Improve Time Tracking and Reduce Billing Errors with Custom AI

Most small law practices use software like Clio, MyCase, or PracticePanther. These tools are excellent for case management and invoicing, but their time tracking modules are fundamentally passive. They require an attorney to manually start a timer, stop a timer, or reconstruct their activities at the end of the day. The software cannot proactively identify unbilled work. It cannot read an email to opposing counsel and suggest a 0.2-hour time entry for 'legal correspondence.'

Consider this common scenario for a 10-person firm: an attorney spends Friday afternoon trying to piece together their week. They scroll through hundreds of sent emails in Outlook and review their document history. They bill for the major tasks they remember, like drafting a brief. They completely forget a 15-minute unscheduled client call from Tuesday and two substantive email exchanges about discovery on Wednesday. This leakage of 0.7 billable hours might seem small, but across 10 attorneys, it can easily represent over $20,000 in lost revenue per month.

The structural problem is that practice management systems are designed as databases with timers attached. Their architecture is for storing records, not for understanding the unstructured content within documents and emails where billable work actually happens. They are reactive tools that depend entirely on perfect, real-time human input, which is an unrealistic expectation in a busy law practice. The problem is not a missing feature, but a fundamental architectural limitation.

The first step would be to audit the firm's primary data sources where work occurs. Syntora would analyze your Microsoft 365 or Google Workspace environment to map communication patterns, document creation, and calendar events. We would review a sample of 200 of your firm's past time entries to understand the specific language and ABA task codes you use for activities like 'drafting motion' versus 'client communication.'

The technical approach would use a series of event-driven AWS Lambda functions. When a new email is received or a document is saved, a function would trigger, sending the text content to the Claude API for analysis. A carefully constructed prompt would instruct Claude to classify the activity, identify the relevant matter, and suggest a time entry in 0.1-hour increments. These suggestions are stored in a Supabase database, never on any Syntora-owned server.

The delivered system would be a daily digest email sent to each attorney with suggested time entries, like 'Drafted response to opposing counsel's discovery request, 0.4 hours, Matter 123-A.' With a single click, the attorney can approve, edit, or discard the entry. Approved entries would then be pushed directly into your existing Clio or MyCase system via their API. The entire system would run within your firm's own secure AWS account.