eDiscovery

Tackling the Mobile Data Deluge: Lessons from Masters Conference NYC 2025

Masters Conference: NYC, 2025 |  Article by Rick Clark

At the 2025 Masters Conference in New York City, one panel dug deep into one of the most pressing issues in modern litigation and investigations: mobile data overload. In the session titled “The Mobile Data Deluge: How to Tackle it for eDiscovery,” a powerhouse panel of experts from Cellebrite, CloudNine, and Sandline Global shared strategies for managing the growing complexity of data in digital investigations and legal discovery.

Panelists:

  • Eric Seggebruch, Account Executive, Cellebrite Enterprise Solutions
  • Rick Clark, VP of Strategic Partnerships and Marketing, CloudNine
  • Rob Fried, SVP, Forensics & Investigation, Sandline Global
  • Andy Jacobs, Solutions Engineer, Cellebrite Enterprise Solutions

Together, they brought a mix of field expertise and technical insight, offering a roadmap for legal teams grappling with the explosion of mobile and messaging data.

Data is Everywhere And It’s Getting Heavier

The numbers tell the story:

  • 97% of eDiscovery cases now include at least one mobile device
  • The average investigation involves 275 GB of data
  • Many cases start with at least five custodians
  • Growing use of social media, messaging apps, and BYOD environments further expands the digital evidence footprint

The trend is clear: mobile data isn’t just part of an investigation; it’s often the core of the case.

The Tangled Web of Mobile Messaging

Gone are the days of simple SMS and email discovery. Today’s legal teams must sift through a complex web of communications from apps like:

  • WhatsApp, Signal, Telegram, Viber, Wire
  • iOS and Android devices
  • Cloud storage platforms
  • Enterprise messaging apps like Slack and Teams

Andy Jacobs emphasized the need to understand the types of collections available from logical and advanced logical to full file system acquisitions and what each can reveal. “It may be not just about extracting messages,” he explained. “It’s about finding deleted data, encryption keys, application metadata, and cross-platform context.”

Getting to the Truth with Smart Tools

The panel encouraged a toolkit mindset which is one that equips legal professionals with versatile options to handle diverse devices and apps.

Key insights included:

  • Full file system collections can uncover data missed by surface-level scans
  • Database and keychain access is essential for encrypted apps
  • Automation can reduce examination time without compromising defensibility
  • Parsed and unparsed data review enables deeper understanding of how, when, and where communications occurred

Rick Clark emphasized the importance of integrating mobile data into the broader review ecosystem, noting that tools like CloudNine support a seamless flow from mobile collection to hosted review and analytics.

Modern Challenges Require Modern Collaboration

Rob Fried reminded attendees that no single approach works for every matter. “You need to meet your custodians where they are,” he said, pointing to the importance of hybrid collection capabilities that include cloud-based platforms, remote devices, and even deleted or hidden data.

Whether the investigation is rooted in financial fraud, corporate disputes, or regulatory audits, success requires a balance of technical skill, strategic thinking, and client communication.

Revolutionizing eDiscovery Workflows

The session concluded with a call to reimagine the traditional eDiscovery model:

  1. Mobile Device Collection – Go beyond email and docs; get the full story
  2. Seamless Processing – Automate and standardize for speed and accuracy
  3. Streamlined Review – Centralize diverse data types into a unified platform
  4. Powerful Insights – Use visual analytics and filtering to spotlight what matters

This modern workflow not only reduces time to resolution, but also enhances transparency, compliance, and defensibility in court.

Final Thoughts: Embrace the Deluge, Don’t Drown in It

The explosion of mobile data in legal matters isn’t a crisis, it’s an opportunity. With the right tools, strategies, and collaboration between forensic experts and legal teams, organizations can cut through the noise, focus on what matters, and tell the real story behind the data.

As Eric Seggebruch said during the panel, “It’s not just about collecting data anymore, it’s about collecting the right data, in the right way, and delivering it in time to make a difference.”

From the Frontlines of Resolving Disputes: Real Talk on AI (and Not AI) Tools in Modern Investigations

Masters Conference: NYC, 2025 |  Article by Rick Clark

At The Masters Conference NYC, held July 22–23, 2025, legal professionals, investigators, and technologists gathered at Morgan Lewis to share not only the promise of AI but also its limitations. One standout session, “From the Frontlines of Resolving Disputes: Bringing the Right Combination of AI (and Not AI) Tools,” delivered just that: real-world stories from financial disputes, fraud investigations, and litigation matters where the right mix of human expertise and tech-savvy strategy made all the difference.

Moderated by seasoned veterans with experience discussing AI with clients, the panel featured:

  • Mike Gaudet – Managing Director, J.S. Held
  • Ken Feinstein – Senior Managing Director, J.S. Held
  • Arnold Blair – Discovery Counsel, MoloLamken
  • David Carney – Partner, Robinson+Cole

Their message was clear: there is no silver bullet to addressing eDiscovery issues.  Success often comes from striking a balanced approach between traditional methods and modern tools, including AI-powered tools

The Data Have Changed. Have You?

“Five years ago, the conversation was: Should we get the phones and chats? Now it’s: We always get the phones and chats,” said Mike Gaudet, summarizing the evolution of data sources in disputes.

Arnold Blair noted that many still forget that short message communications, including texts and messaging apps are discoverable, they  often reveal more candid insights than formal emails. “People are more cavalier in what they say, and that makes it a goldmine for investigators if you can afford to get to it.” The cost and time required to sift through hours of “24-hour document” style reviews have created new pressure on teams to be smarter in how they collect and analyze modern communications.

Ken Feinstein emphasized that while the foundational steps of discovery (identification, collection, review) have not changed, how we interact with the data has. “Visualization tools and AI-assisted platforms now help teams make sense of communication patterns, transaction timelines, and relationships across structured and unstructured data.”

AI Is a Tool. Not the Answer

Throughout the session, panelists reiterated: AI should augment human decision-making, not replace it.

David Carney offered a reality check for those eager to deploy emerging tech: “It starts with the client. What’s their comfort level with innovation? Some are eager to experiment; others are skeptical, especially with riskier tech like generative AI.” He cited “hallucinations” in legal research which is false or fabricated cases from tools like ChatGPT as a cautionary tale. Validation, he stressed, must be baked into every AI-enabled workflow.

Arnold Blair added that the type of case should be a factor to consider what technology to use . A construction litigation case doesn’t need the same toolkit as a high-profile healthcare fraud matter. Flexibility and creativity are essential.

Navigating the Tech Landscape: Practical Considerations

Choosing the right approach means balancing multiple factors:

  • Suitability and defensibility of the technology
  • Client comfort level with AI or advanced platforms
  • Timeline and budget constraints
  • Risks related to data privacy, accuracy, and trust
  • Ongoing need for human oversight

Carney described implementing some AI tools, particularly those that help with data interaction and visualization, as a way to “dip your toe in the water.”. These tools create a technology-assisted, human-led review model, helping teams get to the truth faster and with better precision.

The Role of AI in Investigations and Disputes

Ken Feinstein focused on one of AI’s most valuable applications: normalizing semi-structured data into analyzable formats. When messages, emails, transactions, and timelines are layered into a cohesive dataset, patterns emerge and stories are revealed.

“Every matter is different,” Feinstein said, “so your approach needs to be innovative and case-specific.” He encouraged professionals to explore hybrid models and layered approaches, where AI enhances, but doesn’t overtake, traditional methodologies.

Mike Gaudet added that the future lies in layered AI that adapts to complex cases with real-time inputs and cross-data references. In litigation involving healthcare mergers or construction disputes, layered approaches allow investigators to correlate internal messages with financial triggers, project delays, or compliance gaps.

Trends on the Horizon

The panel also spotlighted key litigation technology trends:

  • Technology is moving further upstream – directly behind the client’s firewall
  • Faster adoption rates as AI becomes part of broader corporate strategies
  • A surge in irrelevant data means culling tools must evolve rapidly
  • Data reviewed all together as a stream, not just in siloed document batches
  • Human focus is shifting to more strategic and interpretive tasks

According to Carney, clients are warming up to these changes especially when a previous success story or proof of concept is available. “If we’ve used it before in a similar case and it worked, that helps get buy-in.”

Conclusion: The Truth Takes a Team; Both Human and Machine

In the end, this session from The Masters Conference reminded attendees that there’s no shortcut to the truth in legal disputes. AI and advanced tools are incredibly powerful allies, but they’re not miracle workers. Thoughtful professionals, strategic planning, and contextual judgment remain irreplaceable.

Every case demands its own approach. Sometimes that means deploying cutting-edge AI tools. Other times, it’s about asking the right questions, using visualization platforms, and staying grounded in defensible, client-focused strategies.

Because whether it’s AI, chat messages, financial records, or family law disputes, the mission remains the same: Find the truth. Tell the story. Defend the process.

The Future of Legal Practice: A Look Ahead from Masters Conference NYC 2025

Masters Conference: NYC, 2025 |  Article by Rick Clark

On July 22–23, 2025, The Masters Conference returned to New York City with a bold theme: “Welcome to the Masters 2035.” Hosted at the offices of Morgan Lewis, this two-day event gathered legal professionals, technologists, investigators, and industry thought leaders to explore how emerging technologies and workplace changes will reshape eDiscovery, investigations, and information governance over the next decade.

Forecasting the Legal Landscape of 2035

The session “Welcome to the Masters 2035” sponsored by Morgan Lewis, featured a lively and forward-thinking panel:

  • Elizabeth Marie Gary – Sr. Associate, eData Practice Group, Morgan Lewis
  • Bansri M. McCarthy – Associate, Morgan Lewis
  • Babette Orenstein – Associate Counsel, Con Edison
  • Salomon Louis – Program Owner, eDiscovery, MassMutual Financial Group

This thought-provoking session pushed attendees to imagine what legal discovery and team dynamics could look like in 2035 with just the right blend of realism and science fiction.

2035: Rethinking Workplace Communication and Discovery

The panelists acknowledged the rapid evolution in workplace communication tools and what that means for discovery. Traditional emails are already being replaced by chat platforms like Microsoft Teams, Slack, and embedded comments within live documents that continue conversations that could be linked to Microsoft Teams or email. Salomon Louis noted that “mediums are becoming more fluid,” requiring legal professionals to navigate cross-channel communication in many different ways while in discovery.

Bansri McCarthy pointed to how document hyperlinks and comment trails are reshaping the way we communicate in real time via the content in the hyperlinks themselves.

With a nod to virtual reality, Elizabeth Gary joked that we’d all be wearing headsets and communicating via brain chips, but then seriously predicted that VR-powered collaboration could become normal by 2035. “Gen Z is already pushing us toward more streamlined, tech-first ways of working,” she said.

Babette Orenstein summarized the current pain point: “It’s difficult to remember where a conversation happened. Was it in a comment, Teams message, or email?” As transcription tools become more integrated into our workflows, these ambiguities may fade, but only if legal teams can keep pace with tech.

AI on the Legal Team: The Rise of Legal Tech Agents

One of the most exciting discussions revolved around the evolution of legal teams to include AI engineers and researchers. Louis emphasized that these roles will be essential to help teams properly prompt large language models (LLMs) and mine insights from massive client datasets.

Elizabeth Gary pushed the boundary further: “Will we even consider AI agents as part of the legal team? Will we one day take testimony from an AI Agent?” While the courtroom may not be ready for that just yet, it’s clear that AI is becoming more than just a tool, it’s a teammate.

Gary also highlighted that her practice already integrates technologists with attorneys, stressing the growing importance of tech fluency within legal teams.

The New eDiscovery Stack: Streamlined, Unified, AI-Driven

The next ten years will see significant simplification and unification of eDiscovery tools. According to Louis, standardization across toolsets will normalize how data is exported and interpreted, making cross-channel communications easier to review.

McCarthy projected that firms will finally break down data silos, bringing together privacy, compliance, disposition and litigation considerations to determine how to best handle company data throughout its lifecycle. In the future, eDiscovery will be an element in the overall health and maintenance of data necessary for business operations.

From the audience, Cat Casey of Reveal delivered a compelling insight: “Ten years from now we will have full-fledged AI agents on case teams that will put the pieces together faster and more efficiently than humans.” In this future, technical analysis will happen before a human even lays eyes on the data.

What We Leave Behind. And What Stays the Same

Some predictions bordered on the radical. The Bates label? “Gone,” said Gary. Even the concept of a “document” might disappear as communication shifts from static files to fluid, embedded conversations.

Cat Casey affirmed this, declaring that documents, as we know them, have already started to die off.

Yet, the panel agreed: the human element won’t go away. In Gary’s words, “People will always have to take responsibility for the end result. They will still need to put their stamp of approval on it.” This reminder grounded the discussion in a legal truth: accountability cannot be automated.

Bold Predictions for 2035

The panel closed with some of their boldest predictions:

  • Everything is discoverable! Even whispers. “Nothing is deleted and we just keep it all,” said Gary.
  • Virtual courtroom reenactments could allow jurors to experience the scene in VR based on evidence.
  • And perhaps most provocatively: AI agents as de facto case team members.

Final Thoughts: The Masters of the Next Decade

The Masters Conference NYC didn’t just forecast where legal tech is going it painted a vision of how attorneys, investigators, and eDiscovery professionals must evolve alongside it. The future of law is not about replacing people with machines, but about using machines to amplify human judgment, creativity, and ethics.

In 2035, we may no longer recognize today’s inbox or review platform, but we’ll still recognize the core of legal practice: trust, accountability, and thoughtful advocacy.

Welcome to the future. Welcome to the Masters 2035.

How AI Is Reshaping Courts, Legal Practice, and the Justice System

AI in the Courtroom: Insights from Judge Braswell | Masters Conference: Denver June 24, 2025 |  Article by Sheila Sadaghiani

At the Masters Conference in Denver, Co on June 24th, Judge Maritza Dominguez Braswell laid out a powerful framework for how courts are grappling with AI today. Judges are no longer on the sidelines, they’re gatekeepers, educators, and even users of AI tools. And the questions they’re asking today will shape the law for years to come.

Let’s be honest, many of us can’t help but roll our eyes when AI comes up (again). It’s not that it’s unimportant, quite the opposite. AI is a game-changer. But at this point, it’s everywhere: panels, webinars, conferences, articles…and yet, we’re still seeing more talk than real-world action.

I almost skipped this session, thinking, what could I possibly hear about AI that I haven’t already heard? Then my second thought was, well, I haven’t heard it from a judge. And Judge Braswell did not let us down. When she wrapped up her talk, the person behind me said exactly what I was thinking: “Wow, this was the best session!”

What made this discussion stand out is that it wasn’t centered on the usual “here’s a new tool” or “you need to catch up” narrative. Instead, it felt grounded in real-life impact and human responsibility. Judge Braswell didn’t talk at us about AI, she walked us through how it’s already reshaping courtroom decisions, legal ethics, and day-to-day operations. She reminded us that it’s up to us, judges, lawyers, and professionals to shape how AI is used, not just react to it. It felt less like hype and more like a thoughtful, honest conversation about what’s actually happening, what’s at stake, and how we move forward with intention.

Simple answer? Just start.

  • Draft a basic AI policy. Build from there.
  • Appoint an “AI Committee” to guide your team.
  • Encourage responsible use.
  • Try AI in your everyday life: make a grocery list, plan a trip, rewrite a tough email.

For me, AI is like a super-smart, non-judgy best friend. It sharpens my thoughts, challenges my blind spots, and makes me better at what I already do.

Here’s the truth: If you’re worried AI might replace jobs, consider this; those who learn to use it will replace those who don’t. Judge Braswell delivered some great insights, relying a framework developed by the Federal Judicial Center:

  1. Judges as Evidentiary Gatekeepers

Key Insight: AI-generated content is creating deep uncertainty around what’s real. Judges must now determine what evidence is trustworthy, without clear precedent on deepfakes.

  • Deepfakes are top of mind for some judges.
  • Thomson Reuters + NCSC offer tools to categorize AI evidence: acknowledged vs. unacknowledged.
  • Maura Grossman has offered the following 3-part inquiry to help surface a potential unacknowledged AI issue:
    1. Is it too good to be true?
    2. Has the source disappeared?
    3. Is the explanation for its absence overly complex?
  • Judges are relying on gut instinct, legal experience, and honesty from professionals.
  1. Judges as AI Communicators

Key Insight: Judges must now explain AI to lawyers, jurors, and the public, relying heavily on the legal community for clarity.

  • Clear jury instructions and simplified language are essential.
  • Experienced and knowledgeable lawyers, eDiscovery experts, and paralegals are more vital than ever.
  • Communication shapes understanding, and outcomes in court.
  1. Judges as Guardians of the Law

Key Insight: In the absence of sweeping AI laws, judges and legal professionals are the ones building the rules.

  • Balancing legal precedent with emerging AI innovation is tricky.
  • Example: Amazon’s AI hiring tool prioritized male resumes, a red flag.
  • The courts will help define what should be done with AI, not just what can be done.
  1. Judges as AI Users

Key Insight: Judges are cautiously testing AI tools in their own workflows, with strong guardrails.

  • AI is helping streamline court tasks (seen in Florida, Texas).
  • Ethical dilemmas arise. For example, what considerations come into play when AI avatars speak for victims?
  • Other uses: a judge entered a crime scene simulation using VR, in Arizona AI avatars explain rulings.

Judge Braswell’s Framework When Using GenAI:

  • Inputs: What info is going into the system? Is it confidential, protected, otherwise problematic to upload/ disclose/use for training data, etc.
  • Outputs: What info is coming out of the system? Does it appear laden with bias, hallucination/etc.
  • Use: How will this be used? Low risk or high risk? Low risk example- back and forth w/ LLM for brainstorming. High risk example- unverified reliance in work product.
  1. Resources & Education for Judges

Key Insight: Judicial education is still catching up, but collaboration is key.

  • Judges lean on bench cards, frameworks, and peer discussions.
  • Sedona Conference offers a helpful 8-page AI judicial guide.
  • Judicial conferences and ongoing education
  1. The Role of Case Law in AI

Key Insight: Every AI-related case builds the legal AI playbook.
Lawyers educating the bench today are writing tomorrow’s rules.

  1. AI in Public Institutions

Key Insight: Courts, DAs, and police are already leveraging AI for real results.

  • San Francisco City Attorney used AI to clean up outdated/duplicative requirements in municipal code, manually impossible.
  • Police in Oklahoma and other states using AI to generate reports from bodycam footage.
  1. Forecast: 2025–2028

Key Insight: We’re moving from personal use to full-on transformation.

  • 2024: AI use was personal, quiet, and behind the scenes.
  • 2025: Companies are starting to learn. AI committees are forming.
  • 2026: Governance structures and policies start solidifying.
  • 2027–28: Roles are reinvented. Legal workflows are redesigned, not just automated.
  1. Recommendations for Legal Leaders

Key Insight: It’s not about layering AI on top of existing frameworks and systems. It’s about reimagining how services are delivered, and work gets done.

Start here:

  • Form cross-functional AI committees.
  • Write and update your AI policies.
  • Encourage honest, cross-generational dialogue.
  1. Advice for Legal Professionals

Key Insight: Learn by doing. Stay transparent. Stay curious.

  • You don’t need to be technical, just thoughtful, curious, and responsible.
  • Soft skills, emotional intelligence, and communication still matter most.

Final Thought

Judge Braswell said it best: AI can enhance what we do if we approach it ethically, and with an open mind.

This isn’t a call to fear. It’s a call to lead.

Mobile Data Matters: Because Your Phone Might Be the Star Witness

Insights from the Masters Conference – Denver | June 24, 2025 | Hosted by Fennemore Craig PC  | Article by Sheila Sadaghiani

Last week at The Masters Conference in Denver, I sat in on a session that felt less like a legal panel and more like group therapy for those of us trying to tame the chaos of mobile data in eDiscovery. The message was clear: if you’re not thinking about mobile data, you’re already behind.

This panel was moderated by Chip Koons, CEO at Veracity Forensics and the panelists were Rick Clark, VP of Strategic Partnerships and Marketing at CloudNine, Melinda Redenius, Forensic Consultant at Veracity Forensics and Sean Solis, Counsel at BakerHostetler. This panel rounded out the perspectives of technology, forensics and the practice of law with the focus on smartphones in investigations and litigation.

Let’s face it, our smarty pants devices know everything. Who we texted, where we were, what we Googled at 2 a.m., and whether we really did hit our step count (thank you, Apple Watch). So, when a case lands on your desk and a smartphone or device is involved, and it always is, it’s time to get serious.

Phones Aren’t Just Phones Anymore

The session kicked off with a reminder that mobile devices are no longer simple communication tools. They are digital diaries overflowing with location data, app activity, messages, and maybe even a TikTok or two. That also means they are goldmines in investigations, but getting to that gold, not so easy.

Challenge #1: Privacy in a BYOD World

The ever-present Bring Your Own Device (BYOD) issue came up fast. The consensus? If you don’t have a crystal-clear policy in place, you’re setting yourself up for a compliance migraine.

Policy isn’t just a formality, it’s your defense. Require consent. Explain what’s being collected. And for the love of litigation, communicate with custodians. People get weird when you ask to peek into their phones, and can you blame them? Some even back up personal data to their iClouds, which just adds another layer of “fun.”

Also, heads up; board members are not always thrilled about handing over their devices. Shocking, I know.

One story shared involved a chemical plant incident where investigators suspected employees were texting during the event. They requested phone data leading up to and during the incident. The court said nope, calling it a fishing expedition. Moral of the story? Narrow your scope or risk reeling in an empty net.

Challenge #2: Ephemeral Everything

Next up: ephemeral data. Think Snapchat, disappearing messages, and auto-delete features that make forensic teams want to throw their phones into the nearest river.

But don’t lose hope. You can still get creative. One clever tactic mentioned was collecting data from other people the custodian communicated with. Deleted texts? Rebuild them from the other side of the conversation. Like digital duct tape.

Also, this is a big one, the Department of Justice is now specifically calling out the need to preserve ephemeral messages. So yes, your compliance program better have something to say about that.

Oh, and when you’re issuing a legal hold, spell it out. Literally. Include instructions on how to turn off auto-delete features. No assumptions.

Challenge #3: Geo-Location (aka “Where Were You Really?”)

Geo-location came up as both a powerful tool and a slippery slope. Every photo you take, some apps you open, it’s all tagging your location to the same database on the device. But here’s the twist: geo data is tied to the phone, not necessarily the person using it. So, you might know where the phone was, but can you prove who was holding it?

Still, if used wisely, location data can help build a compelling narrative. It just needs to be paired with the right context and a bit of tech wizardry.

Real Talk: No Easy Buttons

The overall vibe? There’s no magic wand here. But there are technologies that can help make sense of the chaos. Whether you’re threading messages across multiple platforms or using targeted collection tools like ModeOne, Oxygen, or Cellebrite, the key is to know your case and tailor your collection strategy accordingly. Then, review platforms like CloudNine Review will make the review experience MUCH easier than traditional document review platforms.

One case even hinged on data from a wearable fitness device. Yep, turns out those calories burned were worth more than expected in court.

Final Takeaways:

  • Your mobile data strategy should be locked and loaded before discovery starts.
  • Communication with custodians isn’t optional; it’s critical.
  • Don’t just collect, preserve intentionally.
  • And finally, get a service provider in early. This isn’t a solo mission.

So, the next time someone shrugs off mobile data as “just texts,” remind them: your phone might be the most honest (and unforgiving) witness in the room.

P.S. If you think mobile discovery is scary now, just wait until someone subpoenas your smart fridge.

AI in eDiscovery: What Was, What Is, and What’s Coming

Insights from the Masters Conference – Denver | June 24, 2025 | Hosted by Fennemore Craig PC

Artificial Intelligence (AI) is no longer an emerging idea in legal discovery, it’s the present reality. At The Masters Conference in Denver, Fennemore Craig PC hosted an insightful session titled “AI in eDiscovery: What Was, What Is, and What’s Coming,” led by Adrian D’Amico, Director of Emerging Technology and Innovation, and Dean Seiveno, Chief Enterprise Officer. The session offered a sweeping view of how AI has evolved in the eDiscovery space and where it’s heading next.


The Evolution: From Automation to Insight

AI began reshaping eDiscovery by doing what humans couldn’t which is rapidly processing vast volumes of data. Early adoption focused on the automation of time-consuming processes like email and chat message review, issue identification, and document summaries. These tools gave legal teams the ability to cut through digital noise faster and more efficiently than ever before.

However, D’Amico pointed out that what we’re seeing now is a far cry from basic automation. The AI landscape and the technologists creating solutions is growing at an quick pace, leaving many overwhelmed and uncertain on which solutions, workflows and platforms should be considered.

D’Amico urged attendees to recognize that the real threat to your position or practice isn’t AI itself, it’s a lack of training in how to use it effectively. “AI doesn’t replace people,” D’Amico said. “A lack of AI training is what replaces people.”


Current Capabilities: Beyond Data Culling

Today’s AI-powered eDiscovery extends well beyond initial data sorting. It now plays a role across the entire EDRM spectrum:

  • Identification & Preservation of sensitive data like PII
  • Collection and early data analysis strategies that surface discoverable and relevant information early
  • Processing and Analysis that leverage smart clustering and thematic analysis
  • Review & Production tools that can visualize communication patterns, changes in sentiment, and emerging narratives that plug into traditional review and production workflows

One significant advancement is the shift from Continuous Active Learning (CAL) to Continuous Active Prompting (CAP). Unlike CAL, which trained models based on document coding decisions, CAP relies on natural language prompts. This allows legal teams to iterate prompts, create storyboards, uncover deeper context, and even analyze audio and video files and all through conversational interfaces.

Generative AI platforms like ChatGPT can now assist in:

  • Drafting correspondence
  • Extracting or testing legal arguments
  • Modeling damages using curated eDiscovery datasets

But, D’Amico emphasized, only use firm-approved AI tools and never use a public tool for sensitive or proprietary information to maintain compliance and security.

 

The Future: Agentic AI and Multimodal Discovery

Looking ahead, both panelists predicted the rise of AI agents: automated systems that act like digital assistants within the eDiscovery workflow. These “Agentic AIs” will perform tasks like:

  • Drafting privilege logs
  • Reviewing batches of documents
  • Monitoring quality control across platforms
  • Create summaries of the documents, case arguments and organize data by topic

While these agents will still require human oversight, they represent a dramatic leap in efficiency and scalability.

Another exciting frontier is Multimodal Discovery which is the ability to connect and contextualize data across formats and cross channel communications. For example, searching for a keyword or concept could simultaneously pull in emails, Slack messages, call transcripts, and IoT data from wearables. This “search one, find all” approach has the potential to uncover layers of meaning and interconnectivity that were previously invisible.

 

Intent, Sentiment, and the Challenge of Ephemeral Data

Modern communications are rife with nuance like emojis, memes, GIFs, and slang interspersed throughout all textual conversations. Interpreting these requires more than a keyword search; it demands contextual intelligence. D’Amico described the importance of eDiscovering intent which is the ability of AI to read between the lines and identify tone, sentiment, or potential misconduct embedded in these short-form, symbolic messages.

Wearable technologies and IoT devices also present emerging data sources that, when analyzed correctly, can provide additional context around behavior, location, and anomalies tied to key events.

 

Adoption Trends and Practical Guidance

Citing the ILTA 2024 eDiscovery Survey, Seiveno noted that:

  • 76% of large law firms and 46% of midsize firms are already using AI in some form for their practice
  • Adoption varies across roles: 40% legal support, 22% attorneys, 63% paralegals

Legal professionals are at varying stages of their AI journey. “Just get started somewhere,” Seiveno advised. “Even small steps create momentum.”

He offered three core recommendations:

  1. Engage Clients – Create a one-page explainer to secure informed consent and highlight AI’s value.
  2. Offer Training – Ensure both legal and support teams are informed on emerging tools and workflows.
  3. Oversee Workflows – AI needs human oversight. Establish governance to validate outcomes and improve models.

 

Ethics and Compliance: Start with Policy

As AI becomes more embedded in legal practice, ethical boundaries and regulatory obligations must remain top of mind. The panel referenced several key sources:

  • ABA Opinion 512 – Emphasizes duty to disclose the use of AI
  • FRCP 11 – Requires “reasonable inquiry” in representations made to the court
  • FRCP 37 – Addresses consequences for failing to disclose methods used
  • In re Google Play Store Antitrust – A recent case highlighting the significance of transparency in AI use

Building policy starts with assessing existing tools, incorporating ABA guidance, promoting firm-wide enterprise AI solutions, and ensuring client data is kept fully siloed from other matters.

 

Final Thoughts

AI in eDiscovery is evolving from a helpful tool into a strategic advantage. But with this evolution comes the responsibility to educate, govern, and ethically apply these innovations. As D’Amico put it, “AI can surface things people wouldn’t even think to look for.” And that’s the key: not replacing human judgment, but enhancing it.

Whether you’re new to AI or already using it daily, one thing is clear: the future of discovery isn’t just data-driven—it’s AI-enabled, ethically informed, and client-focused.

 

Integrating Data Law: Bridging eDiscovery, Privacy, Cyber, Records, Analytics, AI Advisory, and Beyond

Insights from The Masters Conference Chicago – May 20th, 2025

In a dynamic and data-driven legal environment, the once-separate domains of eDiscovery, privacy, cybersecurity, records management, and AI legal advisory are converging into a single, multifaceted discipline: Data Law. At The Masters Conference in Chicago, a diverse legal professional panel explored how law firms and corporations can adapt by building integrated teams and workflows that reflect this evolution.

Panelists:

  • Jay Carle – Seyfarth Shaw
  • Jason Priebe – Seyfarth Shaw
  • Natalya Northrip – Medallia
  • Amanda Metts – Baxter
  • Paul Noonan – United Airlines
  • Jenny Hamilton – Exterro

The End of the Siloed Approach

Jay Carle (Seyfarth Shaw) opened the discussion by noting that traditional silos are breaking down. “These disciplines are starting to overlap more and more. The siloed approach doesn’t work when it comes to managing risk. Everything needs to be interconnected.” This theme resonated throughout the session, with each panelist emphasizing how integration enhances control, efficiency, and legal defensibility.

Cross-Functional Collaboration in Action

Paul Noonan (United Airlines) illustrated how information governance and eDiscovery are aligning more closely, particularly in understanding and managing the corporate data footprint. Noonan mentioned that they have a suite of approved applications for oversight, but there are always rogue apps like WhatsApp. That’s where internal education and policy enforcement become critical.

Amanda Metts (Baxter) highlighted the necessity of clear, enforced preservation and collection policies within legal departments, and noted that being in legal, preservation is inevitable so policies must be enforceable and aligned across departments.

Jenny Hamilton (Exterro) provided a unique perspective from both the legal and tech sides, explaining that while a law firm might benefit from separate departments, corporations need cross-departmental alignment. Hamilton said that litigation and IT need to work hand-in-hand. Identify the greatest risks, but also accept that some risk is inevitable.

AI, Privacy, and Cybersecurity – Managing the Convergence

Jason Priebe (Seyfarth Shaw) noted the growing complexity with generative AI (GAI). He said that some clients are exploring GAI models cautiously, while others are saying no entirely. Regardless, there must be centralized command and control over which apps are used, how data is retained and secured, and how discovery protocols are enforced, especially when working with opposing counsel.

He stressed the importance of having clear protective order templates and requiring outside parties to adhere to the same security standards when handling data.

Natalya Northrip (Medallia) reinforced that even if GAI policies are in flux, organizations should have internal panels that shape them across departments, ensuring responsible innovation.

Building Governance That Works

The conversation turned practical when the audience asked how to effectively enforce policies. Noonan suggested publishing policies company-wide and performing regular audits. He emphasized that litigation is also a great check and that employees subject to legal holds are more aware of the policies. Carle added that repetition is key: Constant messaging keeps data policies top of mind.

Priebe recommended leveraging technology solutions that analyze data throughout an enterprise to support classification and governance across various data law functions.

On change management, Noonan emphasized structured rollouts and company-wide communication. He said that they already have change management processes in place to ensure employees understand and follow new policies.

The Takeaway: Integration is the Future of Data Law

All panelists agreed: modern legal matters require a holistic, integrated approach to data. Whether it’s a litigation hold, responding to a regulatory inquiry, or deploying new AI tools, legal teams need to understand how privacy, cybersecurity, records, and discovery intersect, and be prepared to respond cohesively.

For both law firms and corporate legal departments, the challenge is to build multidisciplinary teams, foster internal alignment, and ensure everyone from technologists to litigators knows how to navigate today’s overlapping data risks.

As Carle aptly concluded, that at the very least, attorneys need to know who to call internally. That kind of awareness is the minimum standard in today’s legal landscape.

The Data Revolution is Here – Are You Ready?

Masters Conference Chicago | May 20, 2025
Hosted by Seyfarth Shaw LLP | Presented by Infinnium

As the legal landscape continues to involve many new communication data as evidence, the conversation around data governance and eDiscovery is becoming more urgent and more strategic. At the 2025 Masters Conference in Chicago, a dynamic panel featuring Doug Kaminski, Chief Revenue Officer of Infinnium, and David Cohen, Senior Counsel at Reed Smith LLP, offered a powerful call to action: The data revolution is not coming; it’s already here.

A Moment of Reckoning for Legal Tech

“This is a pivotal moment in the legal profession,” Kaminski opened, “and shiny GenAI tools alone won’t cut it. Real transformation demands a shift in how we manage and make sense of our ever-expanding data universe.”

Kaminski and Cohen explored the imminent overhaul of the Electronic Discovery Reference Model (EDRM) in what’s being dubbed “EDRM 2.0” and aims to integrate with the Information Governance Reference Model (IGRM) and address the increasingly blurred lines between governance, discovery, and compliance.

Cohen noted, “It’s time to revise the EDRM because what we do today often begins with filtering and analysis before collection. The traditional model doesn’t reflect that. Analysis is now happening at the very beginning of the process as well as most every step along the way.”

The Push Toward the Source

In today’s data-rich environment, organizations can no longer afford to “lift and shift” massive datasets across siloed systems. Kaminski emphasized the growing importance of conducting analysis at the data source: “You get to the answers you want sooner, without error-prone handoffs or multiple data copies. Review is then on richer, more relevant content.”

This upstream approach: Identify, Preserve, Process, and Analyze in-place is gaining traction thanks to advanced connectors and automation tools. Kaminski highlighted Infinnium’s suite of over 50 data connectors as an example of how technology is enabling pre-collection analytics, sentiment analysis, and early identification of sensitive content, all while minimizing disruption.

The Expanding Data Universe

Both speakers stressed the massive growth in enterprise data types. “It’s not just documents and emails anymore,” Cohen explained. “It’s corporate communications, chat platforms, and other ephemeral sources. Email itself is still growing as a communication standard.”

Complicating matters are rising privacy regulations and increasing volume-related costs, especially from cloud platforms like Microsoft 365. These pressures are fueling a renewed interest in data minimization which is a principle that’s becoming essential for legal teams managing both compliance risk and cost.

“Legal operations are getting more involved,” Kaminski said, “and they’re finding that minimizing data proactively is not just best practice, it’s a necessity.” He warned that if data isn’t proactively remediated before a litigation event, it will inevitably become part of discovery, leading to exponential costs and risks.

Defensibility in the GenAI Era

While there’s growing excitement around Generative AI, adoption in legal workflows remains cautious. “There’s still fear around hallucinations and reliability,” Cohen acknowledged. “But ESI protocols remain the best safeguard for determining how GenAI and human review can complement each other.”

Importantly, Cohen emphasized that organizations need to actively manage their data environments and not just to comply with laws like the GDPR or CCPA, but also to defend against evolving threats, including weaponized DSARs (Data Subject Access Requests) and cyber breaches.

Action Steps for Legal Teams

So what can organizations do today?

  • Challenge legacy thinking. Reevaluate traditional workflows and consider how modern tools can shift functions leftward in the EDRM.
  • Embrace practical data minimization. Reducing data footprints helps control costs and limit exposure.
  • Think holistically. Understand the entire data universe from creation to retention to remediation.
  • Leverage AI responsibly. Use it where it helps most, but always under robust review protocols.
  • Find a sherpa. As Kaminski noted, “You don’t have to do it alone, but you do have to start.”

Conclusion

The key takeaway? The legal world must stop reacting to data and start governing it actively, strategically, and in place. The convergence of compliance, technology, and litigation readiness is creating both pressure and possibility. For those willing to rethink their processes and embrace modern tools, the data revolution isn’t a burden it’s a competitive edge.

www.Infinnium.com
Know your Data. Govern your Data. In Place.

Custodian Interviews: Critical to Defensible eDiscovery in the Age of Modern Communications

By Rick Clark, VP of Strategic Partnerships and Marketing at CloudNine, and Melissa Weberman, Counsel and Head of eData at Arnold & Porter

In today’s evolving corporate data landscape, custodian interviews—early interviews of key employees who hold relevant electronically stored information (ESI) —remain a cornerstone for defensible discovery. Even with today’s advanced analytics and AI tools, a thorough custodian interview can provide a major advantage in saving costs and managing discovery risks. As the volume and variety of corporate communication methods evolve—ranging from traditional email to short-messaging apps like Slack, Microsoft Teams, WhatsApp, and Signal—attorneys should consider sharpening their custodian interview techniques to identify and preserve relevant ESI. The stakes are high: poor interview and collection strategies can result in spoliation, sanctions, and reputational damage.

Start With a Clear Purpose

Custodian interviews serve multiple critical purposes in litigation, including:

  • Identify where relevant data lives, including on personal devices or unofficial “shadow IT” apps—i.e., any tool employees use for work without the company’s formal IT approval or retention controls (e.g., personal Dropbox, WhatsApp, or a private Slack workspace). This ensures no major source of evidence is overlooked early on.
  • Help preserve data and avoid spoliation, because by learning what data exists and where, counsel can promptly preserve it (for example, by issuing legal holds or suspending auto-deletion on systems). Failure to identify a source through interviews could result in data loss. For example, if a custodian uses an ephemeral messaging app, interviewing them quickly allows you to halt any auto-delete settings before relevant messages disappear.
  • Scope and focus the discovery effort, as a well-run interview arms you with information to negotiate a reasonable scope of discovery with the opposing side. You can learn which data is truly important—and what can be safely excluded—making discovery more proportional to the needs of the case. This can reduce unnecessary review of irrelevant data, saving time and money.
  • Uncover key facts and terminology, because speaking to custodians often reveals context that is not obvious from documents alone. They can explain project code names, acronyms, or unique jargon that they use, and critical date ranges and players. Knowing these details guides you in formulating better search terms or using analytics (e.g., recognizing a code word in emails that filters irrelevant documents). In turn, this improves the efficiency of downstream review and helps you spot important evidence faster.
  • Demonstrate a defensible process, as courts expect counsel to make a good-faith, thorough effort to find relevant ESI. By conducting and documenting these interviews, you can later show the court (or opposing counsel) that you took reasonable steps to identify and preserve all relevant information. This record becomes vital if there are ever challenges to your discovery process or accusations of missing data.

Being intentional can ensure the interview is productive and minimizes missed evidence. Before the interview, review the custodian’s role, potential data sources, and communication tools. Consider preparing a case-specific checklist or interview template—do not rely on a static form—to ensure you are properly prepared for the specific nature of the case and the client’s business processes.

 

Customize Based on Your Role

Successful custodian interviews and defensible collections require strong collaboration among in-house counsel, outside counsel, and service providers. In-house counsel aligns the interview process with the company’s internal policies, reassures employees, and facilitates access to systems. Outside counsel, meanwhile, brings an external perspective that shapes strategy, ensuring that questions are thorough and appropriately scoped, and keeping the process defensible. Service providers deliver the technology for efficient and secure data collection, processing, and hosting for review. They offer tools for real-time collection, develop secure workflows for managing diverse data sources, and generate detailed documentation that may prove critical if collection practices are later challenged in litigation. When all three groups—internal legal teams, external attorneys, and technology partners—work together seamlessly, the result is a defensible, efficient, and transparent discovery process that stands up to scrutiny and reduces risk.

 

Build Trust with the Custodian

Custodians are more likely to share relevant information if they understand that interviews are standard procedure and not indicative of wrongdoing (but it is important they understand that the interviewer represents the company, not the individual custodian). Establish rapport by:

  • Clearly explaining the purpose of the interview.
  • Reassuring them that the process is routine—not an accusation.
  • Emphasizing that the custodian’s cooperation protects the company and themselves.
  • Collaborating with in-house counsel to act as a bridge and underscore legitimacy.

Gaining custodian buy-in can increase cooperation and the quality of disclosures. Further, building trust early can pay dividends later when collections need to be supplemented or deposition preparation begins.

 

Modern Communications: Ask the Right Questions

Today’s employees communicate through a mix of chat apps, collaboration tools, mobile devices, and cloud platforms. Consider asking specifically about:

  • Chat applications (e.g., SMS, Slack, Teams, or WhatsApp) and whether relevant. messages sit in private channels or DMs.
  • Collaboration hubs (e.g., Confluence, SharePoint, or Google Drive).
  • Personal devices or accounts used for work.
  • Any unsanctioned “side” apps or cloud storage.

Be prepared for reluctance or lack of awareness or recollection. Use visuals or demos to jog memories.

 

Coordinate With IT and Records Personnel

It is often useful to speak with IT personnel who understand the company’s systems. They can provide a high-level view of standard data sources, retention policies, and system locations. However, always verify those details with the custodian’s actual practice. For example, IT might report that “all email is on the server, none is stored locally,” but an interview reveals the employee saved archives on a local drive contrary to policy. Similarly, a policy might say employees should not use USB drives or personal devices, yet a custodian may admit they routinely did so. Use the IT interview as a starting point, then confirm details with each custodian to help avoid blind spots.

 

Leverage Real-Time Collection and Screen Sharing

Where appropriate, use technology that enables real-time review and preservation of data. Screen sharing or live data exports during the interview can:

  • Validate custodian responses in real time.
  • Capture volatile or short-lived communications before they expire.
  • Prevent spoliation by reducing the lag between identification and preservation.

Tools that allow screen sharing, cloud sync capture, or mobile device previewing are particularly effective.

 

Document the Interview Meticulously

Consider taking the following contemporaneous notes:

  • Custodian identifiers and role: Record the custodian’s full name, title/department, and location, along with a brief description of his role in the matter. This provides context for his data and helps show you identified relevant custodians in good faith.
  • Interview logistics: Note the date of the interview, method (in-person/remote), and who conducted it. Consistency here supports defensibility, showing interviews were done timely (typically soon after the legal hold) and by appropriate personnel.
  • Legal hold notice: Document that the custodian confirmed receiving the litigation hold notice and acknowledged his preservation obligations.
  • Data sources identified: List every source of potentially relevant information the custodian uses, including:
    • Devices: Work and personal devices (computers, phones, tablets, external drives).
    • Email accounts: Work email (Exchange/Office 365, etc.) and any personal or secondary accounts used for work.
    • Network locations: Shared drives, department file servers, databases, and cloud repositories (SharePoint, Google Drive, etc.).
    • Business applications: Relevant enterprise systems (CRM, HR systems, finance databases) that the custodian accesses.
  • Communications and collaboration channels: Document chat or messaging apps (Microsoft Teams, Slack, WhatsApp, SMS/iMessage, etc.), social media or direct messages if used for business, and any ephemeral messaging platforms. Note if relevant content exists and how it’s preserved. If the custodian uses apps with auto-delete or self-destruct features (e.g. Snapchat, Confide, Wickr), record this and any preservation steps taken (such as disabling auto-delete or instructing the person to save screenshots).
  • Retention policies and auto-delete settings: Capture any information about data retention or deletion that could affect the custodian’s ESI. For example, ask if the custodian’s emails auto-delete after 90 days, if chat histories are retained, or if device data is routinely wiped. Document what you learn and any preservation steps taken. If the custodian had been manually deleting relevant data, note that and instruct (and document) that such deletions cease.
  • Custodian’s actions: Document any actions the custodian has already taken regarding his data, and record if he mentions any data loss or issues.
  • Follow-up steps and outstanding items: At the end of the interview, list any follow-up actions needed and track them. This might include scheduling a forensic collection of the custodian’s device, reaching out to IT about a newly identified server, or interviewing an additional person the custodian identified. Clearly document what will be done, by whom, and when. Maintaining this as part of the interview record ensures nothing falls through the cracks and evidences a continuing, diligent effort.
  • Additional custodians or data sources named: A good interview often identifies other people or systems that might have relevant data. Document any new custodians, departments, or repositories the interviewee mentions. This guides your next steps and creates a record that you are expanding the preservation scope appropriately.

By following the above checklist, legal teams can create a defensible paper trail of their custodian interviews. In the event of a discovery dispute or motion, your team’s diligent documentation—complete with who, what, when, and how you addressed custodian data—can serve as strong evidence of your good faith and compliance with eDiscovery obligations. This not only helps in court but also keeps internal eDiscovery projects on track by tracking what has been done and what remains outstanding at each stage.

 

Best Practices Recap

  • Start early.
  • Use a standardized interview form but tailor questions case-by-case.
  • Keep the tone transparent and cooperative.
  • Involve IT and cross-check what policies say versus real-world practice.
  • Document interviews, tools used, and preservation efforts meticulously.

 

Custodian interviews are more than an information-gathering step—they are a strategic moment to protect your client and ensure discovery obligations are met. By combining interview best practices with modern collection technology, legal teams can build a defensible foundation for any case.

Discovering Mobile Device Data: What to Expect from Your eDiscovery Solution

Discovery of data from mobile devices used to be occasional. Parties in litigation often agreed up front NOT to pursue data from mobile devices because it was so difficult and burdensome to do so. Collecting from the devices was challenging and time-consuming, as was the inconvenience to custodians who balked at giving up their mobile device for even a few hours!

In at least one case, formalizing the agreement not to pursue text messages (and other data) as an ESI stipulation came back to haunt the plaintiff when they realized the importance of those text messages and filed a motion to compel – only to have the Court deny the motion because of the stipulation to which the party had agreed. Ouch!

Today, the importance of data from mobile devices has grown to the point that they are routinely a source of discoverable data in all types of cases. The vast majority of Americans – 98% – now own a cellphone of some kind and over nine-in-ten (91%) own a smartphone. Mobile devices are just as ubiquitous at work – in a recent survey, 80% of IT executives said employees cannot do their jobs effectively without a mobile device.

That level of importance has extended to discovery of data from mobile devices, with the potential of severe sanctions for failing to preserve that data for discovery. In this case, a party received two adverse inference instruction sanctions (as well as being ordered to pay the claimants’ costs and attorneys’ fees for the sanctions motion) for failing to preserve data from five out of thirteen custodian mobile devices; while in this case, intentional deletion of text messages resulted in terminating sanctions against the plaintiff!

Mobile Device Data and Your eDiscovery Solution

The rise of importance of mobile device data (such as text messages and other short message formats) in discovery has made it critical for your eDiscovery solution to support the collection, ingestion, processing, analysis, review and production of those messages efficiently and effectively. Here’s what to look for:

Collection, Ingestion and Processing

Today, forensic and eDiscovery professionals are using a variety of tools to collect data from mobile devices. Here are three prominent providers specializing in mobile device data discovery today:

  • Oxygen Forensics: Oxygen Forensics offers Oxygen Forensic® Detective, an all-in-one digital forensic solution capable of extracting, decoding, and analyzing data from various devices, including mobile phones, computers, and cloud services. Note: Oxygen Forensics is a partner of CloudNine.
  • Cellebrite: Cellebrite is renowned for its Universal Forensic Extraction Device (UFED), a suite of tools designed for extracting and analyzing data from mobile devices. UFED supports a wide range of devices, including smartphones, drones, SIM cards, and GPS units, facilitating comprehensive data collection for forensic investigations.
  • ModeOne: ModeOne specializes in remote, targeted mobile data collection through its patented Software-as-a-Service (SaaS) framework. This solution allows for same-day collection of relevant data from smartphones without the need for physical device access or on-site personnel.

Given the popularity of all three solutions for mobile device data collection, Your eDiscovery solution must support the ability to ingest load-ready data from each of these formats efficiently and effectively.

Analysis and Review

Processing and ingesting the data from any of the three solutions above is one thing, but how that data is managed within your eDiscovery solution is just as critical. Because many eDiscovery solutions were built to support document-oriented data like emails and office files, they tend to force text and other short message formats into that same document paradigm, with little if any regard to where conversations begin and end. Doing so makes the data less useful for analysis and review.

Text and chat messages aren’t document oriented – they’re conversation oriented. Your eDiscovery solution must support the ability to analyze and review these messages in context with the rest of the conversation to determine their relevance to the case. The “rest of the conversation” could be in other text messages, email, Slack or any other communication format. And it could include images, audio, video, emojis or even geolocation data. The ability to efficiently and comprehensively analyze conversations is a must have for your eDiscovery solution today.

Production

While you may want to analyze and review the messages in a conversation format, that doesn’t mean you necessarily want to produce them that way. Most parties in litigation are still accustomed to a document format for production, so there’s no reason to “rock the boat” on those standards (at least yet). Your eDiscovery solution should support the ability to export text and other short message data into document formats for production.

Conclusion

CloudNine Review “checks all the boxes” for collection, ingestion, processing, analysis, review and production of text and other short message formats: ingestion support of all three major mobile device discovery solutions, conversation-oriented analysis and review, and production in industry-standard formats. Mobile device data is too important to your cases today to expect anything less from your eDiscovery solution.

Are you ready to take control of eDiscovery costs? Let’s talk about how CloudNine can help you save money while optimizing efficiency: Contact Us today.