If you blinked, you might have missed the moment ediscovery stopped being a niche specialty and became a core business function.
Nextpoint CEO and Founder Rakesh Madhava recently joined Matt Rasmussen, CEO of our partner ModeOne, for a candid conversation about the ediscovery trends defining 2026 — from exploding data volumes and cloud adoption to AI, API ecosystems, and the macro pressures nobody wants to talk about but everybody is feeling.
Listen to the full conversation on ModeOne’s In Discovery Mode podcast.
From the margins to the center
Matt Rasmussen joked that it took his dad a full decade to understand what ediscovery was or what Matt did for a living. “He works for lawyers” was about as far as it got.
That’s not a knock on Matt’s dad. eDiscovery has moved from the periphery of legal practice to the center of it. Rakesh has watched this shift play out in real time over the course of building Nextpoint.
That era is over.
“When I started out, it was sort of an arcane corner of the universe and nobody cared about legal tech,” he said. “It’s completely flipped. We are moving to the center of how legal processes are going to get done.”
The reason is pretty simple. Society has gone fully digital. The largest companies in the world today were startups twenty years ago — built entirely on digital infrastructure. COVID pushed everyone further in that direction. The civil and criminal justice systems, by necessity, have to reflect the world they operate in. That means understanding ediscovery trends in 2026 is essential. It’s going to get bigger, more complex, and more central to how legal work actually gets done.
The data problem is not what it used to be
Three years ago, Nextpoint decided that the processing infrastructure it had built wasn’t going to be enough. Not because it was poorly built, but because the world it was built for had changed.
“When we first built our processing architecture, most of what we needed to do was process PSTs,” Rakesh explained. “That was the bread and butter of the business.”
Between mobile devices, collaborative platforms like Slack and Teams, GIFs, memes, emojis, and short message formats from a dozen different apps, the range of data types legal teams need to manage has become wildly diverse, and is constantly growing still.
The solution was a full rebuild around a microservices architecture. When iOS pushes an update, when WhatsApp changes its data structure, when Slack modifies its export schema, Nextpoint can deploy support for those changes without friction in a system built to be adaptable and scalable. That kind of flexibility is a survival requirement in a landscape where the data sources legal teams need to collect from can change without notice — and their clients’ cases depend on keeping pace.
As Matt put it, “We need to be able to react to those data types and changes almost on a hair trigger, because our clients demand it.”
Cloud resistance is gone (and good riddance)
Rakesh remembers the early days of pitching cloud-based ediscovery. “People were like, I’m not going to install this. What does Amazon have to do with this? There’s no books involved.”
Nextpoint was a beta tester on Amazon S3. The objections were constant — security concerns, unfamiliarity, a deep institutional reluctance to trust data to infrastructure nobody could physically see or touch. For the first five to ten years, fighting that resistance was part of the job.
That resistance has largely dissolved. And not just at big firms.
Near-ubiquitous cloud adoption is one of the most significant ediscovery trends 2026 is built on. It has crossed over into mid-size and smaller firms, corporate legal departments, and in-house teams. The data volumes showing up in litigation today would be unmanageable on-premise. Processing that used to take days happens in hours. Teams distributed across offices and time zones collaborate without shipping hard drives around. The old model simply could not keep up.
On the corporate side, this shift is reshaping how ediscovery fits into the broader organization. Legal ops teams are increasingly responsible not just for collecting data in response to litigation, but for managing the full data lifecycle — retention schedules, regulatory compliance, remediating data when employees leave, destroying it according to policy. CIOs, CISOs, CFOs, and InfoSec teams are now in the rooms where ediscovery conversations are happening.
Matt described clients sitting in warehouses full of unprocessed physical devices (tens of thousands of phones) because their collection and remediation processes couldn’t scale fast enough. “They’re carrying tens of millions of dollars on their balance sheet,” he said. “They can’t remediate.” That’s what technology lag looks like in dollar terms.
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Don’t treat AI like a bonus feature
Ask anyone in legal tech what the defining moment of the past few years has been, and the answer is the same: the launch of an advanced chatbot that would soon spark an AI revolution. ChatGPT became the fastest app in history to reach 5 million users. Among the ediscovery trends 2026 has accelerated, none is more consequential than AI. Rakesh was direct about what that meant:
“It became apparent to us that we were entering a new technology super-cycle — a change in the technology landscape on par with mobile, on par with cloud, on par with the internet.”
For legal technology providers, that moment set a new baseline. Generative AI capabilities are no longer a differentiator or an exotic add-on. “It’s the minimum ante now,” Rakesh said flatly. “It’s not something where we’re not really sure if it’s going to work. It’s increasingly considered table stakes.”
This isn’t a new conversation for Nextpoint. The company has been applying machine learning across its platform for years — near-duplicate detection, language translation, handwriting identification, PII detection. The generative AI layer builds on that foundation rather than replacing it. The first major release: AI-powered transcript summaries. It’s a use case that plays directly to what generative AI does well, which is taking dense, lengthy bodies of text and extracting structured, actionable insights fast.
But here’s the part of the AI conversation that doesn’t get enough attention: Many attorneys who have never thought of themselves as discovery lawyers are about to see AI become a core part of their work. The technology isn’t staying in the ediscovery lane — it’s moving across the full scope of legal practice. The firms building fluency with these tools right now aren’t just keeping up; they’re building a lead that will be hard to close later.
The integration question is about to become impossible to ignore
There’s one thread from the conversation that’s worth flagging separately, because it tends to get buried under the louder AI conversation even though it’s just as consequential: API-driven ecosystems.
Legal data doesn’t live in one place. It lives in Gmail, Outlook, Slack, Teams, Salesforce, Zendesk, iCloud, Google Drive, on mobile devices, and across a growing list of SaaS platforms that change their data structures sporadically. For a long time, legal teams worked around this by manually moving data between siloed systems and hoping nothing fell through the cracks.
However, that approach doesn’t scale. As cloud adoption has matured, the expectation that all of these sources should communicate with each other — seamlessly, without manual intervention and chain-of-custody gaps — has shifted from a nice-to-have to a baseline requirement.
“People are going to expect more and more for their various cloud data sources to be able to communicate with each other,” Rakesh said. “That API integration question is going to be front and center.”
For anyone evaluating legal technology right now, this deserves real weight in the decision. A platform that doesn’t integrate with your broader ecosystem creates friction, manual work, and risk at every handoff. The platforms built with open, API-first architectures are the ones prepared for where the industry is actually going.
The honest take on what comes next
Neither Rakesh nor Matt predicts a smooth ride. Coming off what Rakesh described as a genuinely challenging year for the legal industry — economic uncertainty, shifting enforcement priorities, political pressure on large law firms driving hesitancy in corporate boardrooms — an air of apprehension tinges the ediscovery trends of 2026.
“Lots of folks in corporate boardrooms are increasingly hesitant to pick up the phone and call their law firm,” Rakesh said.
That chilling effect is real. It would be dishonest to pretend otherwise.
But the underlying technology pressures don’t pause for macro headwinds. The data keeps growing. The file types keep multiplying. The client expectations keep rising. And the firms that are building modern, scalable, AI-integrated workflows right now are building resilience — the ability to do more with less, faster, at lower cost, and with the defensibility standards litigation demands.
That’s the north star Matt kept coming back to throughout the conversation: Do more with less. It’s the new permanent baseline and the technology exists to meet it. The question is whether legal teams are willing to reach for it before they’re forced to.
See what modern ediscovery looks like at Nextpoint
From cloud-native processing and AI-powered review to seamless integrations with the tools your team already uses, Nextpoint is built for the way legal data actually works today, not the way it worked a decade ago.
Book a demo with Nextpoint and see what it looks like when your ediscovery platform finally catches up to the complexity of the work.
