AI can make legal timekeeping faster by turning work activity into draft time entries and billing descriptions. The key question is how those drafts are checked before they become part of a client bill.
Law firms should treat AI-generated time entries as reviewable work product. The system can reduce manual reconstruction, while the lawyer remains responsible for confirming that the final entry accurately reflects the work performed.
What Should Be Verified in an AI-Generated Time Entry?
A reviewer should confirm the information that affects the accuracy and meaning of the billing record.
Key checks include:
Did the work actually occur?
Is the client and matter correct?
Is the duration reasonable and supported by the activity?
Does the description accurately explain the work?
Is the billing status appropriate?
Are required task or activity codes correct?
Does the entry comply with applicable client billing guidelines?
Does the description avoid unnecessary privileged or sensitive information?
These checks help separate useful AI assistance from unchecked automation.
Why AI Time Entries Need a Different Trust Model
The most useful trust model is based on evidence, review, and control.
AI can identify digital activity and use that context to prepare a draft. The lawyer then verifies the draft against the work that was actually performed.
This creates a simple sequence:
Work activity is captured.
AI prepares a structured time entry.
The lawyer reviews and edits the entry.
The approved entry is released to billing.
The stronger the connection between captured activity and the draft entry, the easier it is for a lawyer to review the result.
What AI Can Help With
AI-assisted timekeeping can reduce repetitive administrative work.
Depending on the system, AI can help:
Detect work activity
Organize activity into time entries
Draft billing narratives
Suggest task or activity codes
Identify matter context
Prepare entries for review
Apply client billing guideline checks
MIRA states that it captures digital work activity, turns daily activity into structured entries, drafts billable narratives, and includes outside counsel guideline validation for billing entries.
What Lawyers Still Need to Decide
AI does not remove the need for professional judgment.
Lawyers may still need to decide:
Whether an activity is billable
Which matter should receive the time
Whether multiple activities should be combined
Whether the duration needs adjustment
How much detail is appropriate in the description
Whether a client rule changes how the work should be billed
Whether the entry is ready for release
A system should make these decisions easier to review, not hide them from the timekeeper.
Frequently Asked Questions
Are AI-generated legal time entries accurate?
AI-generated entries can provide a useful starting point, but accuracy depends on the captured activity, system configuration, matter context, and review process. Lawyers should verify the final entry before billing.
Can AI hallucinate a legal time entry?
Generative AI can produce incorrect or unsupported text. For timekeeping, firms should prefer systems that connect drafts to captured work activity and require review before release.
Should law firms automatically send AI-generated entries to billing?
A firm should follow its own approval and billing controls. A review step gives the lawyer or authorized reviewer an opportunity to verify the entry before it moves downstream.
What makes an AI time entry trustworthy?
Trust improves when the entry is connected to real work activity, includes enough context to review, can be edited, and requires appropriate approval before release.
Can AI check outside counsel guidelines?
AI can support billing guideline validation when the system includes that capability. MIRA states that its AI narrative workflow includes OCG validation intended to help entries meet client billing guidelines.
How does MIRA handle AI-generated time entries?
MIRA captures daily work activity, turns it into structured entries, drafts billable narratives, and gives users control over what is shared. Users can edit or approve entries in Microsoft Teams before syncing them with supported billing systems.
