Why Use AI for Litigation Support?
In high-stakes litigation, e-discovery and document review can consume 60-80% of case budgets, with external vendors charging $200-400 per hour for manual labor. But what if your team could analyze thousands of documents in hours instead of weeks, all while keeping sensitive data on-device to safeguard attorney-client privilege?
AirgapAI delivers AI for litigation support that runs entirely locally, enabling rapid summarization, relevance tagging, privilege detection, and deposition scripting without cloud risks. This calculator quantifies your potential savings by comparing traditional manual or outsourced review against AI-assisted workflows.
- Cost Reductions: Up to 80% lower expenses through automated document analysis and reduced billable hours
- Speed Gains: Process 10x more documents per day, accelerating case timelines and trial prep
- Security Assurance: On-device processing ensures compliance and privilege protection in regulated legal environments
Case Details
Team Details
Cost Details
Efficiency Details
Analysis Details
How to Use This AI for Litigation Support Calculator
- Define Your Case Volume: Enter the total documents and average pages to establish the e-discovery scope-key for both manual and AI scenarios.
- Specify Team and Rates: Input your reviewer count, blended hourly rates, and external vendor pricing to benchmark internal vs. outsourced costs.
- Set Manual Efficiency: Provide minutes per page for traditional review; this drives the baseline cost before AI acceleration.
- Configure AirgapAI Setup: Use the $430.20 perpetual license per device and expected time savings (70-85% typical for legal doc review).
- Select Analysis Period: Choose months to cover your case phases, capturing amortized AI investment against ongoing savings.
- Review Results: See breakdowns of hours saved, cost reductions, and insights tailored to your litigation workflow.
Pro Tip: For complex cases, factor in multiple review passes-AI excels at iterative tagging and summarization to refine relevance over time.
Calculation Methodology for AI Litigation Savings
This calculator employs standard legal cost modeling to compare workflows, focusing on e-discovery as the primary driver of litigation expenses.
Core Formulas
Total Manual Cost = (Documents * Pages per Doc * Minutes per Page / 60) * Hourly Rate
AI-Assisted Cost = Manual Cost * (1 - Time Reduction %) + (License Cost * Team Size)
Savings = Manual Cost - AI-Assisted Cost
Reduction % = (Savings / Manual Cost) * 100
Component Breakdown
- Manual Review Baseline: Hours calculated from total pages and per-page time, multiplied by internal or vendor rates
- AI Time Savings: Applies 70-85% reduction based on AirgapAI's local processing for summarization and tagging
- Upfront Investment: One-time perpetual licenses per device, amortized over the case period
- External Comparison: Full outsourcing cost using vendor rates for equivalent manual effort
Key Assumptions
- Time Reductions: Derived from legal AI benchmarks; AirgapAI's on-device Blockify structures docs for 78x accuracy in relevance detection
- Privilege Protection: Local execution avoids cloud data exposure, a non-quantifiable but critical legal benefit
- Case Scope: Focuses on first-pass review; additional phases (e.g., depositions) amplify savings
- Scalability: Assumes team devices are equipped; volume licensing reduces per-device costs at firm scale
Real-World Use Cases for AI in Litigation Support
Mid-Size Firm E-Discovery Overhaul
Firm Profile: 50-attorney firm handling commercial litigation, average case with 25,000 docs at 5 pages each, team of 5 reviewers at $250/hour blended rate
Challenge: External vendors quoted $300k for 6-month review; internal manual effort risked privilege slips via cloud tools
AI Outcome: Deploying AirgapAI on team laptops ($430.20/device) with 75% time reduction:
- Manual Cost: $312,500 | External: $375,000
- AI-Assisted Cost: $81,250 (including licenses)
- Savings: $231,250 vs. manual (74% reduction) | Payback: Immediate
- Bonus: Completed review in 1.5 months, enabling faster deposition prep
Corporate In-House Counsel for IP Dispute
Company Profile: Tech firm in patent litigation, 100,000 docs, 8-person legal team at $400/hour, 9-month case
Challenge: High-volume patents and contracts required privilege-protected analysis; outsourcing risked IP exposure
AI Outcome: Local AirgapAI for on-device tagging and summarization (80% efficiency gain):
- Manual Cost: $2.67M | External at $430.20/hour: $3.33M
- AI Cost: $534,000 (hours + $2,800 licenses)
- Savings: $2.14M (80% reduction) | Monthly: $237k
- Impact: Accelerated case strategy, avoiding $500k in rushed vendor fees
Boutique Firm for Class Action Prep
Firm Profile: Specialized class action practice, 50,000 emails/docs, 3 paralegals + 2 attorneys at $200/hour blended, 4-month timeline
Challenge: Tight deadlines for relevance and privilege review; budget constraints limited outsourcing
AI Outcome: AirgapAI's Blockify for structured ingestion and querying (70% time cut):
- Manual Cost: $166,667 | External: $208,333
- AI Cost: $55,000 (reduced hours + licenses)
- Savings: $111,667 (67% reduction) | Faster privilege flagging reduced risks
- Result: Team focused on strategy, winning key motions early
Tips for Maximizing Savings with AI for Litigation Support
- Prioritize High-Volume Phases: Use AirgapAI first for initial e-discovery culling to eliminate 70-80% irrelevant docs before manual review
- Integrate Privilege Detection: Leverage on-device AI to auto-flag attorney-client communications, reducing exposure risks and compliance costs
- Train for Hybrid Workflows: Combine AI summarization with human oversight-spend 20% time validating outputs for 80% faster overall prep
- Scale with Volume Discounts: For firm-wide deployment, the $430.20 MSRP drops effectively; pilot on 5-10 devices to prove ROI before expansion
- Avoid Cloud Pitfalls: Stick to local processing to maintain privilege; external AI tools often log queries, creating discoverable records
- Measure Beyond Costs: Track time savings in depositions and motions-AI insights can uncover case-winning patterns missed in manual scans
- Update Datasets Incrementally: As new docs arrive, use Blockify to refresh without reprocessing everything, keeping analysis current
- Partner with IT for Deployment: One-click EXE installs integrate into golden images; supports Intel/AMD/NVIDIA for secure legal endpoints
Frequently Asked Questions
How does AI for litigation support protect attorney-client privilege?
+AirgapAI processes all documents entirely on-device, ensuring no data leaves your secure environment. Unlike cloud-based tools that may retain queries or metadata, local execution with Blockify structures sensitive content into controlled blocks, preventing inadvertent exposure during e-discovery or review.
What types of legal tasks can AirgapAI accelerate?
+From e-discovery relevance tagging and summarization to deposition scripting, case strategy outlining, and contract analysis-AirgapAI handles text, PDFs, and Word docs. It excels in identifying key facts, privileges, and inconsistencies while maintaining 78x accuracy through curated blocks.
Is the 70-85% time reduction realistic for document review?
+Yes, based on legal industry benchmarks for AI-assisted first-pass review. AirgapAI's on-device inference scans millions of records per second on modern hardware, reducing manual per-page time from 2 minutes to 20-30 seconds, with human validation ensuring quality.
How does AirgapAI's pricing compare to external litigation services?
+With a one-time $430.20 perpetual license per device (volume discounts at scale), AirgapAI eliminates recurring $200-400/hour vendor fees. For a 25,000-document case, savings often exceed $200k, making it ideal for firms seeking predictable budgeting without token or overage charges.
Can AirgapAI handle large-scale e-discovery volumes?
+Absolutely-Blockify ingests and structures massive datasets, reducing volume by up to 97.5% while lifting accuracy. It supports incremental updates and hierarchical metadata for governance, scaling from boutique cases to enterprise-class actions without cloud dependencies.
What hardware is needed for AI litigation support?
+AirgapAI runs on standard Windows devices with CPU/GPU/NPU support from Intel, AMD, NVIDIA, or Qualcomm. For high-volume review, AI PCs with NPUs (e.g., Intel Core Ultra) deliver 8x efficiency, but it scales down to legacy hardware for lighter tasks.
How do I integrate AirgapAI into my firm's workflow?
+Deploy via one-click EXE installer, compatible with Microsoft Intune for managed rollouts. Quick Start templates for legal roles guide usage, and personas can isolate datasets per case. No command-line setup-updates deploy like standard apps, with human-in-the-loop for block validation.
Does this calculator account for multi-phase litigation?
+It focuses on core document review but can be run per phase (e.g., discovery, depositions). For full cases, sum results across stages-AI's efficiency compounds, often paying for licenses in the first phase alone while enabling faster overall resolution.
Ready to Win Cases Faster and Cheaper?
Empower your legal team with AirgapAI's secure, local AI for litigation support-delivering trusted insights that protect privilege, cut costs, and sharpen strategy. Start your pilot today.
Download for your PC
Experience our 100% Local and Secure AI-powered chat application on your Windows PC