Automate Proposal and SOW Generation for Your Law Firm

Small law firms often rely on a patchwork of Microsoft Word templates and a practice management system like Clio. An associate drafts an engagement letter by manually copying client details from Clio and pasting scope descriptions from their notes. This process is slow and introduces significant risk. A single copy-paste error can put the wrong client name or an incorrect fee structure into a binding document, creating a malpractice liability.

Practice management software like PracticePanther or MyCase offers document automation, but it functions like a basic mail merge. These systems can populate a template with structured data from CRM fields, like a client's address. They cannot parse the unstructured nuance from an hour-long discovery call recording. They cannot handle conditional logic, such as inserting a specific conflicts waiver only for litigation matters or a performance guarantee clause for a fixed-fee engagement.

A typical scenario involves an associate spending 3-4 hours of non-billable time per new client. They listen to a Gong recording, re-read notes in Salesforce, and manually piece together the SOW. The partner then spends another hour reviewing and correcting it, catching items from the call that were missed. This cycle consumes nearly half a day of expensive time that could be spent on billable work.

The structural problem is that off-the-shelf software is built for linear sales processes with standardized products. Legal services are bespoke. The true scope of work, fee arrangements, and specific client needs are captured in conversations, not in structured CRM fields. These tools lack the AI layer needed to understand unstructured text and apply complex, firm-specific rules to generate a correct and compliant document.

The first step is a discovery audit of your existing documents and intake process. Syntora maps every variable field, conditional clause, and data source, from your call recording platform to your CRM. We built a JSON config-driven SOW generator for our own use that handles dynamic clauses and conditional sections. We would apply this same model to your engagement letters, fee agreements, and SOWs, creating a central logic engine for all client-facing documents.

The core of the system would be a FastAPI service that uses the Claude API to extract key terms, scope items, and pricing from your Gong or Fireflies call transcripts. This service would cross-reference the extracted data with information in Salesforce or Clio to ensure consistency and detect contradictions between what was discussed and what is in the Master Services Agreement (MSA). This architecture ensures the generated document reflects the complete, most recent understanding with the client.

The delivered system is an API endpoint that your team can trigger from your existing workflow. For example, a paralegal could initiate SOW generation from a button within Salesforce. The final HTML document is then ready for review in under a minute. You receive the full Python source code, a runbook for updating clauses in the JSON configuration file, and a system deployed in a secure cloud environment that you control.