Bridge the AI activation gap: how governance protects value

Corporate counsels now confront novel risks almost daily, from AI deep-fakes to bot-to-bot dealmaking. Regulators also struggle to keep pace with the technological onslaught. GCs are navigating a fragmented global regulatory landscape and exploding volumes of legacy and emerging data (think chats and in-app discussions, for a start). It’s no surprise that risk, demand, and operations have become more complicated for 60 percent of legal department leaders, and more unpredictable for a third¹.

Amid the novelty and disarray, a long-standing lack of information consolidation and internal oversight has created an AI activation gap. Disjointed tech silos and ungoverned workstreams are central to why 85 percent of organizations are using or piloting AI, but only 17 percent have successfully integrated it into their daily workflows . Consequences of moving too fast without appropriate guardrails include:

• 36% of organizations experienced a documented policy violation (e.g., a data leak or compliance breach) stemming from unregulated AI use
• 25% allowed employees to use publicly available AI with little to no oversight

Legal leaders need absolute certainty that they have established the safeguards, policies, and systems to ensure defensible compliance. This requires moving from a traditional document management system (DMS) to a knowledge work platform with a unified foundation that aligns knowledge, people, and policies. This foundation acts as a “trusted core" from which security, guardrails, and policies are incorporated into daily workflows². No more worry about catching up to demand, as you confidently outpace it. 

Stop treading water and start building value

Corporate legal departments are frequently instructed to drive operational efficiency, yet struggle to implement AI without the time and technological fluency to adopt new tools. Instead of gaining momentum, team members waste an average of 37 minutes a day searching for the information they need. Legal departments must fix the underlying knowledge architecture before they can successfully adopt advanced AI.

Capture knowledge in a unified, shared foundation

Enterprise knowledge often remains trapped in silos — scattered across personal inboxes, disconnected chat tools, and legacy shared drives. To bridge these gaps, companies must bring documents, emails, chats, and other knowledge sources into a unified, shared resource. This begins the transformation from a static storage repository to a trusted knowledge engine.

To make knowledge findable and secure, the knowledge work platform must automatically apply consistent metadata, version control, and lifecycle management to all files. This way all data — whether it originates from a highly negotiated contract, a quick internal chat, or an email from outside counsel — is accurately contextualized and readily accessible.

A platform that labels and tracks communications and documents empowers lawyers to find and reuse the most relevant past legal advice, drafted clauses, and business decisions. That’s one reason why integrating multi-channel communications into a single system is a must-have capability for 75 percent of the most mature knowledge-work organizations (those most likely to successfully integrate AI). 

A unified platform solves the “where is it?” problem, and strategic integrations solve the question, “how do I use it?” To eliminate the friction of context-switching, legal leaders must connect the shared knowledge resource to day-to-day operations.

Use knowledge through strategic tech integrations

To access the templates, precedents, and answers they need when and where they need them, legal teams must connect their routine work processes to the organization’s shared knowledge foundation. The goal is to embed document management and AI capabilities directly into daily applications.

Prioritize software integrations that meet legal teams where they already work, in Microsoft 365, Teams, and Slack. This stops the need to constantly switch between disparate platforms. Teams can expand capabilities through new tech integrations while keeping all corporate knowledge protected within enterprise walls.

Most importantly, lawyers get fast access to the most relevant and accurate information. While debating a specific clause in a Teams or Slack chat with the sales team, a lawyer can use an integrated AI tool such as Ask iManage or a tool connected via MCP, like Harvey, Legora, or Claude, to pull a gold-standard precedent from the platform. Instead of getting back to sales after a 20-minute search, you just drop the approved language into the chat and write, "This aligns with our 2024 master service agreement standards.”

Connectivity provides speed, but governance provides the control that legal leaders need to sleep at night. Transitioning to an integrated environment requires shifting from manual oversight to a system where guardrails are baked into everyday operations.

Protect value through a rigorous governance layer

Because AI makes reusing and repurposing knowledge incredibly easy, end-users are eager to implement it. Globally, 55 percent of organizations cite using natural language to query documents or find information as their number one AI use case. Furthermore, 42 percent of end users are specifically looking to AI to suggest clauses or templates based on previous work.

However, this rapid, machine-led retrieval raises the probability of acting on outdated, incorrect, or out-of-context information. In high-stakes corporate environments, legal teams cannot risk AI hallucinations, untraceable logic, or the blind recycling of past advice. For traceable and safe knowledge reuse, the platform must also offer a strict governance layer that includes:

• Rigorous access controls and ethical walls: Establish a robust permissions layer that dictates what data AI is allowed to touch, when, and by whom. Features such as customizable data access rights, role-based access controls, and matter-level confidentiality guarantee that AI tools (and individuals) cannot improperly access or cross-pollinate sensitive enterprise data.
• Clear auditability: Comprehensive audit trails allow in-house lawyers to trace exactly how and where sensitive information is accessed, stored, and used by humans and algorithms.
• Comprehensive data protection: Execute foundational security measures, such as advanced encryption, document lifecycle management, and retention policies, to lock down the data foundation.
• Shadow AI controls: Embed policy enforcement directly into everyday business operations. This prevents tech-impatient employees from inadvertently leaking sensitive corporate information or intellectual property into publicly available, unregulated AI tools.
• Shared responsibility governance: Model Context Protocol (MCP) is an open standard that enables AI systems to connect to enterprise tools and data sources. It simplifies how AI retrieves information, but it does not inherently govern what happens next. Platform vendors set the access model. AI tool vendors must respect it. End users and organizations configure and enforce the policies.

Lawyers have continuous supervision and control over their systems. They gain visibility into AI-enabled reasoning and can trace decisions back to reliable sources before advising the business. Verified answers instill confidence in outcomes.

Research shows that organizations that govern most carefully can deploy AI much more broadly across their workflows. And while 36 percent of organizations suffered a policy violation due to unregulated AI tools, the data reveals that those who invested early in a strict governance layer were the least affected.

When a unified, integrated foundation is anchored by rigorous governance, the legal department moves from a state of reactive survival to one of strategic leadership. This shift does more than just close the AI activation gap; it restores the GC’s ability to lead with clarity and confidence.

Scale without compromise

Transform corporate data from a fractured liability that grows in risk into an interconnected asset that grows in value. By establishing a trusted, integrated knowledge work platform, everyday legal decisions are accessible and compound into a reservoir of institutional intelligence. Explainable AI connected to a governed internal database ensures that legal guidance is accurate, traceable, and defensible.

Regulatory scrutiny is no longer a defensive nightmare. It becomes a proactive differentiator. Eliminating tech silos is a defensive measure against data leaks, security breaches, regulatory non-compliance, and other policy violations. With an AI-enabled platform connected to their familiar software, employees are not as tempted to use unregulated or publicly available AI tools. Strong governance also grants the organizational latitude to be more ambitious with technology. Corporate counsel can finally move from managing crises to scaling without compromise and future-proofing the enterprise’s ongoing evolution.