AI Implementation for Litigation Firms
Fixing Intake & Drafting Inefficiencies in 90 Days.
THE REAL PROBLEM
Most litigation firms don’t have a marketing problem.
They have an intake and drafting efficiency problem.
- Intake inquiries go unanswered for hours.
- Follow-up is inconsistent.
- Associates spend time drafting documents from scratch.
- Internal knowledge sits unused.
- Managing partners lack operational visibility.
Revenue isn’t lost because demand is weak. It’s lost inside inefficient systems.
THE SOLUTION
Operational Efficiency for Litigation Firms
A structured 90-day implementation that transforms intake, documentation, and operational workflows using compliance-first AI.
WHAT WE BUILT
Intelligent Intake Engine
AI-powered intake qualification
Instant response workflows
Structured data capture
Lead scoring and follow-up automation.
Documentation Efficiency Engine
AI-assisted drafting (human-reviewed)
Guardrail-based templates
Case summary copilots
Internal knowledge retrieval.
Operational Visibility Dashboard
Intake conversion metrics
Response time tracking
Billable efficiency reporting
Executive-level performance visibility
Everything is documented.
Everything is compliant.
Everything is human-supervised.
THE 90 DAY FRAMEWORK
Audit
Phase 1 – (Weeks 1–3)
• Intake workflow analysis
• Case flow review
• Technology assessment
• Compliance guardrail mapping
Deliverable: Revenue Loss & AI Opportunity Report
Workflow Build
Phase 2 – (Weeks 4–8)
• Intake automation implemented
• AI drafting workflows deployed
• Internal knowledge copilots created
• Guardrails documented
Deliverable: Functional AI Revenue Systems
Implementation & Measurement
Phase 3 – (Weeks 9–12)
• KPI dashboards activated
• Staff training & adoption
• ROI tracking
• Executive reporting
Deliverable: Fully Operational Revenue Engine
If we don’t identify measurable operational upside during the audit phase, we won’t recommend moving forward
.
Enterprise-Level Discipline. Applied to Litigation Firms.
Who is this for?
This is built for litigation firms that:
• Have 10–50 attorneys
• Handle high matter volume
• Depend on intake velocity
• Care about margin and realization
• Want AI advantage without compliance risk
Enterprise-Level Discipline. Applied to Litigation Firms.
Who is this not for?
This is not for firms that:
• Are looking for a chatbot
• Want AI experimentation
• Have no intake volume
• Prefer ad-hoc processes
RESULTS WE TARGET
What Firms Typically Gain
- 5–20% improvement in intake conversion
- 10–20 hours per attorney reclaimed weekly
- Faster case preparation
- Cleaner internal knowledge systems
- Executive visibility into revenue performance
AI is not the outcome.
Operational control is.
Clarity Before Commitment
Every engagement begins with a confidential strategy session.
We assess:
- Revenue leakage
- Intake inefficiencies
- Documentation bottlenecks
- AI exposure risk
- Operational upside
If we don’t identify measurable operational upside during the audit phase, we won’t recommend moving forward.
In Partnership with
MEET THE FOUNDER & CEO
Chris Dessi
Chris Dessi is a former Chief Revenue Officer and AI implementation leader who has built revenue systems inside highly regulated enterprise environments where compliance, security, and measurable ROI were non-negotiable.
After driving more than $32 million in revenue through AI-enabled operational systems, he now works exclusively with mid-sized law firms to implement structured AI revenue engines that improve intake efficiency, streamline documentation, and enhance executive visibility — without compromising ethical standards.
His work is focused on operational control, not experimentation. Previously held leadership roles across SaaS, fintech, and infrastructure services organizations serving global markets.
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