Empower 2026 Key Takeaways: Intelligent Document Processing with Laserfiche AI Agents 

Scott Lingenfelter on stage at Empower 2026

The most useful AI experiences are the ones that fit naturally into the systems and workflows employees already use every day. That’s where AI moves beyond isolated tasks and becomes part of how operational work actually gets done. 

At Empower 2026 — Laserfiche’s premier annual conference— we introduced Laserfiche AI Agents, new virtual assistants designed to help teams bridge the gap between manual work and traditional automation. Using the Smart Chat interface in Agent mode, these digital coworkers tap into advanced generative AI reasoning models to analyze content and take meaningful action, all within the secure, governed environment of the Laserfiche repository.  

Here’s what that looks like in practice. 

Offload Tedious Tasks to AI Agents: Reorganize, Classify, Identify and Extract 

Because so much work still gets stuck between manual effort and full automation, teams are often left managing repetitive operational tasks that don’t quite justify building a dedicated workflow. As anyone handling records at scale can tell you, that work multiplies quickly when policies or compliance requirements change, or large sets of records need to be reorganized.  

One example we demonstrated at Empower involved the new California Senate Bill 513 (SB 513)  that expanded the definition of personnel records to include employee training and education materials. For HR teams, that seemingly small change can create hours of tedious administrative work, from reviewing records to creating new folder structures to moving documents into the right employee files.  

With Laserfiche AI Agents, an HR manager can simply use natural language prompts to tell Agents to move training records into matching employee personnel folders and create a new Training and Education subfolder. The Agent analyzes the request, recommends actions and carries out the work while still allowing the manager to review and approve each step before moving forward. With intelligent content management, tasks that previously required hours of manual effort can now be completed in seconds. 

That same approach can help simplify a wide range of everyday work across departments:  
  • Reorganizing records and metadata based on updated business policies or compliance requirements  
  • Classifying incoming documents and automatically routing key business information into workflows and business systems  
  • Identifying sensitive information that may require additional review or governance controls  
  • Extracting action items, deadlines and responsibilities from unstructured emails or documents  
  • Improving knowledge discovery through semantic search that understands context, meaning and intent  

Individually, these tasks might seem incremental, but together, they can dramatically improve how work moves through an organization. 

See an in-depth list of Laserfiche AI Agent capabilities. 

Smarter Search for Instant Discovery  

The first step in moving work forward is being able to find the right information quickly. Anyone who’s spent time digging through repositories and shared drives knows how frustrating this can be. Most organizations have enormous amounts of information spread across repositories and business systems, but finding what you need often depends on knowing precisely where to look. 

Laserfiche’s agentic   semantic search helps change that experience. Employees can search based on concepts, intent or meaning rather than relying entirely on exact keywords. For instance, a user can instantly surface vendor agreements related to “indemnification,” even if the document only uses terms like “liability” or “damages.”  

The real-world speed of these capabilities was on full display at Empower.  Business users configured AI prompts and extraction rules in minutes using natural language instructions instead of traditional technical configuration methods. In one internal onboarding demonstration, AI-powered document and metadata management reduced manual data capture work by 90%. 

That accessibility empowers the employees closest to operational bottlenecks to solve them directly, allowing organizations to adapt instantly without waiting for IT support.  

None of this works without trust. Laserfiche AI Agents prioritize human review, transparency and auditability, giving organizations total visibility. Agents strictly inherit your existing user permissions and governance policies, so you stay in control of every action. 

The Next Phase of Autonomous AI Agents  

The next phase of Laserfiche AI Agents will be even more dynamic, context-aware, and autonomous. Today, they help users complete one-off tasks interactively through natural language requests. Soon, process agents will seamlessly embed into existing workflows, replacing complex decision trees—like invoice approval routing—with intelligent automation.  

The next evolution of Laserfiche AI will introduce background agents that run autonomously in the background to monitor repositories for specific business signals. For example, a marketing manager can task an agent with tracking files for a specific campaign. Using contextual reasoning rather than rigid keywords, the agent will automatically identify relevant documents the moment they are published and curate them for the team. Information actively helps move work forward rather than sitting inside siloed systems.  

At its best, AI should help organizations reduce operational friction, adapt more quickly and give employees more time to focus on meaningful, high-value work. That vision shaped many of the conversations we had at Empower this year, and it continues to guide how we think about the future of work at Laserfiche. 

Read more about What’s New with Laserfiche AI Agents or download our new eBook to discover how to drive digital transformation and operational efficiency using AI. 

What’s Next for K-12 Education in 2026: Modernizing School Operations and Engagement with AI, Automation, and Seamless Digital Access 

Teacher helping student with tablet

As the school year concludes for most, K-12 education stands on the brink of a digital revolution. The rapid evolution of AI agents, automation, and digital platforms is transforming how schools operate, communicate and engage with their communities. 

For school districts looking to modernize, these technologies offer not only efficiency, but a more responsive, accessible and student-centered educational experience. Here are three key predictions for what’s next for K-12 education in 2026.  

1. AI agents and automation are set to modernize K-12 school operations 

As highlighted in the CoSN U.S. State of EdTech Report, a growing number of districts are prioritizing technology to optimize both instructional support and district operations. In 2026, K-12 schools will finally leave paper-heavy, legacy workflows behind in favor of intelligent solutions driven by automation and AI agents. By integrating low-code tools and conversational AI, staff can use simple, natural language commands to streamline everyday operations, such as processing student registrations, managing staff records, or tracking attendance. 

With these intuitive platforms, even districts with limited IT resources can quickly customize workflows across enrollment, HR, and records management. Reducing manual data entry and other repetitive tasks will not only acts as a force-multiplier for teams, but also ensure critical data remains secure, compliant and up-to-date.  

This shift will mark a significant turning point for schools, as legacy systems and manual workflows are replaced with intelligent solutions that help alleviate administrative burden and staff burnout. Ultimately, AI agents and AI-powered automation empower educators to focus on what matters most: student learning, counseling, and classroom support. 

2. Agentic data governance will strengthen school compliance and communication in schools  

AI-driven automation will transform compliance from a reactive scramble into a seamless, built-in standard. By integrating intelligent automation into daily operations, districts can establish “set-it-and-forget-it” compliance parameters that run continuously to enforce state and federal K-12 record retention regulations. Administrators will be able to apply automated retention schedules to student, HR, and financial documents—ensuring records are securely stored for their legally mandated life cycles and safely purged the moment they expire. 

Beyond document lifecycle management, AI will proactively protect school data and simplify accountability. While smart intake systems tag data upon arrival, AI agents will work in tandem to organize and restructure massive backlogs of files, ensuring appropriate security policies are applied to sensitive information like student records or individualized education programs (IEPs). Concurrently, these platforms will be leveraged to create comprehensive audit trails for every file. This will give school leaders full visibility into who accessed, modified, or moved a document, making annual district audits less stressful. With clearer data tracking and faster access to information, schools will operate more proactively and let educational priorities take center stage.  
  

3. AI-driven accessibility will become the cornerstone of parent and student communication 

Parents and students will expect school services to be as seamless and accessible as the apps they use every day. Mobile-friendly portals, real-time updates, and transparent communication will become the foundation of trust between schools and families. Districts that deliver clear, responsive digital experiences will deepen parent engagement and strengthen student relationships.  

Cloud-based platforms, low-code automation and intuitive AI agents will help close gaps in digital access, allowing even small or under-resourced schools to modernize quickly. This will create faster, more connected digital experiences that ensure every parent and student, regardless of district size, benefits from a consistent, accessible and trustworthy experience. 

Building the Foundation for Tomorrow’s Classrooms 

The future of K-12 education is bright — and digital. By embracing AI agents, automation, and seamless digital access, schools can modernize operations, reduce administrative burdens, and foster stronger connections with students and families. This year, districts that invest in intelligent solutions will be best positioned to meet evolving expectations and deliver exceptional educational experiences. 

Laserfiche provides intelligent  documentation management and automation tools designed to help K-12 education organizations modernize and stay ahead of the demands of 2026 and beyond. By combining smart features that capture incoming data with the newly introduced Laserfiche AI Agents, your staff can effortlessly organize, tag, and rename massive volumes of records using simple, natural language commands.   

Explore how Laserfiche can accelerate your institution’s goals this year — click here to learn more or schedule a demo today. 

Preparing for AI Governance: Hong Kong’s Compliance Landscape in 2026 

Laserfiche is Brewed for Compliance

Hong Kong’s status as a premier international financial hub is anchored by a foundation of transparency and a robust regulatory framework. However, in the ever-evolving digital landscape of 2026, that foundation is being tested. According to the recent ALB Hong Kong Regulatory & Compliance Summit, rising  global geopolitical tensions and a surge in AI-enabled fraud are creating a new breed of cross-border compliance challenges. 

At the summit this March, financial experts and cybersecurity leaders gathered to analyze how shifting sanctions and digital crimes are straining institutional protocols. Their consensus was clear: traditional compliance is no longer enough. 

The Governance Imperative  

With the commencement of the Protection of Critical Infrastructure Ordinance in January 2026, Hong Kong has entered a new era of active enforcement. Compliance is no longer a compliance-by-mandate; it is a critical boardroom priority. With data from the Hong Kong Police Force showing a steady rise in deception cases, regulators are increasingly focused on how AI can be both a weapon for financial crime and a shield for defense. 

For businesses in this dynamic digital hub, the conversation has shifted from whether to adopt AI to how to build the tech-driven defenses necessary to withstand this complex regulatory environment. To ensure long-term stability, organizations must transcend traditional advisory roles and embed AI governance as a fundamental pillar of security.  

Securing Your Organization 

While the advent of AI has led to the rapid sophistication of cybercrime and fraud, organizations can take definitive steps to secure themselves. Following the insights from the 2026 Summit, the priority is to move beyond passive monitoring toward an active defense model. 

Key Defense Strategies 

1. Combating AI-Enabled Fraud and Financial Crime 

As criminals leverage AI for money laundering and cyberattacks, taking the following measures can significantly mitigate your risk: 
  • Establish Smart Policing and Cybersecurity Centers: Move beyond basic IT support by embedding dedicated security hubs within your corporate infrastructure to centralize threat intelligence. 
  • Deploy “AI-to-Catch-AI”: Your compliance framework must utilize machine learning for real-time monitoring of transnational telecom and internet fraud, identifying patterns that are invisible to the human eye. 
  • Prioritize Digital Forensics: Invest in advanced forensic tools to ensure that if a breach occurs, your team can rapidly trace the source and mitigate the imp 

2. Privacy by Design: The PDPO and Beyond 

While the Personal Data (Privacy) Ordinance (PDPO) —Hong Kong’s primary legal statute for safeguarding individual privacy— remains the bedrock of data protection, the Office of the Privacy Commissioner for Personal Data (PCPD) now emphasizes Ethics-by-Design. This approach mandates embedding ethical considerations and privacy protections into the earliest stages of technological development. Key pillars of this strategy include:  
  • Transparency and Explainability: Organizations are urged to move toward “Explainable AI” (XAI). In sectors like banking and insurance, being able to explain why an algorithm made a specific decision is now a regulatory expectation, not a luxury. 
  • Data Mapping and the GBA: As cross-border data transfers within the Greater Bay Area (GBA)—linking Hong Kong with mainland China—become more frequent, businesses must conduct rigorous data mapping. This creates a detailed inventory of where data originates and how it flows across different legal jurisdictions. 
  • Supplier Due Diligence: Compliance must extend to your partners. Organizations must perform supplier data protection due diligence to ensure that third-party vendors adhere to the same rigorous security standards required by the PDPO. 

3. Bridging the Governance Gap: The Evolving Role of the GC 

 In recent years, the role of the General Counsel (GC) has transitioned from a purely legal function to that of a strategic partner. GCs are now tasked with aligning AI operations with rapidly changing business requirements. To bridge the gap between innovation and oversight, organizations should implement: 
  • Cross-Functional Committees: Establish an AI ethics committee that includes legal, compliance, and technology innovators. 
  • Human Checkpoints: Even the most advanced AI requires “human oversight.” Ensure that high-stakes decisions—especially those involving credit scoring, employment, or legal outcomes—are reviewed by qualified professionals. 

4. Navigating Risk and Sustainability Directives 

AI does not operate in a vacuum. The 2026 Summit leaders noted that intricate sanctions regimes and trade tensions —particularly between the U.S. and China— are impacting how technology is deployed. Interestingly, AI compliance in 2026 is becoming inextricably linked to ESG (Environmental, Social, and Governance) mandates specifically in these areas: 
  • Algorithmic Fairness: Preventing bias in AI is no longer just a technical goal; it is a social responsibility. Ensuring algorithms do not discriminate is now a key metric in corporate social performance.  
  • Corporate Governance: Boards are expected to translate “responsible AI” from a theory into clear governance standards, ensuring that technological research and development support long-term organizational sustainability. 
  • Resilient Operations: Compliance programs must be recalibrated to handle global volatility. This requires sector fluency—the ability to understand local regulatory nuances while navigating geopolitical shifts.  

Beyond Compliance: Shaping the Future of 2026  

As Hong Kong accelerates its digital economy ambitions, the winners will be those who view compliance as a “proactive risk management system.” By pioneering legal tech adoption and redesigning service delivery models, firms can turn regulatory hurdles into competitive advantages. 

In the words of the industry leaders at the ALB Summit, staying ahead of the curve requires a “comprehensive understanding of both technological advancements and the methods utilized by financial criminals.” By embedding these best practices into your organizational DNA, you do more than adapt to the changes of 2026—you will actively shape it. 

For more information on governed-AI, download the eBook now:

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Laserfiche Launches on AWS Marketplace, Bringing Intelligent Content Management to the Enterprise

Organizations can now seamlessly procure Laserfiche document management to support and scale information governance and workflow automation.

LONG BEACH, CALIFORNIA, June 2, 2026 — Laserfiche — the leading SaaS provider of intelligent content management — has partnered with AWS to make Laserfiche available through AWS Marketplace. This collaboration enables AWS customers to seamlessly procure Laserfiche’s document management platform to manage content, automate workflows and implement agentic AI capabilities.

“We’re excited about this evolution of our long-standing partnership with AWS,” said Thomas Phelps, Laserfiche senior vice president of corporate strategy and CIO. “AWS Marketplace provides a near-frictionless experience for Laserfiche direct customers who want to accept negotiated private offers, manage billing and payment history, and apply eligible purchases toward their AWS Enterprise Discount Program (EDP) commitments — all through their centralized AWS account.”

Laserfiche provides document lifecycle management, information governance and workflow automation tools on a platform that earned multiple Champion awards from Info-Tech Research Group. Laserfiche AI features include automatic metadata extraction, document summarization, chat and agentic capabilities.

“Within two weeks of requesting the ability to procure Laserfiche Cloud through AWS Marketplace, Laserfiche confirmed its availability on the marketplace,” said Bianca Lochner, Ph.D., City of Scottsdale CIO. “We appreciate Laserfiche’s swift execution and anticipation of our needs as our business partner.”

“We are thrilled to welcome Laserfiche to AWS Marketplace,” said Carol Potts, AWS General Manager of US ISV Sales. “Organizations in highly regulated industries can now adopt Laserfiche’s intelligent content management and agentic AI capabilities to quickly automate how they organize, govern, and act on critical information at scale. Enabling access to these innovations is how we help customers transform the way they work.”

To learn more, explore AWS Marketplace.

About Laserfiche 
Laserfiche is a leading enterprise platform for document management and content-centric workflow automation. Through scalable workflows, forms, no-code templates and AI-enabled capture, the Laserfiche® platform accelerates how business gets done.  

Laserfiche pioneered the paperless office with enterprise content management. Today, Laserfiche’s cloud-first development approach incorporates innovations in machine learning and AI to enable organizations globally to transform into digital businesses. Customers in every industry — including government, education, financial services, healthcare and manufacturing — use Laserfiche to boost productivity, scale their business and deliver digital-first customer experiences.  

Laserfiche employees are committed to the company’s vision of empowering customers and inspiring people to reimagine how technology can transform lives.  

Navigating the Future in K-12 Education Leadership Council: Governance Protects Public Trust

Teacher at desk talking to student and parent

Artificial intelligence has increasingly become a topic of everyday conversation. From film to finance, every industry is contemplating the practical advantages of utilizing AI. For those in K-12 AI leadership, the conversation isn’t just about AI adoption—it’s about digital integrity.

Government agencies, schools, banks and businesses are all beginning to use AI to process information and assist with decision making. At the same time, bad actors are also using these tools to create highly convincing scams, impersonations and misinformation.

That shift raises an important question for public sector leaders. If AI can create such a powerful illusion of reality, how do institutions protect the integrity of their data, processes and reputations?

The answer is governance. 

The $5 Million Wake-up Call

Technology discussions often focus on algorithms, models or computing power. Yet the most important factor in responsible AI adoption is not the algorithm itself. It is the framework that governs how information is created, verified and used. Without strong governance, even the most advanced technology introduces risk.

I was reminded of this during a recent conversation with a group of K-12 leaders focused on navigating the future in K-12 education. They were discussing a case in which a school district lost nearly five million dollars in funding due to a sophisticated scam. Artificial intelligence was used to generate convincing communications that appeared legitimate. At first glance it seemed like a cybersecurity failure.

Why It Wasn’t a Cybersecurity Failure

However, the investigation revealed something different. The district’s systems were not breached through a technical vulnerability. The breakdown occurred in the verification process that should have governed how financial requests were approved. The attackers relied on the assumption that the message would move through the system without proper validation. In other words, the technology enabled the deception, but the absence of governance allowed it to succeed. 

K-12 AI Leadership: Beyond the Algorithm

This distinction matters because it reframes how government and education leaders should think about AI adoption. Artificial intelligence is not inherently a threat. In fact, it offers enormous potential to help agencies and institutions work more effectively. AI can assist with document classification, automate routine workflows and surface insights hidden inside large volumes of information. These capabilities can free public servants to focus on higher value work that directly benefits citizens and students. But those benefits only materialize when AI operates within a defined governance structure.

“The value of AI in education is quickly undermined when governance is not considered, not taken seriously, or left incomplete. Without clear oversight and accountability, institutions risk poor decisions, unreliable outcomes, and a loss of trust that is far harder to rebuild than the technology itself,” said Council lead Brian Cohen, Vice President of the Center for Digital Government and Center Digital Education.

The Blueprint for Responsible K-12 AI Governance

From a content and information management perspective, that structure begins with documented processes. Information should have clear ownership. Data sources must be trusted and traceable. Retention and access policies need to be consistently applied. Most importantly, human oversight must remain part of the process. AI can assist with interpretation and automation, but accountability cannot be delegated to an algorithm.

When those principles are in place, AI becomes a force multiplier rather than a liability. Agencies can move faster because information flows through repeatable processes. Leaders can trust the outputs because they understand where the data originated and how it was handled. Citizens gain confidence that technology is supporting transparency rather than undermining it.

This is why governance has become the central conversation in responsible AI adoption. Public institutions do not have the luxury of experimentation without safeguards. Their credibility rests on trust, and trust is built through disciplined management of information.

Artificial intelligence will continue to evolve rapidly. New capabilities will emerge that reshape how governments operate and how schools support students. Ultimately, effective K-12 AI leadership isn’t defined by how fast you adopt new tools, but by how firmly you establish the governance that protects your students and your staff. In the end, protecting data, processes and institutional reputation does not start with algorithms. It starts with the rules and responsibilities that guide how information is managed. AI may be the catalyst for change, but governance is what ensures that change strengthens, rather than weakens, public trust.

Learn more about secure AI- powered K-12 document management

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Closing the Gap Between AI and Trust. A Call to Action for Virginia State Leaders

Panel at VA Government Showcase

At the Public Sector Network Government Innovation Showcase in Richmond, focused on Virginia’s digital future: empowering communities, driving innovation, one theme came through clearly in every conversation. The pace of innovation is accelerating. The pace of trust is not. That gap is where state governments now operate. 

The event convened state leaders and tech experts to chart the Commonwealth’s transition toward “Government 3.0,” a future of proactive, citizen-centric service. Highlighting over 70 modernization projects, the event provided a roadmap for integrating AI and cloud infrastructure while maintaining the rigorous ethical standards and data governance vital to build public trust. 

Across Virginia, leaders are being asked to modernize services, adopt AI and deliver seamless  experiences that match what residents expect in their daily lives. Faster, simple and more transparent. As Commonwealth of Virginia, Secretary of Administration Traci DeShazor put it, government is no longer an abstract concept. It is a daily experience, and increasingly a digital one. 

The Tension Between Innovation and Regulation 

At the same time, leaders are navigating a more complex reality. New AI legislation, ongoing policy debates and heightened public scrutiny are shaping how and when innovation can move forward. Recent developments in Virginia’s General Assembly reflect this tension. Lawmakers are working to define guardrails around AI use while still encouraging innovation. That balance is not easy to strike. 

This is not a technology problem; it is a trust problem. And, more specifically, it is a data governance problem. 

From Theoretical AI to Real-World Impact 

The pressure to move faster is real. In Richmond, there was no shortage of energy around AI. Agencies are already using AI, including Agentic AI, to improve records access, accelerate contract review, improve planning and streamline case management. These are not theoretical use cases but are happening today. Virginia’s leaders understand the potential of AI but also understand the potential risk. 

 In government, every decision carries weight. Every dataset has implications. Every system must stand up to public scrutiny. Moving fast without control does not just create inefficiency: It erodes trust. One of the most important insights from the Richmond event was this: AI is not introducing new problems; it is exposing existing issues quicker. Most state agencies, not just in Virgina but across the county, are still managing decades of content across shared drives, legacy systems, email and paper. Information is fragmented. Ownership is unclear. Policies are inconsistently applied. 

The Rise of Agentic Systems 

This challenge becomes even more urgent as we move into the next phase of AI: agentic systems. These are not tools that simply summarize or assist. They take action. They trigger workflows, move information between systems and support decisions in real time. In a contract management scenario, an AI agent could automatically extract terms, route approvals and flag compliance risks across thousands of documents. That level of automation is powerful, but it also raises the stakes. If the underlying data is incomplete or poorly governed, the agent does not just produce a flawed output. It executes flawed actions at scale. 

This is why the agencies making real progress are not starting with AI. They are starting with governance. 

Virginia’s Path to Responsible AI 

What makes Virginia particularly interesting right now is that both sides of this challenge are playing out in real time. On one hand, there is clear momentum. Agencies are modernizing, digitizing services and exploring how AI can improve outcomes. From contract analysis to benefits processing, the focus is on delivering faster, more responsive services to citizens. 

On the other hand, there is a growing recognition that governance must keep pace. 

The leaders in Richmond were not asking whether to adopt AI. They were asking how to do it responsibly. That is a different question. And it leads to a different strategy. Legislative conversations around AI reflect concerns about transparency, accountability and data protection. These are not barriers to innovation. They are prerequisites for it. 

Governance as an Operational Foundation 

For years, governance has been treated as a compliance exercise. Something separate from innovation. Something that slows things down. That mindset is changing. 

What we are seeing across Virginia and other states is a shift toward governance as an operational foundation. Not policy documents sitting on a shelf, but systems that enforce consistency automatically. When governance is embedded into how information is captured, classified and managed, several things happen. 

Data becomes more reliable. Processes become more repeatable. Decisions become more explainable. And AI becomes more trustworthy. 

This is what enables practical, defensible use cases. Faster FOIA responses. More consistent contract evaluation. Better visibility into case data. All with auditability built in. AI does not create trust. Governance does. AI simply operates within it.  

See how the City of Acworth is using AI to drive efficiency and public service. 

Sustainable Innovation for the Future 

The path forward is clear, but not easy. State leaders are being asked to move faster while taking on more risk. To innovate while maintaining public trust. To modernize without disrupting essential services. 

The agencies making progress are doing three things consistently: 
  1. Getting control of their information environment.  
  1. Standardizing and automating how work gets done.  
  1. Building trust in their data before scaling AI.  
  1. This is not about slowing down innovation but rather making scale sustainable. AI is not the starting point. It is the next step. The conversation around AI will continue to evolve. New capabilities will emerge. Expectations will continue to rise. Legislative pressure will increase. Through all of it, one thing will remain constant. Trust will determine the outcome. 

For state government leaders, the priority is not to adopt AI faster but to build a foundation that allows AI to be used responsibly, transparently and at scale. 

That foundation is governance. 

Now is the time to take a hard look at your information environment. Where is your data fragmented? Where are policies inconsistently applied? Where do processes rely on manual workarounds instead of enforced standards? Start there. Because in government, AI is not just about what is possible. It is about what is defensible. And the agencies that get this right will not just move faster, they will move forward with confidence. 
 

Introducing Laserfiche AI Agents, Collections and More

What’s New in May

The latest Laserfiche release is headlined by Laserfiche AI Agents, your new virtual assistants that turn Smart Chat prompts into repository actions. Alongside this major AI milestone, we are introducing Collections for better personal organization, a brand-new Forms mobile app, updates to Import Agent and more.

Laserfiche AI Agents 

Meet Laserfiche AI Agents: your intelligent virtual assistants for handling tedious work. You provide the instructions, and Agents take action on your behalf.  

This initial release introduces directed agents, which allow users to use natural language prompts to delegate repository actions, such as organizing content and applying metadata.

Read the full Agents press release. 

How Agents turn instructions into action

To start using Agents, open Smart Chat, switch to Agent mode, and describe what you want the Agent to do. Agents understand your intent, break goals into steps, and make intelligent judgments when needed to turn your natural language requests into system actions. 
User interface for toggling between Ask mode and Agent mode when interacting with Laserfiche AI Agents.

What you can do with Agents

Some of the operations currently supported by Agents include: 
  • Moving or copying documents  
  • Creating folders or shortcuts 
  • Adding or removing tags and templates 
  • Renaming documents, folders, and shortcuts 
  • Adding entries to your starred documents or personal Collections

See the full list of supported actions in the product documentation. 

Built-in controls for secure Agent actions

Laserfiche AI Agents were designed with trust, security, and control in mind. 

Agents act as extensions of the user interacting with them and operate within that user’s existing permissions. For transparency, every operation is recorded in audit logs and attributed to the user who prompted the Agent. 

Before executing a request, the Agent provides a summary of the actions it plans to take, giving you the option to confirm or cancel, and allowing you to adjust your prompt if needed. 

Learn more about what you can do with Laserfiche AI. 

Collections 

Collections give users a flexible way to organize related documents together for easy access, without impacting the repository structure for the rest of their team.  

Repository folder structures are often designed around organizational security and governance needs, which may not always match how individual users need to access content in their day-to-day work. Similar to quick access views like Starred and Recent Documents, Collections function like personal virtual folders, allowing users to group documents they reference frequently without moving them in the folder tree. 

Collections are specific to each user, not visible to others in the repository, and can be created, renamed, and updated as needed. Users maintain full control over which entries belong in each Collection. 

Collections can also be referenced in interactions with Smart Chat and Agents, helping users provide Laserfiche AI with the right context more efficiently through a predefined set of documents.

Learn more about Collections. 

New Forms Mobile App

Work with Laserfiche Forms from anywhere with the new Laserfiche Forms mobile app, redesigned from the ground up with a modern, mobile-first experience. View and update your tasks, find and fill out forms, start new Forms processes, attach images directly from your mobile device, and more.

Available now on iOS, with Android coming soon. 

Other updates: 

New functionality in Import Agent: Improved support for ad-hoc batch and bulk operations with the ability to run profiles on demand. Additionally, stay on top of troubleshooting with new email digests that notify you of issues like expired passwords. 

Quick Fields & Quick Fields Agent: Enjoy a refreshed user interface and expanded OCR language support, including Vietnamese, Hebrew, Arabic, and Thai. 

Laserfiche Recognized as a Leader in 2026 Gartner® Magic Quadrant™ for Document Management

Laserfiche named a Leader for the second consecutive time based on its Completeness of Vision and Ability to Execute.

LONG BEACH, CALIFORNIA, MAY 5, 2026 — Laserfiche — the leading SaaS provider of intelligent content management — has been positioned as a Leader in the 2026 Magic Quadrant for Document Management. Laserfiche believes this recognition underscores the company’s commitment to empowering organizations to transform complex, operational business processes through AI-powered content management.

“It’s incredible to see Laserfiche recognized during the same week as our annual Empower conference, where we announced our latest agentic AI capabilities,” said Thomas Phelps, senior vice president of corporate strategy and chief information officer at Laserfiche. “We believe being positioned as a Leader — and receiving the highest overall rating among 16 vendors in Gartner Peer Insights, with a 4.7 out of 5.0 based on over 1,300 reviews as of April 30, 2026 — reflects our relentless focus on product innovation and delivering value to our customers.”

As the document management market continues to evolve and expand, the ability to bridge the gap between static content and actionable enterprise intelligence has become a defining competitive advantage. In the report, Gartner noted, “A key challenge for organizations is harnessing the potential of unstructured data (content) using AI, while simultaneously mitigating risks through robust control and governance.”

Governance-first AI Innovation

Laserfiche continues to accelerate its product capabilities to meet the demands of modern IT environments, focusing on features that turn structured and unstructured content into an enterprise asset. These features prioritize the rigorous information governance, security and compliance standards required by the world’s most demanding industries, including government, financial services and manufacturing.

The platform now features advanced AI-enabled data extraction via Smart Fields, the Smart Chat AI assistant, improved metadata experiences, and enhanced data lookups, all designed to optimize content, making it structured, accessible and ready for AI consumption.

The company’s roadmap includes the expansion of Laserfiche AI Agents functionality including the ability to embed agentic tasks directly into workflows, and the ability to run Agents in the background, monitoring the system for the specified conditions and then completing tasks ambiently. Laserfiche will also introduce additional security advancements in Q3 of 2026. These updates will further solidify Laserfiche’s ability to support highly regulated industries with secure, governed AI deployment.

“Laserfiche has served as the backbone of our finance operations for years, delivering the stability and granular governance we require for our critical documentation,” said Desiree Champaco, VP of information technology and supply chain at Diamond of California. “As Diamond optimizes how we work with suppliers, production partners and customers, Laserfiche’s AI capabilities will play a larger role in how we capture, deliver and leverage accurate, reliable data.”

“As a Top Digital City, Scottsdale is dedicated to using world-class technology to provide our residents with a responsive, modern experience,” said Bianca Lochner, chief information officer for the City of Scottsdale. “Laserfiche has been a collaborative partner in our digital evolution, providing a secure framework to transform complex data into better citizen services. This innovation helps us to continue to scale operations and deliver on our mission of excellence for our community.”

Empowering Modern Enterprises with High-Impact, User-Centric Solutions

Gartner® Peer Insights™ captures customer experience with Gartner-verified ratings and reviews. As of May 5, 2026, Laserfiche reviews include the following:
  • “Laserfiche transformed the way we worked, it provided the possibility to unify our Financial Services into one site and one set of work standards. Support has been great when I have had issues I could not solve on my own.” — Senior Finance Manager in Manufacturing [read full review]
  • “Laserfiche is an incredibly robust Forms solution that allows us to provide innovative automated processes and to improve existing legacy business processes. We have been thrilled with this product.” IT Manager in Healthcare and Biotech [read full review]

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Gartner Disclaimer

Gartner, Magic Quadrant for Document Management, Tim Nelms, Jed Cawthorne, Marko Sillanpaa, Rachel O’Farrell, Stephen Emmott, 30 April 2026

Gartner, Voice of the Customer for Document Management, Peer Contributors, 2025, 25 June 2025

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Laserfiche. Gartner, Magic Quadrant and Peer Insights are trademarks of Gartner, Inc. and/or its affiliates. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

About Laserfiche 
Laserfiche is a leading enterprise platform for document management and content-centric workflow automation. Through scalable workflows, forms, no-code templates and AI-enabled capture, the Laserfiche® platform accelerates how business gets done.  

Laserfiche pioneered the paperless office with enterprise content management. Today, Laserfiche’s cloud-first development approach incorporates innovations in machine learning and AI to enable organizations globally to transform into digital businesses. Customers in every industry — including government, education, financial services, healthcare and manufacturing — use Laserfiche to boost productivity, scale their business and deliver digital-first customer experiences.  

Laserfiche employees are committed to the company’s vision of empowering customers and inspiring people to reimagine how technology can transform lives.