SAIL is a private AI performance platform for legal-services providers, enabling firms to run local AI models over their own matter history while optionally using frontier AI for final work. The platform captures institutional knowledge from existing business applications, drafts work product from precedent, and masks confidential data before any external AI interaction. SAIL deploys entirely on the customer's infrastructure, with the firm owning all data, indexes, and workflow skills.
Funding
Funding not disclosed
Founders
Product
Problem
Legal-services providers face a dilemma: either they paste confidential client work into public frontier AI tools, exposing sensitive data, or they forgo AI efficiency altogether. Their institutional knowledge is scattered across email, CRM, matter management, and financial systems, forcing lawyers to manually re-assemble context for every new matter. This fragmentation slows cycle times, limits scalability, and prevents firms from building a durable, ownable asset from their own work product.
Solution
SAIL provides a private AI performance platform that runs entirely on the legal-services provider's own infrastructure, using a local AI model of their choice to search, draft, review, and automate work from the firm's complete matter history. The platform captures and indexes knowledge from existing business applications, then uses that corpus to draft new work product in the firm's own language and style. When frontier AI is needed for novel reasoning or research, SAIL's patent-pending Masking Engine substitutes confidential entities with tokens before sending only the necessary context externally, then restores the original values on return. Every external crossing generates a signed, hash-chained Compliance Receipt that records exactly what was sent, what was masked, and who approved it, providing third-party-verifiable evidence of client confidentiality. SAIL also encodes standard operating procedures as Skills—workflow files the firm owns—that run on the local AI to execute routine legal tasks like contract review, entity management, and filings. The platform is deployed on the customer's own hardware and AI accounts, with SAIL never interacting with or accessing the firm's data.
Target Audience
Primary customers are alternative legal service providers (ALSPs) and legal-services firms that handle high volumes of client matters and need to protect confidential information while leveraging AI for efficiency. The platform also serves legal departments and professional services organizations that require airtight client confidentiality and want to build an ownable institutional asset from their work product.
Features
- Local AI model support for Qwen, gpt-oss, DeepSeek, Mistral, Llama, and Gemma, with the ability to swap models at any time
- Patent-pending Masking Engine that substitutes confidential entities with tokens before external AI calls, with a Masking Dictionary generated from the firm's own records
- Hash-chained Compliance Receipts for every external crossing, including who, which matter, what was retrieved, masked entities, and approvals, signed and third-party verifiable
- Skills framework that encodes work procedures, document formats, and retrieval logic as files owned by the business, enabling repeatable process execution
- Connectors to email, CRM, matter systems, financials, and messaging apps, with the ability to update individual applications to keep the business in sync
- Full ownership of the deployed instance, configuration, connectors, Skills, Masking Dictionary, all matter content, indexes, audit records, and the repository itself
- Runs on the customer's own infrastructure with no SAIL service interacting with data; support access is scoped, time-bound, audited, and revocable
- Role-based access control enforced by SAIL, with administrators and auditors seeing status and audit records but never document content