You are already doing the work. This workflow makes sure you get paid for it.
Most solo lawyers aren’t losing billable time because they’re lazy about tracking — they’re losing it because logging happens hours after the work, memory compresses a 40-minute call into a six-word entry, and back-to-back matters blur into a single undifferentiated afternoon. Studies on attorney time capture consistently land in the same neighborhood: 15–30% of billable work never makes it onto an invoice. This workflow fixes that without adding a dedicated time-tracking app to your monthly overhead. You need a transcription tool you may already have (Otter.ai or Fireflies.ai), your existing calendar, and a single Claude prompt you run once at end of day. The output drops into whatever practice management software you already use — Clio, MyCase, PracticePanther, or a spreadsheet if that’s where you are.
What You’ll Need
- Otter.ai (Pro plan, $16.99/month) or Fireflies.ai (Pro plan, $18/month) — either works; Fireflies has slightly better Zoom/Teams auto-join, Otter is easier for in-person dictation via phone
- Claude (claude.ai, Pro plan at $20/month, or API access if you want to automate later) — the prompt below was written and tested on Claude 3.5 Sonnet
- Your existing calendar (Google Calendar or Outlook) — you’ll export or copy today’s event list
- Your existing practice management software’s time entry screen — open it to receive the output
- A matter-code list: a simple text list of your active matters and their billing codes, which you’ll paste into the prompt
Step 1: Get Transcription Running in the Background
The entire workflow depends on raw transcript text. Nothing fancy happens here — you are just making sure something is capturing words while you work.
For calls and video meetings
Connect Fireflies to your Google Meet, Zoom, or Teams calendar so it auto-joins every meeting. The first time it appears as “Notetaker,” alert participants that the meeting is being transcribed — check your state’s consent rules before you do this at all. One-party consent states give you more latitude on internal calls; two-party states mean you need explicit verbal acknowledgment before the bot stays in the room. Fireflies lets you configure a custom bot name (I use “LFB Notetaker”) so it looks less like a surveillance tool and more like a deliberate choice.
For in-person work, research, and drafting time
Open the Otter mobile app and hit record at the start of a drafting session or in-person client meeting. You don’t need to narrate every keystroke. Talking through what you’re doing — “starting review of the indemnification clause in the Smith MSA, flagging the liability cap” — gives Claude enough context to write a real time entry later. Even a 30-second verbal summary at the end of a task (“done with that, probably 45 minutes”) is enough. Otter’s transcripts are available in the app and exportable as plain text.
Collect transcripts at end of day
From Fireflies: go to Meetings, select each transcript from today, copy the full text or use the “Export as TXT” option. From Otter: open each conversation, hit the three-dot menu, and export as text. Paste all of today’s transcripts into a single plain-text document. Label each block with a rough time — “10:15 AM — Zoom call” — if the export doesn’t include timestamps. This takes under five minutes once it’s habitual.
Step 2: Pull Your Calendar for the Day
In Google Calendar, click the day view and copy the text of your appointments. In Outlook, use the “Today” view and do the same. You want event names, times, and any notes you added. This is the skeleton the AI uses to attribute time chunks to matters when transcripts are thin or missing. A calendar entry that reads “Garcia deposition prep — 2:00 PM – 4:00 PM” gives Claude a two-hour anchor even if you didn’t record anything during that block.
Do not skip this step on days when you recorded everything. Calendar entries catch the gaps: the 20-minute call you took off-app, the courthouse run you forgot to narrate, the email sprint that never got a recording started.
Step 3: Run the End-of-Day Claude Prompt
Open Claude and paste the following prompt. Fill in the bracketed sections before sending. The prompt is long on purpose — Claude performs substantially better on time-entry tasks when it has explicit formatting rules and examples to follow rather than open-ended instructions.
You are a legal billing assistant helping a solo attorney draft time entries for the day. You do NOT give legal advice. Your job is to convert raw transcript text and calendar entries into properly formatted billable time entries.
ACTIVE MATTERS (billing codes and short names):
[PASTE YOUR MATTER LIST HERE — e.g.:
- 2024-047 / Garcia v. Hendricks (litigation)
- 2024-061 / Patel Business Formation (transactional)
- 2024-058 / Nguyen Estate Plan (estate)
- ADMIN / Non-billable internal tasks]
TODAY'S CALENDAR:
[PASTE YOUR CALENDAR ENTRIES HERE — include event name, start time, end time, and any notes]
TODAY'S TRANSCRIPTS:
[PASTE ALL TRANSCRIPT TEXT HERE — label each block with approximate time if possible]
---
INSTRUCTIONS:
1. Review the calendar entries and transcripts together.
2. For each identifiable block of work, draft one time entry in this exact format:
- Matter: [billing code / matter name]
- Date: [today's date]
- Time (hours): [round to nearest 0.1]
- Description: [one sentence, active voice, specific — what was done, not just "worked on matter"]
3. If a transcript block clearly belongs to a specific matter, assign it. If you are not certain, flag it as [ATTRIBUTION UNCERTAIN] and explain briefly why.
4. Do not invent work that is not supported by the calendar or transcripts.
5. Do not combine entries from different matters into one entry.
6. After the entries, add a section called "Gaps and Flags" that lists: (a) any calendar blocks with no transcript support, (b) any transcript content you could not attribute to a matter, and (c) any entries where the time estimate feels imprecise.
7. Keep descriptions under 20 words. Write them in the style used in legal billing — e.g., "Reviewed indemnification clause; drafted revision and sent to client for approval."
OUTPUT FORMAT:
Return a numbered list of draft time entries followed by the Gaps and Flags section. Do not add commentary between entries.Claude will return a numbered list of draft entries and a flags section. The flags section is the part most lawyers skip — don’t. It surfaces the gaps where time walked out the door.
Step 4: Review, Edit, and Enter
Claude’s draft entries are a starting point, not a finished product. Plan for a five-to-ten minute review pass. What you’re checking: matter attribution accuracy, time estimates that feel off, and descriptions vague enough to draw a billing dispute.
Fix attribution errors first
On multi-matter days, Claude occasionally assigns work to the wrong matter when two clients share an industry or a topic — “reviewed contract clause” can land on the wrong billing code if both your open matters involve contract review. The [ATTRIBUTION UNCERTAIN] flag catches the obvious ones, but scan all entries. You know your matters; Claude doesn’t.
Adjust time estimates
Claude derives time from transcript timestamps and calendar blocks. If a calendar block says 60 minutes but you wrapped in 35, change it. If a transcript from a “30-minute check-in” runs 47 minutes of actual content, adjust upward. The AI is giving you a scaffolding, not an invoice.
Enter into your practice management software
Copy each approved entry into Clio, MyCase, PracticePanther, or wherever you track time. Most practice management platforms have a quick-add time entry screen that takes under 30 seconds per entry when the description is already written. You are not re-drafting from memory — you are pasting and confirming. That is the entire efficiency gain.
Step 5: Build the Habit Loop
This workflow produces diminishing results if transcripts are inconsistent. The reliable version runs every single day, not just on busy ones. Set a recurring calendar event at 5:00 PM — “Time entry review, 10 min.” That block keeps the habit alive. After two weeks it compresses to six minutes. After a month the transcript collection is reflexive and the prompt run takes under four minutes of active attention.
If you want to reduce the manual copy-paste, Fireflies has a Zapier integration that can push transcripts to a Google Doc automatically. You can then keep a running daily doc and paste the whole thing into Claude at end of day rather than exporting individual transcripts. That setup takes about 20 minutes to configure once and saves two to three minutes daily.
Where This Breaks
Phone calls without recording consent. This is the most common gap. If you practice in a two-party consent state and forget to get acknowledgment before a call, you get no transcript for that call. The calendar entry will show up in the Gaps and Flags section, but Claude can only estimate — it has no content to work from. The fix is a verbal habit: “Just so you know, I may be recording this call for my notes — is that okay?” said in the first 15 seconds. If a client declines, take a 30-second voice memo immediately after you hang up describing what was covered.
Multi-matter days with thin context. When you have five active matters and a day full of short, topic-overlapping calls, Claude’s attribution guesses degrade. “Discussed indemnification” does not uniquely identify a matter when you have three open transactional files. Narrating the client name or matter reference number into your voice notes at the start of each session eliminates most of this. “Starting Garcia call” at the top of a transcript is enough context for reliable attribution.
Transcription errors on legal terms. Both Otter and Fireflies occasionally garble case names, statute citations, and proper nouns. “Promissory estoppel” becomes “promissory a stopple.” This matters less than you might think for time entries — the AI is extracting intent and duration, not quoting the transcript verbatim — but it can confuse attribution when a client name gets mangled. Scan the flags section; that’s where garbled attributions surface.
Privacy and confidentiality obligations. Transcripts contain client information. Otter and Fireflies store data on their servers. Before you run this workflow, check your state bar’s guidance on cloud storage of client data and review each vendor’s data processing terms. Claude processes data through Anthropic’s API; the Pro plan’s privacy settings default to not training on your inputs, but confirm that in your account settings before pasting client-identifying information. Some attorneys use matter codes rather than client names in transcripts specifically to reduce exposure — a reasonable precaution.
What This Saves You
The honest estimate: for a solo billing 25–30 hours per week, recovering 15–20% of previously lost time means three to five additional billable hours per week. At $250/hour, that is $750–$1,250 per week that was already earned but never invoiced. The workflow costs under $40/month in tools (if you don’t already have Otter or Fireflies) and roughly 10 minutes per workday once the habit is set. The math is not subtle.
Beyond revenue, the descriptions Claude drafts are longer and more specific than what most attorneys write under time pressure. Better descriptions mean fewer billing disputes, faster client approval, and a cleaner paper trail if a fee is ever challenged. That is a secondary benefit, but it compounds over a full year of billing files.
This workflow will not work for every attorney on every day. Phone-heavy practices in two-party consent states will see smaller gains without the voice-memo habit. Attorneys with highly irregular schedules who forget to start recordings will get patchy transcripts and patchy output. But for a solo who runs a relatively consistent day of calls, drafting, and client meetings, this is the most direct path from “I think I billed about six hours today” to “I have eight verified entries in my practice management software and I know exactly what they cover.”
Related reading
- Clio vs MyCase vs Smokeball: Practice Management for Solo and Small Firms in 2026
- The AI-Powered Client Intake Workflow Every Solo Lawyer Should Steal
- Automated Client Communication: Setting Up Drip Sequences in Your Practice Management Software
- The Solo Lawyer’s Calendar + Deadline Stack (Without Buying Another App)
- 10 ChatGPT Prompts Every Solo Lawyer Should Save (Tested on Real Matters)
