What Legalweek 2026 Revealed About the Future of AI in Legal

How legal organizations are moving from productivity gains to authoritative, scalable advantage

By Jeff Reihl, Technology Chairman, LexisNexis Legal & Professional

NEW YORK, March 23, 2026 — At Legalweek 2026, I hosted an AI Workshop that brought together managing partners, general counsel, innovation leaders, and technologists for a candid discussion about where artificial intelligence is truly heading in legal.

Across the workshop’s three panels – examining the state of AI across the legal market, rethinking ROI for AI in the legal world, and leading and thriving in the AI-transformed legal workplace – one message was unmistakable: the conversation has matured.

Twelve months ago, the dominant questions centered on AI experimentation and adoption. Questions like: “Should we pilot generative AI?” “How do we drive lawyer usage?” “How do we increase comfort with emerging tools?” took center stage. The focus was on testing, learning, and accelerating productivity.

This year, the conversation was far more sophisticated. Legal leaders are no longer asking whether to adopt AI. They are asking how to generate measurable ROI, how to embed AI into core workflows, and how to translate productivity gains into sustainable competitive advantage.

Five themes stood out:

1. Efficiency Was the Entry Point, Not the Destination

Early AI adoption in legal was tactical. Success was measured in hours saved. But efficiency alone does not create advantage.

AI compresses certain forms of work, yet it also expands what is possible. Law firms are discovering that while clients expect AI-driven cost reductions, AI simultaneously enables broader analysis, faster strategic insight, and entirely new types of work that would have been impractical or impossible before. As one panelist noted, some of the biggest long-term opportunities may come from capabilities firms simply couldn’t offer clients previously.

The conversation is shifting from “How many hours did we save?” to “How is AI improving the quality, scope, and impact of the work we deliver?”

2. Authoritative AI Is Now the Baseline

In legal, credibility depends on trust. Large language models can generate fluent answers but without authoritative sources, structured taxonomy, citators, and validation layers, AI produces plausible text, not reliable legal work.

As adoption matures, legal organizations are prioritizing systems grounded in validated content and transparent sourcing. The differentiator is no longer access to generative capability alone. It is access to AI built on authoritative foundations.

Trust is not a feature. It is now the standard.

3. From Tools to Repeatable, Scalable Workflows

In 2025, many firms experimented with AI at the task level. In 2026, leaders are focused on repeatability.

Scalable advantage does not come from isolated use cases. It comes from embedding AI into standardized drafting frameworks, compliance reviews, and enterprise workflows.

Organizations are also revisiting foundational infrastructure decisions, including build-versus-buy strategies and how AI integrates across heterogeneous technology stacks. As AI evolves from experiments to agentic systems, governance and organizational design become even more critical.

Scale requires discipline, and repeatability turns experimentation into enterprise capability.

4. Judgment and Accountability Remain Scarce

AI makes analysis abundant, yet human judgment remains scarce.

Throughout our discussions, one theme resonated clearly: AI does not remove accountability – it concentrates it. Senior legal professionals remain responsible for risk calibration, ethical considerations, and final decisions.

As AI accelerates output, the human bottleneck becomes more visible. The opportunity is not to replace expertise, but to elevate it, freeing lawyers to focus on interpretation, strategy, and client counsel.

5. Competitive Advantage Will Be Defined by Execution and Operating Model Design

As AI becomes table stakes, competitive advantage will come not from access to tools, but from how organizations redesign the way legal work is structured, delivered, and staffed.

The leaders in this next phase will be those who:

• Ground AI in trusted, authoritative content
• Integrate it into repeatable, enterprise-scale workflows
• Establish governance frameworks that address risk and accountability
• Align talent models with AI-enabled practice
• Measure ROI beyond hours saved, focusing now on higher-quality work, new services, and value creation

This shift is already reshaping the relationship between corporate legal departments and outside counsel. Corporate legal teams are under increasing pressure to reduce costs, and AI is enabling them to handle more work internally. In some cases, departments are performing portions of the analysis in-house and engaging their outside firms to validate conclusions or address the highest-risk aspects of a matter.

This raises important questions around responsibility, risk ownership, and how value is shared. The most successful firms are responding by working more closely with their clients to redesign workflows and create true win–win models that combine in-house efficiency with external expertise.

At the same time, the talent model for the profession is beginning to shift. As AI handles more foundational tasks, firms and legal departments must intentionally redesign training and evaluation to preserve professional judgment and long-term capability.

AI is not just a technology strategy. It is a talent strategy.

The Next Chapter

The legal industry appears to be moving through three stages:

1. Experimentation and adoption
2. Authority and integration
3. Scalable competitive advantage

For general counsel and managing partners, the mandate is clear. AI is no longer a pilot project. It is becoming foundational to how legal services are delivered, measured, and differentiated.

The future of AI in legal will not be defined by productivity alone. It will be defined by authority, scalability, and the ability to turn technological capability into sustained strategic advantage.

###