Insights from the Law Enforcement Innovation Summit

Presented by Carahsoft

Law enforcement agencies are standing at a turning point, where the convergence of data, artificial intelligence, and real-time technologies is fundamentally reshaping how they operate. The conversations at the Law Enforcement Innovation Summit revealed a clear and consistent theme: the mission is evolving from reactive enforcement to proactive, intelligence-driven operations. That shift is not theoretical—it is already underway, driven by the realities of modern threats and the exponential growth of digital evidence.

One of the most striking changes discussed at the summit is how agencies are rethinking cybersecurity and threat response. For years, the focus was on blocking threats at the perimeter. Today, that mindset is expanding into something far more dynamic. Phil O’Reilly, SVP, COO and Head of Federal at Cellebrite, captured this evolution directly: “I don’t just need to block it, I need to understand it and move more from a defensive posture to a more offensive or preventative posture.” His perspective reflects a broader recognition that threats are more complex, more distributed, and more difficult to contain than ever before. Understanding behavior, patterns, and intent is now just as important as stopping intrusions.

At the center of this transformation is the explosion of data. Law enforcement agencies are now inundated with information from body-worn cameras, mobile devices, surveillance systems, drones, and social media. This surge in digital evidence is both a powerful asset and a significant burden. Investigators are no longer limited by a lack of information—they are overwhelmed by it. Jason Chicola, CEO of Rev, described the scale of
the challenge: “there’s been this explosion of digital evidence, with body cameras, social media, jail calls, CCTV, there’s more evidence than ever before.”

The challenge is that while the volume of data has increased dramatically, the number of hours in a day has not. Investigators are still expected to process, analyze, and act on this information within the same time constraints. The result is growing backlogs, longer case resolution times, and increased stress on personnel. In many cases, investigators are forced to make difficult tradeoffs between thoroughness and speed, raising concerns about both efficiency and outcomes.

Artificial intelligence is emerging as a critical tool to address this imbalance. Properly deployed, AI can process vast amounts of data quickly, identify relevant information, and surface insights that would otherwise remain hidden. This capability is particularly valuable in complex investigations where key evidence may be buried within thousands of files. AI is helping agencies move beyond manual review processes and toward more targeted, efficient workflows. It is not just about doing things faster—it is about doing them better, with greater accuracy and consistency.

However, technology alone is not enough. One of the recurring themes at the summit was the need for law enforcement agencies to rethink long-standing processes and policies. In many cases, organizations are still operating under frameworks that were designed decades ago. J.J. Walia, CEO of ADF Solutions, pointed to this gap, explaining, “law enforcement is having, particularly here in the US, is that they’re sticking to standard practices that have been set in the industry 20 years ago, and they have not adopted or adapted to the problems.”

This reliance on legacy practices creates friction when trying to implement modern solutions. While the tools available today are far more advanced, the systems and workflows they are meant to support have not always kept pace. Bridging that gap requires not only investment in new technology but also a willingness to change how work gets done. It means prioritizing speed and actionable intelligence rather than exhaustive data collection, and empowering frontline personnel with the tools they need to make decisions in real time.

The increasing complexity of the operational environment further underscores this need for change. Today’s law enforcement officers are equipped with an array of connected devices, each generating and transmitting data. A modern patrol vehicle is no longer just a mode of transportation—it is a mobile data hub. John Siggins, Strategic Account Manager at Ericsson, described how dramatically things have evolved: “over the last five years, really, five years ago, we had just one or two things that were communicating. Say it was a cell phone, a laptop. Now we’ve really progressed into all of our patrol officers now have four to five different cameras. They have license plate readers, they have mobile MDTs. They’ve got drones that they’re doing now.”

Managing this influx of information requires robust infrastructure and intelligent data flow. It is not enough to collect data; agencies must ensure that it is delivered to the right person at the right time, in a format that can be acted upon immediately. This is where edge computing and real-time analytics are playing an increasingly important role. By processing data closer to its source, agencies can reduce delays and provide officers with timely insights that enhance situational awareness and decision-making.

Real-time crime centers and fusion centers are a natural extension of this capability. These hubs bring together data from multiple sources, enabling agencies to monitor events as they unfold and respond more effectively. The goal is to move from a model of delayed analysis to one of immediate action. George Vit, Police Sergeant in New Jersey, explained that these capabilities are “allowing law enforcement to respond in more real time with different sensors, whether it be license plate readers, cameras.”

The benefits of this approach are significant. Faster response times, better coordination, and improved outcomes are all possible when information flows seamlessly across systems and teams. But achieving this level of integration requires careful planning and execution. It also requires a commitment to collaboration—both within agencies and with external partners.

Collaboration emerged as another key theme at the summit. The pace of technological change is simply too fast for any single organization to keep up on its own. Agencies are increasingly turning to industry partners, peer organizations, and collaborative forums to share knowledge and explore new solutions. Lacey Wean, Senior Director at Carahsoft, highlighted this dynamic, noting, “we’re seeing that it’s moving faster than ever, and those conversations are really exciting.” These interactions are helping to accelerate innovation and ensure that agencies are making informed decisions about the technologies they adopt.

Security remains a foundational concern throughout this transformation. As more devices become connected and more data is generated, the potential attack surface expands. Ensuring that systems are secure from the outset is critical. Michelle Chapin, Director for Federal at i-PRO Americas, emphasized that agencies must avoid treating security as an afterthought, stressing the importance of “making sure that that component of that cyber infrastructure is built into the camera… not doing it as an afterthought.”

This principle extends beyond individual devices to entire systems and architectures. Building security into the foundation of technology deployments helps reduce vulnerabilities and ensures that data remains protected throughout its lifecycle. It also reinforces trust—both within agencies and with the public.

Trust is perhaps the most important—and most delicate—element of this transformation. The adoption of advanced technologies such as AI and drones raises legitimate questions about privacy, accountability, and transparency. Law enforcement agencies must address these concerns proactively to maintain public confidence. Clear policies, open communication, and responsible use of technology are essential to achieving this balance.

Drones, in particular, illustrate both the potential and the challenges of modern law enforcement technology. By providing real-time aerial perspectives, drones can significantly enhance situational awareness and improve response times. They allow officers to assess a scene before arriving, reducing risk and enabling more informed decisions. Ben Husch, Senior Director of Policy at Skydio, underscored the value of information in these scenarios, stating, “the more and better information that you have, the better decisions that you can make.”

At the same time, the use of drones must be carefully managed to ensure transparency and accountability. Agencies must clearly communicate how and why these tools are used, and establish safeguards to prevent misuse. When implemented thoughtfully, these technologies can enhance both effectiveness and trust, creating a more informed and responsive approach to public safety.

Ultimately, the insights from the Law Enforcement Innovation Summit point to a future where technology is deeply integrated into every aspect of law enforcement operations. Data will continue to grow, tools will become more advanced, and expectations will rise. Agencies that succeed in this environment will be those that embrace change, invest in innovation, and remain focused on their core mission.

The transition from data overload to real-time insight is not just about adopting new tools—it is about reimagining how law enforcement works. It requires a shift in mindset, a commitment to collaboration, and a focus on delivering actionable intelligence at speed. For agencies willing to make that shift, the opportunity is significant: faster investigations, better outcomes, and safer communities.

And while the challenges are real—ranging from budget constraints to cultural resistance—the direction is clear. Law enforcement is moving toward a more proactive, data-driven model, where information is not just collected but transformed into insight. The agencies that lead this transformation will not only keep pace with change—they will define the future of public safety.