Technology CLE Course Catalog

2022 will continue to consist of employees located everywhere, and relying upon Microsoft Teams, Zoom, Slack, and mobile apps to get their jobs done. This is having profound effects on eDiscovery, most of which still depends on tools and review processes designed for email. How can firms prepare for the discovery onslaught of persistent chats, video recordings, whiteboards, and emojis?

What does the military concept of force multiplier look like applied to legal practice? In the most basic terms, doing more with less. This panel dives into the major ways that AI models are helping eDiscovery professionals gain access to evidence with less human effort required, make better-informed decisions, and reduce time to insight. And practical tips on how to build and utilize AI models in your practice.

Norton Rose Fulbright’s David Kessler, Anna Rudawski and Sam Sessler work together guiding clients through the investigation, containment, and remediation of some of the world’s most high-profile cybersecurity incident response matters. Join us as they discuss legal considerations and data and reporting challenges, while also sharing practical strategies, tools and workflows for practicing effectively in this complex area.

Legal professionals face an unprecedented volume, variety, velocity, and complexity of data. Legal AI, such as data visualization, active learning, sentiment analysis, and AI models offer tools to address these challenges - but work best in experienced and creative hands. Learn how savvy law firms are implementing innovative AI-based solutions to future-proof their practices, uncover new opportunities for revenue, and increase profitability. In this session, some of the most successful and innovative eDiscovery practice leaders discuss how with Legal AI in discovery they drive adoption, improve client results, and increase revenue.

Corporate legal teams with escalating workloads and competing business demands are increasingly looking to technology to help solve their problems. From document and e-billing to digital contracting, legaltech can help teams become more strategic and productive -- doing more with less and improving their efficiency and effectiveness across the company.

Given the sheer amount of discoverable data that's out there, the ability to distinguish actual from pseudo privileged information is nearly impossible without the application of "smart" auto-extraction & sifting tools. With communication channels and data sources constantly evolving, is the tedious approach keyword search approach to privilege review still the right option? It does get the job done but with the power of data science & automation at your disposal, why not save time and money?

-- Non-CLE Program -- Perhaps the hottest trend in legal tech at the moment involves contract automation and digital contracts. The partnership between legal expertise and artificial intelligence creates new opportunities for efficiency, accuracy, data analytics, and management of complex agreements. With this blending of technology and legal services, there will be ample opportunities for success for attorneys and knowledge professionals who understand how to adapt and specialize in these new professionals roles.

-- NON-CLE Program -- Knowledge management initiatives have proven to be a game-changer within firms and corporations over the years and legal technology has only enhanced this. Given the unique position of knowledge management professionals in their organizations, they are ideally positioned to evaluate legal technology solutions and steer their adoption in practice groups and legal departments. This session will offer insights from KM professionals on the way to a more efficient legal organization.

Technology-assisted review has come a long way since its early introduction as predictive coding. While each version has its merits and place, it is important to understand that in order to select the right approach for your discovery needs, one must truly understand the underlying process and variables such as time and cost. However, has the time come for TAR 3.0 and what does that look like for discovery professionals?