Automate Contract Review and Save Attorney Hours

Many small law firms use practice management software like Clio or PracticePanther. These are excellent for case management and billing, but their document features are simply storage. An attorney must still manually open a vendor's 30-page MSA, open the firm's template in another window, and visually compare every clause. The approved language is disconnected from the review workflow, creating tedious, error-prone work.

Enterprise-grade AI tools like Kira Systems exist, but they are built for large-scale M&A due diligence with pricing to match. A 15-attorney firm does not need to analyze 10,000 documents for a single transaction. Paying a five-figure annual subscription for a tool used on a few dozen contracts a month is not a viable economic model for a small practice. Furthermore, their models are often a black box, making it impossible to tailor the logic to your firm's specific risk tolerance.

Consider a junior associate at a firm representing tech startups. They receive a new vendor agreement and spend the next 45 minutes of low-value billable time comparing the indemnification and liability clauses line-by-line against a master Word document. They find two non-standard phrases that require partner review. This manual process repeats for every new agreement, creating a bottleneck that delays deals and burns out associates on repetitive tasks.

The structural problem is that existing legal tech serves two ends of the market: practice management or massive-scale diligence. There is no middle ground for a small firm that needs intelligent automation on a focused set of documents. These tools lack the architectural flexibility to connect to a firm's bespoke clause library and apply its specific logic without charging enterprise-level fees.

An engagement would begin with a document audit. Syntora would work with you to analyze 50-100 of your firm's executed agreements to establish a 'golden set' of standard clauses for key areas like confidentiality, termination, and limitation of liability. This process creates a structured, queryable version of your firm's institutional knowledge, which becomes the ground truth for the AI.

The proposed system would use a FastAPI service as a secure API layer. When an attorney uploads a PDF contract, it is stored in a private AWS S3 bucket and processed. The Claude API parses the document text, identifies key clauses, and compares each one semantically against the approved versions stored in a Supabase database. Claude's large context window is ideal for handling long, complex legal documents, while Supabase provides a simple and secure backend for the firm's private clause library.

The deliverable would be a simple web application where staff can upload a contract and receive a complete analysis in under 60 seconds. The report highlights non-standard, missing, or altered clauses and provides a direct comparison to the firm's approved language. The system includes a human-in-the-loop review gate, ensuring an attorney makes the final judgment on any flagged term. All data and processing would occur within your firm's private cloud infrastructure.