Investor FAQ — Seed Round
Frequently Asked Questions
Direct answers to the questions serious investors ask about Lawra's seed round. For headline terms, see the Investors page. For the full pitch, see the pitch deck. For commitment-stage diligence, contact us directly.
Seed Round · Open through Q3 2026
Pre-revenue · 1,950+ pages live · 50-tool product catalog operational · Public launch May 16, 2026
Pre-money
$6,000,000
SAFE with post-money cap
Round size
$1,000,000
Rolling close · 6–10 signers target
Min ticket
$25,000
No floor for strategic angels
Instrument
SAFE
YC standard, post-money cap
Use of funds
Product 25% · GTM 25% · Ops 20% · Compliance 15% · Infra 10% · Reserve 5%
Revenue
Premium $149/mo · Complete pkg $499 · Consulting + AI Suite enterprise tiers
Practice-area coverage
10 areas · commercial · corporate · litigation deep · employment · IP · privacy · regulatory · AI governance growing · family · tax on roadmap
This FAQ is for investors evaluating a SAFE in the current round. Tickets start at $25,000. Lead/co-lead positions ($250,000+) receive additional engagement.
How much is Lawra raising and at what valuation?
We are raising $1,000,000 at a $6,000,000 pre-money valuation ($7M post-money). The instrument is a SAFE (Simple Agreement for Future Equity) with a $6M valuation cap and 20% discount to the next priced round (Series A).
What is a SAFE and why are you using it?
A SAFE is a 4-page YC-template contract: the investor wires capital now, and the SAFE automatically converts to equity at the next priced round (Series A). It avoids the legal complexity, cost, and timeline of priced equity. For a round with multiple angel-sized tickets, it lets each investor close independently in under 72 hours, with zero legal cost per investor on either side. Net economic effect to the investor is identical to priced equity at the $6M cap.
What is the minimum ticket?
$25,000 is the minimum. Tiers above: $50K (standard angel), $100K (lead participant), $250K (co-lead, with information rights and optional observer seat), $500K+ (lead investor, with information rights, observer seat, name placement on the Investors page).
When does the round close?
We close on a rolling basis as investors commit, via individual SAFE signings. The full $1M target close is Q3 2026 (90 days after the May 16, 2026 public launch). Earlier investors get the $6M cap; we hold the cap at $6M for the first close window, then evaluate per traction.
When does the SAFE convert?
At the next priced equity round (Series A), expected in 18–24 months. The SAFE converts at the better of (a) the Series A price per share × 0.80 (20% discount), or (b) the price implied by the $6M valuation cap. The cap protects the investor on the upside; the discount protects on the downside.
Can you show how SAFE conversion math works?
Scenario A — Series A at $50M post-money (good Series A): The Series A price per share is much higher than the cap-implied price. The SAFE converts at the cap price, giving the investor more shares than a Series A investor at the same dollar amount. A $25K SAFE → ~0.42% of post-A company. If the post-A valuation is $50M, that's ~$210K — roughly 8.4× the original investment.
Scenario B — Series A at $20M post-money (modest Series A): Still above the cap. SAFE converts at the cap. A $25K SAFE → ~0.42% × $20M = ~$84K (3.36×).
Scenario C — Series A at $5M post-money (down round): The 20% discount binds instead of the cap. The investor is protected from the worst of the downside but doesn't get the cap upside.
Scenario B — Series A at $20M post-money (modest Series A): Still above the cap. SAFE converts at the cap. A $25K SAFE → ~0.42% × $20M = ~$84K (3.36×).
Scenario C — Series A at $5M post-money (down round): The 20% discount binds instead of the cap. The investor is protected from the worst of the downside but doesn't get the cap upside.
Why $6M pre-money — what's the comparable basis?
Pre-revenue, pre-launch legal-AI seed rounds in 2026 typically range $4M–$15M pre-money. Lawra anchors to the built + multilingual + multi-line + multi-founder end of that range, discounted for zero traction. Comparables: Spellbook seed at ~$10M post-money with live product + small base; Legora seed at ~$25M post-money with prototype + Sequoia lead; Mike emerging at ~$15–20M post-money typical for late-2025 / 2026 seeds. Harvey's own seed (2023) was ~$10M post — three years and $11B later, that round produced 1000× returns.
Why is the valuation lower than typical seed rounds despite the built product?
Two reasons. First, we have zero customers, zero MRR, zero LOIs (we've been in stealth — public launch May 16, 2026). Second, we want investors to share in early upside. At $6M pre-money, a $25K minimum ticket gets ~0.36% of a company with the most comprehensive built product in pre-Series-A LegalTech.
What is Lawra's moat?
Three layers. (1) Multilingual — we ship in 9 languages including Arabic with RTL. Harvey, CoCounsel, Luminance, Legora are English-mostly. (2) Multi-product ecosystem — content + education + 50-tool catalog across 6 product categories + consulting + Lawra Contracts + Lawra Incorporate Premium. Not a single-product play. (3) 95+ document incorporation kit productized — uniquely shipped as a freemium 5-tier package generator that replaces $25K–$75K in attorney drafting fees per package. No competitor has this.
Why now?
AI fever in LegalTech right now. Harvey at $11B, Enter just hit unicorn at $1.2B, Legora at $25M post-seed with no traction. Investors are actively hunting for the next legaltech bet. We're the only platform built natively for the next 2 billion lawyer-hours — LatAm + Iberia + the multilingual mid-market that nobody else is seriously serving.
What happens if Harvey or CoCounsel enters Lawra's market?
They've had 3 years to enter and haven't. The reason is structural: an English-trained model + an English business team + AmLaw-100 GTM doesn't translate. Lawra is built ground-up for civil-law jurisdictions, Spanish + Portuguese + Arabic + Chinese + Japanese + 4 European languages, and mid-market pricing. Even if Harvey turned its attention to LatAm tomorrow, they'd need 12–18 months to do what we've already shipped. We use that window to lock distribution and sign multi-year enterprise + government deals that they can't unwind.
Who is on the cap table?
Six co-founders: Carlos Miranda Levy (Innovator-in-Chief, 50%), Tanya Mejía-Ricart (Senior VP Law & Regulations, 10%), Ana Carolina Blanco Haché (VP IP & Entertainment Law, Oxford LLM, 10%), Ydarlis Cabrera (CCO, 10%), Fabiola Herrera (Senior VP Regulatory Affairs & Government Relations, ex-Central Bank Subgerente, 10%), Luishy Medina (CTO, 10%). Combined ~70 years of regulatory, legal, and tech execution. See /about/team/.
How is founder voting protected after dilution?
Founders hold a pooled voting agreement on board matters: all six vote as a block. Reserved matters (sale, dissolution, new equity, ESOP changes) require 75% supermajority of founders. Drag-along rights allow 75% of founders to force a sale of the company. This is drafted in the Acuerdo de Socios (shareholders' agreement). Investors at the SAFE stage have economic rights but no governance role until conversion at Series A — and even then governance is structured to preserve founder alignment.
What's the diligence process?
Three stages. (1) Initial review — read the Investors page, pitch deck, and business plan. (2) Conversation — call with Carlos to discuss fit. (3) Soft commit — agree on ticket size; we send the diligence packet (cap table model, governance docs, financial model, SOC 2 readiness plan). (4) SAFE signing — exchange standard YC SAFE template, sign, wire, done. Typical end-to-end timeline: 2–4 weeks per investor.
How do I get started?
Email investors@lawra.io with your background and ticket interest. We'll respond within 48 hours with the materials and propose a 30-minute introductory call. Lawra exits stealth mode May 16, 2026 — we welcome conversations now and through Q3 2026.
How does Anthropic's open-source claude-for-legal release affect Lawra's position?
Anthropic released claude-for-legal on April 21, 2026 — 80+ workflow agents across 11 legal practice areas. It is the strongest possible validation of the agentic legaltech category Lawra was independently building in. Strategically, it strengthens our position in four ways:
1. Category validation. The model maker has just confirmed that AI-for-law is a real, sustained market. Investor objection "is this category real?" is now answered by Anthropic itself.
2. Free R&D foundation. Their system prompts, skill structures, and disclaimer doctrines are open-source. We adopt + adapt the best ones rather than reinvent — accelerating our agent catalog from 27 → 50+ in Q3 2026 without proportional engineering cost.
3. Our differentiators are sharper, not weaker. claude-for-legal is English + US-common-law only. No civil-law adaptations. No multilingual support. No sovereign deployment. No education layer. No Trial Simulator, Council of Jurists, or multi-persona AI. The 9-language + LatAm + sovereign + simulators stack remains unique to Lawra.
4. We have the operational playbook live. Daily upstream tracking via a GitHub Actions cron job, automated change detection, per-skill metadata, and an extraction-and-attribution playbook documented in our internal repo. Anthropic's commits flow to a digest we review weekly. We port what serves LatAm + multilingual users; we ignore what doesn't.
Bottom line: Anthropic legitimized the category, freed up our engineering budget, and didn't address our specific market. We're moving faster, with broader coverage, and a sharper geographic + linguistic focus than they will.
Proof point — the playbook is live. Our first Anthropic-derived extraction is shipped: the Vendor Agreement Reviewer at /practice/vendor-review/, distilled from their 343-line commercial-legal:vendor-agreement-review skill (commit 9cecd91) into a 110-line system prompt with civil-law tradition selector, jurisdictional citation guidance, and 9-language support. Four hours of engineering, attributed transparently, deployed across all 9 locales. Next four extractions (DPA, DSAR, Termination, Trademark) follow the same playbook.
1. Category validation. The model maker has just confirmed that AI-for-law is a real, sustained market. Investor objection "is this category real?" is now answered by Anthropic itself.
2. Free R&D foundation. Their system prompts, skill structures, and disclaimer doctrines are open-source. We adopt + adapt the best ones rather than reinvent — accelerating our agent catalog from 27 → 50+ in Q3 2026 without proportional engineering cost.
3. Our differentiators are sharper, not weaker. claude-for-legal is English + US-common-law only. No civil-law adaptations. No multilingual support. No sovereign deployment. No education layer. No Trial Simulator, Council of Jurists, or multi-persona AI. The 9-language + LatAm + sovereign + simulators stack remains unique to Lawra.
4. We have the operational playbook live. Daily upstream tracking via a GitHub Actions cron job, automated change detection, per-skill metadata, and an extraction-and-attribution playbook documented in our internal repo. Anthropic's commits flow to a digest we review weekly. We port what serves LatAm + multilingual users; we ignore what doesn't.
Bottom line: Anthropic legitimized the category, freed up our engineering budget, and didn't address our specific market. We're moving faster, with broader coverage, and a sharper geographic + linguistic focus than they will.
Proof point — the playbook is live. Our first Anthropic-derived extraction is shipped: the Vendor Agreement Reviewer at /practice/vendor-review/, distilled from their 343-line commercial-legal:vendor-agreement-review skill (commit 9cecd91) into a 110-line system prompt with civil-law tradition selector, jurisdictional citation guidance, and 9-language support. Four hours of engineering, attributed transparently, deployed across all 9 locales. Next four extractions (DPA, DSAR, Termination, Trademark) follow the same playbook.
How does Lawra organize its offering by legal practice area?
Today we cover 10 practice areas with uneven depth — and we're transparent about it.
Deep coverage (strongest revenue concentration today):
· Commercial — Vendor review, MSA/NDA analysis, demand letters, clause analyzer, contract drafting
· Corporate — Lawra Incorporate (95+ docs in the package), governance, conflict checks, board memos
· Litigation — Trial Simulator, Lawsuit Assembly, Deposition Questions, Settlement Valuation, E-Filing
Growing coverage:
· Employment, Privacy & Data, IP, Regulatory & Compliance, AI Governance — at least one core tool live in each, expansion roadmapped via Anthropic extractions (Termination Reviewer, DPA Reviewer, DSAR Responder, Trademark Clearance, Vendor AI Reviewer).
On roadmap:
· Family, Tax — covered by horizontal tools (Plain-Language, Statute Explainer, Document Drafter) but no dedicated practice-area depth yet. Targeted for 2027.
Why practice areas, not tool counts? Anthropic positioned by practice area (11). Buyers — in-house counsel, corporate-litigation partners, IP specialists — think by practice area. The taxonomy matches the buyer's mental model and aligns our investor narrative with our sales narrative. The same 50 tools and 10 agents, presented as deep verticals where we win and honest roadmap where we don't.
Deep coverage (strongest revenue concentration today):
· Commercial — Vendor review, MSA/NDA analysis, demand letters, clause analyzer, contract drafting
· Corporate — Lawra Incorporate (95+ docs in the package), governance, conflict checks, board memos
· Litigation — Trial Simulator, Lawsuit Assembly, Deposition Questions, Settlement Valuation, E-Filing
Growing coverage:
· Employment, Privacy & Data, IP, Regulatory & Compliance, AI Governance — at least one core tool live in each, expansion roadmapped via Anthropic extractions (Termination Reviewer, DPA Reviewer, DSAR Responder, Trademark Clearance, Vendor AI Reviewer).
On roadmap:
· Family, Tax — covered by horizontal tools (Plain-Language, Statute Explainer, Document Drafter) but no dedicated practice-area depth yet. Targeted for 2027.
Why practice areas, not tool counts? Anthropic positioned by practice area (11). Buyers — in-house counsel, corporate-litigation partners, IP specialists — think by practice area. The taxonomy matches the buyer's mental model and aligns our investor narrative with our sales narrative. The same 50 tools and 10 agents, presented as deep verticals where we win and honest roadmap where we don't.
Talk to us directly
If you have questions this FAQ doesn't answer, write to investors@lawra.io or message us on WhatsApp. We personally review every investor inquiry.
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