title: "Timely vs Timentry: Which Fits Law Firms?" slug: timely-vs-timentry-law-firms description: "Timely tracks your day automatically but wasn't built for matter-based billing. See how the two tools compare for legal and professional-services firms." target_keyword: "timely alternative for law firms" cluster: comparison
Timely vs Timentry: Which Fits Law Firms?
Both Timely and Timentry capture time without manual timers. Both use AI to organise what you did into readable records. For a freelance designer or a consultant billing in broad categories, those similarities might be enough to make a choice.
For law firms and professional-services practices that bill hourly by matter, submit invoices to e-billing portals, and operate under outside-counsel guidelines, the differences are more consequential.
This page compares both tools on the dimensions that matter most in a legal billing context: how time is captured, whether client and matter attribution is deterministic or manual, whether compliance rules are enforced before submission, and what the end output looks like for a timekeeper reviewing a draft entry.
How each tool captures time
Timely records your computer activity — apps, documents, websites, meetings — into a private timeline called Memory AI. That timeline lives locally. At review time, you drag activities onto projects or clients to create time entries. The capture is thorough; the attribution is manual.
Timentry captures via a lightweight desktop agent connected to cloud sources: your Microsoft 365 or Google Workspace account, your calendar, email threads, Teams or Zoom meetings, and telephony calls. Activity clusters into draft narrative time entries — the kind a billing timekeeper would recognise. Attribution to a matter or client happens automatically using matter numbers, sender domains, and known contact names; AI is a fallback, not the primary logic.
The practical difference shows up at the end of a court day when you have seventeen fragments — a client call, three email threads on two different matters, a Teams meeting, a document review, and a brief you drafted. In Timely, you see those activities in your timeline and manually assign each to a project. In Timentry, the draft entries arrive pre-attributed with a narrative you edit and approve.
Where Timely works well
Timely was built for teams that bill by project — agencies, consultancies, software teams — and it does that job well. If your billing is simple (a handful of clients, no matter numbers, no e-billing portals), Timely's Memory AI gives you a near-complete picture of your day with a clean, visual interface for turning it into time records.
Its privacy model is also a genuine feature: memory stays on-device by default, and the company has a strong record on this point. If local-first storage is a firm requirement, Timely takes a different approach than cloud-connector tools.
What it isn't is a legal billing product. It has no concept of matter numbers, no understanding of outside-counsel guideline constraints, no block-billing detection, and no mechanism for enforcing billing rules before a timekeeper submits. Those aren't gaps in implementation — they're outside its design scope.
What legal billing actually requires
The gap between general time tracking and legal time tracking is mostly invisible until invoice review time, which is too late.
A few specifics:
Matter attribution. Law firms bill by matter, not by client. A single client might have fifteen open matters, each billed at different rates, with different staffing and OCG requirements. A time capture tool that routes entries to a client rather than a matter creates a reconciliation problem downstream.
Billing increments. Most firms bill in 0.1-hour (six-minute) increments. Some bill in 0.25-hour (fifteen-minute) increments. The correct increment affects the narrative, the arithmetic, and whether the entry survives e-billing validation. Capturing raw minutes is not the same as generating an entry in the right increment with the right rounding.
Narrative quality. E-billing systems and sophisticated clients scrutinise time narratives. Vague entries ("reviewed documents," "telephone call") attract write-down requests. An entry that specifies which document, which matter, and what was accomplished has a much higher chance of surviving review intact. AI activity clustering that understands the context of a legal file can draft that specificity automatically.
OCG compliance. Many large clients send outside-counsel guidelines that prohibit certain task codes, cap certain fee types, require specific narrative formats, or restrict block billing. If a firm has no mechanism to enforce those rules at entry time, non-compliant entries reach the invoice, get rejected, and come back as write-downs or re-work. Why invoices bounce and how to prevent it is a topic in its own right, but the root cause is always the same: the problem wasn't caught early enough.
How Timentry handles matter attribution
Timentry uses deterministic attribution: matter numbers, sender email domains, and known contact names route captured activity to the correct matter automatically. The AI model is a fallback — it suggests when deterministic rules don't resolve the activity unambiguously.
In practice this means an email thread with a client whose domain is registered in Timentry routes to that client's matter without any manual drag-and-drop. A Teams meeting titled with a matter name routes correctly. An incoming call from a known client number attributes automatically. Timekeepers review and approve — they don't reconstruct.
For firms managing dozens of active matters across a small timekeeping team, this changes the economics of compliance. Contemporaneous time entry is measurably more accurate than reconstruction: attorneys who rebuild their day from memory consistently lose 15–25% of their billable time. Automatic capture with attribution removes that reconstruction step entirely.
Compliance enforcement before submission
Timentry enforces billing rules before a time entry is submitted. Outside-counsel guidelines — prohibited task codes, billing increment requirements, narrative format constraints, block-billing restrictions — are configured at the matter or client level and checked automatically as entries are drafted.
An entry that would violate an OCG rule flags in the review workflow before it reaches the invoice. A timekeeper sees the problem, corrects it, and submits a clean entry. The invoice doesn't come back.
Timely has no equivalent mechanism. Its purpose is to help timekeepers know what they worked on and for how long. Translating that into billing-compliant entries is a step the timekeeper takes after the fact, without automated guardrails.
Privacy and data handling
Both tools take data privacy seriously, but from different architectural positions.
Timely's Memory AI defaults to local processing. Activity data stays on the device unless you explicitly push it to a project or client entry. For firms with strict policies around what can leave the desktop, that default is meaningful.
Timentry takes a cloud-connector approach: it reads from Microsoft 365, Google Workspace, or telephony providers through OAuth connections with granular permission scopes, rather than recording local screen activity. For firms where all client work flows through cloud infrastructure — which describes most practices running M365 — the capture source is already your authorised systems, not a local memory replay. Timentry includes on-device filtering, GDPR-aligned data-rights tooling, and encrypted integration credentials.
Neither approach is universally better. The right choice depends on where your work actually happens and what your firm's data governance policy requires.
Who should use which
Timely is a reasonable fit if:
- Your billing is project-based with a small number of broad clients
- You have no matter-level attribution requirement
- Local-first capture is a hard requirement
- Compliance enforcement before submission isn't part of your billing workflow
Timentry is designed for firms where:
- Billing runs on matter numbers with multiple matters per client
- Narrative accuracy at entry time affects invoice acceptance rates
- Outside-counsel guidelines need enforcement at the entry level, not the invoice level
- Timekeepers review and approve AI-drafted entries rather than reconstructing their day from memory
For solo practitioners doing straightforward hourly billing without matter complexity, either tool could work. For any firm with more than a handful of active matters, clients with OCG agreements, or a compliance review step before invoicing, the requirements are specific enough that general-purpose passive capture leaves meaningful gaps.
Other passive-capture tools worth comparing
If you're evaluating passive-capture tools for a legal or professional-services practice, the market is wider than two products. Laurel targets enterprise BigLaw and Big Four firms with a different cost and deployment profile. Memtime is a strong privacy-first option with a local-capture story, though similarly without legal billing compliance features built in.
The core question for any legal team is whether the tool you're evaluating understands the difference between tracking time and billing correctly for it. Those are related but distinct problems — and the gap only becomes visible when an invoice comes back.
Try Timentry
If your firm bills hourly by matter, operates under outside-counsel guidelines, or wants time entries that arrive pre-attributed and compliance-checked before they reach the timesheet — start a free trial at timentry.ai. No timers to start. No reconstruction at the end of the day.