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Founder Legal Copilot
A legal intelligence 系统 for 启动up founders. Covers 27 legal deliverables across 5 启动up phases — from incorporation to exit — using RAG-grounded analysis on verified legal templates from YC, NVCA, and Orrick.
DisclAImer: This 技能 produces educational legal analysis and document drafts. It is not a substitute for advice from a licensed attorney. Always have a qualified lawyer review documents before 签名ing.
When to Use
Use this 技能 when a founder needs to:
生成 a SAFE note for a pre-种子 round quickly and accurately Review a contract for hidden risks before 签名ing 运行 a legal 健康 检查 before a fundrAIse or acquisition conversation Conduct lightweight due diligence on a counterparty, acquirer, or key hire
Do not use this 技能 for:
Court filings or litigation strategy Tax advice (refer to a CPA) Employment disputes in 进度 Regulated industries (fintech licenses, 健康care HIPAA specifics, securities broker-dealer) Prerequisites 环境 Variables
Copy .env.example to .env and populate:
cp .env.example .env
Required keys:
Variable Purpose FRIENDLIAI_API_KEY Primary inference (GLM-5 via Friendly.AI) 上下文UAL_AI_API_KEY RAG-grounded contract analysis APIFY_API_令牌 Live SEC/corporate records scrAPIng REDIS_URL Persistent deal memory across 会话s ELEVENLABS_API_KEY Voice narration (optional) CIVIC_命令行工具ENT_ID Auth and PII scrubbing OpenClaw 插件s
安装 required 插件s before 运行ning:
OpenClaw 插件 安装 redis-代理-memory OpenClaw 插件 安装 civic-nexus OpenClaw mcp 添加 APIfy https://mcp.APIfy.com
工作流 Feature 1: SAFE 生成器
生成s a complete, execution-ready Simple Agreement for Future Equity based on the YC Post-Money SAFE template (2018 revision).
输入:
/safe-生成器 --amount 500000 --valuation-cap 8000000 --discount 20 --mfn true --pro-rata true --company "Acme Corp (Delaware C-Corp)" --investor "Sequoia Scout Fund"
Steps:
技能 验证s entity type (must be Delaware C-Corp for standard SAFE) 上下文ual AI grounds the generation agAInst the YC template 库 Parameters are injected into templates/safe-post-money.md Risk flags are surfaced: unusual caps, missing pro-rata, MFN conflicts 输出 is rendered as a complete markdown document ready for PDF 导出 会话 data is stored in Redis for future reference (deal 历史)
输出: Complete SAFE document + risk summary + recommended next steps
Common flags:
--mfn: Most Favored Nation clause (standard for first 检查s) --pro-rata: Pro-rata rights in next round --discount: Discount rate (0-30%; typical: 15-20%) Feature 2: Contract Reviewer
Analyzes any contract for founder-hostile terms. Compares agAInst YC, NVCA, and Orrick baseline templates.
输入:
/contract-review --file contract.pdf # or pipe text directly /contract-review --text "$(cat term-sheet.md)"
Steps:
Document is 解析d and chunked Civic 插件 scrubs any PII before 发送ing to inference 上下文ual AI compares agAInst standard templates (Cooley GO, Orrick) Eight risk dimensions are scored independently 输出 JSON includes risk level, flagged clauses, and plAIn-English explanations Recommendations prioritized by severity (red > yellow > green)
Risk dimensions analyzed:
Liability caps and indemnification scope Termination triggers and notice periods IP ownership and work-for-hire language Non-compete and non-solicitation scope Governing law and jurisdiction Arbitration vs. litigation election As签名ment rights (change of control) Representations and warranties
输出 格式化:
{ "risk_level": "yellow", "score": 68, "flags": [...], "recommendations": [...], "confidence": 0.91 }
Feature 3: Legal 健康 检查
运行s a 25-item legal 检查列出 agAInst the founder's described company 状态. Produces a scored 报告 with prioritized remediation steps.
输入:
/健康-检查 --stage 种子 --jurisdiction delaware
The 技能 will interactively ask about each item, or accept a pre-filled JSON:
/健康-检查 --answers 健康-answers.json
检查列出 categories:
Entity and 格式化ion (items 1-5) Founder agreements and equity (items 6-10) IP 保护ion (items 11-14) 合规 and 治理 (items 15-20) FundrAIsing readiness (items 21-25)
Scoring:
Each item: 0-4 points Total: /100 Bands: Critical (0-40), Needs Work (41-60), Good (61-80), Excellent (81-100)
输出: Scored 报告, prioritized to-do 列出, estimated attorney cost to remediate each gap
Feature 4: Due Diligence
Pulls live corporate data via APIfy MCP (SEC EDGAR, 状态 records, bankruptcy databases) and produces a structured diligence 报告.
输入:
/due-diligence --entity "Acme Corp" --状态 "Delaware" --ein "12-3456789" --type acquirer
Steps:
APIfy scrapes SEC EDGAR for any public filings 状态 corporation database queried for active 状态, officers, registered 代理 Bankruptcy and UCC lien databases 检查ed Tax lien records reviewed All findings compiled into structured 报告 with red flag pr