AI for Lawyers

• Vibe coding: Describe what I want, Claude Code writes it. Review, iterate, deploy.
• Claude Code (Opus): $200/month unlimited. Handles 80% of my coding.
• ChatGPT Codex: Second opinion on architecture decisions.
• 2-4 hours per tool. Built over 2 years of consistent work.
• No coding background. I'm a lawyer who learned to prompt.

• Simple generators stopped selling. People use ChatGPT for basic NDA templates now.
• Complex generators still have demand. My Stripe demand letter with arbitration routing requires specific ToS knowledge ChatGPT doesn't have.
• Contract drafting from scratch is declining. Clients rarely ask me to draft ToS/PP from scratch anymore.

Most of my work is now reviewing people's ChatGPT first drafts.

Clients come with a GPT-generated contract asking: "Is this actually good? What did it miss? What's going to get me sued?"

That's exactly why I built Terms-Scanner - tools to validate AI-generated drafts.

• Regex patterns catch what GPT misses. 14 years of issues codified into patterns.
• 15-25 specific issues per scanner. Not "this looks risky" - specific issues like "indemnification is one-sided."
• Lawyers want legal intricacies. My explanations cite UCC, state law, specific principles.
• $0 per scan, instant results. No API calls. User pastes, JS runs, results appear.

• Step 1: Run scanner first (free, instant red flags)
• Step 2: Use Claude Sonnet for nuanced analysis (~$0.02/contract)
• Step 3: AI drafts redline language, I review and refine
• Result: 80% of initial review automated, I focus on what needs legal judgment

• Pick a contract type you review often (NDA, MSA, freelancer, lease)
• List the 6-8 issues you ALWAYS check for - that's your pattern list
• Write regex patterns to detect each issue
• Deploy as static HTML/JS - no backend needed
• Each scanner = one HTML file, takes 2-3 hours to build

• What works: Questionnaire-driven intake, JavaScript organizes into summary, AI drafts initial language
• Watch out: AI mixes up state requirements. CA community property, NY EPTL, FL homestead - all different
• Rule: Every document gets manual review for state-specific requirements

• What works: AI extracts info from docs, organizes for forms, drafts support letters
• Watch out: USCIS requirements are precise. Errors cause serious delays.
• Rule: AI drafts, human reviews everything. Strategy requires deep expertise.

• What works: Categorize docs, identify relevant emails, create privilege logs, research summaries
• Watch out: AI hallucinates case citations. Lawyers have been sanctioned for fake cases.
• Rule: Verify EVERY citation on Westlaw/Lexis. No exceptions.

• Criminal: Organize discovery, but jury selection, cross-exam, plea negotiations - all human intuition
• Family: Child custody involves reading people, not documents. Strategy is personal.
• PI: Intake forms and demand letters can be automated. Case value assessment is experience-based.
• Common thread: Where credibility and emotion matter, AI is a minor helper at best

This is where I spend. Opus-powered unlimited coding. I describe what I want, it writes. Review, iterate, deploy. The engine behind 5,000+ pages.

• Haiku 3.5: $0.80/1M in - quick categorization
• Sonnet 4: $3/1M in - main workhorse for analysis
• 10-page contract: ~$0.02 to analyze

Not free at this scale, but still incredibly cheap. Static HTML/JS files, no server to maintain. Near 100% uptime.

• Firebase: Real-time comments in workrooms
• Telegram Bot: Instant notifications when clients submit
• Calendly: Embedded scheduling on every page

Claude API with zero data retention enabled. Enterprise agreements. Never paste client data into free ChatGPT - it trains on inputs.

No exceptions. The output is a starting point. I read, verify, refine. AI is a tool, not a replacement for judgment.

Mata v. Avianca: $5,000 sanction for fake AI cases. Lawyers have been publicly embarrassed and sanctioned. Check every citation. Every one.

I bill flat fees for most work. Client knows the cost upfront. AI makes me faster, they get better value. No ethical issue with efficiency.

I tried AI for contract scanning first. Too slow, too expensive, inconsistent. Regex patterns are instant, free, 100% predictable. Save AI for novel analysis only.

All my tools are static HTML/JS files. Deploy to Cloudflare R2 and forget about infrastructure. Near 100% uptime, zero maintenance.

For demand letters, I don't use AI to generate text. I wrote templates, JavaScript fills variables. Consistent quality, instant delivery, $0 per letter.

Every scanner, calculator has Calendly embedded. User gets value, I get the lead. Convert while they're still engaged with your tool.