Custom AI Case Management for Small Law Firms

Small law firms often rely on systems like Clio, MyCase, or PracticePanther. These platforms are excellent for managing contacts, billing, and deadlines. However, their automation features are based on simple rules. They can trigger a task when a form is filled out, but they cannot read and understand the unstructured content of an email or a scanned PDF.

Consider a 5-attorney family law practice receiving 10 new inquiries a day. A paralegal must manually read each email and its attachments. They then copy names, dates, and case details into Clio, create a new matter, upload the documents, and write a summary for the assigned attorney. This process takes 15-20 minutes per inquiry, consuming over 3 hours of skilled labor daily on low-value administrative work.

The core problem is architectural. Off-the-shelf case management systems are databases with a user interface. They are built to handle structured data entered into predefined fields. They are not designed to be processing pipelines for unstructured information like a narrative email from a potential client or a 50-page scanned complaint from opposing counsel. This forces your staff to act as a human bridge, manually converting unstructured data into the structured format your software demands.

The engagement would start with a discovery process to map your firm's client intake workflow. We would identify your 3-5 most common matter types and collect anonymized examples of the initial emails and documents for each. This audit defines the exact data points that need to be extracted, such as plaintiff names, case numbers, and key dates, which forms the basis for the AI system's logic.

The technical approach would be a Python service built with FastAPI that connects to your firm's email server. When a new email with an attachment arrives, the document is saved to AWS S3. An AWS Lambda function triggers an OCR process if it's a scanned PDF. The resulting text is then passed to the Claude API with a carefully engineered prompt to classify the matter type, extract key entities, and generate a 150-word summary. All structured data and an audit trail are stored in a Supabase database.

The delivered system integrates with your current workflow. The AI-generated summary and a link to the original documents are routed to the correct attorney based on the classified matter type. Simultaneously, the system uses Clio's API to create a new contact and matter, pre-filling all the extracted data. Your attorneys receive a complete, summarized case file in under 60 seconds, ready for review.