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Case Study: Legal & Compliance

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Scaling Legal AI Without Increasing Risk

<p class="large">A mid-sized law firm adopted AI for contract review, expecting efficiency gains. Instead, they got inconsistent risk assessments, compliance gaps, and skeptical attorneys who didn’t trust the AI’s outputs.</p>

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The Problem

<p class="large">- Audited their AI governance (or lack thereof).<br /><br />- Standardized risk assessment criteria so the AI flagged issues consistently.</p>
<p class="large">- Implemented human-in-the-loop workflows to ensure final decisions aligned with legal standards.</p>

What We Did

<p class="large">✔ 30% fewer manual contract reviews, freeing attorneys for higher-value work.<br /><br />✔ AI-generated risk assessments that actually made sense—no more random red flags.</p>
<p class="large">✔ Compliance risks reduced, as AI outputs aligned with firm-wide legal standards.</p>

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Results

<p class="large">Throwing AI at a legal problem without governance is like handing a law student a stack of contracts and hoping for the best. We fixed the system so the AI worked with the lawyers, not against them.</p>

The Takeaway

Danny Katz Consulting

We help companies fix knowledge chaos, streamline AI governance, and build systems that actually work. Whether it’s unsearchable knowledge silos, AI making bad decisions due to bad data, or compliance teams struggling with operational execution—we solve the problems that stall productivity, increase risk, and waste time.