Yath Ithayakumar on AI: Why Your Org Chart Is Your AI Strategy

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By Yath Ithayakumar, Chief Transformation Officer, Morgan & Morgan

 

Artificial intelligence is changing how law firms think about productivity, technology, and growth. But Yath Ithayakumar, Chief Transformation Officer at Morgan & Morgan, believes the firms that get the most from AI will look beyond the technology itself.

The first question should not be, “Which AI tool should we buy?”

It should be, “How should our organization change now that this technology exists?”

At Morgan & Morgan, we didn’t grow into America’s largest personal injury law firm by simply adopting the latest technology. We took a leap of faith and made strategic organizational changes before we had fully adopted those tools. This was uncharted territory for the legal industry, yet we bet that the technology was ready to build on and that we could reshape our firm around it.

Over the past 10 years, we’ve seen that bet and many others pay off massively. Our revenue grew 10x, from $250 million to $2.5 billion, while our profit grew 20x over that same period.

Today, we’ve applied the same organizational strategy to the AI revolution.

Before asking which AI tools to use, consider how to structure your firm in order to fully benefit from AI. Your org chart is increasingly part of your AI strategy.

 

Audit Your Team’s Tasks, Not Just Their Roles

Before you evaluate a single AI tool, take a hard look at how your people spend their time, particularly those who generate the most value.

Start by listing every responsibility your paralegal handles in a given week. Do the same with every role on your team: attorneys, case managers, legal assistants.

Then determine which of those tasks could be automated: scheduling, document intake, sorting mail, tagging files, chasing down records.

You may find that a meaningful portion of what your staff does every day is work that AI can handle now with a small quality-assurance check built in.

To ask whether AI can “replace” a particular job misses the mark. A single role can contain dozens of different responsibilities, and AI will not affect all of them equally.

The better question is which tasks technology can remove or accelerate and what your people could accomplish if that time were given back to them.

 

Rethink Roles Alongside Incentives

Once you’ve identified those tasks, the more important question becomes: What meaningful work can my staff do with that recovered time?

Here are a few possibilities to consider:

  • Increase client satisfaction with more comprehensive communication
  • Drive case value by obtaining key medical documentation
  • Ensure bills are submitted and paid correctly
  • Identify liens early and review related ledger items
  • Assist clients with receiving the proper medical treatment for their injuries
  • Search more exhaustively for additional coverage on cases

But redesigning the work is only part of the equation. You also have to redesign how performance is measured and rewarded.

You can’t measure a paralegal or case manager the same way when their primary responsibilities are now automated. Define what strong performance looks like in the new workflow, then hire, measure, and reward accordingly.

For example, if AI becomes responsible for demands, it no longer makes sense to award bonuses to case managers based on the number of demands they produce. Instead, you can create metrics around client communication and satisfaction, the volume of work they can effectively manage, or other higher-value activities the technology has freed them to perform.

The foundation of personal injury is incentive alignment. When a firm evolves its roles and incentives as it implements AI, team members can take on more responsibility, stay motivated, and be rewarded accordingly.

The result can be stronger performance, higher retention, and better outcomes for clients.

This matters even for smaller firms.

A 10-person firm might have three people in pre-litigation, three in litigation, and two on closings. With the right tooling, pre-litigation work can move faster and with fewer touchpoints.

That doesn’t necessarily mean smaller teams. It means those teams can take on more complex work or a larger volume of matters without burning out.

AI strategy, in other words, can make the existing workflow faster and can change how you structure the workflow in the first place.

 

Transparency Is Part of Transformation

Being early adopters of technology increased our operational transparency and transformed the firm in the process.

Our tools gave us case-level visibility: inventory sizes, litigation rates, where fees actually came from.

The data exposed a serious pain point: our best litigation attorneys were spending most of their time in pre-suit work.

We restructured our pre-suit department to operate more independently, freeing up our best attorneys to focus on litigation.

Before we made these organizational changes, every attorney had their own team of case managers, paralegals, and litigation assistants. Separating our pre-suit and litigation work enabled our top litigators to focus their time on managing teams of attorneys working on catastrophic injury cases and achieving better results for our clients.

The technology gave us visibility into how work was actually being performed, and that visibility allowed us to rethink the organization around it.

We developed a global vision for growth, standardized operations across all offices, and redesigned workflows to create more value.

That same principle applies to AI today. The technology is useful on its own. But its larger value may come from what it reveals about how your organization should work differently.

 

End the Pilot Loop

You don’t need to be an expert on every new AI tool that hits the market.

You need to be an expert on your own firm’s operations: how work flows, where time gets wasted, and what your people could accomplish if the low-value tasks were taken off their plates.

Run the pilot, but don’t get stuck in a pilot loop.

Rather than waiting for the exact right tool, design your firm’s operations around technology. The worst decision you can make when it comes to technology is no decision at all.

Changing how people work can be complicated and challenging. The best time to start that process is now.

We’ve continually bet on technology and reorganized our firm structure to capture the maximum benefits. Now, our best people are doing better than they did before.

And the good news is that you don’t need a thousand attorneys or a nine-figure budget to apply this framework.

  • Start with the work.
  • Identify what technology can remove.
  • Decide where your people can create more value with the time they get back.
  • Then make sure your roles, metrics, compensation, and organizational structure evolve with the technology.

That is where AI strategy becomes organizational strategy.

 

About the Author: Who Is Yath Ithayakumar?

Yath Ithayakumar is Chief Transformation Officer at Morgan & Morgan. His work focuses on technology-enabled transformation, artificial intelligence, operational strategy, and finding new ways to create organizational leverage across one of the country’s largest law firms.

He oversees technology and operations, building the systems and infrastructure that help Morgan & Morgan scale nationally. 

His broader perspective is simple: technology creates the greatest value when organizations are willing to change along with it.

Disclaimer
This website is meant for general information and not legal advice.