Brett Trout
The legal industry is facing its most significant transformation in decades. Technological advancements in the area of transactional legal practice (preparing business documents), once relegated to the back office, are now front and center in discussions about efficiency, client service, and competitive edge. With artificial intelligence (AI) and Generative AI (GenAI) technologies maturing rapidly, both law firms and in-house teams are asking: are these advancements delivering on their promise—or just adding complexity?

In-House Attorneys Are Adapting Faster
In-house legal teams face broad challenges—from compliance to cross-department collaboration—forcing in-house teams to adopt efficiency-focused technology at a faster rate than their private practice counterparts. As a result, more and more companies are mandating their in-house legal teams adopt AI legal practice solutions. This order to implement new systems often comes from upper management, who are typically not lawyers themselves. They do not fully appreciate the ethical pitfalls associated with adopting the wrong technology or not adopting the right technology. Compounding the problem is the fact that most of these new tools still cater to private practice workflows. These are just some of the issues that explain why many in-house lawyers feel underwhelmed or even alienated by existing technology solutions to their transactional problems.
Private Practitioners Still Have Concerns
Private firms know adoption of new technology can be a competitive advantage—a way to generate new clients, decrease costs, speed up service delivery, and differentiate themselves in an increasingly crowded market. Despite these advantages, private practitioners have more control over which technology is implemented, and are therefore naturally slower to integrate new systems than their in-house counterparts.
Another reason for this slower integration in the private sector is the concern over whether lawyers can trust AI workflow systems to actually do the work correctly. Reports of lawyers being sanctioned for submitting faulty AI work to courts have caused many attorneys to take a wait and see approach to full AI integration into their practice. Other concerns involve the ethical implications of data security and client confidentiality when it comes to different AI platforms.
In a field where a single error can change the outcome of a case or contract, or even result in professional ethical violations, lawyers are right to be concerned. While perfection should never be the enemy of good, for many private practitioners the current state of “good” is just not good enough.
Clients Want Value, Not Hype
Historically, clients have not pushed their law firms to adopt the latest greatest legal technology. Clients instead have been laser-focused on cost, timeliness, and quality. As long as they get the results they want, clients have been content leaving the technological “how” to their attorneys.
But that is beginning to change. As in-house counsel and tech-savvy clients integrate more AI into their workflow, they are beginning to demand the faster turnaround times, more transparent billing, and seamless collaboration that only AI integration can provide.
The Road Ahead: Results Over Hype
If there is a lesson to be learned from the current legal technology environment it is that both lawyers and their clients are more interested in practical solutions than theoretical returns. A generative AI platform with attractive theoretical applications is of little use if the user interface is too complex for all but the most tech-savvy lawyers to leverage. Conversely, a more modest solution that is easier to integrate and use will have a greater practical impact on the law firm’s output and bottom line. Tech vendors and tech-savvy lawyers are beginning to realize this and migrating toward more practical use cases for tech integration. They know that if the tools do not align with the actual day-to-day legal work a law firm outputs, those tools can actually decrease productivity, frustrating both lawyers and staff.
Instead of scouring the latest benchmark tests for which AI is most efficient, lawyers will be better served focusing on which systems have the most user-friendly, workflow-native designs. As training and implementation inevitably lead to an initial productivity loss, systems that offer robust training and onboarding will reduce this loss and increase user satisfaction in the process. With any new system, law firms must also be proactive in promulgating and vigorously enforcing data privacy and ethical protocols before any problems arise. Finally, it is important to estimate, then measure, the return on investment with any new system implementation. Clear communication with all personnel, to identify oversights and errors that could be preventing users from realizing the full potential of the technology, is a must.
Final Word: Technology Will Not Replace Lawyers—But It Will Redefine Legal Work
At the end of the day, AI is a tool. The future of the ongoing integration of technology into the practice of law is not about replacing lawyers. It is about empowering them, and their staff—freeing them from routine tasks, improving accuracy, and enabling deeper client engagement.
As more lawyers integrate AI into their daily practice, expectations from clients and colleagues will rise in lock-step. For law firms and in-house teams that get it right the payoffs will be considerable. For those who hide their head in the sand, the repercussions will be catastrophic.
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