Case Study: How Text2SQL.ai Uses goHeather to Speed Up Enterprise Agreements

1. The Client

Text2SQL.ai is a leading AI Query Generator that converts natural language questions into highly accurate, optimized SQL queries. With over 256,000 users and a strong focus on data privacy (offering a secure, local desktop application), their business relies on rigorous attention to security and clear terms for their Enterprise and API clients.

Their legal team handles a high volume of complex agreements, including:

• Cloud & AI Vendor Contracts: Agreements with underlying Large Language Model (LLM) and cloud infrastructure providers (e.g., for data security, uptime, and intellectual property terms).
• Enterprise Customer Contracts: Agreements with large corporations, often requiring custom security addendums and complex licensing terms for their API and desktop product.
• API Terms of Service: Ensuring consistent liability, usage, and data governance terms for their public API.

2. The Challenge

Text2SQL.ai needed a way to ensure every contracr, whether a vendor agreement or a customer deal, met their high bar for data security, compliance, and consistency, especially given their product's focus on sensitive customer data (database schemas).

The team struggled with:

• Maintaining Consistency: Ensuring specific, non-negotiable security and data-handling clauses were present across all global enterprise customer contracts.
• Vendor Vetting: Rapidly reviewing complex LLM/cloud provider terms to confirm they met required SLAs and data governance policies.
• Deal Bottlenecks: Enterprise sales cycles were slowed down by manual legal review of custom customer security riders.

3. How goHeather Helps: The Security Playbook Workflow

Text2SQL.ai integrated goHeatherinto its Enterprise Sales and Procurement workflows, relying on a central "Security Playbook" for all contract types.

The process is as follows:

1. Upload: A new Enterprise Customer Security Addendum or an LLM Vendor Service Agreement is uploaded.
2. Summarize & Classify: goHeather instantly summarizes the most critical terms: Data Retention, Indemnity, Liability Caps, and SLA Guarantees.
3. Playbook Comparison: The AI compares the agreement against the Text2SQL.ai "Data Privacy & Security Playbook," which contains the company’s mandatory positions for handling database-related data.
4. Auto-Redline: goHeather automatically redlines the document, inserting or modifying clauses to align with the Playbook (e.g., automatically tightening data retention limits or ensuring strong vendor indemnity for data breaches).
5. Human Focus: Finance reviews the auto-generated redlines, now focusing only on the high-risk deviations flagged by the AI, significantly reducing their review time.

After signing up with goHeather, Text2SQL.ai secured a 60% faster turnaround on Enterprise agreements and saved signifcant moneies on the contract review process.