Insights Articles

Is AI Document Review Defensible?

Yes, AI document review can be defensible when it is part of a well-designed review workflow that includes human oversight, quality control, validation, documentation, and matter-specific protocols.

Artificial intelligence is changing how legal teams approach document review. From prioritizing potentially relevant documents to identifying patterns and generating summaries, AI tools can help review teams manage large volumes of information more efficiently.

However, efficiency alone is not the goal.

For litigation counsel, eDiscovery managers, and review managers, the most important question is not simply whether AI can review documents. The question is whether the process behind that review can withstand scrutiny if challenged.

AI document review is not inherently defensible or indefensible. Defensibility comes from how the technology is implemented, monitored, and integrated into the broader review process.

A strong AI-assisted review workflow combines experienced legal professionals, clearly documented procedures, appropriate quality control, and transparent decision-making. AI becomes another tool within a larger review strategy. It is not a replacement for legal judgment.

Defensibility Starts With the Workflow, Not the Technology

One of the biggest misconceptions about AI document review is that selecting an advanced technology platform automatically creates a defensible process.

It does not.

Just as technology-assisted review (TAR) requires thoughtful implementation and validation, today's AI tools require careful planning, oversight, and documentation.

A defensible AI review process should be able to answer questions such as:

• Why was AI used for this matter?
• Which review tasks were supported by AI?
• How were AI-generated contributions vetted and validated?
• What quality control measures were performed?
• How were reviewer decisions documented?
   
  

  When these questions can be answered clearly, AI can support a defensible and transparent review workflow.

What Makes AI Document Review Defensible? 

While every matter has unique requirements, defensible AI review generally includes several core components.

1. Clearly Defined Objectives

Before introducing AI into a review workflow, legal teams should establish what they want the technology to accomplish.

Examples include:

• Prioritizing and classifying potentially relevant documents
• Identifying potentially privileged content and generating privilege log descriptions
• Organizing similar documents or concepts
• Generating summaries to support reviewer efficiency
• Surfacing important communications or issues for additional review

When AI has a defined purpose, teams can better evaluate whether the technology is supporting the intended outcome.

2. Human Oversight Remains Essential

One of the most important principles of AI-assisted review is that attorneys and review professionals remain responsible for legal decisions.

AI can assist reviewers, but it does not replace legal analysis.

Human expertise remains critical for:

• Understanding case strategy 
• Evaluating privilege considerations 
• Interpreting context and intent 
• Resolving ambiguities 
• Applying matter-specific review decisions 

Human oversight also helps identify situations where AI recommendations should be accepted, rejected, or escalated for additional review.

The strongest AI workflows use technology to reduce repetitive tasks while allowing legal professionals to focus on the decisions that require judgment and experience.

3. Validation and Quality Control

Validation helps demonstrate that AI-assisted review decisions are reliable and consistent.

Quality control measures may include:

• Sampling AI-assisted decisions 
• Conducting second-level review  
• Utilizing AI-generated categories to prioritize human QC
• Performing privilege validation 
• Reviewing exceptions and escalations 

Rather than assuming AI outputs are correct, legal teams should continuously evaluate performance throughout the review process.

A defensible AI review workflow is built on transparency and measurable quality controls.

4. Matter-Specific Workflows

Every litigation matter has different goals, risks, timelines, and data challenges.

An effective AI legal review workflow should account for:

• Case complexity
• Types of data being reviewed
• Risk tolerance
• Privilege requirements
• Regulatory considerations

AI-assisted review can be subject to jurisdiction-specific constraints which govern Electronically Stored Information protocols for legal matters. Legal teams should understand whether the applicable court, jurisdiction, or governing rules place limitations or requirements on the use of AI in discovery and document review. Staying current on local court rules, orders, and guidance can help teams determine how AI should be incorporated into a particular matter and what documentation or oversight may be appropriate.

AI should adapt to the matter, not the other way around.

A skilled eDiscovery provider helps legal teams determine where AI can create value and where additional human review or traditional workflows may be more appropriate.

Where Human Oversight Fits in AI-Assisted Review

A common concern among legal teams is whether AI reduces the role of attorneys and reviewers.

In practice, effective AI-assisted review relies on experienced professionals throughout the process.

Human oversight is especially important during several stages of review. AI-assisted review can be very flexible when leveraged in tandem with human oversight: it can help bridge gaps in repetitive workflows so that reviewers can focus on priority items, it can classify documents into useful categories for review, or it can provide QC-ready results in a short timeframe.

Workflow Design

Experienced consultants help determine where AI can provide value and how it should be incorporated into the review strategy.

Review Validation

Review managers monitor AI-assisted decisions, evaluate performance, and adjust workflows when necessary.

Privilege Decisions

Privilege determinations require legal judgment and should remain under attorney oversight. AI-assisted privilege review can be useful for creating categories or descriptions for prioritized attorney review.

Escalation Management

Documents involving complex issues, potential risks, or unexpected findings should move through clearly defined escalation procedures.

AI can help accelerate review, but experienced professionals ensure the process remains accurate, transparent, and defensible. 

What Legal Teams Should Document When Using AI in Review

Documentation is one of the strongest indicators of a defensible review process.

If a review workflow is challenged months or years later, legal teams should be able to explain how decisions were made and why the process was reasonable.

Legal teams should document:

• Review objectives
• AI tools used
• Workflow design
• Reviewer instructions
• Validation methodology
• Quality control procedures
• Exception handling processes
• Privilege protocols
• Escalation procedures
• Final production decisions
   
  

  Good documentation creates transparency and demonstrates that review decisions were made through a thoughtful, repeatable process.

Questions to Ask an AI Review Provider

When evaluating a provider offering AI document review, legal teams should look beyond claims about speed or automation.

The right questions focus on process, oversight, and defensibility.

How is AI incorporated into the review workflow?

A provider should explain which review tasks can be supported by AI and how those workflows are managed.

What level of human oversight is included?

Ask who reviews AI-assisted decisions, how quality is monitored, and where legal professionals remain involved.

How are AI results validated?

A provider should be able to explain sampling methods, quality control procedures, and how performance is measured.

How are workflows documented?

Documentation should explain how AI was used, how decisions were made, and how results were reviewed.

How does the provider tailor AI workflows to each matter?

AI should support the legal team's objectives rather than forcing every matter into the same process.

What reporting is available?

Strong reporting provides visibility into review progress, quality metrics, workflow performance, and potential issues.

Review Intelligence: Combining AI with Legal Expertise

The future of document review is not about replacing legal professionals with technology. It is about combining advanced tools with experienced people and proven processes.

Array Review Intelligence approach brings together AI-assisted review, Continuous Active Learning (CAL), generative AI capabilities, quality control, and experienced review professionals to help legal teams build efficient and defensible workflows. 

Rather than treating AI as a standalone solution, Array integrates technology into a broader review strategy designed around each matter's goals, complexity, and risk profile.

This approach gives legal teams flexibility in determining how AI should support their review process while maintaining transparency, control, and defensibility.

Learn more about Array Review Intelligence or speak with our team about building a defensible AI-assisted review workflow for your next matter.

Final Thoughts: AI Is Only as Defensible as the Process Behind It

Artificial intelligence is changing document review, but technology alone does not create a defensible process.

The strongest AI-assisted review workflows combine technology, experienced professionals, quality controls, and transparent processes.

For legal teams evaluating AI document review, the goal should not be simply adopting the newest technology. The goal should be building a review process that improves efficiency while maintaining confidence, control, and defensibility.

Array helps law firms and corporate legal teams develop practical, defensible review workflows by combining advanced AI capabilities with experienced professionals and proven eDiscovery processes.

Learn more about Array Review Intelligence or speak with Array about your next defensible review workflow.