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Billables AI
Billables AI records a lawyer's billable time without the lawyer recording it. Instead of timers or end of day reconstruction, it connects to the applications where work happens, including Microsoft 365 with Outlook, Teams and Word, Google Workspace, Adobe, Zoom and the Chrome and Edge browsers, and watches activity as it occurs. It separates billable work from the rest, calculates durations without start and stop input, matches work to the client and matter, reconciles overlapping activity and writes a narrative, leaving a completed daily time report in a dashboard.
It learns each timekeeper's billing preferences and writing style over time. A user's time reports are visible only to that user, who can edit or delete any record before it is exported or shared, and the terms require the customer to review output before relying on it. An intelligence layer shows firm leaders billable and nonbillable hours, realization and approval status by user, client and matter. Named customers include Tycko & Zavareei, Kronenberger Rosenfeld, Corporate Law Partners and Mohan Groble Scolaro. Billables Incorporated is based in San Francisco.
Billables AI, 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 Billables AI
Vendors in the same categories as Billables AI whose graded profiles look most alike, with a line on what each product does.
Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
- SSandstoneSandstone is an AI platform for in house legal departments built around the intake, routing and execution of legal requests.
- AAjaxAjax is a passive timekeeping product for law firms that bill by the hour.
- XXakiaXakia is a matter management and legal operations platform for in house legal teams of roughly 2 to 200 people, founded in 2016 and headquartered in Melbourne, with offices in Kansas City and London.
- DDazychainDazychain is matter management software for small to medium in house legal departments, made by Yarris Technologies of Melbourne, with an office in Boston.
- IInletInlet is AI timekeeping software for law firms that bill by the hour, from Inlet, Inc. of 169 Madison Avenue, New York.
- LLegitoLegito is a no code document automation and contract lifecycle management platform for legal, procurement, HR, finance and other back office teams, operated by Legito s.r.o. of the Czech Republic.
Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
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.
What Billables AI delivers is a set of inferences: deciding which activity in a stream of email, documents, calls and browsing is billable, calculating a duration without any timer input, matching each piece of work to the right client and matter, reconciling overlapping and multitasked activity, and writing a narrative in the timekeeper's own style. The company describes machine learning models adapting to each user's billing preferences and narrative writing style over time.
There is no conventional product beneath it and no content asset. The alternative the vendor names is manual timekeeping, and a customer on its own page contrasts the product with timekeeping applications that merely compile time from screenshots.
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.
The published figures are business outcomes, more billable time captured and less time spent on billing, not how often the system attributes work to the right matter or writes a narrative that survives review. No figure is published for matching, duration or narrative accuracy, and no evaluation or test method is described. Section 6.3 of the terms states that output may not always be accurate and that the customer must review it for accuracy and appropriateness before relying on it. Nothing describes how an entry traces back to the activity that produced it.
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.
Under a heading of human guided automation, Billables AI says a user's time reports are visible only to that user, and any billable record can be edited or deleted before it is exported or shared, so nothing the system infers about a lawyer's day reaches a billing administrator or partner until the lawyer releases it. Section 6.3 of the terms requires the customer to review output for accuracy and appropriateness before relying on it.
Nothing says what the system decides without a prompt, what threshold governs whether activity is classed as billable, what happens to activity it cannot attach to a matter, or whether bulk approval is available.
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.
Eight customers speak on the record with name, title and firm: Tycko & Zavareei, Mohan Groble Scolaro, Pulse Law, Zigler Law Group, Finch & Hammer, Kronenberger Rosenfeld, Corporate Law Partners and Acevedo Belt, across managing partners, a COO, office administrators and directors of operations. Three attach a figure to a named person: a managing partner reporting at least ten percent more time captured, a chief executive reporting thirty percent, and a founding partner saying he recouped his annual investment in two days.
Aggregate claims are footnoted to a 2025 pilot program, and the vendor itself labels one statistic as unsubstantiated. No baseline is defined for more time captured, no sample size or firm count is given for the pilot, and the aggregate figures differ across the vendor's own pages, 10 to 30 percent in one place and 15 to 30 percent in another.
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.
The product watches a lawyer work in email, documents and calls. Section 1.9 of the terms says Billables AI stores only metadata about user activity and the generated billable records, and will not store or retain underlying work product such as documents or emails, which the home page repeats as not storing privileged data. Section 1.9 also names data isolation and confirms the customer controls its data and can access, delete and manage it, and section 1.6 limits the vendor's use of Customer Data to providing the service.
Section 4 gives mutual confidentiality with notice on compelled disclosure. No model or AI provider is named, so whose model reads the activity stream is not stated, and no retention period is stated for the metadata and records kept.
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.
Billables AI gives no legal advice and creates no legal work product, but its central promise, that firms capture ten to thirty percent more billable time, bears on billing judgment: whether fees are reasonable, whether time inferred from an activity stream was properly billable to that client, and whether narratives written by a model accurately describe what the lawyer did. Nothing on the home page, in the terms of service, the footer or the solution pages for timekeepers, managing partners and legal administrators engages any of this.
No bar rule, ethics opinion or fee reasonableness principle is named, and no guidance is given on reviewing machine surfaced time before billing it. The closest language is section 6.3's requirement that the customer review output for appropriateness.
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.
No responsible AI page, framework or principles is published on the home page, in the full terms of service, the privacy and site terms, the footer or the three solution pages. No one is named as accountable for model behavior, no account of evaluation before model changes is given, and no certification such as ISO 42001 is claimed. Nothing addresses uneven output, although the system classifies which activity is billable and adapts to each user's patterns, so it may perform differently across practice areas, working styles and roles, and a model that learns from a user's history will reinforce what that history contains.
Nothing says whether the adaptation is checked for drift or for systematic over capture or under capture. The only related statement is section 6.3, which requires the customer to review output and so assigns responsibility without describing a control.
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.
Section 1.9 of the terms commits to encryption in transit and at rest, strict access controls, routine audits and vulnerability testing, secure coding, continuous monitoring and data isolation, and limits what is held: only metadata about user activity and the generated billable records are stored, and underlying work product such as documents and emails is not stored or retained. The home page adds user opt ins per connected tool, single sign on to third party applications and audited access logs, and section 1.9 confirms the customer can access, delete and manage its data.
No retention period is stated for the metadata and records kept, no subprocessor is named, and no incident or breach notification practice is published. A trust center is linked from the home page.
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.
Section 7 of Billables AI's terms caps liability at the greater of fees paid in the prior twelve months or one thousand dollars, and excludes lost profits, business interruption and other indirect damages. Section 5.2 gives the customer an intellectual property infringement indemnity covering United States and Berne Convention rights, with defined exclusions, and section 5.1 sets the reciprocal obligation. Section 6.1 warrants that the service will perform in all material respects as documented for the whole term, a functionality warranty rather than an as is disclaimer.
Support and uptime are referenced at section 1.10. The indirect damages exclusion protects only Billables AI, the sole remedy for breach of warranty under section 6.2 is prompt correction, with no refund, credit or termination right, and no insurance position is stated, while the uptime service level sits in an unpublished Service Description.
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.
Microsoft 365 including Outlook and Teams, Google Workspace, Adobe, Zoom and the Chrome and Edge browsers are the named connections, covering email, calendar, documents, calls and browsing. The customer chooses which tools to connect, in what is described as a two click setup with custom built integrations, so capture is opted into tool by tool. Entries leave only after the timekeeper releases them. No practice management or billing system is named on the vendor's own pages; third party sources name several. No connector list, API reference or developer documentation is published.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
Nothing published says where the platform runs or how customers are separated. No cloud provider, hosting region or country is named, no residency option is offered, processing is not distinguished from storage, and no on premises or customer cloud option exists. Section 1.9 names data isolation without describing a tenancy model or mechanism. The platform connects into a firm's email and document systems and processes a continuous stream of activity from client work. A trust center is linked from the home page.
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.
Billables AI's home page has a security section stating the company is serious about security and links to a trust center on its own subdomain. No certification is named on the home page, in the terms or in the footer: no SOC 2, ISO 27001 or other standard, no auditor or report period, and no penetration testing program beyond the routine audits and vulnerability testing in section 1.9. The security commitments are concrete and sit in the agreement rather than on a badge page.
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.
No model, version or provider entity is named, and nothing states whether any component is built in house or reached through a third party. Nothing describes where inference runs, what any provider may retain, or whether customers would be told if the model set changed. Section 1.7 of the terms refers to methods, techniques or models in the abstract when permitting use of aggregated deidentified usage data. No subprocessor list exists in the agreement or anywhere else.
The system reads a lawyer's email subjects, document activity and calendar to infer what work was done, and nothing published says whether that stream reaches a third party model provider or stays inside Billables AI's own systems.
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.
Billables AI's pricing page lists three plans charged per user a month. Single, at $47, captures time from one workflow such as email and connects to a practice management system. Standard, at $109, captures time across email, calendar, browser, meetings and documents and adds training, onboarding resources and analytics. Premium, at $169, adds delegated access, single sign on, prebill review, unlimited questions to its insights layer and compliance checks.
Each plan is marked 15 percent off with yearly billing, and the page sets no minimum number of users, no minimum term and no setup fee, with custom pricing for volume. Section 1.1 of the terms points customers without a signed order to a plans page at billables.ai/plans, which returns a 404, while the prices sit on the pricing page. Section 2.2 sets monthly invoicing with late interest at 1.5 percent a month, section 3.1 renews automatically unless thirty days notice is given, and section 1.2 offers trials as is, without indemnity, support or warranty.
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.
Three dedicated solution pages address timekeepers, managing partners and legal administrators, and the named customers include managing partners, chief executives, office administrators and directors of operations. The buyer type is stated broadly as lawyers, consultants and professional services providers. No jurisdiction is named, which leaves unstated whether the product handles activity in languages other than English or billing conventions outside the US.
No practice area is mentioned and no firm size range is given, though the named customers are small and midsize firms rather than large ones. Nothing states what the product does not cover, including the limit that work performed away from a connected application cannot be captured.
2 public documents
The public pages on file for Billables AI, 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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billables.ai/terms-of-service2 signals
Client Data in Training, Third Party Request and Subpoena Notice
Read Sep 2, 2026
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Fabricated Citation Record
Read Sep 2, 2026
From $47 per user per month
- Billables AI lists three plans, charged per person per month.
- Single is $47 and captures time from one workflow, such as email.
- Standard is $109 and captures time across email, calendar, browser, meetings and documents.
- Premium is $169 and adds single sign on, prebill review and compliance checks.
- Each plan is marked 15 percent off with yearly billing.
- There is no minimum number of users, no minimum term and no setup fee, and larger firms can ask for volume pricing.
- The contract still points to an older plans address that returns a 404, so the prices live on the pricing page.
- The subscription renews itself unless you give 30 days notice, and late payment carries interest at 1.5% a month.
- Free trials come with no warranty, no indemnity and no support under the contract.
Billables AI's pricing page lists Single at $47, Standard at $109 and Premium at $169 per user a month, each marked 15 percent off with yearly billing. Single covers one workflow integration, such as email, and a practice management integration. Standard covers unlimited workflow integrations across email, calendar, browser, meetings and documents, with training, onboarding resources and analytics. Premium adds delegated access, single sign on, prebill review, unlimited questions to the insights layer and compliance checks.
The page states no minimum number of users, no minimum term and no setup fee, and offers custom pricing for volume. Section 1.1 of the terms points customers without a signed Service Order to a plans page at billables.ai/plans, which returns a 404. Section 2.2 sets monthly invoicing with late interest at 1.5 percent a month or the legal maximum, section 3.1 renews each Service Order automatically unless either party gives thirty days notice, and section 1.2 offers trials as is, without indemnity, support or warranty.
Implementation: The pricing page states no setup fee, with no minimum number of users and no minimum term.
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?
A published agreement or policy exists and none of it addresses the question either way, or the document that would answer it could not be read and the summary names the retrieval limit. The summary states which shape the silence takes: an improvement right granted that never names training, or no improvement right granted at all.
No clause in Billables AI's terms addresses training on customer content either way. Section 1.6 limits the vendor's use of Customer Data to providing the service. Section 1.7 permits use of Usage Data to improve the service and any methods, techniques or models, but Usage Data is defined as diagnostic, performance and telemetry data in aggregated deidentified form, which excludes the customer's work content. Section 1.9 gives the quoted commitment that underlying documents and emails are not stored, keeping only activity metadata and the generated billable records.
The silence takes the form of an improvement right over telemetry that names models but never names training; no policy page addresses training either.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged in public materials with no stated period.
Section 1.9 of Billables AI's terms limits storage to metadata about user activity and the generated billable records, and commits that documents and emails are not stored or retained. It also confirms the customer controls its data and can access, delete and manage it, giving a deletion route on demand. Section 1.6 says Customer Data may be irretrievably deleted if the account is terminated, a warning rather than a commitment, which affects a customer needing historical time records after leaving.
No period is stated for activity metadata, generated entries or narratives during the term, and no retention setting is described. A data processing addendum is mentioned at section 1.8 as agreed between the parties and is not published.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Segregation is asserted in public materials with no published detail on how it is enforced.
Section 1.9 of Billables AI's terms names data isolation among its security practices, and its home page says customer data is isolated and anonymized. Neither says what is isolated from what: customers, users within a firm, or matters. A user's time reports are visible only to that user until released, a boundary per timekeeper inside the firm. The product attributes a lawyer's whole day across clients and matters, and nothing published addresses whether a conflicted matter's activity could reach a user who should not see it.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Terms commit to notice where lawfully permitted. No transparency report located.
Section 4 of Billables AI's terms permits disclosure of Confidential Information as required by law or court order, conditioned on the quoted terms, so the customer is told and the vendor must try to narrow what goes out rather than simply comply. The duty is mutual and survives termination under section 3.4. The clause protects Confidential Information, defined by marking or by what the recipient should reasonably have known was confidential, not Customer Data as a category, so whether it covers a demand for a firm's time records is left to interpretation. Notice is prompt rather than advance, so the customer may learn of a disclosure only after it happens.
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.
Billables AI supplies no content collection and claims none. The input is the customer's own activity from its connected applications, so there is no licensed database or third party content behind any output. The system must recognize client and matter identifiers to attribute work, and nothing says where its client and matter list comes from or how it is kept current.
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 retrieves and cites no legal authority. Nothing on the home page, in the terms of service, the footer or the three solution pages describes a check that the client and matter data the system assigns work to stays current, though an entry assigned to a closed matter or outdated client code would be wrong.
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 on the home page, in the terms of service, the footer or the three solution pages describes what the system does when it cannot determine an answer, and no confidence indicator is shown to the user. Nothing states what happens to activity the system cannot attribute to any client or matter, whether it is surfaced as unassigned, silently dropped or guessed at, or whether an entry the model is unsure about is flagged differently from one it is confident in. The review gate before export gives the user the last word without showing where the system was least sure.
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 maintained by Damien Charlotin, and reporting drawing on it, record no case naming Billables AI or Billables Inc., and no billing or fee dispute involving the product appears in the public record. This is a statement about the public record rather than a finding about the product. The platform generates time entries and billing narratives rather than legal citations, so its characteristic failure is an entry attributed to the wrong matter or a narrative describing work inaccurately.
That surfaces as a client fee objection, a write down at review before billing, or at worst a fee dispute or disciplinary complaint, none of which is indexed anywhere comparable to a court sanctions tracker.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
No public material on the home page, the terms of service, the footer or the three solution pages for timekeepers, managing partners and legal administrators engages guidance from any professional body. Nothing names the duty to charge a reasonable fee, the guidance on billing for time actually expended, or any state bar opinion on automated or reconstructed timekeeping, and no newer guidance on generative AI is cited in connection with machine written narratives that a client will read as the lawyer's own description of their work.
The only related published language is the contractual requirement at section 6.3 that the customer review output for accuracy and appropriateness, which allocates the duty without naming what governs it.
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.
Billables AI's central published claim is that firms capture ten to thirty percent more billable time than under their previous methods, alongside a ninety percent reduction in time spent writing narratives, so the bill goes up rather than down. Efficiency and revenue claims are published with no disclosure treatment attached. Nothing addresses whether a client is told that narratives on their invoice were machine written, whether entries surfaced by inference rather than recorded at the time are identified as such, or how a firm should satisfy itself that newly captured time was properly billable to that client.
The product generates a record of time for each matter, which is not a record of AI assisted work, and nothing marks which entries the model produced.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The material exists behind a sales conversation or an executed agreement.
Billables AI's full terms of service are public, including section 1.9's commitment that underlying documents and emails are not stored or retained, encryption in transit and at rest and data isolation, and section 4's confidentiality and compelled disclosure notice terms. No subprocessor list exists, no AI or model provider is named, and the data processing addendum is described at section 1.8 as agreed between the parties, not published. A trust center is linked from the home page.
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 on the home page, in the terms of service, the footer or the three solution pages addresses disclosure of AI involvement, and no record identifying which entries or narratives a model produced is described as available or exportable. The usual forum is a fee audit, a client billing guideline review or a fee dispute rather than a court. Every entry starts as a machine generated draft that the timekeeper may then edit or delete, but nothing states that the difference between entries accepted as generated and entries materially revised is captured, retained or exportable, and no audit trail of edits is described. Time records export to billing systems, but that is the work record rather than a record of how it was produced.