90-Day Plan: Product Manager at Genie AI
Building the GitHub of Legal Documents - From Day One to First Ship
Month 1
Foundation & Discovery
Learn, Map, Connect
Month 2
Contributing Impact
Test, Build, Measure
Month 3
Owning Outcomes
Ship, Scale, Lead
Pre-Start: Research & Preparation
- Legal Tech Landscape Audit: Study why 75% of law firms still use Word for contracts despite 100+ CLM solutions existing. What's the adoption barrier?
- Genie's Positioning: Analyse why Genie succeeded where LegalZoom plateaued - community vs. top-down content
- Network Activation: Connect with 5 in-house counsel from my Grant Thornton network to understand their template workflows
- Technical Prep: Set up GitHub, review Genie's public API documentation, understand integration possibilities
Month 1: Foundation & Discovery (Days 1-30)
Week 1-2: Deep Immersion & Rapid Learning
Understanding the Legal Workflow Reality
- Shadow 5 real contract negotiations end-to-end - from template selection to execution
- Map the "Microsoft Word to Genie" migration journey - what makes lawyers switch?
- Document every point where users currently leave Genie to use other tools
- Identify the "aha moment" - when do free users realize they need Pro? (Using my VISAID user journey mapping experience)
Competitive Reality Check
- DocuSign CLM: $30k/year - what do they offer that justifies 100x our price?
- Juro: Raised $23M focusing on "contract collaboration" - how does our collaboration differ?
- Ironclad: Jason Boehmig's lawyer-to-founder story - what did he see that we can learn from?
- ContractPodAi: Pivoted from SMB to enterprise - why? What can we learn?
Week 2 Deliverable: "State of Legal Tech" presentation with 3 specific opportunities for Genie to exploit competitor weaknesses. Include pricing strategy recommendations based on my Private Equity fund analysis experience - understanding value perception at different price points.
Week 3-4: User Research Infrastructure
Building Continuous Discovery Engine
- Implement weekly user interview pipeline using Calendly + Zoom + Dovetail/Grain for synthesis
- Create segmentation based on legal sophistication: "Never used a lawyer" → "In-house counsel"
- Design behavioral cohort analysis: What do successful Pro users do in their first 7 days?
- Set up Mixpanel/Amplitude funnels for: Template Creation → Share → Collaborate → Convert
The Trust Problem in Legal Tech
- Interview 10 users who churned - specifically ask: "What made you nervous about using Genie for real contracts?"
- Research how Uber overcame the "getting in stranger's car" problem - apply to legal document trust
- Study how my UN project built trust with 200+ NGOs - documentation, transparency, peer validation
Week 4 Deliverable: User Research Playbook with interview scripts, synthesis framework, and first 15 user interviews completed. Present findings on the "Trust Gap" in legal tech adoption.
Month 1 Success Metrics:
- ✓ Complete 20+ user interviews across 4 segments
- ✓ Map 100% of competitor features with adoption rates
- ✓ Identify top 3 reasons for churn with quantified impact
- ✓ Establish baseline: Current free → Pro conversion rate, 30-day retention, template usage
Month 2: Contributing Impact (Days 31-60)
Week 5-6: Pro Plan Conversion Optimization Sprint
The Conversion Problem - Hypothesis-Driven Approach
- Hypothesis 1: Users don't understand Pro value until they need it (too late)
- Solution: Smart nudges at "peak frustration" moments - when they hit free tier limits
- Test: A/B test showing "what you could do with Pro" at limitation points
Experiments to Launch:
- Template Marketplace Preview: Show Pro templates but require upgrade to use (like my Reddit analyser's freemium model)
- Collaboration Limit: Free users can receive unlimited invites but can only send 3/month
- AI Assistant Teaser: Show AI suggestions in grey with "Unlock with Pro" prompt
- Success Story Pipeline: Email series showing how similar companies use Pro features
Target: Increase free → Pro conversion from baseline by 25% through systematic testing
Week 7-8: Community Platform Architecture
Building Network Effects - The GitHub Model
- Public Contract Portfolios: Let lawyers/companies showcase their templates publicly
- Fork & Improve Model: Track template genealogy - who improved whose contract
- Reputation System: "Verified Legal Professional" badges, contribution scores
- Community Moderation: Implement my Reddit analyser's moderation approach for quality control
The Viral Loop Design:
- User creates contract from template → 2. Shares with counterparty → 3. Counterparty signs up to negotiate → 4. Counterparty becomes user → 5. Creates their own contracts
Week 8 Deliverable: PRD for "Genie Commons" - public template library with forking, versioning, and attribution. Include mockups using Figma based on my LSE design projects.
Month 2 Success Metrics:
- ✓ Launch 3 conversion experiments with statistical significance
- ✓ Achieve 15% improvement in one key activation metric
- ✓ Ship one community feature to 10% of users
- ✓ Generate 50+ template contributions from beta users
Month 3: Owning Outcomes (Days 61-90)
Week 9-10: AI Integration for Competitive Advantage
The AI Opportunity in Legal
- Plain English Translator: Every clause explained like you're five (tested with non-lawyers)
- Risk Scorer: ML model trained on litigation data to flag dangerous clauses
- Negotiation Assistant: Suggests compromises based on 100,000+ successful negotiations
- Auto-Customization: Adapts templates based on jurisdiction, company size, industry
Implementation Plan (based on my LSE AI coursework):
- Week 9: Define training data requirements with legal team
- Week 9: Build prototype using GPT-4 API for clause explanation
- Week 10: User testing with 20 SME owners who've never used lawyers
- Week 10: Iterate based on feedback, prepare for Pro-only launch
Target: 40% of Pro users activate AI features within first week of availability
Week 11-12: Scale & Strategic Initiatives
The SME Revolution - Making Legal Accessible
- Startup Programme: Free Pro for companies under £1M revenue (like GitHub's student pack)
- Accelerator Partnerships: Embed Genie in YC, Techstars, Entrepreneur First onboarding
- Education Content: "Legal Basics" course - 5 videos every founder should watch
- Template Marketplace: Revenue share with lawyers who contribute templates (30/70 split)
Building the Flywheel:
More users → Better templates → Higher trust → More sharing → More users
Week 12 Deliverable: Q2 Roadmap presentation to board with 3 big bets:
- International expansion (leverage my Irish market knowledge)
- Enterprise tier with workflow automation
- Template marketplace monetization model
Month 3 Success Metrics:
- ✓ Own one company OKR completely
- ✓ Increase Pro Plan MRR by 20%
- ✓ Ship AI feature with >30% adoption
- ✓ Secure 3 accelerator partnerships
- ✓ Have Q2 roadmap approved with resources allocated
Risk Management & Contingencies
Key Risks & Mitigation Strategies
1. Legal Accuracy Concerns
- Risk: One bad template could destroy trust overnight
- Mitigation: Implement "confidence scores" and mandatory legal review for high-stakes documents
- My experience: At Bank of Ireland, one missed risk pattern affected hundreds of mortgages - quality control is non-negotiable
2. AI Hallucination in Legal Context
- Risk: AI invents legal precedents or clauses
- Mitigation: Constrain AI to only reference verified legal database, no generation without human review
- My approach: Similar to my Reddit analyser's 92% accuracy - better to be conservative than wrong
3. Platform Quality Degradation
- Risk: Bad actors upload malicious templates
- Mitigation: Reputation system + automated quality checks + community flagging
- Learning from UN project: Community moderation works when incentives align
Personal Development Commitments
- Week 1-2: Complete "Legal Design" course by Stanford Law
- Week 3-4: Shadow customer success calls, understand pain points firsthand
- Month 2: Lead one feature from conception to production independently
- Month 3: Present to potential investors on growth strategy
- Ongoing: Weekly user interviews (minimum 3) - never lose touch with users
The Vision: Why This Matters
The legal industry is a £750bn market where 80% of people can't afford legal services.
DocuSign made signing easier but didn't solve the core problem: creating good contracts is still expensive and scary.
Genie isn't just digitising legal documents - we're democratising legal knowledge itself. My experience at Grant Thornton and Bank of Ireland showed me how broken the current system is. My work at LSE and the UN showed me how technology can fix it.
The opportunity is massive: If we can make legal documents as easy to create and share as GitHub made code, we don't just build a unicorn - we fundamentally change how business gets done. Every startup incorporation, every employment contract, every NDA becomes an opportunity to grow the network.
This 90-day plan isn't just about shipping features. It's about proving that legal documents can be accessible, collaborative, and even enjoyable to work with. That's the kind of challenge worth solving.
Prepared by: Naoise Law
Ready to transform legal tech from a necessary evil into a competitive advantage