Build an AI Intake System for Your Law Firm

Small law firms (5-30 attorneys) often rely on practice management software like Clio or PracticePanther. These tools are excellent databases for tracking matters and billing, but their automation features are based on rigid rules. They can trigger an email template when a form is filled out, but they cannot understand the content of an unsolicited email or a scanned PDF from a potential new client.

Consider a personal injury firm that receives an email from a potential client. Attached is a 10-page PDF containing a mix of a handwritten narrative, photos of an accident, and an initial police report. A paralegal must manually download this file, read the entire document, identify key facts, summarize them, and then manually create a new potential matter in Clio. This process takes 20 minutes of skilled time, and the client waits hours for a response.

The core problem is architectural. Your practice management system is designed to store structured data, not interpret unstructured language. It has no native capability to perform Optical Character Recognition (OCR) on a scanned document or use a large language model to comprehend a narrative. This forces your staff into the role of human middleware, copy-pasting information between systems and introducing a significant delay at the most critical point in the client journey.

The consequence is not just inefficiency. The delay in response time can mean losing a potential client to a competitor. Furthermore, the manual data entry is prone to error, which can lead to incorrect information being entered into the official case file from the very beginning.

The first step is a discovery process to map your firm's exact intake workflow for each matter type. Syntora would review your current process, from the first client email to the creation of a formal matter. This audit identifies the specific information you need to extract and the human approval steps required before any action is taken. You receive a detailed data flow diagram and system architecture for approval before the build begins.

Syntora would build a secure processing pipeline using FastAPI, AWS S3, and the Claude API. When an email arrives, its attachments are saved to an S3 bucket you control. The FastAPI service calls Claude API to perform OCR, classify the document by matter type, extract key entities like names and dates, and generate a concise summary. This summary, along with a link to the original documents, would be routed to the correct attorney or paralegal for a 1-click review. The entire process maintains a complete audit trail in a Supabase database.

The delivered system integrates with your existing workflow. A designated staff member would see a simple dashboard with pending intake summaries. After their review and approval, the system can automatically create a draft matter in Clio and send a personalized follow-up email to the client with a pre-filled intake form link. This combination of AI processing and human-in-the-loop control ensures both speed and accuracy, reducing response time from hours to under 2 minutes.