Automate Legal Compliance Checks for Your Firm

Most firms manage documents in practice management software like Clio or in generic systems like SharePoint. These are systems of record, not analysis. They store documents but cannot read their content, meaning an attorney must still open each PDF, read it line-by-line, and manually compare it to a checklist or another document.

Consider a firm specializing in commercial real estate that reviews 100 lease agreements monthly. A junior associate spends the first half of their day on compliance checks. They open a 50-page PDF from a client, open the firm's approved master lease in another window, and manually cross-reference clauses for insurance, indemnification, and default provisions. This process is slow and a single missed non-standard clause can expose the client to significant risk.

The structural problem is that off-the-shelf contract lifecycle management (CLM) tools impose rigid workflows and high per-seat fees, often exceeding $50,000 annually for a 20-person team. More importantly, these platforms are closed ecosystems. You cannot integrate your firm's proprietary clause library or run the analysis on your own infrastructure to guarantee client data privacy. Their data models are generic, not tuned to your firm's specific risk tolerance.

The result is a profitability bottleneck. Senior partners are pulled into routine reviews, and associates are buried in non-billable, low-skill work. The firm either absorbs the cost, slowing growth, or passes it to clients, becoming less competitive. The risk of a costly error from fatigue or oversight remains a constant liability.

The engagement would begin with a discovery phase to audit your existing agreements and clause library. Syntora would analyze 5-10 sample agreements for each major matter type to understand the structure and common deviations. This audit produces a clear data map and a set of rules for the AI to follow, which you approve before any code is written.

The core system would be a FastAPI service that receives new agreements via a secure endpoint or a monitored email inbox. It would use AWS S3 for document storage and a Python library like pdfplumber for text extraction. The extracted text is sent to the Claude API with a detailed prompt to identify specific clauses, flag non-standard language, and compare them against your firm's approved versions stored in a Supabase database. The entire process for a 50-page document would complete in under 60 seconds.

The delivered system provides a dashboard where attorneys see a queue of reviewed agreements. Each agreement has a summary of flagged clauses, a side-by-side comparison of the client's language versus your standard, and a risk score. An attorney can then accept, reject, or comment on each flagged item, creating an audit trail. You receive the full source code and a runbook for maintenance.