Start with a specific category such as employment investigation, commercial contract review, due diligence, discovery response, trademark application, or regulatory review. Broad categories are less predictive.
Building a Comparable-Matter Baseline
Structure the estimate around phases and relevant historical matters rather than one broad average.
Review area | What to check or do |
Break Work into Phases | Define phases such as intake, research, drafting, review, negotiation, filing, closing, and follow-up. Estimate effort by phase rather than only one total. |
Select Comparable Matters | Good comparables should share matter type, complexity, jurisdiction, client profile, scope, staffing, and deliverables. Do not average unrelated matters. |
Use Historical Hours | For each comparable, review total hours, hours by phase, hours by role, duration, scope changes, and no-charge effort. Use median and range, not only average. |
Adjust for Complexity
Possible adjustment factors include number of parties, document volume, jurisdictions, regulatory complexity, negotiation intensity, time pressure, and novel legal questions. Document the assumptions.
Estimate Staffing
A matter needing 60 hours does not tell you the delivery cost unless you know who performs them. Estimate partner, associate, paralegal, and support effort.
Use Ranges
Instead of one false-precision number, use low, expected, and high cases. Explain what would move the matter between scenarios.
Identify Scope Assumptions
Write down included work, excluded work, number of revisions, meetings, jurisdictions, client inputs, and decision deadlines. These assumptions help explain later variance.
Track Actual vs Estimate
During delivery, compare hours, phase effort, staffing, scope, and timeline. Do not wait until the matter closes.
Learn from Variance
Classify variance as scope change, efficiency issue, staffing issue, complexity, client delay, external event, or estimate error. This improves the next estimate.
How AI Timekeeping Helps
Complete historical time data makes matter estimates more credible. AI-assisted capture can reduce missing short tasks and improve matter-level effort data, but users should still review the final entries.
How MIRA Fits
MIRA can improve the historical effort dataset by capturing billable and non-billable activity and organizing reviewed entries by matter. Budgeting still requires scope, cost, staffing, and management judgment.
Related Resources
Authoritative References
This guide is for educational purposes only. Pricing, staffing, billing, accounting, client, and professional-conduct requirements vary by firm, engagement, and jurisdiction.
Frequently Asked Questions
How should law firms estimate matter hours?
Use comparable matters, phase-level history, role mix, complexity, and explicit assumptions.
Should budgets use averages?
Use medians and ranges where possible because averages can be distorted by unusual matters.
Can AI set a matter budget automatically?
AI can help organize historical data, but scope and professional judgment remain essential.
How does MIRA help?
MIRA improves the source time data that can be used for historical matter analysis.
