Automate Contract Review for Your Law Firm

Small law firms often manage review workflows with a combination of their Document Management System (DMS), like Clio or PracticePanther, and manual effort. These tools are excellent for storage and organization but lack any content intelligence. They cannot parse a contract, identify an indemnification clause, or tell you if the language deviates from your firm's standard.

Consider a 10-attorney firm that handles 20 new vendor agreements each month. A junior associate spends the first hour on each one, manually reading every line and comparing clauses against an approved language guide in a separate Word document. The work is tedious and carries a high risk of error. Missing a single critical phrase in a limitation of liability clause can expose a client to millions in uninsurable risk.

Off-the-shelf AI review products like LawGeex or Kira are designed and priced for large enterprises. They often require annual commitments starting at $25,000 and are trained on generic contract data. These systems cannot be easily tuned to your firm’s specific risk tolerance or unique clause library. The structural problem is their closed architecture; you cannot customize the analysis logic, audit the decision-making, or host the system on your own infrastructure to satisfy client data security requirements.

The first step would be a data and workflow audit. Syntora would work with your attorneys to gather 50-100 example contracts, including both your firm's paper and third-party paper you've redlined. We would also digitize your clause library or playbook. This discovery phase produces a data readiness report and a detailed project scope before any code is written.

The technical system would use a FastAPI service to manage the analysis pipeline. When a contract PDF is received via email or upload, it is stored securely in an AWS S3 bucket. An AWS Lambda function is triggered, which uses the Claude API to parse the document, extract key clauses, and compare them against vectorized embeddings of your firm’s approved language stored in a Supabase Postgres database. This event-driven architecture processes a 30-page agreement in under 90 seconds and costs less than $50 per month to operate for a typical firm's volume.

The delivered system provides a simple interface where attorneys see a summary of the contract and a list of flagged non-standard clauses. Each flag shows the problematic language side-by-side with your firm's approved alternative. The output is a starting point for the attorney's strategic work, not a replacement for it. You receive the full source code, a deployment runbook, and control over your data and infrastructure.