Mastering AI in the Legal Department: 6 Essential Insights for Smarter Workflows

As AI continues to transform legal operations, in-house teams are expected to understand not only emerging technologies but also how to deploy them strategically, safely, and effectively. With rapid developments in LLM capabilities—alongside ongoing challenges like hallucinations, context limits, and data governance—legal departments need practical, grounded guidance on where AI can create real value. This session breaks down the key concepts shaping modern legal workflows, including Context Windows, RAG, Model Coupling, and Agentic Workflows, and translates them into actionable strategies for legal teams seeking efficiency and accuracy.

Join us on Thursday, December 11 at 12pm ET as Jonathan Greenblatt (VP, Legal, LinkSquares), Sean Lindsay (SVP, Engineering, LinkSquares), and Rich Kuzsma (Director, Data Science & Engineering, LinkSquares) explore how in-house legal professionals can leverage AI with Large Language Models (LLMs) to save time, strengthen processes, and future-proof department operations. Expect clear explanations, real-world examples, and practical insights designed specifically for in-house counsel and legal operations teams.

Key Takeaways:

• Future-proof your AI strategy to adapt to new model releases without rebuilding workflows.
• Overcome AI limitations, including hallucinations and context window constraints.
• Use RAG to scale analysis across large volumes of legal documents.
• Understand the roles of copilots vs. agents within legal workflows.
• Evaluate the strengths, weaknesses, and risks of AI-driven contract analysis.
• Gain clarity on how tools like ChatGPT and Claude train on your data and what that means for internal processes.

Who Should Attend:

This session is designed for in-house counsel and legal operations professionals looking to streamline workflows, deliver more efficient legal services, and align AI-driven improvements with broader business goals.