From tools to transformation: embedding AI into legal workflows with Protégé

29 March, 2026

Authored by Lindsay O’Connor, General Manager Content Pacific & Content Strategy APAC

For years, legal technology has promised greater efficiency. Firms have invested in research platforms, document automation, workflow tools and, more recently, artificial intelligence.

But the biggest shift is not simply that lawyers can do the same work faster. It is that AI is starting to change how legal work is structured.

In a live poll during our Protégé Workflows Webinar on 25 March 2026, 47.2% (109 of 231 respondents) said their organisation is mainly using AI to assist with legal research - while only 8.2% (19) said they are redesigning internal workflows.

That gap captures where the market is right now: strong interest in AI, but a much bigger opportunity in workflow transformation.

AI is no longer just another tool lawyers use at certain points in a matter. It is beginning to be embedded directly into the workflow itself, supporting legal professionals at the point of need and connecting tasks that have traditionally sat in separate stages of the process.

That is where Protégé Workflows comes in.

From point solutions to connected workflows

Traditionally, legal work has followed a linear path:

Search → Find → Analyse → Draft → Review

Technology has improved each of these steps in isolation. Research tools made it easier to find relevant material. Automation sped up repetitive drafting tasks. AI introduced new ways to summarise, review and generate content.

What is changing now is the ability to connect those steps inside a more integrated workflow.

In a workflow-led model:

research can inform drafting in real time
drafting can be shaped by built-in analysis
analysis can feed directly into client advice
legal professionals can work with AI embedded within the flow of the matter, rather than outside it

This represents a meaningful shift from fragmented, task-based tools to connected workflow solutions aligned to how legal work is actually done.

It also reflects changing client expectations. Clients want speed, efficiency and commercial insight. At the same time, they expect accuracy, accountability and confidentiality. Legal teams are therefore under pressure to improve productivity without increasing risk.

As a result, the conversation has moved on. The question is no longer simply, “Should we use AI?” It is, “How do we use AI in a way that is safe, responsible and worthy of legal practice?”

Redefining everyday legal work

AI is already changing the day-to-day reality of legal work.

Tasks that once took hours can now be completed in minutes. First drafts can be generated quickly. Large volumes of case law can be summarised at scale. Contracts can be reviewed for risk with far greater speed.

But in legal practice, speed alone is never enough. Speed without accuracy is not progress. It is exposure.

Legal work takes place in a high-stakes environment where precision, accountability and professional judgment matter. That is why general-purpose AI tools can present real challenges in a legal setting. Without the right foundations, they may lack:

authoritative legal grounding
jurisdictional awareness
current legal content
transparency around sources and reasoning
auditability and traceability

The risks are no longer theoretical. Courts, regulators and professional bodies have all drawn attention to the dangers of relying on AI outputs that are inaccurate, outdated or insufficiently verified. Fabricated citations, incorrect legal propositions and inappropriate handling of confidential information are not minor technical issues. They go to the heart of professional responsibility.

AI can accelerate legal work, but it cannot replace legal judgment.

Instead, the lawyer’s role is evolving. Increasingly, legal professionals are directing, reviewing and validating AI-assisted work, applying expertise, context and judgment to ensure the output is sound.

Why governance matters as much as productivity

AI adoption in legal practice is not simply a technology decision. It is a governance decision.

It is easy to focus first on capability: what AI can draft, analyse, summarise or automate. But in legal practice, the more important questions often sit elsewhere:

How is the output grounded?
What content is being used?
What controls are in place?
Where is data processed and stored?
Who has access?
How are professional obligations being supported?

These are not side questions. They are central to whether AI can be adopted responsibly in a legal environment.

The most successful firms are not the ones avoiding AI altogether, nor the ones adopting it without discipline. They are the ones embedding AI into secure, controlled workflows with the right oversight, safeguards and governance frameworks.

Why authoritative content matters

The value of AI in legal practice depends on the quality of the content beneath it.

There is a profound difference between AI that generates plausible language and AI that is grounded in authoritative, curated legal sources. In law, plausible is not enough. Lawyers need outputs they can verify, cite and stand behind.

When AI is grounded in trusted legal materials, its outputs are more likely to be:

verifiable
citable
jurisdiction-specific
aligned with current legal developments
suitable for use within professional legal workflows

Trust is the currency of legal practice. Lawyers must be able to explain where an answer came from, assess whether it is reliable, and use it with confidence in a professional setting.

Without authoritative content, AI may produce answers. With it, AI can support legal work in a way that is more defensible, more transparent and more useful.

Introducing Protégé Workflows

With Protégé Workflows, LexisNexis is bringing AI directly into the structure of legal work itself.

Rather than treating AI as a standalone assistant for isolated tasks, Protégé Workflows is designed to support the end-to-end flow of legal work by bringing together:

Authoritative legal content
Firm-specific knowledge
Matter-specific context
Structured workflow design
Governance and control

This approach moves beyond simple task automation. It is designed to support the full lifecycle of legal work in a way that is more connected, consistent and secure.

Protégé Workflows enables legal teams to:

Work through structured processes aligned to how lawyers actually operate
Embed governance, auditability and control into ai-assisted tasks
Combine LexisNexis content with a firm’s own internal knowledge
Tailor workflows to particular practice areas, matter types or organisational needs

The result is not just more efficient legal work. It is more connected legal work, where productivity gains can sit alongside professional standards, transparency and trust.

What we heard in the Protégé Workflows webinar

During our Protégé Workflows Webinar, we asked attendees how their organisations are currently using AI and what they need from it in practice. The results offered a useful snapshot of where the market is today and where expectations are heading.

Poll: How is your organisation currently using AI? (n=231 responses)

2%: We are mainly using AI to assist with legal research
2%: We have used AI to automate some everyday tasks
4%: We have not yet integrated AI into any of our everyday tasks/workflows
2%: We are using AI to redesign our internal workflows

These results suggest that many legal teams are still in the early stages of adoption, using AI primarily for research or limited task support. A smaller but important group has already moved into workflow redesign, which is where the long-term transformation is likely to be felt most clearly.

Poll: What is your need for authoritative legal content in your workflow? (n=265 responses)

3%: I require multiple types of authoritative content
7%: I require practical guidance
3%: I require commentary/analysis
0%: I require case law
9%: I require legislation/statutes
8%: I do not require authoritative legal content

The message is clear. If AI is going to be embedded into legal workflows, most professionals want it grounded in a mix of authoritative sources, not generic outputs alone.

Webinar Q&A highlights: grounding, control and adoption

The webinar Q&A reinforced a consistent theme: AI can only support legal workflows effectively when it is transparent, controlled and grounded in the right content.

What is the difference between pre-built workflows and the Custom Workflow Builder?

Pre-built workflows offer a more structured alternative to ad hoc prompting for common legal tasks. The Custom Workflow Builder is designed for more complex, multi-step processes, particularly where legal teams want to combine activities such as research, analysis and drafting within a defined workflow.

How can users understand what the AI is doing before it answers?

A key part of trust is visibility. Legal professionals want to know how a system is approaching a task and what sources it is relying on. The webinar discussion highlighted the value of guided, transparent experiences that allow users to review how the work is being grounded before a final response is generated.

What content can Protégé Workflows use to generate and ground outputs?

Workflow-led AI becomes significantly more useful when it can draw on both authoritative legal content and relevant internal context. That includes trusted LexisNexis content as well as a firm’s own knowledge and documents, helping legal teams work with greater relevance and consistency.

How are privacy and control being addressed?

Questions around prompts, uploaded documents, model training and data handling remain central to adoption. That reflects the reality that legal teams are not only interested in what AI can do, but in how it is governed, what controls exist, and whether it can be used in a way that aligns with confidentiality and professional obligations.

To learn more about how we approach security, privacy and data governance, visit the LexisNexis Trust Centre.

What support is available to help teams adopt workflow-led AI?

Embedding AI into legal workflows is not just a feature rollout. It is a change program. Adoption depends on making workflows usable, practical and accessible, while also supporting teams as they rethink how legal work is structured and delivered.

The future of legal work is workflow-led

What matters now is how AI is embedded into legal work, and whether that happens in a way that is grounded, controlled and aligned with professional standards.

This is why the move from tools to workflows matters. It is not just a technology story. It is a trust story.

In legal practice, AI must do more than generate output. It must support better decisions, stronger processes and more defensible work. That requires authoritative content, governance, transparency and human judgment at every stage.

Protégé Workflows is part of that next step: helping legal teams move beyond isolated use cases and toward a more integrated model of legal work, where AI can enhance productivity while preserving the standards the profession depends on.