Aerial is an AI-powered legal document management platform specifically for startups, enabling seamless organization and storage of corporate information, contracts, and legal documents for due diligence readiness. Co-founded by Doug Logan and Michael Li. Founded 2021 in Seattle. ~6 employees. 691 LinkedIn followers. $2M funding (May 2024, per GeekWire). Drag-and-drop upload with ML-powered auto-organization. Red flag reports identify potential issues (missing IP assignments, unsigned documents). Described as ‘QuickBooks for legal docs’ by GeekWire. Machine learning identifies, organizes, and extracts information from uploaded documents. Targets tech startups, FinTech, PropTech, HealthTech, Construction Tech.
Company Info
- Founded: 2021
- Team size: 1-10 employees
- Funding: $2M
- HQ: United States
- Sector: Document Management & Storage
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Aerial Inc is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Aerial Inc addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Startup CTO realizes two days before a Series A closing that three engineer IP assignment agreements were never signed — the investors' counsel flags it as a deal-breaker and the round is delayed by two weeks while outside counsel scrambles to clean up the cap table
Where it fits in your workflow
Before Aerial Inc
Startup has corporate documents, contracts, and legal files scattered across Google Drive, email, and desktops → investor or acquirer asks for due diligence materials → founders scramble to organize months of documents
After Aerial Inc
After documents uploaded to Aerial → ML auto-organizes by type → red flags identified (missing IP assignments, unsigned docs) → due diligence data room ready → investor review proceeds without delays
Integrations & hand-offs
Startup file sources (Drive, email) → Aerial (ML organization + red flag detection) → investors/acquirers (due diligence access) → legal counsel (address red flags) → closing (organized document archive)
Community Data
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