How You Can Use AI to Help Your Proxy Drafting Process: Six Things

Key Takeaways

• AI can draft initial proxy summary, but requires human review
• AI extracts performance metrics and suggests layout options
• AI compares your proxy with peers to identify gaps
• AI flags inconsistencies across compensation tables for verification
• Closed‑system AI protects confidential draft information from leaks

Pulse Analysis

Artificial intelligence is reshaping corporate governance documentation, yet its adoption in proxy drafting remains a double‑edged sword. While generative models can churn out boilerplate language in minutes, they lack the nuanced understanding of a company’s unique facts, materiality judgments, and investor sentiment. This gap can produce vague disclosures that proxy advisors and shareholders disdain, and that litigators may target in securities lawsuits. Companies therefore face a strategic choice: leverage AI’s speed while instituting rigorous human oversight to avoid regulatory fallout.

When deployed thoughtfully, AI excels at several tactical tasks. It can produce a first‑draft narrative for the proxy’s forepart or CD&A summary, freeing legal teams to focus on substance. The technology also aggregates performance metrics, proposes visual layouts, and conducts comparative analyses of peer proxies, revealing best‑practice language and potential peer‑group adjustments. Moreover, AI can scan compensation tables for numerical inconsistencies, a labor‑intensive step that benefits from algorithmic precision. These capabilities translate into measurable time savings and more data‑driven decision‑making during the annual reporting cycle.

Best practices dictate that AI outputs never be published without a human sign‑off and that firms use closed‑system models to safeguard confidential draft material. Integrating AI into a controlled workflow—where drafts are reviewed, fact‑checked, and aligned with materiality standards—mitigates the risk of inadvertent misstatements. As regulatory bodies increasingly scrutinize AI‑generated disclosures, companies that combine technological efficiency with disciplined governance will gain a competitive edge, delivering clearer proxy statements while minimizing exposure to litigation.