Get AI-Powered Document Review Built for Your Firm

Many small law firms use practice management systems like Clio or PracticePanther for document automation. These tools are excellent for generating documents from templates, populating client information into a standard retainer agreement. Their architectural weakness is an inability to read or understand incoming third-party documents. They can create, but they cannot review.

A 15-attorney firm specializing in commercial real estate faces this constantly. An associate receives a 40-page lease from a counterparty. They must then spend three hours manually comparing every clause against the firm's approved language, which lives in a separate Word document. This is tedious, error-prone, and represents non-billable time that delays the actual legal analysis.

Larger, off-the-shelf AI contract review platforms like Luminance or Kira exist, but they are built for Big Law. Their pricing model, often exceeding five figures annually per seat, is prohibitive for a small office. Furthermore, their AI models are black boxes trained on a generic legal corpus. They cannot be easily customized to a firm's niche practice area or specific risk tolerance without an enterprise-level services agreement. You are forced to adapt your review process to their software's capabilities.

The structural problem is that existing tools are either too simple or too complex. Practice management software treats documents as templates to be filled, not as text to be analyzed. Enterprise AI platforms treat small firms as a market they are not built for, with inflexible models and inaccessible pricing. This leaves a gap for a system designed specifically for the needs and budget of a small, specialized practice.

The first step would be to audit your firm's current review process. Syntora would analyze 10-15 recent contracts and your complete clause library to map the decision-making logic an associate currently uses. This audit produces a clear specification for the system, defining what constitutes a standard clause, a minor deviation, or a major red flag that requires attorney review.

The core of the system would be a Python-based FastAPI service running on your firm's private AWS account. When a document is uploaded, the service passes the text to the Claude API with a detailed prompt engineered to identify and extract key clauses. Each extracted clause is then checked against your firm's approved language, stored in a Supabase database which can handle a library of over 50,000 clauses. The system uses vector similarity search to flag any term that deviates by more than a set threshold, like 15%.

The delivered system is a simple, secure web application accessible only to your firm. An attorney uploads a document and, in about 60 seconds, receives an annotated version. This report highlights non-standard language, suggests replacements from your library, and provides a summary of all deviations. You receive the full source code and a maintenance runbook, giving you complete ownership and control over the tool and your client's data.