Beyond Delivery: What Makes a Managed Services Relationship Transformational?

In From Projects to Operations, we made the case that eDiscovery is becoming an ongoing operational capability rather than a series of disconnected projects. As that shift takes hold, expectations for managed services relationships are changing with it. The value of continuity is significant, but continuity alone does not create transformation. A provider can perform the same activities consistently for years without fundamentally improving how discovery work gets done. Matters can be delivered successfully, service levels can be achieved, and costs can remain relatively predictable while the underlying workflows, technologies, and operating practices remain largely unchanged.

The greater opportunity associated with managed services comes from using operational continuity as a foundation for continuous improvement. Providers that work across matters and over extended periods of time develop visibility into recurring challenges, workflow patterns, cost drivers, technology limitations, and opportunities for improvement that are difficult to identify within isolated engagements. What separates a traditional managed services relationship from a transformational one is not the services being performed, but what happens as a result of performing them over time.

From Repetition to Improvement

One of the primary advantages of a long-term managed services relationship is repetition. Teams encounter similar data sources, workflow challenges, communication requirements, review strategies, and reporting needs across matters. That repetition creates familiarity and efficiency, but its greater value may come from the opportunity to identify patterns. A recurring processing issue indicates an automation opportunity. Repeated delays at matter startup point to a problem with intake or scoping. Similar questions arising across multiple matters point to an opportunity for standardized guidance.

In a traditional delivery model, these issues are often addressed in the context of the matter where they occur. The immediate problem is resolved, the work continues, and the team moves to the next priority. A transformational operating model takes a broader view. It asks whether the issue is isolated or systemic, whether it has occurred before, and whether a change to process, technology, or governance could prevent it from recurring. This shift from resolving individual problems to improving the system that produces them is one of the defining characteristics of a transformational managed services relationship.

Measuring the Operation, Not Just the Matter

Discovery organizations have long relied on matter-level metrics. Data volumes, processing throughput, review rates, production statistics, deadlines, and costs all provide important visibility into individual engagements. These measures are critical, but they provide only part of the information required to improve an operating environment. Transformation requires visibility across matters. When operational information is evaluated collectively, organizations can begin identifying broader trends. The relevant metrics are operational, not just transactional: time from matter initiation to active review, where delays cluster, which workflows generate the most rework, which data sources create recurring processing challenges, where costs consistently exceed estimates, and which activities remain manual by default.

These questions are difficult to answer when information is fragmented across providers, platforms, and individual matter teams. A continuous managed services relationship can create the foundation for broader operational measurement by establishing common processes, consistent reporting, and greater continuity of information. Measurement for its own sake accomplishes little; the purpose of operational data is to support better decisions. Brian Stempel has written about what good cost visibility actually looks like in practice, and the same principle applies to the operation as a whole. Over time, the ability to identify trends across matters can help organizations prioritize improvement efforts, allocate resources more effectively, and determine where changes in process or technology are most likely to create meaningful value.

This is the problem Lineal built Amplify™ Command Center and Memory Bank to solve. Command Center gives clients real-time visibility into performance, utilization, and financial metrics across their portfolio rather than one matter at a time, while Memory Bank retains what each matter teaches so the next one starts smarter. Measuring the operation, not just the matter, stops being an aspiration and becomes the default reporting view.

Turning Institutional Knowledge Into Organizational Capability

Institutional knowledge is one of the most valuable outcomes of continuity, but its value depends on whether experience is converted into something the broader organization can use. Managed services teams accumulate significant knowledge over time. They learn which collection approaches work best for particular data sources, which workflows create unnecessary friction, how different case teams prefer to communicate, where quality issues are most likely to emerge, and which decisions tend to create downstream consequences. In many organizations, much of this knowledge remains informal. It resides with individuals, within email threads, or in the collective memory of teams that have worked together for extended periods. While this familiarity can improve individual engagements, it becomes substantially more valuable when it is translated into repeatable organizational capability.

That can include documented playbooks, standardized workflows, improved intake procedures, reusable templates, quality control frameworks, estimation models, communication protocols, and automated processes. Each represents a way of converting experience from prior matters into improved performance on future ones. The result is a form of operational compounding. Lessons learned during one matter improve the next. Improvements developed for one workflow can be evaluated for broader application. Recurring issues become candidates for permanent solutions rather than repeated intervention. Over time, the organization should not just become more familiar with its discovery environment. It should become better at operating within it.

Creating a Mechanism for Continuous Improvement

Transformation rarely occurs merely because organizations have worked together for a long time. Improvement requires structure. Traditional service reviews frequently focus on recent performance. Teams discuss active matters, service levels, budget performance, significant issues, and upcoming requirements. These discussions are necessary, but they are primarily retrospective and tactical.

A transformational relationship adds a forward-looking dimension. In addition to asking how the operation performed, the parties ask how it should improve. That may involve periodically reviewing recurring sources of delay, evaluating opportunities for workflow simplification, identifying activities that can be automated, assessing whether the existing technology environment remains appropriate, or examining whether new capabilities should be introduced. Improvement priorities can then be evaluated, sequenced, implemented, and measured over time.

The most useful starting points are practical: where teams spend time on repetitive manual activity, which handoffs create unnecessary delay, what information is repeatedly requested because it isn’t readily available, which quality issues recur, and where work depends on individual knowledge rather than documented process. When these questions are asked systematically, the answers frequently reveal opportunities for meaningful improvement without requiring wholesale replacement of existing systems or processes.

Technology as an Evolving Capability

Technology has always played a central role in eDiscovery, but transformational managed services require a different relationship with the technology environment. Maintaining a defined stack of tools is the baseline. The harder work is continually evaluating how technology can improve the operation. This distinction is becoming increasingly important as artificial intelligence, analytics, workflow automation, and orchestration capabilities continue to evolve. New tools are entering the market rapidly, but the presence of new technology does not automatically create better outcomes. The challenge is determining where emerging capabilities can solve real operational problems and then integrating them into workflows in a controlled and measurable way.

A continuous operating relationship creates an important advantage in this regard. Providers working across matters have greater visibility into repetitive activities, recurring bottlenecks, and areas where human effort is concentrated. Those observations can help identify practical candidates for automation and AI enablement. For example, recurring activities related to data assessment, document classification, quality control, reporting, review preparation, or matter administration may present opportunities for improvement. The appropriate response will vary by organization and workflow. In some cases, AI may materially improve the process. In others, conventional automation or process redesign may provide greater value with less complexity.

A transformational partner does more than introduce technology. The role is to help determine where technology is appropriate, integrate it into existing workflows, establish appropriate controls, measure its impact, and refine the approach based on actual results. This is particularly important with AI-enabled workflows. Responsible adoption requires more than access to a model or application. Organizations need defined use cases, validation procedures, quality controls, documentation, and clear points of human oversight. These requirements are easier to establish and maintain within a continuous operating framework than through disconnected matter-level experimentation.

Transformation Requires Shared Accountability

Continuous improvement also changes the nature of the relationship between the organization and its managed services provider. Traditional vendor relationships often divide responsibility clearly. The client defines requirements, and the provider executes against them.

Transformational relationships require greater collaboration. The provider must understand the organization’s objectives, constraints, risk tolerance, and operational priorities. The organization, in turn, must be willing to examine established processes and consider recommendations for change. Improvement becomes a shared responsibility rather than something that can be delegated entirely to either party. This does not eliminate the need for clear accountability. Service levels, performance expectations, governance structures, and escalation procedures remain essential. The difference is that success is measured not only by whether current work is completed effectively, but also by whether the operating environment improves over time. That creates a different set of questions for both organizations and providers. Are matters starting faster than they did a year ago? Are estimates becoming more accurate? Is rework declining? Are recurring quality issues being eliminated? Are manual activities being reduced? Are new technologies producing measurable improvements? Is institutional knowledge being retained and converted into better processes? A relationship that can answer these questions demonstrates value beyond successful delivery alone.

From Managed Service to a Platform for Transformation

The evolution from project-based discovery to continuous operations creates an opportunity that extends beyond efficiency and predictability. Persistent operating models create the conditions necessary for systematic improvement. Continuity gives providers visibility into patterns, and those patterns point directly to opportunities. When those opportunities are addressed through disciplined changes to process, technology, automation, governance, and organizational practice, managed services can become a platform for transformation. Not every organization will require the same level of integration, and not every managed services relationship needs to evolve in the same way. The appropriate model depends on matter volume, internal capabilities, technology environments, organizational priorities, and the level of change the organization is prepared to undertake.

The broader direction, however, is becoming increasingly clear. As discovery operations grow more complex and technology continues to evolve, organizations will need more than providers capable of executing work effectively. They will increasingly need partners capable of helping them understand how the work itself should evolve. The question is shifting from whether a provider can deliver today’s work to whether the relationship is making the organization better prepared for tomorrow’s.

Ready to look at what improvement over time should mean in your discovery operation? Talk to our Managed Services team.

__

About Author

Scott Cohen is an Executive Vice President at Lineal. A forward-thinking legal technologist and innovator, Scott drives the evolution of legal practice through AI, data analytics, and automation. At Lineal, he leads the strategy behind Amplify™ and the managed services teams that operate it across litigation, investigations, and regulatory matters. A sought-after advisor, writer, and speaker, Scott covers topics ranging from generative AI in legal practice to technology leadership in law firms.

__

About Lineal 

Lineal is an innovative eDiscovery and legal technology solutions company that empowers law firms and corporations with modern data management and review strategies. Established in 2009, Lineal specializes in comprehensive eDiscovery services, leveraging its proprietary technology suite, Amplify™  to enhance efficiency and accuracy in handling large volumes of electronic data. With a global presence and a team of experienced professionals, Lineal is dedicated to delivering custom-tailored solutions that drive optimal legal outcomes for its clients. For more information, visit lineal.com