Executive Summary
In modern discovery, speed is no longer a differentiator. It is an expectation. Artificial intelligence has made it possible to process and analyze vast volumes of data in a fraction of the time once required. Yet many review workflows still rely on a familiar model. Data is processed, documents are loaded, and then a review team begins coding from the top of a queue.
This approach overlooks a critical opportunity. The most valuable decisions in a review are often made before the first document is ever coded by the broader team. The first 48 hours after data ingestion set the direction, efficiency, and ultimate success of the entire project.
This early phase, often underutilized, is what can be called the “Pre-Review Sprint.” When guided by a Managing Attorney and supported by AI, it transforms the review from a linear exercise into a focused, strategic effort. It reduces noise, surfaces key issues early, and positions the review team to move with clarity and purpose.
In the Age of AI, the “First Pass” Starts in Processing
Traditionally, the “first pass” in document review referred to the initial wave of human reviewers coding documents for relevance and privilege. That definition no longer reflects how modern workflows operate.
Today, the first meaningful pass happens much earlier. It begins during processing and early data analysis, when AI tools can rapidly assess content, identify patterns, and prioritize documents. At this stage, decisions about how data is structured, filtered, and surfaced will shape everything that follows.
If this phase is treated as a technical formality, the review inherits inefficiencies from the start. Large volumes of low value material remain in the queue. Critical documents may be buried. Privilege risks may go unnoticed until late in the process.
By contrast, when a Managing Attorney leads this phase, the first pass becomes intentional. AI is used not just to organize data, but to interrogate it. Early insights are captured and used to guide the review before momentum builds in the wrong direction.
The Cost of Skipping the Sprint
It is tempting to move quickly from processing to full scale review. Deadlines are tight, and getting reviewers into the platform can feel like progress. However, skipping the Pre-Review Sprint often leads to predictable challenges.
Review teams spend time on documents that have little or no relevance. Key issues emerge late, requiring rework or additional review cycles. Privilege determinations become inconsistent because foundational guidance was not established early.
These inefficiencies compound over time. What begins as a small lack of direction in the first days can become a significant delay weeks later. Teams may find themselves rushing to meet deadlines, increasing the risk of errors and reducing overall confidence in the production.
The irony is clear. In an effort to save time at the outset, time is lost across the entire lifecycle of the review.
Managed Priority
The Pre-Review Sprint is where Managed Priority comes into play. At Trustpoint, Managing Attorneys take an active role in the earliest stages of the workflow, using AI to triage data before it reaches the broader review team.
This process focuses on identifying two critical categories of documents early.
First, potential “smoking gun” documents. These are high value materials that may shape case strategy, inform early negotiations, or require immediate attention from counsel. AI can surface candidates quickly, but it takes legal judgment to confirm their significance and context.
Second, complex privilege issues. Privilege is rarely straightforward. It often depends on subtle factors such as communication context, participants, and intent. By isolating likely privileged documents early, Managing Attorneys can establish clear guidance and reduce the risk of inconsistent coding later.
This upfront triage serves a simple but powerful purpose. It ensures that the review team is focused on what matters most, rather than working through large volumes of undifferentiated data.
How the Pre-Review Sprint Works
A well executed Pre-Review Sprint is structured, deliberate, and time bound. While the specifics may vary by matter, the core elements remain consistent.
Early Data Assessment
As soon as data is processed, the Managing Attorney begins analyzing it using AI tools. This includes reviewing communication patterns, keyword clusters, and document types to understand the overall landscape.
Targeted AI Triage
AI is used to prioritize documents based on likely relevance, privilege, and issue alignment. Rather than generating a static queue, the system creates a dynamic view of the data, highlighting areas that require immediate attention.
Focused Attorney Review
The Managing Attorney conducts a targeted review of high priority documents. This is not a volume exercise. It is a strategic assessment aimed at identifying key themes, risks, and opportunities.
Protocol Development
Insights from this early review are translated into clear guidance for the broader team. Coding protocols, issue tags, and privilege rules are refined to reflect what has been learned.
Queue Optimization
The review queue is structured to surface high value documents first, while deprioritizing or excluding low value material where appropriate.
By the time the general review team begins coding, they are not starting from scratch. They are entering a workflow that has already been shaped by expert analysis.
The “Butts in Seats” Save
One of the most common concerns about introducing additional steps at the outset is that it may slow down the review or require more resources. In practice, the opposite is true.
The Pre-Review Sprint does not reduce the size of the review team. It makes the team more effective.
By removing clutter from the queue, reviewers spend less time on irrelevant material. By establishing clear guidance early, they make decisions with greater confidence and consistency. By surfacing key issues upfront, the team avoids late stage surprises that can derail timelines.
This is the “butts in seats” save. You are not cutting personnel. You are ensuring that every hour of review time is spent productively. The team moves faster because it is not forced to navigate unnecessary noise.
In many cases, this approach also improves reviewer morale. Clear direction and meaningful work create a more engaged and focused team environment.
From Linear Review to Strategic Execution
Traditional review models are linear. Documents are reviewed in sequence, and insights accumulate gradually. While this approach can work, it often delays the discovery of critical information and limits the ability to adapt.
The Pre-Review Sprint introduces a different model. It front loads insight and uses that knowledge to guide the entire process. Review becomes less about moving through a queue and more about executing a strategy.
This shift has several benefits. Legal teams gain earlier visibility into the strengths and risks of their case. They can adjust their approach based on real information rather than assumptions. They are better positioned to meet deadlines without sacrificing quality.
Most importantly, the review becomes proactive rather than reactive.
Conclusion
In the era of AI, the definition of efficiency has changed. It is no longer enough to review documents quickly. The goal is to review the right documents, in the right order, with the right context.
The first 48 hours of a matter offer a unique opportunity to set that direction. When guided by a Managing Attorney and supported by AI, this period becomes the foundation for everything that follows.
The Pre-Review Sprint ensures that the review team is not overwhelmed by volume or distracted by noise. It aligns effort with priority and transforms the review into a focused, strategic process.
In the end, success in discovery is not determined solely by how many documents are reviewed. It is determined by how effectively the work is organized from the very beginning.
Frequently Asked Questions
What is a Pre-Review Sprint in eDiscovery?
A Pre-Review Sprint is a focused, early-stage period after data ingestion in which a Managing Attorney uses AI and targeted analysis to assess the data, identify high-priority documents and issues, establish review guidance, and optimize the workflow before the broader review team begins coding at scale.
Why are the first 48 hours of an eDiscovery project so important?
Early decisions about data assessment, prioritization, privilege, coding protocols, and review strategy can influence the efficiency and defensibility of the entire project. Addressing these issues early can prevent unnecessary review, reduce rework, and help teams avoid late-stage surprises.
What role does AI play in the Pre-Review Sprint?
AI can rapidly analyze large data populations, identify communication patterns and keyword clusters, prioritize potentially relevant or privileged documents, and surface high-value material. A Managing Attorney then applies legal judgment to interpret those results and determine how they should influence the review strategy.
What are “smoking gun” documents in eDiscovery?
“Smoking gun” documents are potentially high-value materials that may significantly affect case strategy, negotiations, or litigation decisions. AI can help identify candidates quickly, while attorneys evaluate their legal significance, context, and reliability.
Why should privilege issues be addressed early in document review?
Privilege determinations can depend on communication context, participants, intent, and other nuanced factors. Identifying potential privilege issues during the early sprint allows Managing Attorneys to establish clearer guidance and reduce inconsistent coding or costly rework later in the review.