Insights Articles

Mapping the Modern eDiscovery Workflow: Know Your Risk Points at Every Stage

Written by Julia Helmer, Director of Client Solutions | Oct 23, 2025 1:00:00 PM

In today’s litigation landscape, data is both a critical asset and a potential source of risk. Successfully navigating the eDiscovery process requires more than just collecting and reviewing documents. It demands a thorough understanding of the eDiscovery workflow and the discovery lifecycle, along with a keen awareness of risk points at every stage. For law firms and corporate legal teams, integrating these insights into operations, particularly through legal ops leadership, can mean the difference between a smooth, defensible project and costly delays or compliance missteps. 

 

Understanding the Modern eDiscovery Workflow 

A modern eDiscovery workflow encompasses all phases of the discovery lifecycle, from data identification to final document production. Each stage carries distinct responsibilities, technologies, and potential risks. Mapping these stages clearly is essential for teams looking to optimize efficiency, maintain defensibility, and reduce operational overhead. 

 

1. Data Identification and Early Case Assessment 


The first step is understanding what data exists, where it resides, and how it should be managed. Poor information governance can lead to overlooked data, missed deadlines, or compliance breaches. At this stage, legal strategy teams should identify custodians, data sources, and relevant topics, while legal ops professionals ensure that governance frameworks align with organizational and regulatory standards. 

 

2. Preservation and Collection 


Preservation safeguards potentially relevant electronically stored information (ESI), while collection ensures that data is gathered defensibly and completely. Risk points here include accidental deletion, incomplete collection, and metadata spoliation issues. Advanced workflows often incorporate automated notices and centralized tracking to reduce human error. 

 

3. Processing and Filtering 


Processing prepares collected data for review by de-duplicating files, extracting metadata, and converting documents into readable formats. At this stage, errors can lead to missing critical documents or misinterpreting data, making careful planning and validation crucial. Incorporating analytics or early search strategies can highlight high-priority data efficiently and quickly. 

 

4. Document Review 


The review phase is typically the most resource-intensive and expensive part of the eDiscovery process. Legal teams examine documents for relevance, privilege, confidentiality and privacy. Risk points include inconsistent coding, reviewer bias, and missed deadlines. Leveraging technology-assisted review (TAR) and robust workflow management ensures accuracy while reducing review time and costs. 

 

5. Analysis and Case Strategy 


Beyond identifying relevant documents, teams must uncover patterns, trends, and relationships in the data. Analysis informs litigation strategy, highlights potential strengths and weaknesses, and provides insights that can influence settlement discussions or trial preparation. The risk here lies in incomplete analysis or misinterpretation of key information. 

 

6. Production and Delivery 


Producing documents to opposing counsel or regulators requires precision. Documents must be formatted correctly, metadata preserved, and delivery secure. Missteps at this stage can lead to sanctions, disputes, or compliance issues. Clear Standard Operating Procedures (SOPs) and technology solutions help mitigate these risks. 

 

7. Presentation and Post-Review Insights 


Finally, data may be used in deposition, mediation, or trial. Clear, defensible presentation of evidence enhances credibility and supports case outcomes. Legal ops teams play a critical role in documenting processes and ensuring lessons learned are fed back into future litigation workflow improvements. 

 

Why Risk Mapping Matters 

Understanding risk points across the eDiscovery workflow allows legal teams to be proactive in addressing potential pitfalls rather than react to crises. Some benefits include: 

 

  • Defensible and repeatable processes: Reduces exposure to sanctions and regulatory scrutiny. 
  • Operational efficiency: Streamlines review, analysis, and production, reducing costs and timelines. 
  • Cross-team alignment: Provides a shared roadmap for attorneys, paralegals, IT, and legal ops. 
  • Data-driven improvements: Continuous monitoring identifies bottlenecks and informs workflow refinements. 
Visualizing the Workflow 

A modern eDiscovery workflow is often best understood visually. Mapping each stage, with associated risks, responsibilities, and checkpoints, creates a clear picture of the eDiscovery process from start to finish. Teams can use flowcharts, dashboards, or project management tools to monitor progress and maintain accountability. 

 

Integrating Legal Ops into Workflow Success 

Legal ops professionals are uniquely positioned to optimize workflows across the discovery lifecycle. By establishing repeatable processes, implementing technology solutions, and tracking metrics, they help legal teams reduce administrative burden and improve outcomes. For legal teams seeking efficiency, embedding legal ops into the eDiscovery workflow is no longer optional – it’s essential. 

 

Final Thoughts 

Mapping the modern eDiscovery workflow, and identifying risk points at every stage, is critical to running efficient, defensible, and cost-effective litigation projects. From governance and preservation through review, analysis, and production, understanding the flow of data and potential pitfalls empowers legal teams to operate strategically rather than reactively. 

 

At Array, we help law firms and in-house teams design and implement comprehensive eDiscovery workflows. Our expertise, technology solutions, and operational support ensure each stage of the discovery lifecycle is managed with precision, allowing legal teams to focus on case strategy, confident in the knowledge that their processes are defensible, scalable, and efficient.