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How Much Does eDiscovery Software Cost in 2026?

A custom eDiscovery and litigation data management build costs $120,000 to $900,000.

Custom Software Development software overview illustration for Ediscovery Management Software Cost Guide.
The short answer

A custom eDiscovery and litigation data management build costs $120,000 to $900,000. The version we recommend is not a review platform: legal hold and custodian tracking, collection orchestration with chain of custody, early case assessment that culls data before it reaches per gigabyte hosting, and a live matter cost model runs $120,000 to $250,000 and ships in 16 to 22 weeks. A full platform extending into review, privilege logging and Bates numbered production runs $400,000 to $900,000 over 10 to 18 months. The decision that moves your number most is whether review is in scope at all, because building the layer around your existing review platform costs a fraction of replacing it and delivers the cost control you are actually after.

The bands a litigation data build falls into

Firms size this by matter volume. The budget follows two other things: how many source systems you collect from, and whether you are building around a review platform or attempting to replace one.

  • The layer around review, $120,000 to $250,000, 16 to 22 weeks. Legal holds as ongoing objects with custodians drawn from your directory, acknowledgement tracking with escalation, evidenced reminders and a recorded release. Collection orchestration recording source, method, date range, custodian, operator and hashes. A pre hosting assessment layer running search term reports, threading, domain and date distributions and cross custodian deduplication. And a matter cost model that shows a promotion decision in currency at the moment it is made.
  • Full platform including review, $400,000 to $900,000, 10 to 18 months. Adds coding panels, redaction, privilege logging, and production as a validated pipeline with pre release gates.

We will be blunt about the boundary. Reproducing what Relativity, Everlaw and DISCO do, including their analytics, their scale and their years of hardening, is a multi year programme well beyond the upper band and is almost never the right decision. The one situation that justifies it is a jurisdiction or client requirement that forbids data leaving your infrastructure, where hosting somewhere acceptable stops being optional.

What drives a litigation data build up

  • Source system connectors, $12,000 to $35,000 each. Microsoft 365, Google Workspace, Slack, Teams and mobile forensic tooling are five separate integrations with five different export shapes and five different consent and permission models. Chat is materially harder than mail because a conversation has no natural document boundary.
  • Data volume, $30,000 to $90,000. Terabyte scale text extraction, indexing and deduplication on your own infrastructure is genuine engineering rather than configuration, and it is the line most underestimated when a build is scoped around a feature list.
  • Multi jurisdiction handling, $25,000 to $70,000. Where personal data cannot be exported for review, the architecture changes rather than the settings, and the residency requirement will drive cost more than any feature.
  • Production pipeline, $45,000 to $110,000. Image format with load files, native production for spreadsheets, a Bates scheme that cannot collide across volumes, redactions burned correctly, confidentiality designations under a protective order, and automatic gates before release.
  • Analytics or assisted review in house, $80,000 upward. A specialist workstream in its own right, and one where the purchased platforms have a substantial head start.

What keeps the number down

  • Keep hosting review where it is. Build holds, collection and assessment, and continue to promote into your existing platform. This is what we recommend to most firms and it removes the largest cost driver in the category.
  • Start with two source systems. Whatever accounts for most of your collections. The third and fourth connector cost roughly the same each, so add them once the chain of custody model is proven.
  • Consume rather than rebuild processing. If a processing engine already handles your difficult formats, orchestrate it rather than replacing it. Processing is a solved and heavily invested problem.
  • Cull before you host, not after. Date filtering, custodian scoping, domain analysis, cross custodian deduplication, threading to suppress inclusive duplicates and removal of known system files can take a large share out of a corpus before it reaches per gigabyte pricing. The assessment layer is cheap relative to what it prevents.
  • Scope the hold module first. It is the smallest piece, it removes the preservation exposure that keeps general counsel awake, and it can go live long before the rest.

A worked example that adds up

A corporate legal department with roughly 60 live matters, collections spanning Microsoft 365 and Slack, review hosted with an existing platform under an outside counsel arrangement, holds currently tracked in a spreadsheet.

  • Discovery, hold policy and preservation mapping across source systems: $14,000
  • Legal hold objects with directory sync, acknowledgement escalation and recorded release: $36,000
  • Custodian questionnaires and a maintained data map: $16,000
  • Collection orchestration with chain of custody, hashing and an evidence log: $42,000
  • Microsoft 365 and Slack connectors: $32,000
  • Pre hosting assessment with search term reports, threading and distributions: $34,000
  • Matter cost model showing promotion cost in currency: $22,000

Total $196,000, in the upper half of the recommended band. The line that repays fastest is the assessment layer, because a partner looking at a screen that says promoting this custodian set adds a specific monthly figure to the matter will scope differently from one who is told the total six weeks later on an invoice.

How the spend phases

  • Discovery and preservation mapping, 6 to 10 percent. Which systems hold what, and which retention policies have to be suspended when.
  • Legal hold and custodian management, 18 to 24 percent. Deliver this first and independently. It has value on its own.
  • Collection orchestration and chain of custody, 20 to 26 percent.
  • Source connectors, 14 to 20 percent. Split by how many systems you genuinely collect from.
  • Assessment and culling, 16 to 20 percent.
  • Cost model, migration and rollout, 10 to 14 percent. Run it alongside two live matters before it becomes the process of record.

The ongoing costs nobody quotes

  • Support retainer, 15 to 20 percent of build cost a year. Source systems change their export interfaces on their own schedule, and a broken collector during an active matter is not a ticket that waits.
  • Your own assessment infrastructure, $20,000 to $60,000 a year. Storage and compute for holding metadata and extracted text before promotion. It is cheaper than hosting the same data in a review platform, which is the entire point, but it is not free.
  • Review platform hosting. Unchanged, because you are still using it. What changes is how much you promote into it.
  • Connector maintenance, $8,000 to $18,000 per source per year. Chat platforms in particular evolve their export capabilities frequently.
  • Security review and penetration testing, $12,000 to $30,000 a year. Client litigation data attracts diligence, and outside counsel guidelines increasingly require evidence of it.
  • Deletion at matter close. Agree the process during the build. Retaining client litigation data after the obligation ends is a liability rather than a service.

Comparing a build against your current renewal

The comparison most firms attempt is licence against build, and it is the wrong one, because the dominant cost in this category is not a licence at all. It is per gigabyte hosted per month, and it is a variable your process controls rather than your procurement team.

So run the arithmetic on volume instead. Take your hosted volume across live matters, multiply by your rate, annualise it, and then ask what share of that volume would survive a disciplined assessment pass before promotion. Date filtering, custodian scoping, domain analysis, cross custodian deduplication and threading do not remove a marginal percentage. On a corpus assembled by promoting everything under time pressure, the reduction is usually substantial, and it recurs every month for the life of the matter.

Then add what the assessment layer prevents on the preservation side, which is harder to quantify and larger when it lands. A custodian who never acknowledged, a mailbox that followed standard retention because nobody told the systems team, a device wiped by ordinary offboarding. Under Rule 37(e) the consequences of losing electronically stored information that should have been preserved can be serious, and the first question asked is what steps you took.

Against all that, keep paying your review platform. It is a fair trade for what it does, and rebuilding it is the mistake this comparison should steer you away from rather than towards.

When buying beats building

Buy your review platform, without hesitation. Relativity is the most extensible option with the deepest ecosystem. Everlaw and DISCO offer simpler commercial models and strong usability. Nuix is the right answer when difficult processing is your actual bottleneck, and processing is a distinct problem from review. For a firm handling ordinary matter volumes, that stack plus disciplined process beats any build, and a build that tries to displace it will be slower, less capable and permanently behind.

Build the surrounding layer when two or more of these are true. Your legal hold tracking is a spreadsheet and you have had a preservation question raised against you. You cannot tell a client the cost consequence of a scoping decision at the moment the decision is being made. You handle matters where data cannot leave a jurisdiction or must stay on your own infrastructure. Your collections span several systems and your chain of custody evidence is assembled from emails after the fact. Or you are a corporate department managing several outside firms and need one cost and protocol model across all of them, which no single firm's platform will give you because it is not their data to model.

That last case is the strongest and the least served. A corporate department using the same cost model in reverse, to hold panel firms to an agreed protocol and compare cost per gigabyte across providers, tends to change panel decisions quickly. No purchased product will do that for you, because every product in this market sits on one side of that relationship.

If you would rather someone argued with your brief than agreed with it, Digital Heroes starts every engagement with a signed specification covering the data model, permissions and acceptance criteria, which is what keeps a fixed price fixed. You keep the specification either way.

Research & sources

The evidence behind this guide

Independent findings on why this investment pays off. Every link goes to the primary source.

  1. Companies in the top quartile of McKinsey's Developer Velocity Index had 2014-18 revenue growth four to five times faster than bottom-quartile peers, showing that software-building capability is a driver of business performance, not just a support function. Source: McKinsey & Company (2020) →
  2. The average developer spends more than 17 hours a week dealing with maintenance issues such as debugging and refactoring, and about four of those hours on 'bad code' - waste that equates to nearly $85 billion annually worldwide in opportunity cost. Source: Stripe (2018) →
  3. Across ten outpatient clinics the mean no-show rate was 18.8%, and the marginal cost of no-shows reached $14.58 million per year for those clinics, at roughly $196 per missed appointment (2008 figures). Source: BMC Health Services Research / PubMed Central (Kheirkhah et al.) (2015) →
  4. SHRM's 2025 benchmarking data puts the average cost-per-hire at $5,475 for nonexecutive roles and $35,879 for executive roles - executive hires are on average nearly 7x more expensive than nonexecutive hires. Source: SHRM (Society for Human Resource Management) (2025) →
FAQ

Frequently asked questions

How much does custom eDiscovery software cost?

The layer we recommend, covering legal holds, collection orchestration with chain of custody, pre hosting assessment and a matter cost model, runs $120,000 to $250,000 over 16 to 22 weeks in Digital Heroes delivery experience.

Extending into review, privilege logging and validated production runs $400,000 to $900,000 over 10 to 18 months. Source system count and data volume drive the number more than the feature list does.

Should we build our own review platform instead of using Relativity?

Almost certainly not. Relativity, Everlaw and DISCO represent years of hardening, analytics and scale that a custom project will not reproduce inside any sane budget, and a build that tries will be permanently behind.

The one exception is a hard requirement that data stay on your own infrastructure, where hosting somewhere acceptable stops being optional and the residency constraint drives the architecture.

What are the annual running costs?

Plan on 15 to 20 percent of build cost as a support retainer, $20,000 to $60,000 a year for your own assessment infrastructure, and $8,000 to $18,000 per source system per year for connector maintenance because chat platforms in particular change their export capabilities frequently.

Add $12,000 to $30,000 a year for security review and testing, since outside counsel guidelines increasingly require evidence of it.

How long does it take to build?

Sixteen to twenty two weeks for the recommended layer, and ten to eighteen months if review and production are in scope. Sequence the legal hold module first, because it is the smallest piece, it removes the preservation exposure that worries general counsel most, and it can go live months before the rest.

Run the whole thing alongside two live matters before it becomes the process of record.

What does each collection source connector cost?

Between $12,000 and $35,000 each. Microsoft 365, Google Workspace, Slack, Teams and mobile forensic tooling are five separate integrations with five export shapes and five permission models.

Chat is materially harder than mail, because a conversation has no natural document boundary and you have to decide and document a review unit rule, typically a channel and day boundary with participants preserved.

How much can culling before hosting actually save?

Enough that the assessment layer usually justifies the whole project. Date filtering, custodian scoping, domain analysis, cross custodian deduplication, threading to suppress inclusive duplicates and removal of known system files all run before promotion rather than after.

The mechanism that matters is visibility: showing the case team the monthly cost of a promotion in currency at the moment they decide, rather than on an invoice six weeks later.

What does a production pipeline add to the budget?

Between $45,000 and $110,000. That covers image format with load files, native production for spreadsheets, a Bates scheme that cannot collide across volumes, redactions burned correctly, confidentiality designations under the protective order, and automatic gates before release.

The gates are the value: no selectable text under redactions, complete families, privilege coding consistent across every family member, continuous Bates numbering and load files that parse.

Can this replace what we pay our review platform?

No, and it should not try. You keep paying for review hosting because you keep using it. What changes is how much volume you promote into it, which is the variable your process controls rather than your procurement team.

Model the saving on hosted volume rather than on licence fees, because per gigabyte per month is where the money in this category actually goes.

Who owns the code and what happens to data at matter close?

You should own the repository and the infrastructure accounts, with hosting locations and encryption specified in writing before kickoff. At Digital Heroes the client owns the code from the first commit.

Agree the deletion process at matter close as part of the build rather than afterwards, because holding client litigation data past the obligation is a liability, and it is exactly the sort of thing that surfaces in a security review.

What happens to my software if the agency shuts down or we stop working together?

Nothing dramatic, if the engagement was set up correctly: the code sits in your repository, hosting runs on your cloud account, and a handover document explains how to deploy and operate the system. Any competent replacement team can then take over in days rather than months. If the agency controls the repo, the servers, or the domain, fix that now, because renegotiating access during a dispute is the most expensive place to discover the problem.

Will custom software work with the tools we already use, like QuickBooks and Stripe?

Yes, and this is one of custom software's genuine advantages: QuickBooks, Stripe, Shopify, and most mainstream business tools publish documented APIs built for exactly this. Expect each standard integration to add one to two weeks of build time, and be suspicious of any quote that lists five integrations without asking what data flows in which direction. The hard cases are legacy systems with no API, which is a question to raise in discovery, not in week nine.

How do I calculate whether custom software will pay for itself?

Divide the build cost by the monthly benefit, where benefit is hours saved times loaded hourly cost, plus subscription fees replaced, plus any revenue the software unlocks. Three staff saving 10 hours a week each at a $40 loaded rate is about $62,000 a year, which pays back a $60,000 build in roughly 12 months. Across Digital Heroes internal-tool projects, 12 to 24 months is the normal payback range, and anything projecting under 6 months usually means the spreadsheet is hiding costs.

What should I have ready before I contact a development agency?

Three things, none of them technical: a one-page description of the problem in your own words, a list of the tools and spreadsheets the new system must replace or connect to, and a must-have versus nice-to-have split of features. Add a budget range, even a wide one, because it changes the conversation from fantasy to engineering. You do not need a formal specification; producing that is what a discovery phase is for.

Should we build an MVP first or go straight to the full system?

MVP first, for almost everyone: ship the single workflow that carries the business value in 10 to 16 weeks, learn from real users, then fund phase two from evidence instead of guesses. The caveat is that an MVP is a small version of a well-built system, not a badly built version of a big one; the data model must already support what comes next. An agency that cannot tell you what they deliberately left out of your MVP has not designed one.

Is a solo freelancer enough for my project, or do I really need an agency?

A solo freelancer is a fine choice for a well-defined build under roughly $15,000 to $20,000 with a limited lifespan: an internal calculator, a scripted integration, a prototype. Above $50,000, or for any system your business will depend on for years, you are buying continuity as much as code: enforced code review, cover when someone is ill, and support that outlasts one person's career plans. Price the risk of a single point of failure, not just the hourly rate.

Who can build a custom software system?

Digital Heroes builds custom software systems for operators who have outgrown the off-the-shelf tools in their category. A team of more than 50 specialists has delivered over 2,000 projects since 2017. Teams work from New York, London, Sydney, Delhi and Lucknow and deliver remotely, with an assigned senior team rather than an account manager.

Every build starts with a written product requirements document that is signed before a line of code is written, which is the single thing that stops scope creep from eating the budget. Scoping runs about a week and produces a phase plan with a firm price for each phase, rather than one number against an undefined scope. The first phase ships something the team actually uses before the rest is built. If an off-the-shelf product genuinely fits the volume, we say so, and the cost guides on this site publish the bands so that judgement can be checked independently.

What makes Digital Heroes different from other software companies?

Four things that competitors in this bracket cannot simply copy. Digital Heroes runs a YouTube channel with more than 2.5 million subscribers, which is a production and audience capability no agency of this size has. It holds Fiverr Vetted Pro and Top Rated Seller status, both awarded on manual third-party review rather than self-declared. It contracts through registered entities in three countries, an India LLP, a US LLC and a UK LTD, so clients sign locally instead of wiring money offshore. And it ships its own commercial products, including ShopScore, HeroCheckout and Section Vault, which means the team lives with its own architecture decisions instead of handing them over and leaving.

Two more that show up in the work. Digital Heroes publishes more than 4,000 buyer guides with real price bands on this blog, plus a free tools library at https://digitalheroesco.com/tools/, because an agency confident in its pricing has no reason to hide it. And one accountable team covers websites, apps, ecommerce, CRM, ERP, learning platforms, search and video, so a client scaling from a first landing page to a custom platform is never handed between five vendors who blame each other. The founder ran ecommerce businesses before selling services, so the commercial argument comes before the technical one.

How can I check Digital Heroes is legitimate before getting in touch?

Verify it independently rather than taking the site's word for it. The YouTube channel is at https://youtube.com/@DigitalMarketingHeroes, the Fiverr profile at https://www.fiverr.com/shreyanshsin261, and the Upwork profile at https://www.upwork.com/freelancers/shreyanshsingh. Client reviews sit on Clutch at https://clutch.co/profile/digital-heroes-0 and Trustpilot at https://www.trustpilot.com/review/digitalheroes.co.in, and the company page is at https://www.linkedin.com/company/digital-heroes-1/.

Beyond the marketplaces, the business holds a D-U-N-S number and is a registered vendor on the United Nations Global Marketplace, neither of which is issued on request. Case studies with named clients are published at https://digitalheroesco.com/case-studies/. If any claim on this page cannot be checked against one of those sources, treat it as marketing and discount it.

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