The Integreon Litigation Technology Committee is dedicated to the pursuit of knowledge with a specific focus on driving innovation through the combination of technology and legal subject matter expertise. The team sits at the nexus of automation and process engineering and is committed to fostering an environment of innovation and professional development within the larger Integreon community.
Lit Technology Core Values
Innovation – exploring outside of the box thinking to deliver creative solutions to everchanging challenges.
Extreme Ownership – accountability at all levels with a heavy focus on delivering committed outcomes as a team regardless of individual roles and responsibilities.
Collaboration – readily sharing knowledge, lessons learned, and credit across working groups with the ultimate aim of improving client delivery.
Pragmatism – processes, workflows, solutions, and products should strive for simplicity and only be as complicated as absolutely necessary to deliver a committed outcome.
Data Driven – commitment to base judgments on quantifiable data to avoid confirmation bias and emotional decision making.
Phoebe, it’s great to chat with you again! I know you and the team have been super busy over the past couple of months. What have you all been up to?
Phoebe Gebre: Thanks! It’s been an exciting and productive quarter for the I4 Committee. We’ve been deeply engaged in evaluating emerging GenAI tools, focusing on their potential applications in document review and privilege log workflows. Our team has also been collaborating with industry experts and vendors to ensure we stay ahead of the curve in understanding both the capabilities and limitations of these technologies. In addition to assessing GenAI tools, we’ve been refining our framework for testing criteria as well as looking at use cases in Legal Spaces but beyond document review.
Have there been any surprises or unexpected insights during the ongoing GenAI tool assessment?
Phoebe Gebre: Absolutely. One of the biggest surprises has been just how fast things are moving—it really feels like the Wild West of GenAI right now. I’m not sure that we expected steady, incremental improvements exactly but some of the changes in a short span of time have been surprising. Companies have been acquired, and we have observed other companies shifting their focus away from document review and focusing on trial prep, for example.
Recently, we have also been looking at built-in Gen AI functionality in many proprietary review tools. I think now the expectation is that all review platforms are going to have some Gen AI functionality.
Another notable shift is that clients who once hesitated to adopt Active Learning, predictive coding, or single-instance review are now actively exploring these tools and smart workflows, asking informed questions, and seeking ways to improve efficiency. Even those still in a wait-and-see phase for implementing GenAI functionalities are re-evaluating their workflows, looking for opportunities to streamline processes and optimize their approach.
Crucially, the cost of running GenAI has dropped significantly, especially compared to what we were seeing in mid-2024, so that has been an interesting development as well.
What are the Lit Tech committee’s priorities for 2025?
Phoebe Gebre: In 2025, our focus will be on two main areas:
- Integrating AI into Document Review Workflows – As we transition from assessment to implementation, our focus will be on seamlessly incorporating AI tools into document review workflows. We’ll explore the many ways GenAI can enhance efficiency while also establishing clear guidelines on when—and when not—to use it. Understanding its limitations and identifying scenarios where it may not be the most effective solution will be just as critical as leveraging its strengths.
- Use cases beyond document review – I think that AI and GenAI are going to be game changers for data disposition, both when it comes to identifying physical boxes that need to be shredded and removed from the warehouse, for example, as well as ESI that no longer needs to be retained. Traditionally, document retention and disposal have been manual, time-consuming processes prone to human error. With AI, we can analyze massive volumes of records quickly, identifying which documents have met their retention period and flagging them for secure destruction.
GenAI takes this a step further by interpreting unstructured data—scanning file names, metadata, and even document content to classify records more accurately. This means organizations can automate much of the decision-making process, reducing the risk of keeping unnecessary records (which increases compliance risks) or accidentally shredding something that should be retained. Given the growing focus on information governance and data minimization, leveraging AI for defensible disposition is not just efficient, it will be essential.
How has chairing our Lit Tech committee impacted your perspective on innovation and AI in the legal industry?
Phoebe Gebre: Leading the I4 Committee has reinforced just what an exciting and transformative time it is for the legal industry. It’s also been incredibly rewarding to collaborate with professionals such as Miguel Villalobos, Scott Bien and others on the committee, as well as individuals across the industry who share a passion for shaping the future of legal tech.
What we continue to find is that human oversight is critical. Even as these tools become more powerful, their effectiveness still depends on legal professionals guiding, refining, and validating their outputs. This reinforces the importance of rigorous testing and adaptability before full-scale implementation.
Ultimately, I see AI not as a replacement but as a powerful tool that, when used strategically, can elevate the work of legal professionals and create new opportunities for efficiency and insight.
