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What attorneys can do?
For more detail, Visit Booth# 343 at ALM Legalweek 2026
Click for video: https://www.youtube.com/watch?v=dnxI-z9kqwc
Many legal teams have already proven that AI can deliver value.
Pilot projects show promising results in document review, contract analysis, investigations, and legal research. But when it comes time to scale these initiatives, progress often slows — or stops entirely.
The reason is almost always the same: privacy and regulatory risk.
AI systems require large volumes of high-quality, real data. Yet as AI initiatives expand, legal teams face growing concerns around:
What works in a controlled pilot environment often breaks down at scale.
To scale legal AI responsibly, privacy cannot be treated as a downstream control. It must be built into the foundation of how legal data is managed.
Nymiz enables organizations to scale AI initiatives by ensuring that sensitive legal data is protected before it is used for training, analysis, or sharing. This infrastructure-level approach allows legal teams to:
By standardizing anonymization at the infrastructure level, organizations can scale AI initiatives more efficiently; often reducing preparation time by up to 80% while maintaining close to 85% anonymization accuracy across growing datasets.
When privacy is embedded into legal data infrastructure, scaling AI becomes a matter of expansion — not risk management.
Legal teams gain the ability to:
This shift turns privacy into a strategic advantage rather than a limiting factor.
We’re meeting with legal and security leaders during Legalweek to discuss how privacy-first collaboration can scale without adding friction or risk.
Schedule a meeting with our team before Legalweek to make the most of your time in New York.
And if you’re onsite, you’ll find us at Booth 612.
Cat Casey, known to many in legal tech as “Technocat,” had a great interview with Brian Kelley, VP of Product at CloudNine about one simple theme: Choice matters more than ever in modern eDiscovery.
It’s easy to frame on-premise deployment as a relic of the past. But that’s not what we’re seeing.
In certain environments like regulated industries, government and sensitive investigations control of the data still matters. Data residency matters. Air-gapped review environments matter.
What we discussed is not nostalgia. It’s response as many eDiscovery platforms are moving to “Cloud Only” options.
Modern eDiscovery teams want:
Choice is no longer a luxury feature, it’s a risk management strategy.
See recent case studies, AI resources, and innovations, all grounded in defensible process and real-world results.
As the legal industry gathers this week, TCDI is showcasing the work behind the conversations. We’ve launched a dedicated Legalweek Event Page designed for those who want more than buzzwords. Inside, you’ll find our latest case studies, thought leadership, AI resources, and product innovations, all grounded in defensible process and real-world results.
From earning the 2025 LegalTech Breakthrough Award for Best Use of AI in eDiscovery for the second consecutive year, to consistently helping clients achieve measurable results, TCDI continues to focus on what matters most to legal teams. Practical innovation. Smarter data strategy. Process-driven AI that stands up in court and scales in practice.
Explore the page to see what we’ve been building and how it can support your next matter: https://www.tcdi.com/legalweek-2026/
Turn institutional knowledge and best practices into structured, repeatable processes, scaling standards across teams.
In this video, Yannic Kilcher, PhD, co-founder and CTO at DeepJudge, breaks down the surprisingly seamless way that frontier models like Claude can be wired directly into a firm’s proprietary data. He shows step-by-step how the Model Context Protocol (MCP) allows Claude to call DeepJudge to perform permission-aware searches across a firm’s own prior matters and work product. You’ll learn why generic LLM wrappers are becoming table stakes, and how the real power of legal AI lies in anchoring models to a firm’s institutional knowledge, context, and provenance.
See how Jarvis’ new OCR Agent extracts text from documents—including handwritten notes—quickly and accurately.
This demo walks through:
Empower your legal team in their AI journey. Easily automate bespoke and routine processes, include agentic steps in workflows, create AI agents, and simplify how you work.
Now, legal teams can build and deploy custom, bespoke enterprise AI agents to automate a wide variety of legal tasks. ELM’s Automation Agent (ELMA) combines deep legal expertise with powerful Agentic AI capabilities.
Build custom legal workflows by describing modular steps in plain English. Simplify, test and scale automations with clarity and precision, and deploy instantly.
Click to learn more and visit Elevate at Legalweek, booth 461.
For many legal teams, privacy and compliance are still viewed as necessary constraints, obligations that slow down workflows, limit data access, and complicate collaboration.
But this mindset is changing.
As legal departments adopt AI, analytics, and more collaborative ways of working, privacy is increasingly becoming a strategic requirement, one that can either block progress or enable it.
Traditional approaches to privacy often rely on:
These methods may reduce risk, but they also reduce efficiency and data value. Legal teams are forced to choose between protecting data and making meaningful use of it.
Nymiz helps legal teams shift this dynamic by transforming privacy from a reactive control into a proactive capability embedded within legal workflows.
Through automated anonymization and redaction, Nymiz allows organizations to protect sensitive data without removing the context and structure that legal work depends on. This makes it possible to:
By automating anonymization and redaction at scale, legal teams can dramatically reduce the manual effort required to protect sensitive data; often saving up to 80% of the time traditionally spent on manual privacy and compliance tasks.
When privacy is integrated early and applied consistently, legal teams gain the freedom to innovate responsibly. They can experiment with new technologies, adopt AI-driven tools, and collaborate more effectively, all while maintaining control over sensitive information.
This approach enables legal departments to move beyond a compliance-first mindset and toward a trust-first model, where privacy supports rather than restricts progress.
As regulatory expectations grow and legal technology evolves, the ability to operationalize privacy will be a key differentiator for legal teams.
At Legalweek 2026, we’re looking forward to discussing how organizations can rethink privacy as a core enabler of legal innovation, not just a regulatory obligation.
We’re meeting with legal and security leaders during Legalweek to discuss how privacy-first collaboration can scale without adding friction or risk.
Schedule a meeting with our team before Legalweek to make the most of your time in New York.
And if you’re onsite, you’ll find us at Booth 612.
