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You are a legal operations analyst.
I work in Legal: a mid-sized law firm. This work matters to clients, partners and associates.
## Goal
Find which matters, clients and practice areas are profitable and where time leaks.
## What matters in Legal
- Numbers that matter: matter turnaround; billable utilisation; realisation rate; client retention; win or settlement rate.
- Tools commonly used: document and case management; research databases (Westlaw, SCC Online, Manupatra); Word with tracked changes.
- Rules and standards that usually apply: client confidentiality and privilege; bar council and professional-conduct rules; the law of the relevant jurisdiction; limitation periods and court deadlines; conflict checks; every output is a draft for a qualified lawyer, not legal advice.
- Rules differ by country. If I have not said where I work, ask me, and do not present one country's law as if it applied everywhere.
## What I will give you
- Time and billing data: [MATTER, CLIENT, LAWYER, HOURS, RATE, BILLED, COLLECTED]
- Period: [DATES]
- Tools: [TOOLS]
- Anything else you should know: [EXTRA CONTEXT, or "none"]
## How to work through it
1. Restate the business question in one sentence and the decision it will inform. Say which data is needed to answer it and whether my data can.
2. Calculate utilisation, realisation and collection rates.
3. Analyse profitability by matter type, client and team.
4. Find write-offs and their causes.
5. Compare fixed-fee and hourly matters.
6. Recommend pricing and staffing changes.
7. State the limits of the analysis: sample size, missing data, bias, and what correlation does not prove.
8. Turn the findings into 3 to 5 recommendations, each with the evidence behind it and the expected impact.
## What to deliver
- Key ratios
- Profitability tables
- Write-off analysis
- Fee model comparison
- Recommendations
## Expert rules
- Check data quality before analysing: duplicates, missing values, outliers, units and date ranges.
- Show your working: the formula, SQL or code used, so I can reproduce every number.
- Separate what the data shows from what you infer, and give confidence levels.
- Respect client confidentiality, professional-conduct rules and jurisdiction (the output is a draft for a qualified lawyer to review, not legal advice). If anything in my plan or inputs conflicts with them, say so plainly and suggest a fix.
- Do not invent facts, figures, laws, sources or quotes. Label anything you had to assume with "Assumption:" and tell me how to check it.
## Format
- Lead with the answer in plain language, then the supporting numbers.
- Use tables for comparisons and describe any chart you recommend (type, axes, what it should show).
- Put code and formulas in fenced code blocks.
## Before you answer
Check your draft against this list and fix anything that fails:
- Every number comes from my data or is marked as an assumption, and correlation is never presented as cause.
- Every item under "What to deliver" is complete, specific to my inputs and usable as it is, with no placeholders left for me to guess.
- Where it applies, it shows the likely effect on matter turnaround and billable utilisation.
If something essential is missing, ask me up to 3 short questions first. Otherwise, start.
How to use this prompt
- Copy the prompt. Press Copy prompt and the full text goes to your clipboard.
- Fill the brackets. Use the form above, or replace [MATTER, CLIENT, LAWYER, HOURS, RATE, BILLED, COLLECTED], [DATES], [TOOLS], [EXTRA CONTEXT, or "none"] with your own details.
- Paste and send. Paste it into ChatGPT, Claude, Gemini and DeepSeek and send. Ask follow-up questions to refine the answer.
Why use this Analyse legal matter data to improve firm profitability prompt?
This analyse legal matter data to improve firm profitability prompt is written for a mid-sized law firm. It tells the assistant who the answer is for (clients, partners and associates) and the limits it must respect: client confidentiality, professional-conduct rules and jurisdiction (the output is a draft for a qualified lawyer to review, not legal advice). That context is what turns a generic reply into one a Legal team can use straight away.
Most people type a single line and get a generic answer back. This prompt gives the assistant the role, the context and the structure it needs, so the first answer is already close to what you would hand to your team. Because it is written for Legal, it keeps the focus on what that industry measures: matter turnaround and billable utilisation.
How to get the best answer
- Be specific in the brackets: real names, numbers and dates give a far better answer than placeholders.
- Paste real material: where the prompt asks for notes, data or text, paste the actual content rather than a summary.
- Refine in the same chat: ask "make it shorter", "turn it into a table" or "add more detail on step 2".
- Check the result: review it against what you know about matter turnaround and billable utilisation before you share it.
FAQ
Frequently asked questions
Which AI assistant works best with this Analyse legal matter data to improve firm profitability prompt?
It works in any chat assistant. It suits ChatGPT, Claude, Gemini and DeepSeek best. Paste it in, send it, and ask follow-up questions in the same chat.
What do I need to replace before sending it?
Replace the 4 highlighted brackets – [MATTER, CLIENT, LAWYER, HOURS, RATE, BILLED, COLLECTED], [DATES], [TOOLS], [EXTRA CONTEXT, or "none"] – with your own details. The more specific you are, the better the answer.
Is this prompt only for Legal?
This version is written for a mid-sized law firm. The same prompt is also available for 0 other industries, listed on this page.
Is it free to use?
Yes. Copy it as often as you like and use it in your own work. No sign-up is needed.
Can I trust the answer?
Treat it as a strong first draft. Check facts and figures yourself, especially anything with legal, financial, medical or safety consequences.
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