Technology has changed how legal professionals work. Since the pandemic accelerated the adoption of remote proceedings and other digital tools, the industry has faced a distinct pressure: introduce new technology in an environment where complex, high-stakes work leaves no room for error.
That pressure produced a discipline worth borrowing, whatever industry you’re in. Technology creates value only when it serves a clear purpose, fits how people actually work, and strengthens the service delivered around them. Everything else is just noise wearing the label of innovation.
In practice, that begins with the outcome – before a single tool is ever selected.
Start With the Outcome and Work Backward
Every technology investment should begin with the same question: what are we trying to accomplish? Start with the business problem, define the desired outcome, establish measurable goals, then evaluate whether a given solution delivers the result, not whether it’s impressive on its own terms.
Consider an AI-generated transcript summary. The objective isn’t “use AI”. It’s likely to reduce the time an attorney spends reviewing a deposition by delivering the summary faster, while maintaining a high level of accuracy. That gives the organization something concrete to test. Pilot the solution at a small scale, measure it against the intended outcome, and only then decide whether it’s ready to scale.
The same discipline applies to internal investments. If the goal is improving throughput of an operational process, define the expected improvement first, then test whether the technology delivers it. This shifts the conversation from what a technology promises, to what the organization ultimately needs it to accomplish, which is a far more disciplined place to make decisions from.
Getting the outcome right is only half the equation. The other half is making sure the technology fits how people actually do the work, rather than asking them to adapt to it.
Build Technology Around the User
Legal professionals today work across remote, hybrid and in-person settings, often within the same week. Effective technology should support all three.
If a tool helps an attorney prepare an outline or develop questions ahead of a proceeding, its usefulness should not depend on whether that proceeding ultimately happens remotely or in person. The capability should support the workflow, not dictate it.
The principle holds across industries: leaders should start by understanding how teams using a solution operate, where they encounter friction, and where the experience can be simplified. Even the most sophisticated technology can fall short when it isn’t aligned with the realities of the organization. The best tools adapt to the user. The weaker ones ask the user to adapt to them.
That same logic scales up. It’s not enough for technology to fit the individual user; it has to fit the broader service delivered around them.
Technology Works Best When It Strengthens the Service
The most effective technology gets integrated into the service experience rather than becoming another system users have to manage.
In litigation, attorneys and legal teams carry significant coordination loads around every matter: scheduling proceedings, obtaining records, preparing for testimony, managing transcripts. An attorney’s highest-value work is the substance: developing strategy, preparing arguments, serving the client. Every minute spent coordinating logistics is a minute taken from that.
Technology-enabled services close that gap by managing the activities before, during and after a proceeding, rather than adding another dashboard to check. For me, that’s one of the clearest tests of whether an investment is working: does it give professionals more time for the work that actually requires their judgment? Leaders in any industry should hold new solutions to that same standard. A tool that simply hands professionals another system to manage has missed the point, however sophisticated it is.
Security Isn’t a Feature. It’s a Prerequisite
In a high-stakes environment, security can’t be something leaders validate after they’ve already decided they want the technology. It has to be part of determining whether the solution is viable in the first place.
The legal industry routinely handles personally identifiable information, protected health information and attorney-client privileged material. Security and compliance therefore have to be part of the decision from the start, not a checkbox at the end of procurement.
Organizations should expect more than assurances from vendors. Certifications like SOC 2 Type 2 and HIPAA compliance are the beginning of the security conversation, not the end. Leaders should look for independent validation and alignment with established frameworks such as the NIST Cybersecurity Framework and understand what sits behind those claims: how a provider monitors its network, tests for vulnerabilities, prepares for incidents, and maintains backups and redundancy.
AI adds a further layer. Organizations need to know how their information moves through an AI-enabled system, where that data goes, and whether a provider uses it to train models. Those are questions to answer before sensitive information enters the system, not after something goes wrong.
Even the right outcome, the right user experience and the right security posture depend on one more thing: whether the roadmap itself was built on the right priorities.
Listen Before Building the Technology Roadmap
An effective technology roadmap starts with asking questions and listening to the people closest to the work. Business leaders and subject matter experts often have the clearest view of the challenges affecting their work. When the same friction surfaces across multiple teams or functions, that pattern is a signal — it’s where the investment should be prioritized.
A roadmap should reflect the priorities of the business, not the preferences of the IT organization. Listening is also what keeps leaders from solving the wrong problem: a solution can be technically sound and still miss what end users specifically need.
Once priorities are clear, strong management discipline moves the organization from discovery to execution, keeping teams aligned and accountable, which matters most during transformation, when decisions rarely affect just one team. And because tools and processes will keep changing, organizations need a culture that can keep learning and adapting alongside them.
Technology Should Make the Work Better
The pace of innovation will keep accelerating. What shouldn’t change is the standard leaders hold it to: a clear understanding of the problem, a disciplined approach to evaluating solutions, and a focus on measurable results. The strongest solutions fit into the broader service experience, account for security from the outset, and give people more time to apply their own expertise.
The tools will change. That standard shouldn’t.
