AI time tracking software uses work activity and contextual data to prepare time-entry suggestions.
For law firms, the product may suggest:
Client
Matter
Work date
Duration
Billable status
Billing narrative
Task code
Activity code
Duplicate or unusual entry
The software should not convert every captured event into a bill automatically.
The lawyer or authorized reviewer should confirm the work, matter, duration, description, codes, billing treatment, confidentiality, and client requirements before release.
This guide focuses on procurement and implementation. For a capability-level explanation, see AI Time Tracker Guide for Legal Teams.
What Is AI Time Tracking Software?
AI time tracking software combines three functions:
Activity capture
AI-assisted preparation
Human review
Activity capture gathers records from approved work systems.
AI-assisted preparation groups activity and proposes structured time entries.
Human review determines what should be saved, excluded, corrected, or released.
A product that provides only a timer is not necessarily AI time tracking software.
A product that captures activity without a lawyer review workflow is not sufficient for legal billing.
Product Categories
AI time tracking products may be:
Standalone legal timekeeping platforms
Features inside practice-management software
Features inside enterprise finance or billing systems
Desktop activity-capture applications
Microsoft 365 or document-management add-ons
General employee time trackers with AI features
Professional-services timekeeping platforms
The category affects:
Matter context
Billing-code support
Client-rule support
Privacy model
Integration depth
Lawyer workflow
Reporting
Compare products with similar responsibilities.
Legal Workflow Requirements
A legal AI timekeeping workflow should support:
Clients and matters
Several matters for one client
Active and closed matters
Billable and non-billable work
Draft entries
Lawyer review
Billing descriptions
UTBMS or custom codes
Client-specific rules
Personal activity exclusion
Split and merge
Duplicate and overlap review
Approved release to finance
A generic productivity tracker may lack these controls.
Capture Methods and Data Sources
Evaluate support for:
Outlook Calendar
Email
Microsoft Teams
OneDrive
iManage Work
Browser activity
Calls
Meetings
Timers
Practice-management systems
Matter-management systems
Ask exactly what is collected:
Metadata
File names
Document titles
Document content
Email subjects
Email bodies
Participants
Browser URLs
Screenshots
Keystrokes
Application duration
The least intrusive source that provides sufficient evidence is generally preferable.
Matter Classification and Duration
Test how the product assigns a matter.
Possible signals include:
Document workspace
Email filing location
Client name
Participants
Matter alias
Prior approved entries
User selection
Test difficult cases:
One client with several matters
One meeting covering several matters
Internal work
Personal activity
Work without a digital matter identifier
Documents copied across workspaces
Also test duration logic.
A document open for 45 minutes does not necessarily represent 45 minutes of focused work.
The software should show how duration was proposed and allow correction.
Narratives, Codes, and Validation
AI may draft:
Billing narratives
Task codes
Activity codes
Billing status
Matter phase
The software should prevent unsupported detail from appearing as fact.
Test whether it can identify:
Vague descriptions
Block billing
Missing purpose
Code and narrative mismatch
Duplicate entries
Overlapping activity
Unusual duration
Missing matter
Client-specific restrictions
Validation should create understandable warnings or errors rather than silently altering entries.
Lawyer Review Experience
The daily review experience is one of the most important buying criteria.
A lawyer should be able to:
View source activity
Confirm the matter
Adjust duration
Change billing status
Rewrite the description
Correct codes
Split entries
Merge related activity
Exclude personal work
Save drafts
Approve or release entries
Measure:
Review time per day
Number of clicks
Mobile support
Microsoft Teams support
Keyboard accessibility
Bulk actions
Exception handling
User confidence
A high capture rate does not matter when lawyers avoid the review queue.
Privacy and Confidentiality
Ask:
Which systems are connected?
What content is processed?
Is firm data used to train shared models?
Where is data stored?
Which subprocessors are involved?
How long is activity retained?
Can users exclude personal activity?
Can capture be paused?
Can administrators view raw activity?
Are source permissions respected?
Can the firm export and delete its data?
Is there an audit trail?
ABA Formal Opinion 512 explains that existing duties continue to apply when lawyers use generative AI, including competence, confidentiality, supervision, communication, and reasonable fees.
Security and Enterprise Controls
Evaluate:
Encryption
Multi-factor authentication
Single sign-on
Role-based access
Matter permissions
Ethical walls
Audit logs
Backups
Disaster recovery
Incident response
Data segregation
Data location
Retention
Deletion
Export
Vendor termination
Security assessments
Security claims should be supported by current documentation and contractual commitments.
Integrations and System Architecture
List required integrations:
Microsoft 365
Document-management system
Matter-management system
Practice-management system
Billing and finance system
Identity provider
Data warehouse
Reporting platform
Ask:
Is the integration native?
Which fields move?
Is synchronization one-way or two-way?
How often does it run?
How are errors reported?
Which system owns the time entry?
Can approved entries be corrected?
Is API access available?
Who supports the connection?
MIRA belongs upstream of invoice generation and accounting.
Reporting and Accuracy Metrics
Track accuracy by field:
Matter acceptance rate
Matter correction rate
Duration correction rate
Billing-status correction rate
Narrative edit rate
Task-code correction rate
Activity-code correction rate
Duplicate detection accuracy
Personal exclusion rate
Entries approved without change
Review time
Submission lag
Finance-integration errors
Do not accept one overall “accuracy” percentage without a definition.
Frequently Asked Questions
What is AI time tracking software?
It captures approved work activity and uses AI to prepare draft time-entry suggestions for human review.
Is AI time tracking software the same as a timer?
No. A timer measures elapsed time. AI software may also classify matters, draft narratives, suggest codes, and identify exceptions.
Should AI-generated time entries be approved automatically?
No. A lawyer or authorized reviewer should confirm the work, matter, duration, billing status, description, codes, and client rules.
What integrations matter most?
Common needs include Microsoft 365, document management, matter or practice management, finance, identity, and reporting systems.
Is MIRA a full legal billing platform?
No. MIRA focuses on time capture, time-entry preparation, review, and release toward supported finance systems.
