Automate Your Law Firm's Client Intake and Case Management
Syntora builds custom AI automation for client intake and case management at small law firms. Our systems parse emails and documents to automatically create and summarize new matters.
Key Takeaways
- Syntora builds custom AI automation for client intake and case management for small law firms.
- The systems use AI to classify documents, summarize cases, and route matters to the right attorney.
- All data processing happens on your firm's private cloud infrastructure, ensuring client confidentiality.
- A typical AI-assisted intake system can reduce manual data entry for a new matter from 15 minutes to under 2 minutes.
Syntora designs AI-powered client intake systems for small law firms to reduce manual data entry. The system would use the Claude API to classify documents and summarize new cases, cutting matter creation time from 15 minutes to under 2 minutes. Syntora ensures all data processing occurs on the client's own cloud infrastructure for complete data security.
The project scope depends on the number of intake channels and practice areas. A firm with two practice areas receiving inquiries via a single web form is a focused build. A firm with five practice areas handling PDFs, emails, and web leads requires more complex classification logic and integration work.
The Problem
Why Do Small Law Firms Still Process Client Intake Manually?
Most small law firms rely on Practice Management Software (PMS) like Clio or MyCase. These platforms are excellent for billing and document storage, but their automation is limited to simple rules. They can send a template email when a contact form is filled, but they cannot read the prospect's email, understand the context, and create a structured case summary.
Consider a 10-attorney personal injury firm that gets 50 new inquiries a week via a contact form. A paralegal must read each email, identify the case type, pull out names and incident dates, calculate the statute of limitations, and manually type everything into Clio to create a new matter. This process takes 15 minutes per inquiry, consuming over 10 hours of non-billable time weekly and creating a bottleneck that delays attorney response.
The core problem is architectural. Your PMS is a database designed for structured data entry, not a language processing engine. It cannot interpret unstructured text from an email or a scanned police report. This forces your most valuable support staff into low-value data entry work, where a single typo can create a significant data quality issue down the line.
Our Approach
How Syntora Would Build an AI-Powered Intake and Case Management System
The first step is a discovery audit of your current intake workflow. Syntora would analyze samples of your intake emails and documents for each practice area to map the key information you need to extract. We would also review your PMS's API documentation to plan the integration for creating new matters. You would receive a clear data flow diagram and a technical plan before any code is written.
The proposed system would be a FastAPI service running on AWS Lambda. When an email or PDF arrives, it triggers the service. AWS S3 would store the document securely, and the Claude API would read it to classify the matter type, extract entities like names and dates, and generate a concise summary. All extracted data is stored with an audit trail in a Supabase database. This entire automated process would take under 60 seconds to complete.
The deliverable is not a fully autonomous system, but a human-in-the-loop tool. A paralegal would get a notification to review the AI-generated summary and extracted data in a simple web interface. With one click, they approve it, and the system uses the PMS API to create the new matter perfectly. The system can handle over 5,000 documents a month with hosting costs typically under $75, and its classification error rate would be under 1%.
| Process | Manual Intake (Typical PMS) | AI-Assisted Intake (Syntora Build) |
|---|---|---|
| Time per New Matter | 10-20 minutes | Under 2 minutes (includes human review) |
| Data Entry Error Rate | 3-5% (typing, copy-paste) | <0.5% after review |
| Paralegal Time (50 inquiries/wk) | 8-16 hours per week | ~1.5 hours per week |
Why It Matters
Key Benefits
One Engineer, From Call to Code
The person on your discovery call is the senior engineer who writes every line of code. No handoffs to project managers or junior developers.
You Own Everything, Forever
You receive the full source code in your firm's GitHub and the system runs on your cloud infrastructure. There is no vendor lock-in.
A Realistic 4-6 Week Timeline
A typical client intake automation build takes 4-6 weeks from discovery to deployment. The timeline is fixed and transparent from day one.
Direct Support After Launch
After handoff, you have a direct line to the engineer who built your system. Optional monthly plans cover monitoring, updates, and maintenance.
Built for Legal Confidentiality
Your client data is never sent to Syntora or any third party. The entire system operates within your firm's secure AWS environment with full audit trails.
How We Deliver
The Process
Discovery Call
A 30-minute call to understand your firm's intake process, pain points, and existing software. You receive a written scope document outlining the proposed solution and a fixed price within 48 hours.
Architecture and Data Review
You provide anonymized sample documents and access to your PMS's API documentation. Syntora presents a detailed system architecture and data flow for your approval before the build begins.
Build and Weekly Reviews
You get weekly progress updates and a link to a staging environment to test the system. Your feedback directly shapes the user interface for the human-in-the-loop review step.
Handoff and Support
You receive the complete source code, a deployment runbook, and system documentation. Syntora monitors the system for 8 weeks post-launch, with optional ongoing support available.
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The Syntora Advantage
Not all AI partners are built the same.
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Assessment phase is often skipped or abbreviated
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We assess your business before we build anything
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Typically built on shared, third-party platforms
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Fully private systems. Your data never leaves your environment
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May require new software purchases or migrations
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Zero disruption to your existing tools and workflows
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Training and ongoing support are usually extra
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Full training included. Your team hits the ground running from day one
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Code and data often stay on the vendor's platform
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You own everything we build. The systems, the data, all of it. No lock-in
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