Calculate Time Savings with AI Time Tracking Automation

Most law firms rely on the time tracking features within their Practice Management Software like Clio, MyCase, or PracticePanther. These tools are effective systems of record but depend entirely on manual input. An attorney must start and stop a timer or, more commonly, attempt to reconstruct their entire day from memory, calendars, and sent email folders. This process is inefficient and prone to error.

Consider a mid-level associate at a 15-attorney firm. They spend Monday working on three different matters. They have a 12-minute unscheduled call on one, review a 3-page discovery response on another, and draft a 4-paragraph email to opposing counsel on the third. At 5:30 PM, they try to log their time. They might forget the call entirely, underestimate the document review time, and fail to log the email. The firm loses 0.3-0.5 billable hours from one attorney in one day.

The structural problem is that a PMS is a database that waits for input; it cannot observe activity. It has no architectural connection to the places where work happens, like Outlook or a shared drive. Off-the-shelf time-capture tools exist, but they often operate as black boxes, sending sensitive client communications to third-party servers and offering little control over the classification logic. This creates security risks and fails to capture the nuances of a specific firm's billing practices.

The first step would be a discovery and audit process. Syntora would map every source of billable activity, including your email server (Microsoft 365 or Google Workspace), calendar, and document management system. We would analyze your matter numbering convention and current billing practices to define the logic for the AI. You receive a technical specification document that details the exact data flows and integration points before any code is written.

The system would be built as a set of services running on AWS Lambda, triggered by new activity. For an incoming email, a function would use the Claude API to parse the content, identify the client and matter, and summarize the activity. The result would be a structured time entry suggestion stored in a Supabase database. All data processing would occur within your firm's own cloud infrastructure, ensuring no confidential information leaves your control.

A simple web interface, built with FastAPI, would present each attorney with their daily suggested time entries. They can approve or edit these suggestions in under 15 minutes. Upon approval, the entries are pushed directly into your existing PMS via its API. The delivered system gives you an automated, auditable time capture workflow that plugs into your current software without forcing attorneys to change their primary tools.