Comparisons
CaseClock vs passive AI timekeepers
There are two fundamentally different approaches to AI-assisted legal billing: passive monitoring that infers billing entries from background activity, and voice capture that takes the lawyer’s own account as the source of truth. These are not variations on the same idea — they represent different philosophies about what a billing entry is and who is responsible for it.
Two models
Passive monitoring vs intentional capture: two different starting points
Passive AI timekeepers start from the assumption that billing capture should require minimal effort from the lawyer — ideally, no action at all. The tool monitors activity in the background, observes signals like emails opened, documents accessed, and applications used, and then uses AI to assemble billing entries from those signals. The lawyer’s job is to review and approve (or correct) what the AI assembled.
Voice-first capture starts from a different assumption: that the most accurate source of information about what a lawyer did is the lawyer themselves, and that the way to get that information is to ask the lawyer to describe the work — briefly, in their own words, immediately after it happens.
Both approaches use AI. The difference is what the AI is doing: inferring from indirect signals in one case, and structuring a direct account in the other.
How passive works
What passive monitoring produces — and what it requires from lawyers
A passive AI timekeeper typically runs as a background process on a lawyer’s desktop. It observes computer activity — which documents are open, which email threads are accessed, how long applications are in focus — and uses that data to draft billing entries.
The output is a list of inferred entries that the lawyer reviews before any of them reach the billing system. This review step is non-trivial. Inferred entries require more correction than voice-captured entries because they start from indirect signals rather than from the lawyer’s own description. A document opened for ten minutes might represent billable review, a quick reference check, or something unrelated — the passive tool cannot distinguish these cases, so it produces a draft and asks the lawyer to correct it if wrong.
There is also a confidentiality consideration. Passive monitoring requires access to the lawyer’s computer activity — email metadata, document access patterns, application usage. Law firms considering passive monitoring tools should evaluate what information those tools access and retain, and whether that access is consistent with client confidentiality obligations.
Passive monitoring also does not capture work that does not generate computer activity — phone calls, corridor conversations, courthouse appearances, client meetings away from the desk. These are systematically missed unless the lawyer adds them manually.
How CaseClock works
What intentional voice capture produces — and what it requires
CaseClock asks the lawyer to take one deliberate action after each piece of billable work: speak a 20-second description of what they just did. The app converts that spoken description into a structured billing draft — the matter matched, the narrative shaped, the duration set.
The lawyer then reviews the draft and approves it before it enters the billing system. Nothing moves without explicit sign-off. This review is typically faster than reviewing passively-monitored entries because the draft starts from a more accurate source — the lawyer’s own account — and requires less correction.
CaseClock works on mobile — which means it captures the categories of work that passive desktop monitoring cannot: phone calls, client meetings, courthouse time, informal advice. These are often the most commonly missed billable activities, and they are fully within the scope of voice capture.
CaseClock does not access email content, document files, or background computer activity. The only data it processes is what the lawyer deliberately speaks into it.
The difference
What the difference means in practice
The choice between passive monitoring and voice capture is not primarily about features — it is about where the lawyer’s judgment enters the process, and what the billing entry is ultimately based on.
With passive monitoring, the AI produces inferences and the lawyer corrects them. The source is indirect, and the review burden reflects the distance between inference and reality.
With voice capture, the lawyer provides a direct account and the AI structures it. The source is the lawyer’s own description of the work, and the review confirms that the structure is correct.
Both approaches require lawyer review before billing. The difference is what the lawyer is reviewing — and how much correction that review typically requires. In legal practice, where billing entries are the lawyer’s representation of work performed to the client, starting from the lawyer’s own account is the more defensible foundation.