法律合同條款風險審查|簡詩 AI

👤 公眾號:簡詩AI 📦 v1.0.2 ⭐ 4.7 ⬇️ 209 下載
💼 行業專業 免費

📖 技能介紹


name: contract-review-report slug: contract-review-report version: 1.0.2 displayName: "法律合同條款風險審查|簡詩 AI" summary: "系統分析合同條款,識別責任暴露、賠償陷阱、不利終止條款、智慧財產權轉讓過度和競業限制等風險,輸出含嚴重度評級的風險報告。" description: "系統分析合同條款,識別責任暴露、賠償陷阱、不利終止條款、智慧財產權轉讓過度和競業限制等風險,輸出含嚴重度評級的風險報告。" tags: ["business-operations", "jianshi-ai"]


Contract Review

Analyze legal contracts to identify parties, obligations, risk areas, and problematic clauses. This skill systematically examines contract language for liability exposure, indemnification traps, unfavorable termination terms, IP assignment overreach, and non-compete restrictions. The output is a structured risk report with severity ratings and actionable recommendations.

Workflow

  1. Receive and Parse Contract — Ingest the full contract text or relevant excerpts. Identify the contract type (SaaS agreement, employment, freelancer, NDA, MSA, etc.) and establish the reviewing party's perspective (which side of the agreement you represent). Extract metadata such as effective date, governing law, and term length.

  2. Identify Parties and Core Terms — Map all named parties, their roles, and the fundamental exchange of value. Extract key commercial terms including payment structure, deliverables, service levels, and performance metrics. Note any definitions section that modifies standard legal meanings.

  3. Flag High-Risk Clauses — Perform clause-by-clause analysis targeting liability caps (or lack thereof), indemnification scope and triggers, termination rights and cure periods, IP assignment breadth, non-compete and non-solicitation restrictions, confidentiality obligations, data handling requirements, and force majeure provisions. Assign each flagged clause a severity rating: Critical, High, Medium, or Low.

  4. Summarize Obligations — Produce a consolidated view of what each party must do, by when, and the consequences of non-performance. Highlight asymmetric obligations where one party bears disproportionate risk or burden.

  5. Generate Risk Report — Compile findings into a structured report with an executive summary, clause-by-clause risk table, overall risk score, and prioritized list of recommended modifications or negotiation points.

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  6. Suggest Modifications — For each Critical and High severity finding, draft alternative contract language that better balances risk. Provide brief rationale for why the modification is important and what risk it mitigates.

Usage

Provide the contract text and specify which party you represent. Optionally indicate areas of particular concern.

Example prompt:

Review this SaaS agreement from the customer's perspective. Flag any clauses that expose us to unlimited liability or allow the vendor to change terms unilaterally. Here is the contract: [paste contract text]

Examples

Example 1: SaaS Agreement Review

Input: A SaaS subscription agreement where the customer is subscribing to a project management tool. The customer is a 50-person company evaluating a 2-year enterprise commitment. Review from the customer's perspective.

Output:

Executive Summary: This agreement contains 2 Critical and 3 High severity issues that should be addressed before signing. The liability cap is absent for the vendor while the customer faces unlimited exposure, the IP assignment clause claims ownership of customer-created content, and termination requires 180-day notice with no cure period for the customer. Overall risk score: 7.2/10. We recommend negotiating all Critical items and at least the indemnification clause before execution.

Overall Risk Score: 7.2 / 10 (High — do not sign without modifications)

Clause Section Risk Severity Recommendation
Limitation of Liability §8.2 Vendor liability capped at fees paid in last 3 months; no cap on customer's liability Critical Add mutual liability cap at 12 months of fees
IP Assignment §5.1 "All materials created using the Service become Vendor's property" Critical Narrow to feedback/suggestions only; customer retains IP in their content
Auto-Renewal §3.4 Auto-renews for successive 2-year terms with 180-day cancellation notice High Reduce to 1-year renewal with 30-day notice
Indemnification §9.1 Customer indemnifies vendor for "any and all claims" including vendor negligence High Limit to claims arising from customer's breach or misuse
Data Handling §6.3 Vendor may use customer data for "service improvement and analytics" without anonymization requirement High Require anonymization/aggregation; add DPA reference

Example 2: Freelancer Contract Review

Input: A freelance development contract from the hiring company's template. The freelancer is a mobile app developer being engaged for a 3-month iOS project. Review from the freelancer's perspective.

Output:

Executive Summary: 1 Critical and 2 High severity issues identified. The non-compete clause is overly broad and likely unenforceable in most jurisdictions, the IP assignment has a dangerous gap tied to payment, and the payment terms heavily favor the hiring company. Overall risk score: 6.8/10.

Overall Risk Score: 6.8 / 10 (Moderate-High — negotiate before signing)

Red Flags: - Non-Compete (§7, Critical): Prohibits freelancer from working in "any related field" for 24 months globally. This is almost certainly unenforceable in most jurisdictions and signals aggressive posturing. Suggested modification: Narrow to direct competitors, 6-month duration, reasonable geographic scope. - IP Assignment (§4, High): Assigns IP only upon "final payment" but doesn't define what constitutes final payment in a milestone-based project. Gap risk: disputed milestone could leave IP ownership ambiguous. Suggested modification: Add that IP transfers per-milestone upon each milestone payment. - Payment Terms (§3, High): Net-90 payment with no late payment penalties. Suggested modification: Net-30 with 1.5% monthly late fee.

Best Practices

  • Always establish which party you represent before beginning analysis — risk assessment is perspective-dependent and a favorable clause for one party is a risk for the other.
  • Flag the absence of standard protective clauses (liability caps, data processing addendums, SLAs) as risks, not just problematic existing language. Missing protections are often more dangerous than bad language.
  • Consider governing law jurisdiction when assessing enforceability — a non-compete valid in Texas may be void in California, and UK consumer law may override B2B contract terms.
  • Compare indemnification obligations for symmetry; one-sided indemnification is a common and often successful negotiation point even in take-it-or-leave-it vendor agreements.
  • Note any "entire agreement" or "amendment" clauses that could override verbal promises or side agreements. Unilateral amendment rights (where the vendor can change terms by posting to a website) are a critical red flag.
  • Review defined terms carefully — a broad definition of "Confidential Information" or "Work Product" can dramatically expand obligations far beyond what the operative clauses appear to require on a casual reading.

Edge Cases

  • Contracts referencing external documents — Terms may incorporate SOWs, SLAs, acceptable use policies, or privacy policies by reference. Flag these as requiring separate review and note that the referenced documents may change unilaterally if the contract doesn't freeze a specific version.
  • Multi-jurisdictional agreements — When parties are in different countries, flag potential conflicts between governing law, data residency requirements, and local employment/contractor laws. EU consumer protection regulations may render certain limitation of liability clauses unenforceable regardless of the chosen governing law.
  • Unsigned or draft contracts — Clearly note that analysis is based on draft language and that final terms may differ. Track version numbers if available and compare against any prior versions to identify changes.
  • Contracts with arbitration clauses — Flag mandatory arbitration with class action waivers, especially in consumer or employment contexts where enforceability varies by jurisdiction. Note the arbitration forum (AAA, JAMS) and whether the cost allocation is fair.
  • Force majeure and pandemic language — Post-2020 contracts may have expanded force majeure definitions or explicitly include pandemics and government shutdowns. Assess whether they're symmetric and whether they excuse payment obligations or just performance obligations.

簡詩 AI 安全邊界

  • 不自動安裝依賴、修改系統許可權、建立持久化任務或執行下載內容。
  • 涉及傳送、釋出、刪除、付款、部署或其他外部寫入時,先展示目標與影響並取得使用者明確確認。
  • 憑據只用於使用者指定的對應官方服務,不回顯、不記錄,也不轉發到無關地址。
  • 命令和程式碼預設作為參考;只有使用者明確要求執行且目標範圍清楚時才可執行。

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🤖 AI 評測

這是一個非常專業的合同審查工具,文件詳盡、示例豐富,能有效識別合同中的關鍵風險條款並給出修改建議。安全性有保障,操作不會擅自執行危險操作。不過目前只能處理文本形式的合同,無法直接讀取PDF或圖片格式的檔案。總體質量優秀,適合需要審查合同的商務人士和法律小白使用。

📊 多維度評分

適應性4.4
規範性4.8
有效性5
可靠性4.4
可信度4.8

📁 包含檔案 (5 個)

📄 DERIVATIVE_NOTICE.md 486 B
📄 LICENSE.md 1 KB
📄 ORIGIN.json 1.2 KB
📄 SKILL.md 9.4 KB
📄 agents/openai.yaml 403 B