LegalGraph provides an AI‑powered back‑office platform that centralizes contract review, compliance automation, and financial analysis for mid‑market legal and accounting teams. Integrated as a Microsoft Word plugin, it extracts obligations, flags risky clauses, and generates real‑time confidence scores while automating reminders and audit trails, enabling faster, data‑driven decision making without extensive IT infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Mid-market enterprises often rely on manual spreadsheet processes and fragmented CLM/ERP tools to handle contract review, compliance tasks, and financial analysis, leading to slow turnaround, errors, and limited visibility for leadership.
Solution
LegalGraph offers an AI-powered back‑office platform that centralizes contract review, compliance workflow automation, and financial analysis within a single solution. The system integrates directly with Microsoft Word, allowing users to work in familiar environments while the AI extracts key obligations, flags risky clauses, and suggests improved terms. Automated reminders and escalation sequences keep certifications such as COIs up to date, and a full audit trail records every interaction. Real‑time insights and confidence scores are delivered to accounting and legal teams, enabling faster, data‑driven decision making without the need for hyperscaler infrastructure.
Target Audience
Primary customers are accounting and legal departments of mid‑market companies that need to streamline contract management, compliance monitoring, and financial planning without extensive IT overhead.
Features
- Microsoft Word plugin that runs AI contract review and clause extraction inside the native authoring tool
- End‑to‑end compliance workflow automation with auto‑generated reminders, multi‑stage escalations, and immutable audit logs
- Lease negotiation agent that identifies unfavorable terms, quantifies financial commitments, and produces concise abstracts
- Financial analysis module that aggregates extracted data to support budgeting, forecasting, and KPI reporting
- Confidence scoring for AI outputs to help users prioritize review of high‑risk items
- Seamless integration with existing back‑office systems, eliminating the need for large‑scale cloud resources