From Clients to Collaborators: AI’s New Partnership Model for Legal Tech

By Mike Coen, Chief Technology Officer

Excerpt from International Legal Technology Association’s Pulse, August 8, 2026. 

Imagine sitting in a room with the engineers who build your legal software, collaborating to turn your workflow frustration into working code before the meeting ends. That’s no longer a hypothetical.

For decades, legal technology has been built using a familiar model. Clients identified problems; software providers gathered requirements; product teams prioritized road maps; engineers built the solutions; and many months later, new capabilities appeared in a release. That approach reflected the economics of software development. Building enterprise software required significant time and investment, making long planning cycles and carefully managed road maps both necessary and practical.

The result was an inevitable gap between the people performing legal work and the teams building the technology they depended upon. I define that gap as “distance to code.” Distance to code is the measure of how quickly a software provider can learn from its users and translate that learning into production software. Historically, reducing that distance was difficult. Every support ticket, customer meeting, feature request, and road map review added time between discovering a problem and delivering a solution.

Artificial intelligence is changing those economics. AI tools are now accelerating even agile workflows, shrinking the time gap between engineering and deployment. Instead of relying on mockups and specs, teams can build and refine in real time. Involving clients and primary users in these development sessions makes deployment significantly faster and cleaner, since feedback happens live instead of after the fact.

Much of the industry’s attention has focused on how lawyers use AI to draft documents, summarize evidence, or conduct research. Equally significant is how AI is transforming the way legal technology is created. By accelerating software design, development, validation and deployment, AI allows engineering teams to spend less time on routine implementation and more time learning directly from users. AI does not reduce distance to code by itself, but it makes entirely new ways of building software economically practical.

That shift creates an opportunity for legal technology providers to rethink their relationship with clients. The gap between users and developers is closing. Primary users (i.e., law firms, insurers, corporate legal departments, and litigation professionals) no longer just provide feedback as a source for development requirements but can actively collaborate on building the technology of their dreams. Instead of providers periodically delivering software to clients, clients are becoming true partners in continuously shaping and building the software itself.

© Copyright 2025, Veritext, LLC | Starting June 30, credit card payments may incur a surcharge. No surcharge applies to ACH, check, or debit card payments. For Oklahoma-based consumers, the surcharge is 2%.