Automate Legal Billing and Time Tracking with Custom AI

Small firms of 5-30 attorneys often rely on practice management software like Clio or PracticePanther. These tools have timers and manual entry forms, but they cannot capture the significant amount of 'untracked' time. An attorney spends hours emailing, reviewing PDFs, and taking calls, but none of that activity is automatically logged as a potential time entry.

Consider this scenario: an associate at a 10-attorney litigation firm ends their day at 6 PM. They must then spend the next 45 minutes scrolling through sent emails, looking at their calendar, and cross-referencing phone logs to piece together their timesheet. They know they reviewed a 50-page discovery document but cannot recall if it took 1.2 or 1.5 hours. A 15-minute phone call with an expert witness is missed entirely. This results in 0.25 hours of lost revenue and 45 minutes of unbillable administrative time, per attorney, every day.

The structural problem is that practice management systems are designed as databases with manual input interfaces. Their architecture is built around user-initiated actions. They are not designed to be event-driven systems that ingest and interpret unstructured data from external sources like an email inbox. Their APIs allow you to push a completed time entry, but they lack the internal logic to create one from a raw PDF. This forces attorneys into the role of human data entry clerks.

The first step is an audit of your communication channels. We would map where billable work happens: email inboxes, document management systems, calendar events, and phone logs. Syntora would analyze 1-2 weeks of this data to identify patterns that signal billable activity. The output is a scoping document that defines the specific triggers for time entry creation.

The technical approach uses the Claude API to read and understand text from emails and documents. A FastAPI service would act as the core processor. When a new email arrives or a document is saved, an AWS Lambda function triggers the service. Claude extracts the client, matter, activity description, and estimates the duration. Data stays on client infrastructure, with AWS S3 used for temporary document storage during processing. A human-in-the-loop gate allows an attorney to approve all drafted entries before they are committed.

The delivered system provides a daily summary of drafted time entries for each attorney to review. With one click, they can approve the entries, which are then pushed directly into Clio or your existing practice management software via its API. The system includes a complete audit trail. We've built similar document processing pipelines for financial services, and the same architectural pattern applies directly to legal documents. A typical build cycle for this system is 4-6 weeks.