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Ajax
Ajax is a passive timekeeping product for law firms that bill by the hour. A desktop app captures the whole working day across documents, email, browser, VoIP calls, calendar, Zoom and Teams, and reads the content of the work rather than window titles or calendar subjects. It groups related activity by matter and drafts a time entry with a narrative, matter and activity code, written in the timekeeper's style and learning from their corrections.
The timekeeper reviews, edits and releases entries into the firm's billing system in one click; eight systems are named, including Clio, MyCase, Filevine, PracticePanther, SurePoint, Centerbase, Actionstep and Soluno. The same capture also files email to the right matter and drafts client updates from recent work. A compliance feature reads a client's outside counsel guidelines, extracts rules, lets the firm keep or drop each one, and links every rule to the page it came from.
Entries are visible only to the timekeeper until released, capture can be paused in one click, and the published agreement deletes raw data after 30 days and processed data after 60. The vendor is NapoleonScout, Inc., trading as Ajax.
Ajax, head to head
Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.
Alternatives to Ajax
Other products that do the same kind of work as Ajax, and what each one does.
- PPointOnePointOne is an AI timekeeping and billing platform for law firms and government legal offices. Its Time product captures a lawyer's working day across documents, email, calls and the web and writes the time entries itself.
- OOntraOntra is an AI platform for private markets firms, covering the routine legal and compliance work around funds.
- TTonkean LegalWorksTonkean LegalWorks is matter lifecycle management for in house legal departments, built to get the business to use legal's processes.
- LLuplLupl is a legal work management platform for law firms and legal departments, owned by Elevate since August 2026.
- PPlexusPlexus is a legal operations platform for in house legal teams, sold as an AI powered Legal OS. Business users raise requests through guided intake forms that assign each matter to the right lawyer or team, and AI fills intake answers from an uploaded contract.
- SSandstoneSandstone is an AI platform for in house legal departments that it now calls legal relationship management, with an AI native CLM it says is ready in days.
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.
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.
Take the models out and there is nothing to sell. The capture layer produces a stream of activity across documents, email, browser, calls, calendar and meetings. Everything the buyer pays for happens after that, when a model reads the content of the work, decides which matter it belongs to, groups fragments together and writes a narrative in the timekeeper's own voice with an activity code. The vendor draws the line itself, contrasting its product with tools that record activity without writing entries.
The engine that turns a client's outside counsel guidelines into limits on wording is model work too. Without any of it, what remains is a timesheet of raw activity that a lawyer still has to write up.
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.
For a timekeeping product, accuracy means whether an entry is right: the right work, the right matter, the right duration, and a narrative that describes what happened. The method is described. The vendor says it reads the content of the work rather than window titles or calendar subjects, clusters activity scattered across the day on one matter into a single entry, and identifies the client and matter by matching what is on screen against a live map of the firm's matters.
It also publishes a figure, twice in an explainer of 7 July 2026: matter matching is right about 92 percent of the time and improves as the system learns a firm's people, documents and topics. Publishing a figure below 100 is candid, but it is not something a reader can test. There is no sample, period, method or definition of a correct match, and nothing says what happens to the rest beyond the lawyer's review catching them. No figure is published for the narratives themselves, as distinct from matter matching.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
The review step is built into the product, not just advised. Nothing the model writes reaches the firm's billing system on its own. Entries are drafted through the day, only the timekeeper can see them until they release them, and release is a deliberate act. The timekeeper can edit or delete any entry and stop capture with one click, and the vendor says nothing is captured until they choose to resume. The FAQ also answers supervision the other way: the firm cannot see a timekeeper's hours before release.
The rest of the control structure is not published: no point at which the model declines to write an entry, nothing on what happens after a wrong entry goes out, and no statement of what the system may not be used for.
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.
Deployment evidence is extensive, but undated and without method. Ten firms are named with practice area, city and a figure. They include Almazan Law in Florida at 1.1 extra billable hours a day, Poole Huffman in Georgia at $32,000 recovered a month, Kirker Davis in Austin at $4,639 per timekeeper a month, Pines Federal at $42,000 a month, King Law at 121 active users across 24 offices, and Quill & Arrow at 270 professionals.
Named attorneys are quoted for each. Sixteen more testimonials carry names, titles and firms, and the vendor says fourteen customers went on to invest personally. But no case study carries a date, and no method is given for the return multiples, so figures like 67x and 58x cannot be checked or compared.
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.
For a product that reads everything on a lawyer's screen, the published commitments are substantial, with one structural gap. The addendum of 5 August 2026 prohibits training, retraining or fine tuning on customer data and binds the named model providers to the same. Raw data is deleted after 30 days and processed data after 60, and everything is deleted within 30 days of termination. Confidentiality runs both ways in the terms.
Access is handled at the level this product needs: drafted entries are visible only to the timekeeper until released, and capture stops with one click, which is the control a lawyer on a sensitive matter needs. The vendor says in its own words that its users handle privileged client data. But privilege and work product are not addressed as such, and nothing covers separation by matter, which matters when a timekeeper is screened off a matter the capture would otherwise read.
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.
A real position on review before billing is published, and it lives in the wrong place to earn more. An explainer of 7 July 2026 states that the lawyer's job shrinks to review, check the drafts, fix what's wrong, release to billing; that this does not mean the software bills for you; and, answering whether the output is accurate enough to bill from, that the entries are drafts until a lawyer approves them, which is what keeps billing defensible.
The same page answers whether lawyers still review entries before they are billed with a plain yes, and says drafts stay drafts until the lawyer approves them. That engages the duty this product actually raises, which is the lawyer's responsibility for a narrative the client will read as their own account of their work. Three things hold it here. The position sits in a category explainer on the blog, not in the terms, the product pages or anything a customer signs.
The fee rules the vendor names elsewhere are never connected to its own product. And nothing addresses found time, flat fees, or what a client is told about how the entry was written.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
Nothing is published about how the models are governed. No one is named as accountable for what they write, nothing describes testing before a change ships, no evaluation results appear, and the privacy policy says plainly that the vendor does not test, verify or endorse AI outputs. Nothing addresses whether entry quality holds up across practice areas, seniority, or work that leaves little digital trace, which is the obvious question for a product whose output becomes a bill.
The closest thing to governance is the outside counsel guideline feature, which shows extracted rules to the firm with a link to the source page before they take effect, but that governs the client's rules, not the model.
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.
All five elements are published in specific terms. Retention: raw data is deleted after 30 days and processed data after 60, stated the same way in the terms, the privacy policy and the addendum, and changeable only by written customer instruction. Deletion: everything is deleted or irreversibly anonymized within 30 days of termination. Access: SAML 2.0 and SCIM provisioning through the firm's identity provider, central control, automated onboarding and offboarding, and entries visible only to their author until release.
Subprocessors: seven are named, including the model providers. Incidents: notice to the customer within 48 hours of becoming aware, with a commitment to remediate. Encryption is AES-256 at rest and TLS 1.2 or better in transit. One inconsistency: the security FAQ says the vendor does not store customer data, while the agreement and addendum publish the 30 and 60 day windows.
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.
What is published disclaims the exposure rather than allocating it. The service is provided as is, with no warranty of any kind and no undertaking that it will be error-free; AI outputs are expressly not guaranteed to be accurate, complete or suitable for any purpose, and the privacy policy adds that the vendor does not test or verify them. Liability is capped at the fees paid in the preceding twelve months and indirect, incidental, special, consequential and punitive damages are excluded.
No indemnity of any kind runs from the vendor to the customer, not even for intellectual property, and no insurance is mentioned. For a product whose output is a bill a client will scrutinize and a lawyer will sign, nothing published says what happens if an entry is wrong.
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 integrations are real and named, and the depth stops at a sentence each. Eight billing and practice management systems are supported by name, each with its own page: Clio, MyCase, Filevine, PracticePanther, SurePoint, Centerbase, Actionstep and Soluno, with the claim that most other billing systems work too. What moves is clear enough: released time entries with matter, activity code and narrative already applied, out of Ajax and into the system of record.
An explainer of 7 July 2026 goes further and calls two-way sync with all eight table stakes, without saying what comes back the other way, or what happens to an entry edited in the billing system after release. On the capture side the product connects to work email, Microsoft Teams or Slack, calendar, Zoom and supported VoIP platforms, with RingCentral, Dialpad and VXT named. What an implementer would need next is not published: no field mapping, no sync behavior on edits or deletions, no error handling, and no API documentation, which the vendor offers to share with a technical team on request.
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 clearly delivered from the cloud, and neither tenancy nor residency is answered. There is a desktop app and a hosted service behind it. Nothing published names a hosting provider, region, data center or tenancy model, or separates where the software runs from where captured work sits. The addendum comes closest. It says customer data may be processed in the United States and other countries where the vendor operates, naming no other country and offering no choice, and commits to standard contractual clauses for European transfers and Australian privacy law for Australian ones.
For a product that reads privileged documents across a firm's whole working day, a security reviewer has nothing published to start from.
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.
The certification is stated plainly, but the evidence behind it cannot be reached. The security page claims SOC 2 Type II certification, describing independently audited security controls, data handling and infrastructure, and the terms add CASA certification. Independent audits, penetration testing and round the clock endpoint monitoring are also claimed. None of it has detail behind it: no auditor is named, no report period, scope or date is published, and there is no trust portal or route to the report. The only offer is a security review call, booked through the same form as the sales demo.
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 providers are named, and the disclosure stops there. The addendum lists seven subprocessors and three of them are model providers: OpenAI, Anthropic and Google Gemini, alongside BaseTen for model serving, Amazon Web Services, Vercel and PostHog. The same section binds all of them not to retain or use customer data for their own training or fine tuning, which is the part a firm's client would ask about. What is absent is everything downstream of the name: no model or version is identified, nothing states which provider handles which part of the work, nothing says where inference runs, and no commitment is given to notify customers when any of it changes.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
The shape of the deal is published in detail and the number is not. There is no pricing page; the vendor answers the question in a post of its own titled how much Ajax costs, and answers it structurally: priced per seat rather than firmwide, because a firm should not pay for timekeepers who keep their own system, with a stated expectation of 70 to 80 percent take-up; contracts are annual; a two-week pilot on the firm's real work comes before any commitment.
Elsewhere the vendor frames cost against return, saying one recovered hour per user per month covers the subscription and that payback typically lands inside eleven days, and describes itself as premium-priced in its category. The exact figure depends on firm size and seat count and is quoted on a call. No list price, no tiers and no range appear anywhere on the estate.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
Coverage is shown through customers rather than claimed. The named firms span workers' compensation and insurance defense, general practice, family law, personal injury and business litigation, firms with several practice areas, lemon law, community association work and federal employment law. They are in Florida, Colorado, Virginia, Texas, the Carolinas, Tennessee, California, Georgia, Maryland and the District of Columbia, and range from solo and boutique practices to 121 users across 24 offices and 270 professionals.
The real limit is implied, not stated: the product is built for timekeepers who bill by the hour and work on a screen, so contingency work, flat fee work and work done away from a computer fall outside it. Nothing published says so, or names practice areas or firm sizes the vendor does not serve.
7 public documents
The public pages on file for Ajax, 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.
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joinajax.com2 signals
Primary Law Corpus Provenance, Billing and Fee Posture
Read Sep 20, 2026
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joinajax.com/legal/data-processing2 signals
Client Data in Training, Outside Counsel Guideline Readiness
Read Sep 20, 2026
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joinajax.com/legal/privacy-policy2 signals
Third Party Request and Subpoena Notice, Refusal and Uncertainty Behavior
Read Sep 20, 2026
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Bar Guidance Alignment
Read Sep 20, 2026
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joinajax.com/legal/terms-of-use1 signal
Prompt and Output Retention
Read Sep 20, 2026
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joinajax.com/security1 signal
Ethical Walls and Matter Segregation
Read Sep 20, 2026
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Fabricated Citation Record
Read Nov 9, 2026
No published figure
- Ajax does not publish a price. What it does publish is how the pricing works.
- It is charged per seat, not per firm. The vendor's reasoning is that timekeeping is personal and some people at a firm will keep their own system, so it would not be fair to make the firm pay for everyone; it expects 70 to 80 percent of a firm's timekeepers to take it up.
- Contracts are annual.
- The exact rate depends on the firm's size and the number of seats, and is quoted on a call.
- Before any of that there is a two-week pilot on the firm's real work, and the vendor states that firms decide after seeing their own numbers.
- The cost framing the vendor uses instead of a figure is that one recovered billable hour per user per month covers the subscription, with payback typically inside eleven days. It describes itself as premium-priced in its category.
The unit and structure are published; the figure is not. Pricing is per seat, not firm wide, and the vendor gives its reasoning: a firm pays only for timekeepers who use it, because some will keep their own method, and a successful rollout reaches 70 to 80 percent of a firm's timekeepers. Contracts are annual, with a two week pilot on the firm's real work before signing, presented as the decision point. The rate depends on firm size and seat count and is quoted on a call.
No list price, tiers, range or seat minimum appears anywhere, and there is no pricing page; the question is answered in a vendor post titled how much Ajax costs. The cost case is made as a return rather than a number. One recovered billable hour per user per month covers the subscription, payback is typically within eleven days, and firms capture 12 percent more billable hours on average. The vendor describes itself as priced at the premium end of its category. Onboarding is described as included and white glove, covering billing guideline intake, integration and installation.
Implementation: None published as a separate charge. The vendor describes white-glove onboarding as included, covering billing guideline intake, practice management integration and installation, with setup stated as taking about five minutes at the user end: download the application and connect the billing system. A two-week pilot precedes the contract. No migration, configuration or training fee is mentioned anywhere on the estate.
Confidentiality and data terms: No Business Associate Agreement is offered or referred to on any surface read, and none would ordinarily be expected: the product captures a lawyer's own working day and writes time entries, and the compliance frame the vendor publishes is SOC 2 Type II, CASA certification, GDPR, CCPA and the other state privacy statutes named in the addendum. Worth recording for a reader who assumes otherwise: the capture is indiscriminate by design, reading documents, email and calls across whatever the timekeeper works on, so a firm with a healthcare practice will have protected health information pass through the product even though nothing here is sold or certified as a health system.
Note: No figure is published anywhere, so no entry price is recorded, rather than a price of zero: there is no free tier, only a two week pilot on the firm's real work before any commitment. The unit, term and structure are published, so a buyer can learn how they will be charged, but not how much. Ajax explains its pricing in a post titled how much Ajax costs. Third party trackers list the product as contact sales with no published tiers, which matches.
Legal Signals
What each signal meansA 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.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The published terms prohibit training on customer content. Not a policy page, the agreement.
The prohibition is in the agreement, not only a policy page, and it covers the model providers too. The addendum of 5 August 2026 says Ajax will not train, retrain or fine tune any general purpose AI or machine learning model on customer data. It also bars its subprocessors, naming OpenAI, Anthropic and other LLM providers, from keeping or using customer data for their own training or fine tuning. Service improvement is limited to anonymized analytics that exclude raw or identifiable customer data.
The terms and privacy policy say the same in their own words. Two qualifiers apply. The prohibition is written for general purpose models, and the product page says the system learns each timekeeper's voice and preferences from their corrections, which the site does not connect to the training language either way.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
The customer controls the retention window, by product configuration or by contractual instruction, but zero retention is not stated as available.
Specific windows are published, and the customer can override them. Raw data, meaning the logs and screenshots behind an entry, is deleted after 30 days. Processed data, meaning the structured records derived from the activity, is deleted after 60. Everything left is deleted or irreversibly anonymized within 30 days of termination. The same figures appear in the terms, the privacy policy and the addendum, and the addendum makes them defaults that the customer can change by written instruction.
Zero retention is not offered. One inconsistency: the security page answers what happens to my data by saying the vendor does not store customer data and does not use vendors that store it, while the three documents above publish these windows.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own permission model, documented, requiring the firm to keep it aligned.
The product runs its own access model and documents it, at the level of the individual rather than the matter. Drafted entries are visible only to their author until released, and the vendor says plainly that the firm cannot see a timekeeper's hours before release and that the product will not become a tool for watching staff. Capture stops with one click and resumes only when the user chooses. Firm administration runs through the customer's own identity provider with SAML and SCIM, so joiners and leavers follow the firm's directory.
The matter is not addressed. Nothing says how capture behaves for a timekeeper screened off a conflicted matter, or whether a released narrative can carry content from a matter the reader of the bill should not see.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.
The privacy policy says a firm's confidential information can be disclosed without its approval where the law or legal process requires it. No commitment to notify the customer is made, no discretion over notice is reserved either way, and nothing addresses challenging a request or seeking a protective order first. The terms and the addendum are silent on the subject: the addendum covers security incidents with a 48-hour notice commitment, and data subject requests, but never a government or third-party demand for customer data. 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?
No located public material identifies the corpus behind the product’s answers.
No corpus question arises in the usual form and none is addressed. What the models read is the firm's own working day, the documents, emails, browser activity, calls and meetings of the timekeeper using the product, matched against that firm's own list of clients and matters. No external legal corpus, licensed dataset or cross-customer collection is used or claimed anywhere, and the addendum prohibits the model providers from retaining the material they see.
The one thing that resembles a source corpus is the client's outside counsel guidelines, which the firm uploads itself and which the product links back to page by page.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
The product writes time entries and files email; it does not cite legal authority or produce legal argument, so no question of subsequent history arises and none is described.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No located public material addresses what the product does when it cannot ground an answer.
Nothing published describes what the system does when it cannot tell what a piece of work was or which matter it belongs to. No confidence score, no flag on a low-certainty matter assignment, no described behavior for activity it cannot classify, and no account of what happens to time it captures but cannot write up. The vendor's stated position runs the other way, that it does not test, verify or endorse AI outputs and that users should review them, which allocates the duty rather than describing any abstention.
The review surface is real, since nothing releases without the timekeeper, but it is a control on the person rather than a described behavior of the model.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
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.
The AI Hallucination Cases database kept by Damien Charlotin holds no entry naming Ajax or NapoleonScout as the tool used. Ajax generates billing narratives rather than legal citations.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Public materials engage with at least one named ethics opinion.
Named guidance is cited in more than one place, but never connected to the product. Two sentences appear almost word for word in at least two of the vendor's published rankings of time tracking and billing tools. They say ABA Model Rule 1.5 requires reasonable, written fee arrangements, that ABA Formal Opinion 93-379 prohibits billing more time than was actually spent and recycling work product as original work, and that a system that lets a lawyer double bill or block bill creates real ethical risk.
That is the right guidance, named and stated correctly. An explainer of 7 July 2026 comes closest to the product. It says every serious timekeeping tool keeps a lawyer in the loop before anything reaches an invoice and that bar guidance expects exactly that, but it is general and is the only place the two are linked. Nothing maps the vendor's own machine written narratives to the duty to bill only for time actually spent, and nothing on the live pages engages the newer guidance on generative AI and fees.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
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.
The premise of this product is that the bill goes up, and nothing published addresses what the client is told. The headline claim is 12 percent more billable hours captured, with payback in eleven days, and the case studies quantify it firm by firm as recovered revenue per timekeeper per month. Nothing on any page or in any agreement addresses whether a client should know that the narrative describing the lawyer's work was drafted by software, how a firm on a flat fee should treat found time, or what a lawyer should do with an entry for work they would not previously have billed.
The nearest thing to a record of the model's work is the review screen the timekeeper sees before release, and nothing describes what it retains afterwards or what it could show a client who queries an entry. No page describes a retained, viewable record of what each entry was built from, or an edit history marking the draft against the human change.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A current subprocessor or model provider list is published.
A firm answering a client's questionnaire has most of what it needs and can read it without signing anything. The addendum names seven subprocessors, including the model providers OpenAI, Anthropic and Google Gemini, and binds them against retaining or training on customer data; the security page states the encryption standards, the certification claimed and the deletion cycle. The product also works the other way round, taking the client's own outside counsel guidelines and turning them into rules applied to every entry for that client, with each rule traceable to its page in the source document.
What is missing is the client-facing half: nothing published helps a firm tell its client that its time entries are machine-drafted, and no disclosure material exists for that conversation.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
No located public material addresses court disclosure or verification certification.
Nothing addresses disclosure of AI use to a court or an adjudicator, and nothing describes a record that would support one. The product does not produce filings; its output could reach a tribunal in a fee application or a bill of costs, and nothing published addresses that either or describes an export showing which entries a model drafted and who approved them.