The Challenge
A boutique legal services firm needed an efficient way to convert attorney time notes into client invoices. A billing administrator spent around 15 hours weekly manually extracting time entries from notes and emails, creating a bottleneck that delayed invoicing by several days and impacted cash flow.
The firm prided itself on responsive client service, but its billing process relied on manual workflows. Legal professionals recorded time in many formats—emails to the billing inbox, notes in shared files, handwritten logs, and voice memos transcribed to text. A single billing administrator then had to interpret, standardize, categorize, and enter this information to produce invoices.
Time-Intensive Manual Entry
A billing administrator spent around 15 hours per week manually extracting and entering time data from notes, emails, and other unstructured sources.
Inconsistent Time Entry Formats
Time was recorded in many formats and locations (emails, shared documents, handwritten notes, transcribed voice memos), requiring interpretation and standardization.
Delayed Client Invoicing
Manual processing created multi-day delays between work completion and invoice generation, negatively impacting cash flow and client perception of efficiency.
Billing Team Bottleneck
A single point of failure—when the billing administrator was out sick or on vacation, invoicing slowed significantly or required temporary support.
Lost Billable Time
Legal professionals occasionally forgot to document time entries, especially for quick phone calls or email reviews, resulting in missed revenue estimated at $3,000–$5,000 monthly.
Our Solution
DoozerAI developed Iris, a virtual worker that monitors designated email inboxes and shared folders for time entries, uses natural language processing to extract billable details regardless of format, automatically categorizes by client and matter, and generates draft invoices ready for review—transforming 15 hours of weekly work into 3 hours.
Implemented an intelligent extraction and categorization system that understands legal billing context, handles natural language descriptions of work performed, and integrates with existing practice management software—requiring minimal change to how legal professionals submit time while dramatically improving billing efficiency.
Flexible Time Entry Recognition
Iris understands time entries in any format—emails ('Spent 2.5 hours drafting motion for a client'), notes ('Call re: contract review - 0.75h'), or structured logs—extracting hours, dates, client identifiers, and work descriptions automatically.
Intelligent Client/Matter Matching
AI automatically identifies which client and matter each time entry belongs to based on context, name variations, and historical patterns—reducing manual categorization and minimizing errors.
Draft Invoice Generation
Generates complete draft invoices grouped by client and matter, formatted according to firm standards, with professional descriptions—ready for billing review and approval in minutes instead of hours.
Practice Management Integration
Seamlessly integrates with the firm’s existing legal practice management system, automatically creating time entries and maintaining data synchronization—no duplicate entry required.
Results & Impact
Iris transformed the firm’s billing process, reducing manual data entry from 15 hours to 3 hours weekly—an 80% time savings. The automation processes 400+ time entries monthly with 94% accuracy, enabling same-day invoice generation and improving cash flow through faster billing cycles.
"Iris has been a game-changer for our billing process. What used to take most of my week now takes a couple of hours to review and finalize. I can focus on billing questions and collections follow-up instead of being buried in data entry."