Venture Capital One-Pager (Tear Sheet) Creator

AutoDraft - VC Tear Sheet

One-Line Pitch: AutoDraft cuts legal contract review time by 80% using proprietary LLMs fine-tuned on case law.
Target Focus: Series A, B2B SaaS, LegalTech

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📊 Fast Facts

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🚀 The Problem & Solution

The Problem: Contract review is slow, manual, and expensive for legal teams, consuming billable hours that could be spent on higher-value work.
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The Solution: AutoDraft uses proprietary fine-tuned LLMs trained on case law to automate contract review, cutting review time by 80%.

• Business Model: B2B SaaS — sold to law firms and corporate legal departments.

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📈 Traction & Milestones

• $1.2M ARR, growing 15% MoM
• 85% gross margins
• 80% reduction in contract review time (core product claim)

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🥊 Market & Competition

Market Size (TAM/SAM/SOM): $27B TAM in legal tech; SAM/SOM not specified — recommend narrowing to contract-review/AI-legal-tools segment for precision.
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Competitive Advantage (Moat): Proprietary LLMs fine-tuned specifically on case law, versus generalist platforms.
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Key Competitors: LegalZoom (consumer-facing legal services, limited AI depth), Clio (practice management, not review-focused) — AutoDraft differentiates via specialized AI review depth.

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👥 Core Team

Jane Doe (Co-Founder): Former General Counsel at Google, bringing deep in-house legal and enterprise credibility.

• John Smith (Co-Founder): Stanford AI PhD, technical lead on the proprietary LLM architecture.

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💰 The Ask & Use of Funds

• Raising: $4M Series A
• Terms: $20M pre-money valuation
• Use of Funds:
  • ~60% - Hire 5 AI engineers to advance proprietary LLM capabilities
  • ~40% - Expand go-to-market and sales

Note: Use-of-funds split is estimated (60/40) based on the stated priorities — hiring 5 engineers and expanding sales — since exact percentages weren't provided in the input.