THE BREAKING FREE SERIES
How Modern Infrasructure Trends are Disrupting the eDiscovery Marketplace
By George Nedwick / CEO & Founder of GeorgeJon / July 2026
The Breaking Free Series is an examination of the infrastructure and cost trends reshaping eDiscovery economics:
- Why cloud elasticity has not fully materialized for eDiscovery users
- Why recurring costs and feature bloat are creating pressure
- Why cost remains the primary driver for both vendors and direct buyers.
- Why multi-year commitments are a poor fit for unpredictable demand
- How AI and data reduction are changing where savings can be found
- Why portability may create new leverage for buyers evaluating their options
Along the way, we will map these trends across the buyer landscape, including vendors, managed service providers, corporations, and law firms, and highlight the gaps and opportunities emerging across the market.
The eDiscovery market is ready for a different conversation.
1. The Market is Ready to Move
The eDiscovery market has always evolved alongside broader shifts in business computing.
Over the last 20 years, platforms have changed repeatedly in how they are delivered, operated, and optimized. Each shift has created new methodologies, new capabilities, and new questions about what truly benefits clients.
As discussed in The Journey Continues: The Transformation of eDiscovery Platforms, the market is diversifying. The rush to put everything in the cloud is slowing for one major reason: cost.
Clients of eDiscovery are paying more, not less.
That is the market reality many legal teams, vendors, managed service providers, and technology leaders are facing today. The cloud was supposed to bring elasticity to the users of eDiscovery platforms. It was supposed to help organizations scale more easily, control infrastructure burden, and better align cost with actual demand.
But in practice, that flexibility has not fully reached the people buying and using eDiscovery capability.
Costs continue to rise, driven by recurring charges, storage fees, and expanding platform features. Many of those features may be useful in certain situations, but a given client may never use all of them. The result is a market where buyers feel the price going up while the value they actually consume does not always keep pace.
For both major buyer types, the pressure is real.
Vendors and managed service providers buy capacity and resell it. Direct buyers, including corporations and law firms, purchase eDiscovery capability for their own use. Their positions are different, but the common driver is the same: cost.
The Promise and the Problem
The promise of cloud-based eDiscovery was flexibility.
In other areas of enterprise technology, the cloud has delivered meaningful elasticity. Organizations can often scale resources up or down, adjust usage, and match spend more closely to business needs.
eDiscovery has not worked that cleanly.
The users of eDiscovery platforms often face recurring charges that continue regardless of how active a matter is. Storage costs accumulate. Platform costs grow. Feature sets expand. And buyers are left trying to connect rising spend to the value they are actually receiving.
This matters because eDiscovery demand is not predictable.
Data volumes vary widely. Matter timing changes. Processing demands can spike without warning. A quiet period can quickly become a major collection, urgent review, or production deadline.
That unpredictability shapes everything about how the market buys and prices eDiscovery capability.
It also makes rigid cost models harder to defend.
A Market Ready for Disruption
The same infrastructure trends reshaping enterprise IT are now arriving in eDiscovery.
Hybrid deployment, containerization, AI-assisted operations, and newer platform architectures are changing what buyers can expect from technology. These trends create new ways to think about cost, control, flexibility, and operational advantage.
Organizations that understand these shifts early will be better positioned to act.
They will be able to ask better questions about what they are paying for, what they actually use, where costs are accumulating, and where more flexible options may exist.
At the same time, eDiscovery has its own realities.
Data is messy. Demand is uneven. Processing needs are difficult to forecast. Legal workflows must remain defensible. The market cannot simply copy infrastructure models from other industries and expect them to work without adjustment.
That is why modernization in eDiscovery is not just about technology.
It is about matching technology, cost, and operational reality more effectively than the current model allows.
2: The Broken Cost Model
Costs are rising. Demand is unpredictable. And the flexibility promised by cloud-based platforms has not fully reached the people actually using and paying for eDiscovery capability.
That pressure leads directly to the broken cost model.
For many buyers, eDiscovery economics do not work the way they expected. The cloud was supposed to help organizations scale more easily and align spend with actual usage. In practice, many users still face premium pricing, recurring storage costs, and limited flexibility to adjust spend as matters change.
The result is a market where buyers are asking not only what platform they should use, but whether the underlying cost structure still makes sense.
The Cloud Did Not Deliver Elasticity
The enterprise move to the cloud delivered real benefits in many domains. Organizations gained faster access to technology, reduced infrastructure ownership, and more flexible ways to manage capacity. In eDiscovery, though, the users of these platforms have not seen the elasticity they were promised.
Instead, many buyers face premium pricing and recurring storage costs without the ability to scale their spend cleanly to actual usage. A matter may slow down, but storage charges continue. Data may no longer be active, but it still carries cost.
The elasticity story has largely not reached the people who use eDiscovery platforms. That is one of the clearest disconnects in the market. The value of the cloud is real. But for many eDiscovery users, the economics still feel fixed, recurring, and difficult to control.
The Visibility Problem Drives Buyers to Vendors
A major part of the problem is visibility. eDiscovery cloud platforms charge premium rates and recurring costs for storage, but the users often do not have clear insight into their own actual data volumes. Without that visibility, buyers cannot easily predict or control their costs.
They may not know how much data they are carrying across active and inactive matters. They may not know how quickly storage is accumulating. They may not know which volumes are driving the most cost. And they may not be able to forecast what future matters will require.
That uncertainty makes direct platform ownership risky for many buyers. It is also one of the reasons many eDiscovery users turn to vendors and managed service providers instead.
Vendors absorb some of that uncertainty by buying capacity in advance and reselling it across many clients. They are betting that they can recover their costs across a broader base of matters, users, and demand.
For direct buyers, this can reduce the burden of owning the full platform commitment themselves. But the uncertainty does not go away. It moves through the market.
The Two Buyers and Their Different Positions
The eDiscovery market has two primary purchasers, and they sit in different positions relative to this risk.
The first group is vendors and managed service providers. These organizations buy capacity in advance and resell it. They take on capacity risk deliberately as part of their business model. Their goal is to recover those costs across many clients and matters.
When utilization is strong, the model can work. When demand falls short, unused capacity becomes cost with no offsetting revenue.
The second group is direct buyers, including corporations and law firms. These organizations purchase eDiscovery capability for their own use. They face the same visibility and cost challenges, but their options depend heavily on scale.
A large enough direct buyer may be able to maintain a smaller owned footprint and lean on vendors for excess capacity, surge demand, or specialized support. That blended model can create more flexibility than full ownership alone.
But many direct buyers do not have the scale, predictability, or internal visibility to make that model easy. That is why the broken cost model matters across the entire market.
Vendors are managing capacity risk. Direct buyers are managing visibility risk. Both are responding to the same underlying pressure: eDiscovery demand is unpredictable, but many of the costs remain recurring, premium, and difficult to align with actual usage.
The broken cost model is not just a pricing issue. It shapes how buyers manage risk, how vendors manage capacity, and how the market thinks about flexibility.
That pressure becomes even greater when buyers are locked into long-term commitments they cannot easily change. We’ll look at the multi-year commitment problem and why unpredictable demand makes rigid platform agreements harder to defend.
Cost pressure is only part of the problem.
3: The Multi-Year Commitment Problem
We’ve looked at The Broken Cost Model in eDiscovery: premium pricing, recurring storage costs, limited visibility, and the gap between promised elasticity and actual user flexibility.
That issue becomes even harder to manage when buyers are locked into multi-year commitments.
For many organizations, the frustration is not only that costs are rising. It is that they have limited ability to change course once a platform commitment is signed.
Legacy Platforms, Legacy Economics
The dominant eDiscovery platforms were built when the technology landscape looked very different.
Architecture decisions made a decade or more ago are now embedded in these systems. Over time, that technical debt limits flexibility, drives up cost, and slows innovation.
Many platforms were retrofitted for cloud operation rather than designed for it from the beginning. That does not mean they lack value. But it does mean buyers may be paying for platform complexity, legacy architecture, and features they may never use.
The result is a familiar problem: buyers inherit the economics of systems they did not design.
Multi-Year Commitments With No Easy Exit
A significant source of frustration in the eDiscovery market is the multi-year commitment model used by dominant vendors.
Once these contracts are signed, buyers generally cannot exit them easily. They are committed for the full term, commonly three years, regardless of changing needs, better pricing, or better technology entering the market.
That model might work better in a predictable environment.
But eDiscovery is not predictable.
Data volumes, matter timing, and processing demands vary widely. A buyer may commit to years of capacity based on assumptions that no longer match actual demand six months later.
In that kind of market, locking in years of spend in advance rarely matches what the buyer actually needs.
The Reseller Squeeze
The multi-year model also creates strain for vendors and managed service providers.
Resellers often license capacity in advance and then resell it across clients. That means they carry the financial risk that client demand will be strong enough to cover the commitment.
When demand materializes, the model can work.
When it does not, unused capacity becomes pure cost with no offsetting revenue.
This creates a squeeze. Resellers need enough capacity to serve clients, but they also need enough flexibility to protect margin when demand shifts.
The same market trends that pressure resellers also give them reason to rethink their platform dependencies. If buyers are looking for more flexibility, vendors and managed service providers will need to consider how their own commitments affect the flexibility they can offer.
Why This Matters
The multi-year commitment problem matters because it suppresses competition and reduces buyer leverage.
When buyers cannot easily move, renegotiate, or test alternatives, the market becomes less responsive.
Better pricing, better technology, or better deployment models may exist, but locked-in buyers have limited ability to act.
That is why timing matters.
The end of a commitment can become a critical decision point. Buyers that understand their options before renewal are in a stronger position than those that wait until the next contract is already in motion.
Next, we’ll look at where AI and data reduction create the win, and why the real savings opportunity goes deeper than review automation alone. Lock-in limits leverage. Let’s look at where the real opportunity for durable savings begins.
4: Where AI and Data Reduction Create the Win
We just looked at how multi-year commitments can lock buyers and resellers into cost structures that do not always match real demand.
That raises the next question: where can the market actually find meaningful savings?
AI is part of the answer. But it is not the whole answer.
AI Reduces the Review Burden
Introducing AI into the eDiscovery workflow can reduce a large part of the document review effort.
That matters because review has traditionally been one of the most labor-intensive and expensive phases of eDiscovery. Reducing manual review time can create real savings, especially when large document populations need to be assessed quickly and consistently.
AI-assisted review is one of the clearest near-term wins from modern technology in eDiscovery.
It can help teams prioritize documents, reduce review volume, and focus human effort where judgment is most needed.
This is a genuine and growing source of savings.
Processing and Data Volume Remain the Hard Cost
Even as AI reduces review costs, data processing remains a major cost component.
The reason is simple: the volume of data does not shrink just because review becomes more efficient.
Organizations still need to collect, process, host, analyze, and manage large data sets. Processing cost continues to scale with data volume, and that volume remains significant regardless of how much review effort can be reduced later in the workflow.
That is where the durable cost problem lives.
AI may reduce the burden of review, but it does not automatically solve the underlying cost of processing massive datasets.
If the same volume of data still enters the system, many of the same cost pressures remain.
The Real Win: Reduce Data Size or Reduce Processing Cost
The meaningful opportunity is to reduce data size before processing, or to reduce the cost of processing itself.
That is where a real and lasting economic advantage can be built.
Reducing data size before processing directly lowers one of the largest cost drivers. Less data moving into the workflow means less data to process, host, review, manage, and carry over time.
Lowering the cost of processing itself is equally valuable. If organizations can process data more efficiently, they can attack the cost problem closer to its root.
This lever is different from review automation.
Review automation can reduce a major downstream cost, but data reduction and processing efficiency address the economics earlier in the lifecycle.
That is why they matter so much.
Why This Matters
AI will continue to change eDiscovery, but the biggest savings will not come from AI alone.
The durable advantage will come from combining smarter review with better data reduction, more efficient processing, and a clearer understanding of where cost is actually created.
As the market becomes more cost-conscious, buyers will look beyond surface-level efficiency. They will ask whether their workflows reduce the volume of data entering the system, whether processing costs can be lowered, and whether savings are happening early enough to change the overall economics.
AI may change review, but the bigger savings story starts earlier.
Next, we’ll look at portability and why the freedom to choose may become one of the market’s most important sources of buyer leverage.
5: Portability and the Freedom to Choose
We looked at where AI and data reduction create the real opportunity for durable savings.
That leads to another important question: what happens when buyers want to act on those opportunities, but feel trapped by the platform they are already using? This is more than just moving from one vendor to another, it is switching from one software platform to a completely different one to access capabilities and cost savings.
That is where portability begins to matter.
A major barrier to eDiscovery platform switching is confidence. Informed buyers worry that moving active matters between platforms could result in lost documents, altered metadata, defensibility risks, or chain-of-custody problems.
Those concerns are legitimate.
eDiscovery data does not move cleanly on its own. Matters are complex, metadata matters, workflows must remain defensible, and the staff using the platforms need to be comfortable with the transition. The risk of disruption is real.
The Core Concept
The value of portability is not in pretending migration is simple.
The value is in making the move safe, documented, and defensible, with realistic expectations about what a migration can and cannot guarantee.
Just as with machine language translation, using a system without a human expert produces awkward results. This is why portability has to be human led as a service. Portability as a Service wraps professional migration expertise, validation, and careful tracking around the process of moving eDiscovery projects between platforms.
When done right, portability will initially increase costs in the short term, and the longer-term gains deliver the value. Portability cannot be a push-button tool. That distinction matters.
Real world data has exceptions, platform differences, and workflow dependencies. A responsible portability approach does not promise perfection. It uses a mature process to document completeness, surface discrepancies, track movement, and manage the transition carefully.
What Makes Portability Viable
Portability becomes viable when it is supported by the right methodology.
One that includes validation steps covering completeness and discrepancies, rather than promising that the new platform will handle every item the same way. It also includes audit trails that track data through the migration so nothing is silently missed.
Expertise matters here because platforms do not always handle data, metadata, processing outputs, indexing, and review structures the same way. Knowing those differences is part of what makes a migration defensible.
Transition management also matters. A transition could also involve a planned overlap where new projects start on the new platform. Older projects finish on the legacy platform, then get archived or migrated. For active matters, the goal is not just to safely move data. The goal is to avoid unnecessary disruption for the teams reviewing, analyzing, and producing that data.
The Timing Advantage
Buyers are best positioned to consider alternatives as they approach the end of a multi-year platform commitment.
That is when leverage is highest and the penalty for change is lowest.
In the final year of an existing commitment, portability can give buyers real options. They can use it to evaluate alternatives, renegotiate from a stronger position, or ultimately move to a different platform.
Without portability, eDiscovery buyers may feel like their only practical option is to renew. With portability, the conversation changes.
The freedom to choose does not mean every buyer should move. It means buyers should have the ability to compare, evaluate, and make decisions based on cost, performance, support, and fit.
Portability changes leverage because it changes what is possible.
Next, we’ll look at what it really takes for buyers to switch platforms, and why cost may start the conversation, but confidence is what gets the decision over the line.
6: What It Takes for Buyers to Switch
We looked at portability and why the ability to move between platforms can change buyer leverage.
But portability alone does not make a buyer switch.
The decision to change platforms is driven first and foremost by cost. That is the primary lever. Buyers do not move simply because something new exists. They move when the current environment becomes too expensive, too rigid, or too difficult to justify continued use.
Comfort and confidence do not replace cost as the driver. They reinforce it.
A buyer will not move for comfort alone.
But a cost-motivated buyer may hesitate without confidence.
Cost Leads, Confidence Reinforces
Cost savings that are real, documented, and predictable are the leading motivator. This is reflected today in the growing number of RFPs for eDiscovery services that have become part of the procurement process.
Buyers need to understand where savings will come from, whether those savings can be measured, and whether the new platform gives them more flexibility. Flexibility here is not just what the platform is able to do, it is the direct ability to impact costs.
Flexibility matters because eDiscovery demand rarely follows a clean forecast. Buyers want the ability to scale spend to actual usage rather than remain locked into a fixed commitment that may not match future needs.
Other motivators also matter, such as the relationship aspect.
Frustration with incumbent vendor responsiveness, inflexibility, or support quality can create momentum. Pressure from finance or operations leadership can force a closer look at technology spend. Approaching the end of a commitment creates a natural decision point.
But cost remains the reason the conversation starts.
The Barriers Are Real
Even when the cost case is strong, buyers still hesitate.
They worry about lost or missed data during migration. They worry about workflow disruption for active review teams. They worry about the learning curve for staff and the risk of moving to something unfamiliar.
They may also lack the internal expertise to evaluate alternatives objectively. That creates doubt.
The status quo may be expensive or imperfect, but it is known. For many buyers, known risk feels safer than unknown change.
That is why switching requires more than a better price. It requires a process that lowers uncertainty.
Lowering the Risk
A vendor-neutral evaluation framework can reduce guesswork by giving buyers a documented way to compare options.
A validated, expert-managed migration approach can address data integrity concerns.
Platform-agnostic expertise can help buyers understand the tradeoffs of each path, rather than pushing the decision toward one preferred vendor or platform.
Managed transition services can reduce workflow disruption.
And ongoing support can give buyers confidence that they will not be alone after the move.
This is what makes switching possible.
Not pressure alone. Not savings alone. Not technology alone.
The buyer needs a reason to move and a trusted path to get there.
When cost leads and confidence reinforces, change becomes more realistic.
Next, we’ll discuss where the eDiscovery market is going and why the forces reshaping cost, portability, AI, and platform choice are not one-time events.
7: Where the eDiscovery Market Is Going
We just looked at what it takes for buyers to switch platforms.
Buyers of eDiscovery have been cost focused since the inception of the industry. No surprise that cost drives many decisions. Confidence reinforces it. And portability gives buyers options. These dynamics are not isolated. The eDiscovery market is beginning to look different as these topics become more relevant to a potential broader market shift.
Fragmentation of the Dominant Vendor Model
The era of single-vendor dominance in eDiscovery is beginning to wane. As buyers gain access to alternatives, portability options, and objective evaluation methods, the leverage incumbents have relied on begins to diminish. Buyers with real alternatives changes the market dynamic, shifting from captive customers to buyers with options.
Modern platforms are also showing that core eDiscovery functions do not always require legacy complexity or legacy pricing. That does not mean every incumbent platform loses relevance. But it does mean buyers have more reason to question whether the old model is the only model.
Pricing pressure will continue to push the market in that direction. Incumbents will need to compete on value, not only on lock-in.
AI and Data Reduction as Continuing Forces
AI and data reduction are not one-time events. They are continuing forces that will keep reshaping eDiscovery economics.
AI will keep chipping away at review cost. As review becomes more efficient, the market will keep shifting attention toward processing, storage, and data volume. That is where smaller pre-processing data sets and cheaper processing become more important. It is not hard to envision a scenario where cost-efficient AI running locally is used to analyze and reduce data volumes before anything moves downstream.
The combination steadily changes where the money is spent and where advantage is won. Buyers and vendors will need to plan around that shift, not treat it as a temporary trend. Watch for signs of this as collection tools become increasingly capable of targeting data during the collection phase to reduce data volumes before they enter the pipeline.
The Reseller Market Evolution
Vendors and managed service providers face the same pressures as end buyers. They also face many of the same opportunities.
Organizations built around reselling a single platform may look to diversify and reduce concentration risk. Flexible licensing can allow resellers to offer more usage-based pricing to their own clients. Reduced dependency on single-vendor capacity commitments can improve reseller economics, help lower costs, and continue to open the way for more options.
Evaluation and portability capabilities apply to resellers too. The same tools that help direct buyers compare alternatives can help vendors and managed service providers expand their options and reduce platform dependency.
The Next Few Years
The market will look meaningfully different in a few years.
Organizations that act now, building evaluation capability, understanding portability options, and incorporating flexible deployment into their toolkit, will have cost and competitive advantages over those still locked into legacy relationships.
Portability may become an expectation rather than a differentiator. Flexible, hybrid-capable platform deployments may become normal for data-heavy legal technology. And expert, domain-focused advisors may outperform large generalists for specialized decisions.
The market is moving toward more flexibility, true cloud elasticity, more scrutiny, and more buyer leverage.
The question is who will be ready before the next decision point arrives.
Next, we’ll look at the leadership gap in this transition and why the market is waiting for credible, independent guidance.
8: The Market Is Open for Someone to Take the Lead
We exmined where the eDiscovery market is going.
The direction is becoming clearer: more alternatives, more portability, more pricing pressure, and more focus on flexible platform deployments.
But as the market changes, another issue becomes clear.
Buyers need guidance.
A Leadership Vacuum
No single player has fully stepped forward to lead buyers through this transition with genuine independence.
The large eDiscovery and consulting firms have scale and relationships. But their vendor ties, slower engagement models, and generalist orientation leave room for someone closer to the work to take the lead.
That gap is not a knock on anyone. It is an opening.
Buyers need an independent, expert guide through the cost and platform transition. They need someone who understands the technology, the workflows, the economics, and the operational risk.
The Expert’s Advantage
The advantage in this market belongs to the expert.
Not the generalist who understands eDiscovery from a distance, but an organization with deep, hands-on domain knowledge earned by building and running eDiscovery operations. That kind of expertise matters because platform decisions are not theoretical. They affect data movement, processing, review workflows, support models, cost structure, risk, and client confidence.
A focused expert can move faster from assessment to recommendation to execution. A vendor-neutral position allows recommendations to be made based on buyer fit, not vendor influence. A lean delivery model keeps the focus on outcomes, not hours billed.
That is what buyers need in an eDiscovery market where options are plentiful but the nuances make every decision more complex than it first appears.
The Evaluation Framework as a Credibility Anchor
A vendor-independent eDiscovery platform evaluation framework gives buyers a structured way to compare options.
For example, GeorgeJon has built such a framework around documented test cases, scoring criteria, and repeatable validation. It is designed to support defensible recommendations rather than opinion or internally biased conclusions.
That matters because buyers need more than opinions to make hard decisions. They need a way to compare processing, review, platform capabilities, support, cost, and operational fit against documented criteria. Objective scoring creates clarity. Platform-agnostic design reduces bias. Documented results can support leadership and procurement decisions.
In a market with more options, evaluation discipline becomes a source of confidence.
Why This Matters
The market is open for someone to help fill this gap because buyers are facing decisions that are too important to make casually.
Cost pressure is rising, platform options are expanding, portability is changing buyer leverage, and AI and data reduction are shifting where savings can be found. But without independent guidance, buyers may struggle to separate real opportunity from noise.
The expert’s role is to make the decision clearer, safer, and more grounded in the buyer’s actual needs.
The next big change in this market will not be driven by capability or the cloud. It will be driven by cost. Those who understand the dynamics, gaps, and trends, and who are directly involved in the eDiscovery discipline, will be the experts buyers trust when the decision becomes difficult.
There is a hard reality: even in a more flexible, modern market, eDiscovery still depends on human expertise from collection through production.
9: Why Expertise Still Matters in a More Flexible Market
Throughout this series, we have looked at the forces reshaping eDiscovery economics.
eDiscovery costs are rising. Cloud elasticity has not fully reached buyers. Multi-year commitments limit flexibility. AI and data reduction are changing where savings can be found. Portability is creating opportunity and new buyer leverage. And the market is opening up for more independent guidance.
But there is one reality that should stay at the center of the conversation.
Technology alone does not drive eDiscovery.
Why the Vendor Relationship Persists
Even in a modernizing, cost-pressured market, many users of eDiscovery will not simply buy a new platform and walk away from vendors. The reason is that getting data into a platform is genuinely tricky.
That difficulty is easy to underestimate. Collected data often arrives unorganized, with corruption, oddities, and exceptions. Those issues require human beings to review, evaluate, make decisions, fix what can be fixed, relate issues back to the client, and direct the path to normalize or adjust the data so it can be completely processed.
This is skilled, judgment-heavy work, and it is where eDiscovery professionals will continue to be kept busy.
From Collection to Production to Trusted Partners
eDiscovery data must be tracked from collection through review and eventual production. The goal is simple: make sure nothing is missed. But the work behind that goal is not simple.
Data has to be accounted for at each stage. Exceptions need to be identified. Decisions need to be documented. Workflows need to stay defensible. And someone needs to maintain continuity across the full lifecycle.
That chain of custody and completeness is central to the value a vendor or expert provides. It is also a major reason buyers keep trusted partners in the loop.
The Modernization Reality
Modern infrastructure trends matter. Pure cloud, hybrid deployments, and on-premise implementations all fit different needs.
AI matters. Data reduction matters. Portability matters. Flexible deployment matters. Better pricing and stronger buyer leverage matter.
But none of those changes remove the need for expert judgment. In many ways, they make expertise more important. As buyers gain more options, they need help understanding which options are real, which are risky, and which actually fit their data, workflows, and cost structure.
As more flexible platforms become available, buyers need support making sure that flexibility does not create gaps in defensibility, tracking, or execution. As data moves across systems, buyers need confidence that the process is managed, validated, and documented.
Where the Series Comes Full Circle
The eDiscovery market is changing, but the core responsibility remains the same.
Data must be handled carefully. Costs must be understood. Platform decisions must be defensible. And buyers need confidence that nothing is missed from collection through production.
That is why the future of eDiscovery is not technology alone. It is expertise.
The organizations that understand the market dynamics and the technology, and have access to the right expertise, will be best positioned for what comes next.
About the Author
George Nedwick | CEO & Founder, GeorgeJon
George Nedwick is the founder, owner, and principal architect of GeorgeJon. Under George’s leadership, the company has grown from an IT startup to an internationally acclaimed industry leader serving a global client base.
George is a world-class systems architect who has spent fifteen-plus years perfecting a performant, scalable, modular eDiscovery framework that can be replicated and managed on a universal scale. Recognizing a deficiency in technical expertise, storage capabilities, and cost-effective oversight within the eDiscovery industry, George methodically built a team to address this challenge. This includes forging partnerships with hardware manufacturers (Dell), software providers, and leading industry software providers to develop best practice methodologies for optimized infrastructure, specifically designed to meet the demanding needs of eDiscovery users.
George has developed clients in multiple vertical markets, including multinational corporations, leading law firms, government agencies, consulting firms, and premium service providers. He has proven expertise in working with sensitive/classified data and is well versed in navigating complex international data export laws. George has also moved the firm into creation and delivery of proprietary hardware, specifically monitoring appliances that can be placed at client sites to allow for remote access and 24/7 monitoring of all infrastructure components.
