A practical, three-part framework will help legal professionals move from AI experimentation to effective implementation.
With AI tools increasingly common in legal practice, the challenge has become putting technology to work effectively. That requires rethinking workflows, accounting for exceptions and human review, measuring results, and planning for implementation.
On November 10, eBrevia’s Bob Ferrante, Sophiya Volkova and Rick Wood will lead AI-Augmented Legal Workflows: A Map to Success, a live online continuing legal education (CLE) program offered by the Federal Bar Association and co-sponsored by myLawCLE.
The program will give legal professionals a practical framework for evaluating and implementing AI-augmented workflows, organized around three stages: Define, Design and Deploy.
From workflow analysis to implementation
The program begins with a fundamental question: Where can AI make a meaningful difference in legal work?
The first session, Define Legal Workflows: Map the Opportunity & Stakeholders, will examine how to identify promising workflows, document existing processes, account for exceptions and bring the right stakeholders into the planning process. Participants will explore how to build a project plan and budget case, with measurement incorporated from the start.
The second session, Design Legal Workflows: Understand and Implement Technical Capabilities, will focus on matching the right technologies to individual steps in a process. Topics include selecting AI and non-AI tools, working with technical teams, establishing human review and approval checkpoints, and testing workflows iteratively. The session will also address how to measure success beyond time savings, including accuracy, client delivery speed and error reduction.
The final session, Deploy Legal Workflows: Take Your Automation to Production, will cover the work required to move from a tested workflow to a production environment. Discussion will include security, user feedback, IT and management approvals, training and rollout. The session will also consider how organizations can build on early successes to expand automation and how law firms can address client expectations, transparency around AI use and the implications for hourly billing.
Three eBrevia speakers, three complementary perspectives
Bob Ferrante, Product Manager at eBrevia, brings a background in engineering, design, usability and product leadership. His work at eBrevia includes collaborating with clients to develop and refine software capabilities.
Sophiya Volkova, Account Director at eBrevia, brings experience in legal technology and transformation. Her previous roles at EY, Macfarlanes and Ashurst included work on technology adoption and operational challenges, including AI adoption in EY’s Tax function.
Rick Wood, Legal Technology Sales Executive at eBrevia, works with law firms and corporate legal departments on legal technology adoption and enterprise partnerships. His work focuses on the practical application of AI to contract workflows, including contract analysis and management.
Together, the speakers will address the operational, technical and organizational considerations that shape successful AI implementation.
Event details and registration
AI-Augmented Legal Workflows: A Map to Success
Date: Tuesday, November 10, 2026
Format: Live online broadcast
Time: 12:00–2:20 p.m. Eastern
CLE: Credit availability varies by jurisdiction
Registration: $195
The program is designed for legal professionals who want to move beyond AI experimentation and develop a practical roadmap for implementing, evaluating and scaling AI-augmented workflows.
View the program and register through the Federal Bar Association.
About eBrevia
Established in 2011 and trusted by some of the world’s most prestigious companies, eBrevia is a leader in AI contract analysis, review, negotiation and management with clients in the US, EMEA, and APAC. For more than a decade, eBrevia has served law firms, corporations, audit/consulting companies, and financial institutions, such as Baker McKenzie, Norton Rose Fulbright, Kroll, SAP, Intel, PwC, EY, and MUFG.
