Somya Kaushik

Teams are under relentless pressure to respond faster, navigate growing complexity, and give business partners clear, usable advice, all without sacrificing standards or increasing risk. AI is rapidly becoming part of that toolkit, helping to triage work, draft and refine documents, surface issues sooner, and support decision making across functions. The opportunity is significant, but so are the risks when outputs go unchecked, context is thin, or usage is inconsistent across the department. Today, practical, trustworthy AI in legal work depends less on clever prompts and more on disciplined habits, clear guardrails, and repeatable workflows that can be shared, audited, and continuously improved.

• Master the instruments by learning how to frame instructions, constraints, and context so AI delivers accurate and defensible outputs
• Create reliable routes by applying repeatable AI workflows across high-volume activities such as contract review, issue spotting, drafting, and stakeholder communications
• Build a trusted navigation system by turning individual experiments into shared playbooks that maintain quality, control, and continuous improvement