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I've seen a mid-size firm sanctioned after underestimating review volume by 3x and blowing a discovery deadline. The bill’s shocker: export and archive fees they never budgeted for. Avoid that fate. Use this 4-step eDiscovery cost calculator to get predictable eDiscovery billing across matters in 2026.

eDiscovery software pricing hinges on three drivers: data volume (GB), user seats, and feature set. Most buyers compare per-GB (pay-as-you-go) versus subscription pricing models. The guide below helps you estimate data, count seats, pick features, and compare models—grounded in average eDiscovery costs and real market ranges.

The definition of eDiscovery software is a digital tool that helps lawyers find, review, and organize electronic evidence like emails, documents, or chats. It makes searching faster and more accurate. Law firms and legal teams use it during cases.

Why is eDiscovery important?

eDiscovery is key in modern legal work because most evidence is digital. It saves time, lowers costs, and ensures nothing critical gets missed.

  • Speeds up finding important digital files
  • Reduces manual work and errors
  • Helps law teams meet court deadlines
  • Ensures compliance with legal rules
  • Improves case strategy with organized evidence
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eDiscovery Software Pricing Calculations & Considerations

I’ve worked with eDiscovery software enough to understand the hidden costs and key factors that can make or break your budget. Below, I’ll break down the most common pricing models, what to watch out for, and how to calculate the true cost so you can make informed decisions for your firm.

Step 1: Estimate Your eDiscovery Data Volume (GB)

Before you can predict costs, you need a realistic sense of how much data will flow into the eDiscovery process. Data volume is the foundation of nearly every pricing model, and even small miscalculations here can multiply expenses later.

Count your custodians

Start by identifying the likely data holders—employees, executives, and subject-matter experts. Multiply the number of custodians by an average data size per person. Don’t underestimate here: old mailboxes and legacy PSTs can balloon totals quickly.

  • Identify likely data holders (employees, execs, experts).
  • Multiply by an average size per custodian.
  • Mailboxes and document stores commonly add up faster than expected, especially with legacy PSTs.

Break down data types

Separate your estimate into email, documents, chat (Teams/Slack), and shared drives. Chat platforms in particular can spike volumes because of attachments, inline images, and rich metadata.

  • Email, documents, chat (Teams/Slack), collaborative drives.
  • Chat often inflates volume due to attachments, inline images, and metadata.

Map volume to cost components

Two main pricing levers dominate:

  • Processing (one-time intake): $35–$75 per GB
  • Hosting (recurring storage): $5–$12 per GB per month

Here’s the paradox: while cloud storage costs have been drifting down 2–5% per year, AI-assisted review surcharges are steadily rising.

Quick baseline math

Baseline cost = (Processing rate × GB) + (Hosting rate × GB × months)

After this, layer in user seats, advanced features, and any matter-specific services.

💡 Pro tip: Enter your expected custodian count and average data size into a simple spreadsheet. Even rough math gives you a powerful head start for budget planning and vendor comparisons.

Step 2: Tally Your Team’s User Seats

After data volume, the next biggest driver of eDiscovery costs is people. Seat licensing can rival storage fees, especially in large or long-running cases, so mapping who needs access — and at what level — is critical to avoid overspending.

Who needs access?

Start by listing the roles that require logins: attorneys, contract reviewers, paralegals, experts, and case administrators. Not everyone needs full access, but failing to account for specialists or external counsel can lead to last-minute surprises.

Role tiers

Vendors often distinguish between license types, such as Reviewers, Administrators, and Project Managers. Each tier carries different costs or bundles, and higher-tier seats sometimes include advanced features like batch coding or production tools.

Pricing model impact

  • Subscription model: Often includes a fixed bundle of seats; any extras are purchased as add-ons.
  • Per-GB model: Typically charges a lower base storage rate but adds seat fees separately. This model works well if your review team stays lean.

Quick roll-up math

Seat subtotal = Role × Seat count × Seat fee.

This simple calculation lets you quickly compare vendors and see how different team structures affect your budget.

💡 Pro tip: Don’t just plan for today’s team: anticipate growth. Adding even a handful of reviewers mid-case can shift your monthly licensing costs by thousands of dollars.

Step 3: Select Your Feature Level (and Note TAR Pricing)

Features can quietly outweigh storage and seats in total cost if you’re not careful. Many teams underestimate how add-ons like analytics or AI review tools are billed, only to face unexpected charges mid-case.

The essentials

At minimum, you’ll need core capabilities like document review, search, tagging, and productions. These are typically bundled into the base platform fee and form the foundation of every matter.

The power-ups

Advanced tools such as Technology-Assisted Review (TAR), predictive coding, concept clustering, and analytics can drastically reduce review hours — but they come with varied pricing models. Some vendors include TAR in subscriptions, while others charge per GB, or even meter by usage.

The extras

High-touch features like project management, forensic collection, custom integrations, advanced redaction, and expert hosting can add another layer of expense. They’re powerful but should be budgeted carefully, especially if your case doesn’t require them all.

Track your feature subtotal

Make sure to document your chosen features as a line item so you can compare apples-to-apples across vendors. If you experiment with Gen-AI features like summarization, Q&A, or classification, record any per-document or per-prompt surcharges separately to avoid hidden surprises.

💡 Pro tip: Pilot new AI or analytics features on a subset of data before rolling them out broadly. This helps you gauge their impact on both efficiency and cost before committing.

Step 4: Compare Per-GB vs Subscription Pricing Models

The heart of eDiscovery pricing lies in the model you choose. Whether you pay per GB or lock into a subscription, the trade-offs can drastically affect predictability, flexibility, and total spend.

Pay-as-you-go (Per-GB)

Formula = (Processing × GB) + (Hosting × GB-months) + (Seat fees) + (Feature fees) + (Other fees).

Best for sporadic or unpredictable matters, smaller review teams, or cases where data volumes fluctuate widely.

Subscription (Flat-fee with caps)

Formula = Flat annual fee + Overage (if you exceed GB or seat caps).

Best for consistent, high-volume litigation where cost predictability matters and you can size your caps realistically.

Hidden or variable costs to surface early

Don’t stop at the headline rates — clarify add-ons like:

  • OCR and advanced redaction
  • Data export/download and productions
  • Inactive or archival matter storage
  • AI-review or Gen-AI surcharges
  • Collections, migrations, and custom reporting

eDiscovery Software Case Example: 200 GB, 6 Months, 15 Seats

Cost ComponentFormulaEstimate
Processing200 GB × $35–$75/GB$7,000–$15,000
Hosting200 GB × 6 months × $5–$12/GB-mo$6,000–$14,400
SeatsRole × Seat Count × Seat FeeAdd your subtotal (S)
Features/TARDepends on vendor model (flat, per-GB, or metered)Add your subtotal (F)
Other FeesExports, OCR, archive, etc.Add (H)

Per-GB Model Estimate = $13,000–$29,400 + S + F + H

Subscription Model = Flat annual fee + overage (if you exceed included GB/seats)

Subscription wins when your expected GB-months and seat counts stay consistently near the cap. Per-GB wins when you only spike occasionally or can keep review teams lean. To formalize this: set Per-GB total = Subscription total and solve for GB-months and seats using vendor quotes.

💡 Pro tip: Ask vendors to run the same case through both models. Seeing side-by-side math on your own numbers is the fastest way to spot which pricing structure aligns with your risk profile.

One of the most common questions I get from law firms and corporate legal teams is: “What should we be paying for eDiscovery?” The answer, of course, depends on volume, scope, and vendor — but there are reliable benchmarks. Here's what most buyers can expect heading into 2026:

  • Processing Costs: Typically range from $35 to $75 per GB, charged once upon ingestion. This includes deduplication, indexing, and basic file preparation. Some vendors include light preprocessing at no cost, but full-scale processing (especially on native files or multimedia) still draws a premium.
  • Hosting Costs: Expect $5 to $12 per GB per month for active case data. Cold storage options are starting to appear on pricing sheets, but be careful — not all vendors make archive pricing transparent upfront.
  • User “Seats”: These vary widely. Vendors often bundle a set number of reviewer, admin, and project management roles, but overages can get expensive. I advise checking how they define a “seat” and whether temporary access counts against your license.
  • TAR & AI Pricing: Some platforms include tech-assisted review (TAR), analytics, and now generative AI features in their standard subscription tiers. Others meter these separately — either by GB, document count, or compute time. Make sure you understand how these tools are billed, especially if you're planning large-scale reviews or early case assessments.
  • eDiscovery Certification: I'm seeing more firms prioritize specialised training for eDiscovery tools and processses. These certifications not only validate technical skills but also demonstrate compliance readiness, making professionals more competitive in a growing legal tech market.
  • Trend Watch for in 2026 and beyond: Storage costs are softening modestly thanks to cloud efficiency gains. But the real action is on the compute side. Vendors are increasingly charging surcharges for heavy analytics, TAR, and Gen-AI features. It’s becoming clear that these tools, while powerful, are not “free with the platform” anymore.

My eDiscovery Software: Cost Evaluation Checklist

When I sit down to evaluate an eDiscovery tool for my firm or a client, I walk through this checklist every time:

  • How many GBs and seats are included up front?
  • What are the overage rates for storage, users, and features?
  • How is TAR/AI priced — bundled, by doc, or by compute?
  • Are there export or production fees for getting your data back out?
  • What does archive pricing look like after a case is inactive?
  • What kind of support SLAs are offered — 24/7, or business hours only?
  • What are the migration terms if you need to switch vendors later?

There’s no one-size-fits-all answer, but when you evaluate vendors against these points, it becomes easier to see where the true costs (and value) lie.

eDiscovery Software Pricing FAQ

Here are some questions people also ask me about eDiscovery software costs and other implementation considerations.

What Next?

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