Digitizing Compliance Playbooks with AI

AmLaw 100 Firm LLP faced a range of operational, structural, and strategic challenges that limited their ability to scale efficiently. The organization relied on highly manual document review workflows, often requiring multiple senior staff to review hundreds of pages of content for each engagement. This process not only consumed significant billable time but also made it difficult to maintain consistency across different offices and teams. Existing search tools lacked contextual awareness, meaning associates had to sift through repositories manually to locate relevant precedents. Additionally, the firm’s knowledge was dispersed across siloed systems — legacy DMS, shared drives, and email attachments — with no unified layer linking related matters. As new regulations and client requirements evolved, teams struggled to keep internal knowledge up to date, leading to version control issues and lost productivity. While leadership recognized the potential of AI, they required a solution that could operate entirely within their private environment, maintaining the same security posture as their client-facing systems. The result was a bottleneck between innovation and compliance — technology that could speed up review existed, but data protection policies made external AI platforms off-limits. This tension between efficiency and privacy defined the need for AtlasAI: a secure, firm-owned AI system capable of automating reviews and surfacing knowledge without leaving the network.

AtlasAI was deployed as a private AI platform designed to unify structured and unstructured data across the AmLaw 100 Firm LLP's ecosystem. Using out-of-the-box modules — including Knowledge Graph, Playbooks, Tabular Review, and the Word Plugin — the implementation focused on augmenting existing workflows rather than replacing them. The Knowledge Graph automatically indexed millions of documents, linking matters, clauses, and key outcomes through entity recognition and contextual tagging. Playbooks transformed static checklists into interactive, rule-based workflows that guided teams through each review with AI-driven recommendations. Tabular Review provided a structured visualization layer, extracting critical data points such as clause variations, governing laws, and key risk factors. The Word Plugin embedded AtlasAI directly into the drafting environment, allowing attorneys and analysts to access firm intelligence in real-time without switching applications. Importantly, the entire deployment was contained within the firm’s Azure environment, leveraging single sign-on and zero external API calls. This ensured compliance with data privacy obligations while giving teams the confidence to explore generative AI tools safely. AtlasAI also introduced self-learning capabilities: as new documents were added or reviewed, the system enriched its internal graph, automatically improving accuracy and contextual recall over time.

The deployment of AtlasAI delivered measurable, sustained results across both productivity and institutional knowledge metrics for AmLaw 100 Firm LLP. Within the first quarter, average review times dropped by over 60%, freeing hundreds of billable hours per month. The Knowledge Graph enabled instant recall of prior work product, turning past engagements into living assets rather than static archives. Cross-team collaboration improved as every practice group gained visibility into shared clauses, templates, and successful outcomes. Quantitatively, the firm observed significant improvements in response times — document classification tasks that previously took hours were completed in minutes. Qualitatively, partners noted higher confidence in AI-generated outputs, as the system used only the firm’s own vetted data. From a security perspective, zero incidents were reported, validating the private-deployment model. Clients benefited from faster turnaround, more consistent analysis, and better transparency. Ultimately, AtlasAI helped the organization establish a durable competitive advantage — combining automation, compliance, and institutional intelligence into one cohesive platform.