collections, rates, evaluations, forecasts and outside counsel guidelines.

There is no external legal corpus whose provenance or licensing this signal would ordinarily test, and the vendor is not withholding something its product class implies. What is genuinely unaddressed, and is why the value is recorded rather than treated as inapplicable, is what the models were built on. The vendor states that MADDI is developed entirely in-house and not retrofitted from general-purpose AI models, and separately that it combines enterprise-grade model platforms with proprietary capabilities, and it says nothing about what any of it was trained on.

It also describes MADDI as pre-trained and ready to deliver value on day one, which is a claim that training happened on something, and the something is never identified. The nearest thing to a named corpus is the customer's own material: the Compliance Agent works from the firm's outside counsel guidelines and cites their source language, which is the customer's document rather than a licensed body of content.

Source: Vendor PublishedAs of Sep 12, 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 the question does not arise. Nothing in the estate cites law. The AI answers questions about a firm's finances and operations, drafts billing appeals and collections outreach, prepares evaluations, recommends billing codes and builds forecasts, and none of that produces a proposition about the state of the law whose treatment a lawyer would verify.

R15 governs and the limb is recorded as inapplicable rather than failed. Two adjacencies are worth naming so a reader does not mistake them for the thing. The Compliance Agent finds applicable requirements in outside counsel guidelines and cites the source language, which is currency of a contract rather than currency of an authority, and it is graded on the citation accuracy row. And the docketing and calendaring products, Milana, CompuLaw, Deadlines.com and Forms Workflow, depend on court rules being current, which is a genuine staleness question for a deadline calculation engine; nothing published describes how those rule sets are maintained or verified, and it is recorded here because it is the closest analogue on this estate to the concern this signal exists for, without being that concern.

Source: Vendor PublishedAs of Sep 12, 2026Evidence

Refusal and Uncertainty Behaviour

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

Not addressed

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

No located public material describes what the AI does when it cannot produce a reliable answer. The surfaces where it would be described were read in full on the date shown: the MADDI platform page, the Agent Center page with all seven agent descriptions, the home page and the two 2026 announcements. None states that an agent declines a task, flags low confidence in a draft, surfaces uncertainty to the reviewer, or puts an ambiguous request back to the user.

The published account is uniformly confident, describing agents that prepare, prioritise and draft, and an assistant that returns clear, structured answers to plain-English questions. One feature is adjacent and is deliberately not credited, with the reason stated: the GL Forecasting Agent is described as producing forecasts with confidence ranges and variance analysis. A confidence interval is a property of a statistical estimate and a normal part of forecasting output; it is not a statement that the model is unsure whether its answer is right, and it appears on one agent of seven.

The general assertion that the vendor applies controlled orchestration, safeguards and validation is a claim about build quality rather than a described runtime behaviour. The gap matters most where the output is quantitative and consequential, such as a general ledger answer given to a partner or a UTBMS code recommended across a matter, because a confidently wrong number is harder to catch than a refusal.

Source: Vendor PublishedAs of Sep 12, 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 12 September 2026, on the company name and on the AI feature name, against published trackers and coverage of decisions on AI-generated fabricated citations, including coverage of the Damien Charlotin AI Hallucination Cases database and reporting on the 2025 and 2026 sanctions decisions in the federal circuits and state appellate courts. None located. Under R119 this signal records fabricated citations and nothing else, so it is not a litigation history and no other proceeding involving the vendor or its parent would appear here.

One point of context is recorded because it bears on how the result should be read: this product generates no legal authority, its AI being confined to a firm's financial, timekeeping, rate, talent and guideline data, so the exposure the signal tracks is not the exposure this product presents. Its analogous failure would be a fabricated or misattributed figure in an e-billing appeal or a general ledger answer, which no tracker records and which would surface, if at all, as a fee dispute or a client billing challenge rather than as a sanctions order.

Source: Bar Guidance or Court RecordAs of Sep 12, 2026
Professional Responsibility

Bar Guidance Alignment

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

Not addressed

No located public material engages with bar or ethics guidance.

No located public material engages with bar or ethics guidance, in general terms or otherwise. No bar opinion is named anywhere on the estate, ABA Formal Opinion 512 does not appear, no state or international guidance on AI use by lawyers is referenced, and nothing maps any product or agent to a rule of professional conduct. Nor is professional responsibility engaged generically: there is no statement requiring the customer to use the platform in compliance with its professional obligations, which is the kind of clause that would ordinarily sit in a customer agreement, and no customer agreement is published.

The vendor's trust language is commercial and technical throughout, built on four pillars described as firm-centric, responsible by principle, grounded in legal expertise and engineered for trust. The absence has a specific edge that is recorded rather than passed over. Opinion 512 addresses fees directly, and this vendor's AI operates on exactly that surface: the Time Agent improves the narratives that appear on a client's invoice and recommends the billing codes those narratives are coded to, the Appeals Agent drafts arguments for why a client's deduction should be reversed, and the Harvey integration converts AI-performed legal work into billable time entries. That is the fee and candour territory bar guidance now covers, and the vendor engages none of it.

Source: Vendor PublishedAs of Sep 12, 2026Evidence

Billing and Fee Posture

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

Savings claims only

Public materials claim time savings without addressing billing or disclosure, and the product sits inside a fee relationship between a lawyer and a client where those savings would change the bill.

AMENDED 12 September 2026 under R124(1), from audit-record. Time savings are claimed across the estate, the product sits squarely inside a lawyer-to-client fee relationship, and nothing addresses billing or disclosure, which is this value. The mechanism that prompted the higher grade is real and is recorded here rather than removed, because a reader should see it: the iTimekeep integration with Harvey converts work completed in Harvey into draft time entries that lawyers review and submit through the firm's standard approval process, and the vendor headlines it as turning AI-powered legal work into billable time.

That is the most direct route from AI-performed work to a client's invoice in this corpus. It does not reach audit-record because the limb that value turns on is attribution rather than capture: a record of work that happens to have been done with AI is not a record of AI-assisted work unless the record identifies it as such, and no surface read states that the resulting entries are marked, tagged or otherwise distinguishable from any other entry in the firm's own time records.

R124 settles that for the practice-management class generally, holding that a time entry pipeline is not by itself an AI billing record. The savings claims are published and unambiguous: reduced administrative work, more staff capacity, less time gathering information and preparing drafts, faster billing, and improved realisation. The related agent-level record, that each agent keeps a clear record of the information used and the work prepared, is an internal working trail rather than a fee record and is graded on the autonomy row.

Nothing published addresses whether AI-assisted work is identified on a bill, disclosed to a client, or priced differently, and the vendor's stated commercial purpose runs the other way, toward recovering lost billable time and reducing revenue leakage.

Source: Vendor Publishedturning completed work into draft time entries that lawyers review and submit through their firm's standard approval processAs of Sep 12, 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 this signal looks for exists, and the reason this record needs a careful note is that the vendor sells outside counsel guideline compliance as a product. Onyx is described as the only solution to completely automate and unify OCG compliance across time, billing and e-billing, MADDI extracts key terms from guidelines and enforces them through the billing process, and the Compliance Agent turns guidelines into machine-readable rules while citing their source language.

None of that is credited here, and the ground rules are why: that is a mechanism the customer operates against its own clients' guidelines, not a disclosure the vendor makes about itself, and crediting it would work one fact across two rows and answer a question nobody asked. This signal asks whether a firm can get this vendor through a client's AI clause, and on that the estate is silent. No subprocessor list is published anywhere.

No model provider is named, and the vendor's own two accounts of what sits underneath contradict each other. No data processing addendum, security exhibit or forwardable client-facing pack was located, and there is no trust centre. The value is not on-request either, because nothing indicates such material exists behind a request process. The irony is worth recording rather than editorialising: a firm running its client's AI clauses through Onyx would find nothing in Onyx's own vendor to put in the answer.

Source: Vendor PublishedAs of Sep 12, 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 AI involvement in legal work, and the product's output makes the question an indirect one, which the note states rather than forcing the signal. Nothing this AI produces is filed. The agents draft e-billing appeals, collections outreach, associate evaluations, time narratives, rate explanations and financial forecasts, so the certification regimes that now attach to court filings in several jurisdictions do not reach this output in the ordinary case.

Within that narrower frame the position is worth recording rather than dismissing, because one published feature comes close and stops short. The Agent Center states that agents work with a clear record of the information used and the work prepared, which is a genuine provenance trail and the closest thing on this estate to an AI activity record. It is recorded here and graded on the autonomy row rather than credited as disclosure support, because nothing states that the record identifies which model produced a passage, distinguishes machine-drafted from human-edited text, survives export, or is available to anyone outside the firm.

The realistic route to a tribunal is indirect and specific: an e-billing appeal drafted by an agent is an assertion to a client about work performed, and if a fee dispute or a billing audit followed, nothing published would let a firm establish afterwards which words its people wrote.

Source: Vendor PublishedAs of Sep 12, 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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