Can mid-sized law firms use AI to punch above their weight?

At ILTACON 2026, David sat down with Early Stevens, CEO of Actionstep, to talk about what AI could mean for the mid-market.

Mid-sized firms don’t have the tech teams of BigLaw, but they still need strong systems across billing, workflows and practice management. And with hundreds of new tools appearing, the answer isn’t necessarily more software.

For Early, it’s about better platforms, cleaner data and fewer tools that actually work together.

AI could then help these firms move faster, operate more efficiently and deliver better outcomes without losing the human expertise behind the work.

A sharp conversation about the future of the mid-market law firm.

What if your law firm could actually use everything it already knows?

At ILTACON 2026, David sat down with Brandall Nelson, Director, Legal AI Solutions at NetDocuments, to talk about one of the biggest challenges behind AI: making a firm’s knowledge usable.

Brandall shared how NetDocuments’ Legal Context Graph can connect information that normally sits across documents, matters, practice groups and individual lawyers, then surface it when people actually need it.

That could mean getting up to speed on a matter faster, understanding a client relationship more broadly, finding the right internal expertise, or learning from work the firm has already done.

And the point isn’t simply adding another AI layer.

As Brandall puts it, the real value of a law firm is its knowledge. The opportunity is making that knowledge easier to find, verify and use.

A fascinating conversation about data, context and what makes legal AI genuinely useful.

Are law firms using AI because they need it, or because they feel like they should?

At ILTACON 2026, David sat down with Adam Cain, Chief Operating Officer at Hooper Law Office, for a grounded conversation about leadership, technology and making better decisions.

Adam’s career has taken him through technology, fire and EMS, managed services and now legal operations, and that background gives him a very practical way of looking at change.

His view on AI is simple:

Start with the problem.

What are you actually trying to solve?
Where is the process breaking?
And does AI genuinely make it better?

For Adam, the goal is to make meetings, workflows and back-end processes more efficient, without losing sight of the people doing the work.

He also talks about “triaging” problems first: map the process, involve the people closest to it, then decide what technology belongs there.

A practical conversation about AI, leadership and solving the right problems.