docs-roi-calculator

Category: Coding Risk: Low risk ★ 3.9 · Rating 3.9/5 (8) sboghossian/mini-claude-for-legal MIT

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automation_control

name: docs-roi-calculator
description: Use when a prospective customer or sales team member asks about the financial return of deploying a legal AI assistant, or when handling a cost-based sales objection. Generates a quantified monthly savings estimate and payback period from three simple inputs — contracts reviewed per week, average review time, and billable hourly rate — mapped against Louis's time-saving benchmark. Applicable across all jurisdictions and firm sizes.
license: MIT
metadata:
id: docs.ROI-calculator
category: docs
jurisdictions: [multi]
priority: P2
intent: [roi, cost savings, sales objection, payback period, pricing justification]
related: [docs-whitepaper-general, docs-security-overview, docs-terms-of-service-summary]
source: Louis — HAQQ Legal AI (github.com/sboghossian/mini-claude-for-legal)
version: "1.0"

ROI Calculator — Legal AI Time & Cost Savings

Purpose

This skill computes a concrete return-on-investment estimate for a law firm, legal department, or solo practitioner evaluating Louis. It is designed for sales conversations, procurement evaluations, and budget-justification memos — transforming abstract "AI saves time" claims into verifiable, prospect-specific numbers.

Inputs

Input Description Typical Range Default if not provided
contracts_per_week Number of contracts or documents reviewed weekly by the target user or team 2 – 200 Ask the user
avg_review_hours Average time (in hours) to review one contract manually, from open to close 0.5 – 8 hrs 2.0 hrs
billable_rate Hourly billable rate (or effective cost rate for in-house teams) in USD or local currency – /hr /hr
time_saving_pct Louis's estimated time reduction per review. Default benchmark: 40%. Can be adjusted up (80% for routine contracts) or down (20% for bespoke M&A work). 20% – 80% 40%
subscription_cost Monthly cost of Louis subscription for the user's tier Varies by plan Ask or use published pricing

Calculation logic

hours_saved_per_week  = contracts_per_week × avg_review_hours × time_saving_pct
hours_saved_per_month = hours_saved_per_week × 4.33
monthly_value_saved   = hours_saved_per_month × billable_rate
payback_months        = subscription_cost ÷ monthly_value_saved   (if < 1, express as days)
annual_roi_pct        = ((monthly_value_saved × 12) - (subscription_cost × 12))
                        ÷ (subscription_cost × 12) × 100

Output format

Present results in a clean summary block:

─────────────────────────────────────
  Louis ROI Estimate — [Firm/User Name]
─────────────────────────────────────
  Weekly contracts reviewed:      [X]
  Avg. review time:               [X hrs]
  Billable / cost rate:           [$ / hr]
  Time saved per review (40%):    [X hrs]

  Hours saved / month:            [X hrs]
  Monthly value of time saved:    $[X]
  Monthly subscription cost:      $[X]
  Net monthly benefit:            $[X]

  Payback period:                 [X weeks / days]
  12-month ROI:                   [X %]
─────────────────────────────────────

Follow the table with a one-paragraph narrative for copy-paste into a business case email.

Worked example

Inputs: 20 contracts/week · 2 hrs avg · /hr · 40% saving · /mo subscription.

  • Hours saved/month: 20 × 2 × 0.40 × 4.33 = 69.3 hrs
  • Monthly value: 69.3 × = ,255
  • Net benefit: ,255 − = ,755/mo
  • Payback: 0.6 days
  • 12-month ROI: 4,651%

Sensitivities to mention

  • High-volume, routine contracts (NDAs, employment offers, standard service agreements): time-saving is often 60–80%. The default 40% is conservative.
  • Complex bespoke deals (M&A, project finance, ISDA): saving is 20–30% and value comes from completeness and consistency, not raw speed.
  • In-house teams (GC/legal ops): use fully-loaded cost per hour (salary + benefits + overhead ÷ 2,080) rather than billable rate.
  • Currency: quote in the prospect's local currency (AED, SAR, LBP, EGP, EUR, GBP) for MENA markets.

Caveats

  • These are illustrative estimates, not guarantees. Actual savings depend on task mix, user adoption, document complexity, and integration depth.
  • Time savings do not automatically translate to billable revenue for law firms unless the freed capacity is re-billed; frame as "capacity freed for higher-value work" in firm contexts.
  • For in-house teams, anchor to headcount avoidance or contract cycle-time reduction as a secondary metric.
  • [[docs-whitepaper-general]]
  • [[docs-security-overview]]
  • [[docs-terms-of-service-summary]]
  • [[docs-word-plugin-setup]]