How much does document review cost? There is no single answer. Pricing depends on the volume and complexity of the review, privilege requirements, staffing, quality control, timeline, technology and the pricing model used.
For legal teams comparing providers, the lowest hourly or per-document rate does not necessarily mean the lowest overall cost. A proposal can become more expensive when the review population grows, additional review levels are needed or services are billed separately.
Understanding document review pricing models and the factors behind an estimate can help legal teams compare proposals, plan budgets and choose an approach that fits the matter.
Several factors influence document review services cost, and understanding them is essential before comparing provider rates.
Data Volume
The number of documents requiring review is an obvious cost factor, but the initial data volume is not always the final review population.
Processing, filtering, deduplication, date ranges, custodians and analytics can significantly change the number of documents ultimately sent to review. Changes to the scope or additional data sources can also increase the population later.
Review Complexity
A straightforward responsiveness review requires a different level of effort than a matter involving multiple issues, complex coding requirements or detailed factual analysis.
The number of coding fields, specificity of the review protocol and amount of legal judgment required can all affect the cost.
Privilege Logs and Redactions
Advanced tasks can add another layer to the workflow, particularly when legal teams need to apply redactions or prepare a privilege log. The scope of these tasks can vary depending on the matter, the review protocol and the level of lawyer involvement required.
Legal teams should confirm whether privilege log preparation and redactions are included in the initial estimate or priced separately.
Richness
Richness refers to the percentage of responsive documents within a dataset. It can affect the cost of any document review workflow because a higher percentage of responsive documents generally means more documents require additional attention.
For advanced review workflows, richness can be particularly important because it can help determine how many documents ultimately require eyes-on review after analytics, AI or other prioritization techniques are applied.
When evaluating an estimate, legal teams should understand how the expected richness of the dataset was determined and how changes in richness could affect the review population and overall cost.
Quality Control
Quality control is an important part of a defensible review. Sampling, consistency checks, senior lawyer oversight and escalation procedures all require resources.
When comparing proposals, ask what level of quality control is included and whether additional QC carries a separate charge.
Staffing and Timeline
Reviewer rates are only one part of the staffing equation. Project management, quality control resources, lawyer oversight and reviewer experience can all affect the total cost.
Timeline matters, too. An accelerated review may require additional reviewers or other project resources, increasing the overall investment.
Technology
Analytics, technology-assisted review, continuous active learning and generative AI can affect both efficiency and cost. These tools may reduce the volume of documents requiring manual review, but their impact depends on the matter, workflow and level of human oversight.
There is no single document review billing model that works for every matter. The right approach depends on the scope, complexity and predictability of the review.
Hourly Pricing
With hourly pricing, legal teams pay based on the time spent by reviewers and other project resources.
This can work well when the scope is uncertain or likely to change. The tradeoff is predictability. If the review takes longer than expected, the total cost increases.
Legal teams should understand the rates for different resource levels and whether project management, quality control or other services are billed separately.
Per-Document Pricing
Per-document pricing bases the cost on the number of documents reviewed.
This can make budgeting easier when the review population is well defined. However, legal teams should confirm what counts as a document and exactly what the rate includes.
Does it cover one review pass? Is privilege review included? What about quality control or second-level review?
Per-GB Pricing
Per-GB pricing bases the cost on the volume of data entering the review workflow.
This can be useful early in a matter when data volume is the primary known variable. However, two matters with the same data volume can have very different document counts, file types, duplication levels and review requirements.
Data volume alone therefore may not provide an accurate picture of the work involved.
Project-Based or Fixed Pricing
Project-based pricing establishes a defined cost for a specific scope of work.
This can provide greater budget predictability when the review population, protocol, timeline and deliverables are well understood.
The key is understanding what happens if the scope changes. Additional documents, new review requirements or an accelerated deadline may affect the original project price.
Blended Pricing
Some providers use a blended approach that combines different pricing models or resource types throughout a matter.
For example, standard document review may use one pricing structure while specialized lawyer review, privilege review or quality control uses another.
Blended pricing can provide flexibility while accounting for different levels of expertise. Each component should be clearly defined so the legal team can understand how the total cost is calculated.
The best pricing model depends on what is known about the matter and where the legal team needs flexibility.
A smaller review with an uncertain scope may be well suited to hourly pricing. A well-defined review may be better suited to per-document or project-based pricing.
For larger matters requiring coordinated staffing, technology, quality control and project management, managed document review may provide greater predictability and operational control.
The important question is not simply, “Which provider has the lowest rate?”
Instead, ask:
What will the total cost be for the level of review, quality and support this matter requires?
A higher reviewer rate may still result in a lower total cost if the workflow improves efficiency and reduces rework.
Even after a review begins, several factors can change the original estimate:
The review population grows. Additional custodians, data sources or documents increase the number of records requiring review.
The review protocol changes. New issues, coding fields or legal questions require additional work.
Additional review levels are needed. Privilege, lawyer or subject-matter review can add resources.
The timeline becomes more aggressive. Accelerated deadlines may require additional staffing.
The workflow changes. New analytics, AI workflows or other technology may alter how documents are prioritized or reviewed.
Rework is required. Changes to instructions or inconsistent coding can result in additional review.
A good estimate should identify its assumptions and explain what happens when those assumptions change.
Before selecting a provider, legal teams should ask:
Getting clear answers upfront makes proposals easier to compare and can reduce unexpected costs later.
When comparing document review proposals, it can be tempting to focus on an hourly reviewer rate or per-document price.
That number is only part of the equation.
Consider the expected review population, reviewer productivity, staffing model, quality control, project management, technology, timeline and services included in the proposal.
A lower rate may not provide meaningful savings if important services are excluded or the workflow requires substantial rework. Conversely, a higher rate may deliver better value if it supports a more efficient, well-managed review.
The goal should be a pricing structure that aligns with the matter's requirements and provides a realistic picture of the total investment.
AI can change the economics of document review by helping legal teams identify relevant information and reduce the amount of manual review required.
Analytics, continuous active learning and generative AI can help prioritize documents, identify patterns and support reviewers working through large data sets.
AI does not eliminate the need for legal judgment or quality control. Its potential cost benefit depends on how it is implemented, validated and integrated into the broader review workflow.
When evaluating AI-enabled document review, ask how the technology will be used, what human oversight is provided and how it affects the review population, timeline and overall cost.
How much does document review cost?
There is no standard cost. Pricing depends on data volume, review complexity, staffing, privilege requirements, quality control, technology, timeline and the pricing model selected.
Is document review charged by the hour or by the document?
Both models are common. Providers may also use per-GB, project-based, blended or managed document review pricing.
What is included in managed document review pricing?
It depends on the provider and scope, but managed document review may include reviewer staffing, project management, quality control, technology and reporting. Confirm exactly what is included before comparing proposals.
Does AI reduce document review costs?
AI and analytics can reduce the volume of documents requiring manual review and improve efficiency. The actual impact depends on the matter, workflow, technology and level of human oversight.
What factors can increase document review costs?
Common factors include increased data volume, expanded scope, additional review levels, privilege review, accelerated deadlines, protocol changes, additional quality control and rework.
How should legal teams compare document review proposals?
Look beyond the headline rate. Compare the expected total cost, review population, staffing model, technology, quality control, project management, assumptions and what happens if the scope changes.
Is the lowest reviewer rate always the lowest-cost option?
No. Reviewer rates do not tell the full story. Productivity, staffing, technology, quality control, project management and rework can all affect the final cost.
Document review pricing is about more than the rate attached to a reviewer or the size of a data set. The right approach should account for the full review workflow, from the initial population through quality control and final production.
Before comparing providers, make sure you understand the review population, protocol, staffing model, technology, timeline and services included in the estimate.
Array can help legal teams evaluate those variables and build a managed document review approach around the needs of the matter.
Learn more about managed document review or talk with Array about review planning.