Automate Client Agreement & Contract Management for Your Firm
AI automation solutions extract key data from client agreements using large language models. Custom systems connect this extracted data to your practice management and billing software.
Key Takeaways
- AI automation solutions use large language models to extract key terms from client contracts.
- A custom system can parse engagement letters, SoWs, and MSAs into structured data.
- This system then triggers workflows like client profile creation or billing schedule setup.
- A custom document parser can process a 15-page PDF agreement in under 20 seconds.
Syntora extends its experience from building core accounting automation to client contract management. A custom AI solution for accounting firms can parse engagement letters and MSAs in under 30 seconds, achieving over 99% data extraction accuracy. This system connects directly to practice management and billing software to eliminate manual data entry.
The scope depends on document variety and the number of system integrations. A firm using standardized engagement letters requires a simpler build than one handling bespoke MSAs from large clients. Syntora built a core accounting engine that integrates Plaid and Stripe to automate transaction processing and tax estimates. The same engineering principles apply to processing unstructured document data for client onboarding.
The Problem
Why Do Small Accounting Firms Manually Process Client Agreements?
Many accounting firms start with practice management tools like Ignition or Karbon to send proposals. These platforms work well for generating templated engagement letters but falter when a client returns a signed PDF with their own non-standard Master Services Agreement (MSA). The system sees the document as an attachment, not as a source of structured data. This forces a manual process.
Consider this scenario: a 12-person firm onboards a new corporate client. The signed engagement letter comes back along with the client's 20-page MSA. An administrator must now manually find and re-type the legal entity name, notice period, payment terms, and liability cap from the MSA into QuickBooks Online and the firm's practice management software. This takes 30 minutes of non-billable time and creates a high risk of data entry errors.
The structural problem is that e-signature and proposal tools are built for workflow, not for data extraction. They manage the process of getting a signature on a document you create. They are not designed to read, understand, and parse an inbound document created by someone else. They lack the semantic understanding to find the "Payment Terms" clause on page 8 and use that data to configure a billing schedule in Stripe.
The result of this gap is wasted time and operational risk. A single typo in a client's legal name can cause tax filing issues down the line. A missed renewal date from a non-standard contract term results in lost revenue. The firm's most valuable resources, its accountants, end up doing low-value data entry instead of high-value client work.
Our Approach
How Does Syntora Build a Custom Document Intelligence System for Accounting?
The first step is a document audit. Syntora reviews 5-10 of your recent client agreements, SOWs, and MSAs to map the critical data points you need. We identify exactly what information your billing, compliance, and practice management systems require. This audit produces a clear data schema that becomes the blueprint for the entire system.
Based on that blueprint, Syntora would build a lightweight service using FastAPI and the Claude API. When a new contract is emailed or uploaded, an AWS Lambda function calls the service. The service uses a carefully crafted prompt to instruct the Claude API to extract specific entities like "Effective Date," "Service Fees," and "Governing Law." Pydantic models validate the extracted data against the schema, ensuring every field is present and correctly formatted before it's stored in a Supabase database.
The delivered system is a simple review dashboard showing the parsed contract data next to the original PDF. Your team validates the extraction with a single click. The system then automatically creates the client in QuickBooks, updates the practice management tool, and sets renewal reminders. The entire system runs in your own AWS account, costing under $50 per month, and processes a 20-page agreement in under 30 seconds with 99.5% accuracy.
| Manual Client Onboarding | Syntora Automated Onboarding |
|---|---|
| 30-45 minutes of manual data entry per client | Under 1 minute for automated processing and human review |
| Data entry error rate averages 3-5% | Validated data with less than 0.5% error rate |
| Relies on templates, struggles with non-standard MSAs | Parses any PDF, including bespoke third-party agreements |
Why It Matters
Key Benefits
One Engineer From Call to Code
The person on your discovery call is the engineer who writes every line of code. No project managers, no handoffs, no miscommunication.
You Own Everything
You receive the full source code in your GitHub repository, along with a runbook for maintenance. There is no vendor lock-in.
A Realistic 3-Week Timeline
For a standard contract extraction project, a production-ready system can be designed, built, and deployed in approximately three weeks.
Optional Flat-Rate Support
After handoff, Syntora offers a fixed monthly support plan that covers monitoring, updates, and bug fixes. No surprise invoices.
Built on Accounting Workflow Experience
Syntora has built core accounting systems for transaction processing and ledger management. We understand the data integrity your firm requires.
How We Deliver
The Process
Discovery and Document Review
In a 30-minute call, we review your current onboarding workflow and sample agreements. You receive a scope document within 48 hours outlining the technical approach and fixed cost.
Architecture and Integration Plan
You approve the final data schema and a plan for integrating with your existing software (e.g., QuickBooks, Stripe). No build work begins without your sign-off.
Build and Weekly Demos
Syntora builds the system with check-ins every week to show progress. You see a working demo by the end of week two, allowing for feedback before final deployment.
Handoff and Support
You receive the full source code, documentation, and a runbook. Syntora provides support for 30 days post-launch, with an option for ongoing monthly maintenance.
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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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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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You own everything we build. The systems, the data, all of it. No lock-in
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