Law Firm Data Strategy & Modernisation: London

Law firms no longer suffer from a lack of data - they suffer from data that cannot be trusted, connected, governed, or used at speed.

Inside Legal Data: New York is a one-day, senior-level discussion focused on how leading firms are rebuilding their data foundations, moving beyond IT projects, to strategic infrastructures for pricing, delivery, risk management, and AI.

Across the US legal market, data has become the quiet constraint on nearly every major strategic ambition. Firms want:

AI systems they can rely on
Pricing and profitability insight beyond backward-looking reports
Better coordination between KM, IT, innovation, finance, and practice leadership
Stronger answers to client questions about transparency, security, and value

But many are discovering the same thing: without a coherent data strategy, everything else stalls.

Inside Legal Data: New York brings together firm leaders and operators who are actively working through this transition, from fragmented information toward governed, usable, decision-grade data.

What We’ll Explore

Rather than abstract frameworks, the discussion is anchored in real operational questions firms are facing right now:

Data as Firm Infrastructure: How leading firms are treating data as a shared, strategic asset, not a by-product of systems or matters.
Governance Without Gridlock: Designing ownership, accountability, and access models that enable progress without slowing the business.
AI Readiness in Practice: What “AI-ready” actually means inside a law firm, and why most obstacles are data-related, not model-related.
From Insight to Action: Moving beyond reports and dashboards toward data that informs pricing, staffing, investment, and risk decisions.
The Human Layer: Data literacy, incentives, and cultural adoption, why technical solutions fail without behavioral alignment.
The Client Perspective: How in-house legal teams are evaluating law firms’ data maturity, transparency, and operational credibility.

The next phase of legal transformation will not be driven by technology alone, but by how well firms organize, govern, and use their data.

Join your Peers. Join the Discussion.

Gain a comprehensive understanding of the entire data lifecycle and how to build a holistic data strategy tailored for law firms.
Learn from experienced practitioners and industry innovators about real-world successes and challenges, including data extraction, warehouse buildouts, governance, analytics, and AI readiness.
Take away practical frameworks and actionable next steps you can implement in your firm, whether you’re at the beginning of your data journey or looking to mature existing capabilities.
Connect with peers, thought-leaders, and cross-functional professionals in legal, technology, operations, and leadership, build relationships that can support your firm’s transformation roadmap.

Our Speaking Faculty

We are curating a senior, practitioner-led faculty for Inside Legal Data and welcome proposals from leaders actively responsible for designing, governing, and operationalizing data at scale within legal organizations.

We welcome contributions from those who can:

Share a real-world case study on embedding wellbeing into firm culture, leadership practice, or operating models
Lead a strategic discussion on wellbeing as leadership accountability, professional responsibility, or organizational design
Facilitate a practical session or workshop on measuring wellbeing, preventing burnout, building psychological safety, or sustaining high performance in demanding legal environments
Explore sponsorship or partnership opportunities to engage a senior community of law firm leaders, people strategy professionals, and wellbeing practitioners shaping the future of the profession
If you are actively involved in designing, delivering, or governing wellbeing at scale within legal organizations, and want to contribute to a serious, forward-looking conversation, we would welcome hearing from you.

As artificial intelligence accelerates transformation across the legal industry, law firm leadership must rethink how data strategy underpins long-term success. In this executive-level discussion, C-suite leaders will examine how AI integration is reshaping the firm’s approach to data governance, infrastructure, and value creation. The session will explore the evolution of data strategy from operational support to strategic differentiator, the changing composition of data and technology teams, and how hiring models are adapting to meet new demands. Panelists will also share their 3–5 year outlook on where law firm data strategy is headed, and what firms must prioritize today to remain competitive in an AI-driven market

As law firms accelerate their investment in AI, the quality of their outcomes depends entirely on the strength of their data governance. This session explores how to design and implement a robust data governance program that addresses inconsistent data entry, reduces risk, and restores confidence in firmwide information assets. Attendees will learn how poor data hygiene directly impacts AI performance, why stakeholder education is critical, and how to build accountability across the organization. We will also examine how AI tools consume and interpret firm data, helping leaders better understand the operational, financial, and reputational risks of weak governance and the strategic advantage of getting it right.

If AI is the engine, data is the fuel. This session explores why law firms must tightly align their data strategy with their AI strategy to achieve meaningful results. A weak or fragmented data foundation can undermine even the most advanced AI tools, making governance, data quality, and normalization critical to long-term success. Attendees will examine how to implement structured data governance, prioritize accuracy without stalling innovation, and embrace a “progress over perfection” mindset. Through a practical framework that Slido Questions: works backwards from AI objectives to strengthen core data infrastructure, this session will guide firms in building a cohesive, future-ready data strategy that enables AI to deliver measurable value.

As legal AI shifts from tools to autonomous agents, governance must evolve from policy to operational control. This session explores how the Model Context Protocol (MCP) creates a structured layer between AI systems and firm data, enabling permissions, standardized prompts, validated workflows, and auditability by design. Attendees will gain a clear understanding of how MCP reduces risk, prevents data leakage, and supports scalable, secure AI deployment, along with practical guidance for moving from experimentation to controlled enterprise use.

As firms invest in AI, data teams are being pressed to deliver more, faster than ever. It’s no longer just attorneys who need the advantage of AI augmentation. To meet the moment, law firm data teams need to be supercharged by AI as well. This session explores how data leaders can use AI augmentation across tools, workflows, and operations to expand what their teams can accomplish, even as demand continues to accelerate. This is a practical response to the growing gap between what the business now expects and what teams equipped with traditional tools can sustainably deliver. For data professionals in global firms, the question is no longer whether AI will change what’s expected of them. That change is already underway. The real question is whether their teams are equipped to meet the moment

Topics we’ll explore include:
Expanding capacity without expanding teams How AI augmentation can reshape how work gets done across data, analytics, operations, and governance, amplifying individual contribution and overall throughput.
AI as part of the data team The role AI‑driven automation and agent‑based capabilities can play in absorbing routine execution and creating space for higher‑value work.
Confronting accumulated complexity How teams are using AI to better understand, stabilize, and evolve complex data estates, turning inherited constraints into something more workable.
Scaling output as expectations rise What it means to keep pace with growing demand for data‑driven insight without relying on unsustainable effort or heroics.
From capability to confidence How a well‑equipped data team becomes a trusted, durable engine behind firm strategy, and the operating mindset that supports that shift.

This case study examines how a law firm partnered strategically with a vendor organization to improve data extraction and build a purposeful taxonomy framework that transformed firm activity into actionable intelligence. By defining key data points and aligning on governance and quality standards, the firm developed a more accurate, structured view of its work, enabling faster and more precise client responses. The session highlights lessons learned in vendor collaboration, communication strategies that reduced errors, and the practical steps required to create a data ecosystem that enhances efficiency, strengthens knowledge visibility, and accelerates client deliver

As the legal industry continues to evolve at an unprecedented pace, law firms must design data strategies that are not only resilient but adaptable. This session explores how to create an agile data framework that enables firms to anticipate change, pivot quickly, and remain competitive in an AI-driven environment. Attendees will examine how staffing models are shifting in response to emerging technologies, what skill sets are now essential, and how to build cross-functional teams capable of responding to rapid transformation. Learn how to move beyond reactive planning and instead implement a forward-looking data strategy that positions your firm ahead of disruption rather than behind it.

As AI reshapes the legal industry, a firm’s data strategy has become a core business imperative, not just a technology initiative. This session will explore how law firm leaders can build and communicate a compelling business case for sustained investment in data infrastructure, governance, and AI-enabled tools. Attendees will examine the financial planning required to support long-term technology roadmaps, the critical importance of clean, structured data to maximize AI performance, and strategies for securing executive alignment around ongoing investment. The panel of experts will also address how to transparently communicate data strategy to clients, demonstrating how responsible data management, thoughtful tool selection, and AI-driven efficiencies strengthen trust, enhance service delivery, and create measurable value in the client relationship.

Inside Legal Data

From Information to Infrastructure

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Agenda

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