Framework for demonstrating AI capabilities in legal contexts. Provides detailed personas across tenant law, business contracts, startup disputes, employment claims, and consumer protection with progressive complexity scenarios. Use when: (1) Demonstrating AI-powered legal triage or intake systems, (2) Showcasing responsible AI-assisted client interactions, (3) Training staff on appropriate AI use in legal contexts, (4) Creating realistic scenarios for legal tech presentations, (5) Developing educational materials about AI in legal services, or (6) Testing AI-powered legal information systems in controlled environments.
lawvable268 スター2026/02/12
職業
カテゴリ
不動産・法務
スキル内容
Overview
Realistic simulation framework for demonstrating how AI can assist with legal information needs while respecting professional boundaries and data protection principles. Provides detailed personas across multiple legal contexts (tenant law, business law, startups, employment, consumer protection) with progressive complexity scenarios for showcasing AI-assisted legal triage, information gathering, and appropriate escalation to qualified attorneys.
CRITICAL LEGAL DISCLAIMER
THIS SKILL IS FOR DEMONSTRATION AND EDUCATIONAL PURPOSES ONLY. IT DOES NOT PROVIDE LEGAL ADVICE.
IMPORTANT - READ CAREFULLY:
This skill simulates interactions to demonstrate AI capabilities in legal contexts
Outputs are fictional scenarios for demonstration, training, or educational purposes only
This skill does NOT create attorney-client relationships
This skill does NOT provide legal advice, opinions, or recommendations on actual legal matters
This skill does NOT substitute for consultation with qualified, licensed attorneys
Legal rights, obligations, and remedies vary significantly by jurisdiction
関連 Skill
Only licensed attorneys can provide legal advice for specific situations
Reliance on simulated scenarios for actual legal decisions may result in serious harm
Users must:
Consult qualified, licensed attorneys for all actual legal matters
Never use simulated content as legal advice for real situations
Understand that AI cannot replace professional legal judgment
Recognize that laws vary by jurisdiction and change over time
Seek appropriate legal representation before taking any legal action
Verify all legal information independently with qualified counsel
Neither the skill creator nor Claude/Anthropic:
Provides legal advice or creates attorney-client relationships
Makes any representation about legal rights or obligations
Assumes any liability for reliance on simulated scenarios
Endorses any specific legal positions or strategies
Data Protection Notice: While this skill demonstrates GDPR-compliant interaction patterns, users collecting actual personal data must implement proper data protection measures under applicable law and consult with qualified privacy/data protection counsel.
When to Use This Skill
Use this skill when you need to:
Demonstrate AI capabilities in legal information contexts (presentations, training, proof-of-concepts)
Showcase responsible AI-assisted legal triage and intake processes
Illustrate GDPR-compliant client interaction patterns for legal services
Create realistic scenarios for legal technology demonstrations
Train staff on appropriate AI use in legal contexts
Develop educational materials about AI in legal services
Test AI-powered legal information systems in controlled environments
NOT for: Actual legal consultations, providing legal advice, or replacing qualified legal professionals
Core Capabilities
1. Five Detailed Personas with Legal Contexts
Persona 1: Residential Tenant (Entry-Level Complexity)
Background
Name: Sarah Weber
Age: 28
Occupation: Marketing coordinator
Location: Urban apartment, 2-year lease
Situation: Landlord refusing to return security deposit after move-out despite clean inspection
Legal Context
Residential tenancy law (jurisdiction-dependent)
Security deposit regulations
Landlord-tenant dispute resolution
Small claims court procedures
Complexity Level: Low
Clear legal framework with consumer protections
Standardized dispute resolution processes
Often resolved without litigation
Strong tenant protection laws in many jurisdictions
Demonstration Scenarios
Information gathering on security deposit rights
Template demand letter preparation
Small claims court process explanation
Timeline and procedural guidance
Evidence collection recommendations
AI Value Demonstration: Rapid information access, document template generation, procedure explanation, appropriate attorney referral
Persona 2: Small Business Owner (Medium Complexity)
Background
Name: Marcus Chen
Age: 35
Business: Independent café/bakery
Employees: 5
Situation: Supplier breach of contract (late deliveries causing inventory shortages and lost revenue)
Legal Context
Commercial contract law
Breach of contract remedies
Business damages calculation
Supplier relationship management
Complexity Level: Medium
Commercial law frameworks apply
Negotiation often preferred over litigation
Damages calculation requires business analysis
Relationship preservation considerations
Demonstration Scenarios
Contract review and breach analysis
Damages calculation frameworks
Negotiation strategy development
Breach notification letter drafting
Alternative dispute resolution options
AI Value Demonstration: Contract analysis, damages estimation, negotiation guidance, escalation path mapping
Persona 3: Startup Founder (High Complexity)
Background
Name: Lisa Kowalski
Age: 31
Company: SaaS startup (15 employees, Series A funding)
Situation: Co-founder equity dispute and potential IP ownership conflict
Legal Context
Corporate governance
Shareholder agreements
Intellectual property ownership
Equity and vesting disputes
Fiduciary duties
Complexity Level: High
Complex corporate and IP law intersection
Significant financial stakes
Multiple legal specializations required
Investor and board considerations
Demonstration Scenarios
Corporate governance structure review
Equity vesting and acceleration analysis
IP assignment agreement evaluation
Negotiation frameworks for founder disputes
Mediation vs. litigation analysis
AI Value Demonstration: Multi-jurisdictional analysis, stakeholder impact assessment, resolution option comparison, specialist attorney matching
Persona 4: HR Manager (Medium-High Complexity)
Background
Name: Thomas Bauer
Age: 42
Company: Mid-sized manufacturing company (250 employees)
Situation: Employee claiming wrongful termination and discrimination
Legal Context
Employment law
Discrimination and harassment law
Wrongful termination claims
Litigation risk assessment
Settlement negotiations
Complexity Level: Medium-High
Heavily regulated area with significant penalties
Evidence gathering and documentation critical
Reputational risk alongside legal risk
Insurance and settlement considerations
Demonstration Scenarios
Employment law compliance review
Termination documentation analysis
Discrimination claim risk assessment
Settlement framework development
Litigation cost-benefit analysis
AI Value Demonstration: Compliance gap analysis, risk scoring, documentation review, settlement range estimation, employment law specialist referral
Persona 5: Consumer with Defective Product (Entry-Medium Complexity)
Strong consumer protection frameworks in many jurisdictions
Clear statutory rights in EU (2-year guarantee)
Regulatory authorities available for complaints
Usually resolved through administrative channels
Demonstration Scenarios
Consumer rights information (legal guarantee vs. commercial warranty)
Liability allocation (manufacturer vs. retailer)
Regulatory complaint procedures
Escalation strategies
Evidence preservation guidance
AI Value Demonstration: Consumer rights explanation, multi-party liability analysis, regulatory pathway guidance, evidence collection
Enhanced Feature: Persona variation generator - creates modified versions of each persona with different complicating factors (cross-border elements, time limitations, concurrent legal issues, varying jurisdictional frameworks).
2. GDPR-Compliant Interaction Pattern
Demonstrates responsible data handling in legal contexts:
Initial Intake (Minimal Data Collection)
Collect only information necessary to understand legal issue
Explain purpose of data collection clearly
Avoid collecting sensitive data (race, health, political opinions) unless absolutely essential
Use anonymization where possible (e.g., "Client A" instead of names in examples)
Data Minimization Demonstration
AI asks only relevant questions, skipping unnecessary personal details
Redaction of identifying information in document analysis
Compartmentalization of sensitive information
Time-limited data retention simulation
Transparency and Consent
Clear explanation of how information will be used
Explicit consent for data processing
Rights explanation (access, correction, deletion, portability)
Easy withdrawal mechanisms
Security and Confidentiality
Discussion of encryption and secure transmission
Access controls for sensitive information
Breach notification procedures
Professional confidentiality obligations
Enhanced Feature: GDPR compliance checklist generator - creates data protection impact assessment frameworks for legal service AI implementations, identifying risks and mitigation measures.
3. Progressive Complexity Scenarios
Each persona includes 3-5 scenarios that increase in complexity:
Level 1: Information Provision
AI provides factual legal information
Explains general legal principles and procedures
Identifies potentially applicable laws and regulations
Clarifies terminology and concepts
No legal advice provided, purely informational
Level 2: Document Analysis
AI reviews contracts, leases, or other legal documents
Identifies key provisions and potential issues
Flags concerning clauses or omissions
Suggests questions to ask attorney
Analysis only, not legal advice on what to do
Level 3: Options Exploration
AI presents multiple legal pathways (negotiation, mediation, litigation)
Explains pros/cons of each approach
Identifies typical timelines and costs
Discusses risk factors for each option
Decision-making remains with user and their attorney
Level 4: Strategy Frameworks
AI helps organize evidence and documentation
Develops negotiation position frameworks
Creates timeline and procedural roadmaps
Generates discussion points for attorney consultation
Frameworks only, implementation requires attorney
Level 5: Attorney Matching and Referral
AI identifies type of legal specialist needed
Explains what to look for in attorney selection
Suggests questions to ask during initial consultation
Discusses fee structures and engagement models
Clear transition to human professional required
Enhanced Feature: Complexity escalation triggers - automatic detection of when AI simulation should escalate to attorney referral based on factors like monetary value, legal complexity, time sensitivity, or jurisdictional uncertainty.
4. Demonstration Use Case Templates
Presentation/Demo Format
"Let me show you how AI can assist someone facing [legal issue]. I'll demonstrate the interaction pattern, information gathering, and appropriate boundaries..."
Training Format
"This scenario illustrates best practices for AI-assisted legal triage. Notice how the AI [specific behavior]. This demonstrates [key principle]..."
Educational Format
"Legal AI systems must balance accessibility with professional boundaries. This example shows how to [demonstrate concept] while ensuring [compliance/ethical requirement]..."
Proof-of-Concept Format
"Our AI system handles this [persona scenario] by [capability demonstration]. The value proposition includes [time savings/cost reduction/accessibility improvement] while maintaining [quality/compliance/ethics]..."
Enhanced Feature: Presentation builder - automatically generates slide decks, demonstration scripts, and talking points for showcasing AI legal assistance capabilities to different audiences (legal professionals, business stakeholders, technology teams, regulatory authorities).
5. Appropriate Escalation Frameworks
Demonstrates when and how to transition from AI assistance to human professionals:
Automatic Escalation Triggers
High monetary value (e.g., >€10,000 at stake)
Criminal law matters
Complex litigation strategy
Time-sensitive filing deadlines
Jurisdictional uncertainty
Conflicting legal authority
Novel legal questions
Ethical dilemmas
Warning Sign Detection
Statute of limitations concerns
Evidence spoliation risks
Adverse party represented by counsel
Regulatory investigation
Multiple legal domains intersecting
Client unable to articulate facts clearly
Emotional distress affecting judgment
Attorney Referral Best Practices
Identify practice area specialization needed
Explain initial consultation process
Discuss fee structures and engagement letters
Prepare documentation for attorney review
Set realistic expectations for legal process
Emphasize importance of timely action
Enhanced Feature: Attorney matching criteria generator - creates detailed specialist profiles for different legal issues, including practice area, experience level, jurisdictional licensing, language capabilities, and industry knowledge requirements.
6. Multi-Jurisdictional Awareness
Demonstrates handling of jurisdictional complexity:
Jurisdiction Identification
Ask location/jurisdiction early in interaction
Explain why jurisdiction matters
Flag cross-border or multi-jurisdictional issues
Identify applicable legal systems (common law vs. civil law)
Jurisdictional Limitations
Clearly state when AI cannot provide jurisdiction-specific information
Recommend local attorney consultation for jurisdiction-specific questions
Avoid overgeneralizing from one jurisdiction to another
Flag when US/UK law principles don't apply to EU/other jurisdictions
Employment law frameworks (works councils, termination protections)
Data protection (GDPR) compliance requirements
Alternative dispute resolution (ODR platform for consumer disputes)
Enhanced Feature: Jurisdictional conflict identifier - detects when legal issue involves multiple jurisdictions and explains choice of law and forum selection considerations.
7. Ethical Boundary Demonstration
Shows how AI maintains ethical boundaries in legal contexts:
Unauthorized Practice of Law (UPL) Avoidance
Never characterizes AI output as "legal advice"
Always recommends attorney consultation for decisions
Avoids predicting case outcomes
Doesn't interpret statutes or case law for specific situations
Frames all output as general information only
Confidentiality Considerations
Discusses attorney-client privilege and its limitations
Explains why AI interactions may not be privileged
Recommends secure communication channels
Warns about disclosure risks in online interactions
Conflict of Interest Awareness
Explains why AI cannot represent both parties in dispute
Identifies potential conflicts in multi-party situations
Recommends separate representation where appropriate
Competence and Diligence
AI clearly states its limitations and uncertainty
Recommends verification of all information with attorney
Flags when issues exceed AI's capabilities
Emphasizes importance of current, jurisdiction-specific legal research
Enhanced Feature: Ethical boundary checker - analyzes AI responses to ensure they don't cross into legal advice, maintain appropriate disclaimers, and clearly distinguish information from recommendations.
Best Practices for Demonstrations
Set Context Clearly: Always explain that scenarios are simulations for demonstration purposes only
Emphasize Boundaries: Repeatedly clarify the distinction between legal information and legal advice
Show the Transition: Demonstrate smooth handoff from AI to human attorney at appropriate points
Highlight Value Add: Focus on time savings, accessibility, cost reduction, and process improvement
Address Concerns: Proactively discuss limitations, risks, and mitigation strategies
Use Realistic Details: Scenarios should be plausible and relatable while avoiding actual client information
Vary Complexity: Demonstrate AI capabilities across simple to complex scenarios
Show Data Protection: Explicitly model GDPR-compliant information handling
Explain the "Why": Articulate reasoning behind AI responses and escalation decisions
Invite Questions: Encourage audience engagement and address concerns transparently
Enhanced Feature: Demonstration quality assessment rubric - evaluates whether simulated interactions appropriately balance accessibility with professional boundaries, maintain ethical guardrails, and demonstrate clear value proposition.
Limitations and Disclaimers
This skill does NOT:
Provide legal advice for actual legal situations
Create attorney-client relationships or professional obligations
Replace consultation with qualified, licensed attorneys
Account for jurisdiction-specific laws, regulations, or procedures
Interpret statutes, case law, or regulations for specific cases
Predict legal outcomes or litigation results
Fulfill any legal compliance obligations
Constitute authorized practice of law in any jurisdiction
Users must:
Use simulations for demonstration and educational purposes only
Never rely on simulated scenarios for actual legal decisions
Consult qualified attorneys for all real legal matters
Verify all legal information with licensed professionals
Understand that laws vary by jurisdiction and change frequently
Recognize that AI cannot exercise legal judgment
Obtain appropriate legal representation before taking legal action
Implement proper data protection measures for actual client data
Professional Responsibility: Legal professionals using this skill for demonstrations must comply with their applicable rules of professional conduct regarding advertising, client communications, unauthorized practice of law, and technology competence requirements.
Data Protection: While this skill models GDPR-compliant patterns, actual implementation of legal AI systems requires comprehensive data protection impact assessments, security measures, and compliance with applicable privacy laws. Consult qualified data protection officers and privacy counsel.
Regulatory Variation: Legal service delivery regulations vary significantly by jurisdiction. Some jurisdictions prohibit or heavily regulate non-lawyer involvement in legal services. Always verify compliance with applicable regulations before implementing AI-assisted legal services.
Example Use Cases
Law Firm Innovation Team: Demonstrating AI-powered client intake and triage system to partners
Legal Tech Startup: Showcasing product capabilities to potential investors or customers
Corporate Legal Department: Training non-lawyer staff on appropriate AI use for legal questions
Legal Education: Teaching law students about AI in legal practice and professional boundaries
Access to Justice Initiative: Demonstrating how AI can improve legal information accessibility
Regulatory Presentation: Showing compliance-focused AI implementation to bar association or regulatory authority
Scenario Customization Guide
To adapt personas for specific demonstration needs:
Industry Customization
Modify business contexts (tech, manufacturing, retail, etc.)
Adjust legal issues to industry-specific concerns
Include industry-specific regulations where relevant
Jurisdictional Customization
Specify applicable jurisdiction clearly
Reference jurisdiction-specific laws and procedures
Flag cross-border elements if demonstrating international capability
Complexity Customization
Add complicating factors for more sophisticated audiences
Simplify scenarios for general public demonstrations
Layer multiple legal issues for comprehensive demos
Audience Customization
Legal professionals: Emphasize technical accuracy and boundary management
Business stakeholders: Focus on efficiency and cost savings
Technology teams: Highlight integration and system capabilities
Regulators: Demonstrate compliance and consumer protection
FINAL REMINDER: This skill creates fictional scenarios for demonstration purposes only. It does NOT provide legal advice, create attorney-client relationships, or substitute for qualified legal counsel. All legal matters require consultation with licensed attorneys. Neither the skill creator nor Claude/Anthropic assumes any liability for reliance on simulated scenarios for actual legal decisions.
For Actual Legal Matters: Consult qualified, licensed attorneys in your jurisdiction. Do not use simulated scenarios as the basis for legal action or decisions. Legal rights and obligations vary significantly by jurisdiction and individual circumstances.