GC AI
PaidAI platform built by in-house lawyers for in-house lawyers to draft, review, and analyze legal docs in seconds.
What is GC AI?
GC AI is an AI productivity platform designed exclusively for in-house legal teams, founded by a three-time General Counsel. Unlike general-purpose AI tools or law-firm-focused platforms, GC AI is built around the day-to-day reality of corporate counsel: concise, business-focused answers, a Skill Library for common in-house tasks like MSA and NDA review, contract agents that work directly in Microsoft Word, and an Easy Prompt feature that turns simple language into precision legal prompts. GC AI is used by 1,800+ in-house legal teams at companies like Vercel, Snyk, Gusto, Liquid Death, and Arc'teryx. It maintains SOC 2 Type II and SOC 3 certification, and has zero data retention agreements with all underlying AI providers so your confidential legal work is never used to train external models.
Key Features
Integrations
How to Use GC AI
✅ Best For
- In-house legal counsel and generalist corporate lawyers at growth-stage and enterprise companies who handle a wide variety of commercial contracts and need fast, business-focused answers without switching between multiple tools.
- Solo general counsel at startups and scale-ups who want firm-quality contract review and research output at a fraction of the cost of outside counsel, with strong privacy protections for sensitive company information.
❌ Not For
- Law firms and litigators who need deep caselaw research across specialized practice areas, as GC AI is explicitly optimized for generalist in-house work rather than complex litigation research.
- Teams looking for a full contract lifecycle management platform with workflow automation, approval routing, and e-signature, since GC AI focuses on AI-assisted work rather than end-to-end CLM infrastructure.
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Pricing
- ✓Single seat
- ✓full platform access
- ✓Shared skills and prompts across team
- ✓SSO
- ✓directory sync
- ✓audit logs
Prompts to Try
Review this MSA and flag clauses that deviate from market standard
Draft a one-page summary of the key risks in this vendor agreement
Explain the difference between indemnification and limitation of liability
Create an NDA for a SaaS pilot between two US companies
What are my obligations under this data processing agreement?