Ironclad is the best AI for in-house counsel — it handles the contract lifecycle that eats 60%+ of your team's time. But in-house isn't one job. You need a stack: CLM for contracts, a legal front door for intake, research AI for novel questions, and M&A tools when deals hit. Here's the actual stack worth building.

Ironclad — Best for Contract Lifecycle Management

Ironclad owns CLM for in-house teams. AI-assisted contract generation, redlining, and workflow automation that actually integrates with Salesforce and your existing stack. The AI Review feature catches deviations from your playbook automatically — no more junior associates reading every vendor NDA. Pricing is enterprise (expect $50K+/year), but the ROI math works when your team processes 500+ contracts annually. Best for mid-to-large legal departments drowning in commercial contracts.

Checkbox solves the problem every GC complains about: business teams bypassing legal or submitting half-baked requests. It's a no-code platform that builds legal intake workflows, triages requests by risk level, and routes them to the right person. The AI handles initial assessments so your team only touches what actually needs a lawyer. Pricing starts around $30K/year for mid-size teams. If your inbox is your intake system, Checkbox pays for itself in Q1.

Harvey is the research tool built specifically for legal reasoning, not a chatbot with a law library bolted on. It handles multi-jurisdictional questions, regulatory analysis, and memo drafting with citations you can actually verify. The model was trained on legal data, so it understands context that general-purpose AI misses. Enterprise pricing (custom quotes), but it's the only research AI that consistently passes the 'would I trust this to a first-year' test. Best for teams handling regulatory complexity across jurisdictions.

Luminance — Best for M&A Due Diligence

Luminance's Diligence product processes entire data rooms in hours instead of weeks. The AI identifies non-standard clauses, missing provisions, and risk patterns across hundreds of documents simultaneously. When your team gets handed 2,000 contracts in a data room with a 3-week timeline, Luminance is the difference between sleeping and not sleeping. Enterprise pricing, typically deal-based or annual. Best for teams that handle 5+ transactions per year.

Juro — Best for SMB In-House Teams

Juro is what Ironclad would be if it were built for 3-person legal departments instead of 30-person ones. Browser-native contract management with AI-assisted drafting, e-signatures, and a contract repository that's actually searchable. Pricing starts around $700/month — dramatically less than enterprise CLM. The trade-off is fewer integrations and less customization. Best for in-house teams of 1-5 lawyers who need to stop using Word and email as their contract system.

The In-House AI Stack — How to Build It

Don't buy everything at once. Start with your biggest bottleneck. If it's contracts: Ironclad or Juro depending on team size. If it's intake chaos: Checkbox. If it's research speed: Harvey. Layer tools one at a time, prove ROI, then expand. The full stack (CLM + intake + research) runs $100K-$200K/year for a mid-size department — less than one associate's fully loaded cost.

The Bottom Line: Start with Ironclad if contracts are your bottleneck, Checkbox if intake is the problem, or Harvey if research speed is killing you. Most in-house teams should start with CLM — that's where the volume lives.

AI-Assisted Research. This piece was researched and written with AI assistance, reviewed and edited by Manu Ayala. For deeper takes and the perspective behind the research, follow me on LinkedIn or email me directly.