Overview
You're selling Spellbookāan AI-powered Word plugin that helps lawyers review and draft contracts fasterāto in-house legal teams at mid-market companies. Your buyers are General Counsels, Legal Ops Managers, and Senior Counsel at companies with 2-10 person legal teams. You're doing full-cycle sales: prospecting, demoing, negotiating, and closing.
Role Snapshot
| Aspect | Details |
|---|---|
| Role Type | Full-cycle AE |
| Sales Motion | Outbound-heavy with some inbound |
| Deal Complexity | Consultative |
| Sales Cycle | 4-8 weeks |
| Deal Size | $10-30K ACV |
| Quota (est.) | $40-60K/month (~$500-700K/year) |
Company Context
Stage: Series A/B stage (161 employees, hiring aggressively)
Size: 161 employees
Growth: Actively scaling commercial sales team across multiple geos (Canada, UK)
Market Position: Early mover in legal AI space, competing in a rapidly crowding market as AI tools proliferate
GTM Reality
Pipeline Sources:
- 30% Inbound - Lawyers who've heard about AI legal tools through LinkedIn/legal tech news, some product-led signups from website
- 60% Outbound - Cold outreach to GCs and legal ops at mid-market companies via email, LinkedIn, and occasional cold calling
- 10% Referrals - Word of mouth from existing customers, some law firm connections
SDR/AE Structure: Self-sourcing on this team - you're doing your own prospecting and closing
SE Support: No dedicated SE - you're running your own demos and technical discussions
Competitive Landscape
Main Competitors: Harvey AI (higher end), LawGeex (contract review focused), Legal Robot, plus new AI legal tools launching monthly
How They Differentiate: Lives in Word (where lawyers already work), tuned for commercial contracts specifically, uses latest models (GPT-5/Opus)
Common Objections: "AI isn't accurate enough for legal work", "Our lawyers won't adopt new tools", "We already use [competitor]", "Too expensive for our budget", "Security/confidentiality concerns"
Win Themes: Time savings (10x faster review claim), ease of use (Word integration), specific to commercial law (not generic), trusted by other legal teams
What You'll Actually Do
Time Breakdown
Prospecting (40%) | Active Deals (35%) | Demos & Follow-up (25%)
Key Activities
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Prospecting into legal teams: You're building lists of mid-market companies (500-2000 employees) and finding their General Counsel or Legal Ops leads on LinkedIn. You're sending 30-40 personalized emails per day and doing LinkedIn outreach. Response rates are low (2-3%) because lawyers are busy and skeptical of sales pitches.
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Running product demos: You're demoing the Word plugin over Zoom, showing how it redlines contracts and answers legal questions. Demos are 30-45 minutes. You need to know enough about contract law to speak credibly (you'll learn common clauses quickly). Most demos go well but converting to deals is the challenge.
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Navigating procurement and security reviews: Even small legal teams need IT and security sign-off for AI tools that touch contracts. You're answering security questionnaires, coordinating with their IT, and waiting on information security reviews that slow deals down.
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Multi-threading small buying committees: You're selling to the GC but need buy-in from 2-3 senior lawyers who'll actually use it daily. You're scheduling group demos, handling individual objections about AI accuracy, and managing lawyers who are protective of their work and skeptical of automation.
The Honest Reality
What's Hard
- Lawyers are conservative buyers and many are skeptical that AI is accurate enough for legal work. You'll hear "I need to review every word anyway, so what's the point?" a lot. Converting interest to willingness-to-buy takes patience.
- Deals slip constantly because legal teams are reactiveātheir own workload trumps evaluating new tools. Your champion disappears for 2 weeks because they're drowning in a merger. You're constantly re-engaging stalled deals.
- You're competing against doing nothing. Most legal teams just accept that contract review is slow. They don't have budget allocated for efficiency tools. You're creating urgency where there often isn't any.
- The SMB legal market is price-sensitive. You're negotiating hard on price with teams that have tight budgets and see software as a cost, not an investment.
What Success Looks Like
- You're closing 6-8 new deals per quarter at $15-25K ACV average
- You maintain a 3:1 pipeline coverage ratio and keep 20-25 active opportunities moving
- Your demo-to-close rate is around 20-25% (most demos don't close but they're essential)
- You're good at creating urgency around contract bottlenecks and getting lawyers to admit they need help
Who You're Selling To
Primary Buyers:
- General Counsel at mid-market companies (500-2000 employees)
- Legal Operations Managers or Senior Counsel with budget authority
What They Care About:
- Time savings: Can their small team handle more contract volume without hiring?
- Accuracy: Will this actually reduce errors or create more work checking AI outputs?
- Adoption: Will their lawyers actually use this or resist it?
- Security: Can they trust confidential contracts to an AI tool? What's the data policy?
- Cost: Does the time savings justify the per-seat cost?
Requirements
- 3+ years of SaaS closing experience (preferably SMB or mid-market)
- Comfortable doing full-cycle sales: prospecting, demoing, negotiating, closing
- Quick learner who can understand legal workflows and speak credibly to lawyers
- Process-driven: You track activities, follow up consistently, and manage a pipeline without things falling through cracks
- Comfortable with rejection and long periods of prospect silence (lawyers are terrible at responding)
- Curious about AI and able to explain technical concepts simply
- Self-motivated: You're managing your own pipeline without an SDR feeding you leads