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Product Requirements Document: Contract Clarity Agent

Executive Summary

Product Name: Contract Clarity Agent
Version: 1.0 (Prototype)
Date: October 25, 2025
Owner: [Your Name]

Contract Clarity Agent is a conversational AI assistant that helps individuals and small businesses understand legal documents, contracts, policies, and agreements by providing plain-language summaries, risk assessments, and actionable guidance—without legal jargon.

Problem Statement

Current Pain Points

  1. Information Asymmetry: Individuals lack legal expertise to evaluate contracts they’re asked to sign (employment agreements, vendor contracts, leases, NDAs, SaaS terms)
  2. Cost Barrier: Legal review costs $300-500/hour, making it prohibitive for routine documents
  3. Complexity Overload: 50+ page compliance documents and dense legal language create decision paralysis
  4. Hidden Risks: Non-standard or unfavorable clauses (auto-renewal, broad IP assignment, liability caps) go unnoticed
  5. Lack of Context: Users don’t know what’s “normal” vs. concerning for their situation

User Impact

Goals & Success Metrics

Primary Goals

  1. Enable users to understand 90%+ of key contract provisions within 5 minutes
  2. Identify and flag high-risk or non-standard clauses with 85%+ accuracy
  3. Provide actionable next steps for ambiguous or concerning terms
  4. Deliver explanations at an 8th-grade reading level without losing accuracy

Success Metrics

Target Users

Primary Personas

1. Individual Contributors (Sarah, 28, Marketing Manager)

2. Small Business Owners (Raj, 42, SaaS Founder)

3. HR/Operations Managers (Maria, 35, Ops Lead)

Core Use Cases

UC1: Contract Risk Assessment

User Story: As an individual, I want to upload a vendor agreement and understand what risks or unfavorable terms it contains, so I can decide whether to sign or negotiate.

Flow:

  1. User uploads PDF/DOCX/image of contract
  2. System extracts and analyzes document
  3. System provides:
    • 3-5 sentence executive summary
    • Risk-tiered clause breakdown (High/Medium/Low concern)
    • Plain-language explanation of each flagged item
    • Suggestions for clarification or negotiation

Example Output:

🔴 HIGH CONCERN
Clause 7.3 (Liability Cap): You're limited to recovering only $500 in damages, 
even if their mistake costs you thousands. This is unusually low for a $10K annual contract.
→ Suggest: Ask them to raise the cap to at least the annual contract value.

🟡 MEDIUM CONCERN  
Clause 4.2 (Auto-Renewal): Contract automatically renews yearly unless you cancel 
60 days in advance. Missing the deadline means another full year.
→ Suggest: Set a calendar reminder for 75 days before renewal date.

UC2: Policy Translation

User Story: As an employee, I want to understand a 50-page compliance policy in plain English, so I know what actually applies to my daily work.

Flow:

  1. User uploads policy document
  2. User optionally specifies role/context (“I’m in engineering”)
  3. System provides:
    • Role-specific summary of relevant sections
    • Key do’s and don’ts in bullet points
    • Explanation of consequences for violations
    • Links to specific sections for reference

UC3: Clause Clarification

User Story: As a reader, I want to ask questions about specific confusing clauses, so I understand exactly what I’m agreeing to.

Flow:

  1. User asks: “What does ‘indemnification’ mean in Section 9?”
  2. System:
    • Locates relevant clause
    • Explains in plain language with real-world example
    • Notes if wording is ambiguous
    • Suggests clarifying questions to ask the other party

UC4: Comparative Analysis

User Story: As a business owner, I want to know if this contract’s terms are normal for my industry, so I can negotiate confidently.

Flow:

  1. User uploads contract and specifies context (industry, contract type)
  2. System provides:
    • Flags for terms that deviate from industry standards
    • Context on whether deviation is favorable/unfavorable
    • Data points: “Typical payment terms are Net-30; this requests Net-60”

Functional Requirements

FR1: Document Ingestion

FR2: Document Analysis

FR3: Summary Generation

FR4: Risk Flagging & Recommendations

FR5: Conversational Interface

FR6: Comparative Context (Future Enhancement)

Non-Functional Requirements

NFR1: Accuracy & Reliability

NFR2: Performance

NFR3: Security & Privacy

NFR4: Usability

NFR5: Scalability

Technical Architecture (High-Level)

Components

  1. Frontend: Web-based conversational UI - using Streamlit
    • File upload component (drag-and-drop)
    • Chat interface
    • Summary display with collapsible sections
  2. Document Processing Pipeline:
    • File parser (PDF/DOCX) - using Docling
    • OCR engine (for images) - pass to LLM as context (no special OCR tool needed)
    • Extract information from web links - using Firecrawl
    • Text extraction and structuring
  3. LLM Agent Core:
    • Microsoft Agent Framework for entire orchestration
    • GPT-4o-mini (hosted on Azure AI Foundry) for analysis and conversation
    • Prompt engineering for consistent output format
    • Tool use for document parsing
  4. Output Formatting:
    • Structured response templates
    • Risk visualization components
    • Citation linking

User Experience Flow

Happy Path

  1. Landing: User sees simple interface with upload area and example use cases
  2. Upload: User drags PDF or pastes document text/image
  3. Processing: “Analyzing your document…” (15-30s with progress indicator)
  4. Summary:
    • Executive summary at top
    • Risk flags below, organized by severity
    • Option to “Ask a question” at bottom
  5. Conversation: User asks follow-up questions; agent responds with context
  6. Action: User downloads summary or copies specific sections

Error Handling

Out of Scope (v1.0 Prototype)

Risk Assessment & Mitigation

Risk Likelihood Impact Mitigation
LLM hallucination of clauses Medium High Require citations; implement verification layer
Over-reliance without legal review High High Clear disclaimers; recommend attorney for high-stakes
Privacy concerns with sensitive docs Medium High Transparent data policy; transient processing
Inaccurate risk assessment Medium Medium User feedback loop; expert validation set
Poor OCR accuracy on scanned docs Medium Low Allow text paste fallback; improve preprocessing

Success Criteria for Prototype

Launch Readiness

User Validation

Legal & Compliance Considerations

Disclaimers Required

Ethical Considerations

Future Enhancements (Post-Prototype)

Phase 2

Phase 3

Phase 4

Appendix A: Example Risk Patterns

High Risk Indicators

Medium Risk Indicators

Green Flags

Appendix B: Plain Language Examples

Original: “Vendor shall indemnify, defend, and hold harmless Client from any claims arising from Vendor’s negligent acts or omissions.”

Plain Language: “If the vendor makes a mistake or doesn’t do something they should have, they’ll pay for any resulting lawsuits against you, including legal fees.”

Original: “This Agreement may be terminated by either party upon 30 days’ prior written notice.”

Plain Language: “Either side can end this contract by giving the other side written notice 30 days in advance.”

Appendix C: Conversation Examples

User: “I got a job offer. Can you review the contract?”
Agent: “I’d be happy to help! Please upload the offer letter or employment agreement, and I’ll analyze it for you.”

[After upload]

Agent: “I’ve reviewed your employment agreement. Here’s what stands out:

Summary: This is a standard at-will employment offer with a few notable provisions around IP and non-compete.

🔴 HIGH CONCERN IP Assignment (Section 5): You’re assigning ‘all inventions and creative works’ made during employment, even those created on your own time with your own resources. This is broader than typical.
→ Ask: Can we limit this to work related to the company’s business or created using company resources?

🟡 MEDIUM CONCERN
Non-Compete (Section 8): 12-month, 50-mile radius restriction after leaving. This is enforceable in [state] but may limit your next job.
→ Consider: Negotiating down to 6 months or narrowing the scope to direct competitors only.

🟢 Standard Terms
✓ Salary and benefits are clearly defined
✓ Standard at-will employment (either side can terminate)
✓ Reasonable confidentiality terms

Questions? I can explain any section in detail.”

User: “What exactly does ‘at-will’ mean?”
Agent: “‘At-will employment’ means either you or the company can end the employment relationship at any time, for any legal reason, without advance notice. Think of it like a month-to-month apartment lease—no long-term commitment required from either side. The company doesn’t need to give a reason to let you go, and you don’t need to give a reason to quit (though 2 weeks’ notice is professional courtesy).”

Document Revision History

Version Date Author Changes
1.0 Oct 25, 2025 [Your Name] Initial draft

Approval Sign-off

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