Court System Cost Analysis: In-House AI vs SaaS

Cost analysis for court system AI deployment.

In-house AI

Upfront:

• Hardware: $50K-$500K
• Software: $0 (open-source) - $100K (commercial)
• Implementation: $50K-$300K
• Training: $20K-$50K

Ongoing (annual):

• Hardware maintenance: 10-15% of upfront
• Software licensing: $0-$50K
• Personnel (1-3 FTE): $200K-$600K

Total Year 1: $250K-$1M
Total Years 1-3: $1M-$3M

SaaS AI

Upfront:

• Implementation: $20K-$100K
• Training: $10K-$30K

Ongoing (annual):

• Subscription: $50K-$500K
• Personnel (0.5-1 FTE): $100K-$200K

Total Year 1: $80K-$700K
Total Years 1-3: $300K-$2M

Hybrid AI

Total Year 1: $100K-$500K
Total Years 1-3: $400K-$1.5M

Decision framework

Choose in-house when:

• High security requirements
• Large volume (cost amortizes)
• Long-term commitment (>3 years)
• Existing IT team

Choose SaaS when:

• Quick deployment needed
• Limited IT staff
• Variable volume
• Compliance certifications needed

Choose hybrid when:

• Some sensitive data on-prem
• Mixed jurisdiction requirements

Acknowledgments

State court procurement documents 2024-2025.

Dillon Deutsch has built both in-house and SaaS legal AI systems. https://courtgpt.ai