Jonathan Greenblatt (VP, Legal, LinkSquares)
As LinkSquares VP of Legal, Jonathan has responsibility for managing LinkSquares’ day-to-day legal operations. In this role, Jonathan oversees the commercial contracts function, handles corporate matters, and advises on privacy matters. Prior to joining LinkSquares, he was Associate General Counsel at a leading cybersecurity company. There he negotiated complex commercial agreements and managed the contracts function while advising on GDPR and other relevant privacy regimes. Jonathan’s previous experience includes in-house roles at companies in the Internet of Things and Green Rnergy technology sectors. During law school, Jonathan also worked as a law clerk at Fannie Mae.
Sean Lindsay (SVP, Engineering, LinkSquares)
A veteran of more than a half dozen startups, Sean is an accomplished technical entrepreneur and leader with a strong history of developing and leading remarkable teams who design and deliver new products to emerging markets. He is currently the Founder and CEO of Eager Labs, providing scaling companies with talent and leadership development services and the SVP, Engineering at LinkSquares, leading the effort to modernize corporate legal operations.
Rich Kuzsma (Director, Data Science & Engineering, LinkSquares)
Rich is a hands-on technical manager who enjoys working on complex problems, coaching software engineers, and delivering quality software for customers.
THIS PROGRAM IS NOT CLE ELIGIBLE
Mastering AI in the Legal Department: 6 Essential Insights for Smarter Workflows
Event Description
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.
THIS PROGRAM IS NOT CLE ELIGIBLE
There is NO COST to attend this program!
This program is FREE thanks to our gracious sponsor, LinkSquares! If you can’t make it to the live program, the recording will be available for viewing via our Free Video Library.
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