Stop drafting engagement letters manually. Get a production-ready automated generation system in 5 business days.
Your pain: Law firms face dual pressure—clients demand faster turnaround times while document volume and complexity keep increasing. Manual engagement letter creation creates bottlenecks that delay client onboarding and eat into billable hours. Generic AI tools lack the legal compliance precision your practice requires.
5 pre-built engagement letter templates covering common practice areas (corporate, M&A, litigation, real estate, IP). Each template includes merge fields for client name, matter description, scope, fees, and termination clauses. Delivered as editable .docx files.
Production-ready Python script that accepts client intake data (JSON input) and outputs completed engagement letters via LLM API calls. Includes retry logic, token budgeting, and structured output parsing to ensure consistent formatting.
Validation rules that enforce jurisdiction-specific requirements (state bar rules, anti-engagement provisions, fee-disclosure mandates). The system flags missing fields, invalid clause combinations, and non-compliant language before output.
Connector module for Clio, PracticePanther, or custom CRM webhooks. Accepts standard intake forms and maps fields to template variables. Includes a generic REST API adapter for systems without native support.
Step-by-step operational guide covering template customization, validation rule tuning, error handling, and escalation workflows. Includes a tooling appendix listing approved LLM providers, API costs, and maintenance schedules.
The sprint includes pre-built connectors for Clio and PracticePanther out of the box. For other systems (LawPay, MyCase, Rocket Matter, or custom CRMs), the generic REST API adapter handles webhook payloads and field mapping. If your system uses a non-standard API format, additional configuration time may be required—Milo will assess during the Day 1 async intake.
Yes. All templates are delivered as editable .docx files with clearly documented merge field syntax. The generation script is open-source Python—you own it and can extend it. The validation YAML files use a human-readable format that your legal operations team can modify without developer involvement. Ongoing template updates are not included in the sprint price but can be scoped separately.
The script ships with adapters for OpenAI (GPT-4o), Anthropic (Claude 3.5 Sonnet), and Google (Gemini 2.0 Flash). You choose the provider based on your data residency requirements and API budget. The architecture uses a provider abstraction layer, so swapping providers requires only a configuration change—no code modifications. API costs are billed separately by your LLM vendor and are not included in the sprint price.
The schema-validation suite catches missing fields, invalid clause combinations, and jurisdiction-specific compliance violations before output. Letters that fail validation are held for review with flagged issues. The system does not auto-generate without passing all validation checks. The YAML validation rules are fully tunable—if your compliance requirements change, you update the rules file rather than the script code.