Legal teams are drowning in manual work - spreadsheets, email chains, and ad-hoc workflows that burn thousands of hours each year. A new webcast from Exterro, scheduled as a live session with Q&A and on-demand replay, argues that the fix isn't asking AI better questions. It's building a structured, governed litigation operations framework that puts AI to work under human control.
The session targets legal operations leaders, corporate counsel, litigation managers, eDiscovery and information governance professionals, and IT leaders supporting legal departments. Registration is free, though advanced registration is recommended. The core pitch: move from reactive, AI-question-answering to proactive, automated, and governed litigation operations.
Automating the intake and hold process
One of the central topics is eliminating manual work in legal request intake, preservation, and legal hold processes. The webcast will show how enterprises are replacing spreadsheet tracking and email chains with purpose-built legal operations platforms. The stated goal is reducing thousands of hours of administrative burden annually.
For teams already exploring how to apply AI for Legal work, the session distinguishes between using AI as an oracle and using it as a controlled component of a defensible workflow.
Scaling without adding headcount
The webcast promises to reveal how centralized data models, standardized playbooks, and automated task routing allow legal teams to handle up to 10x operational scaling without adding staff. That means absorbing a higher volume of matters, investigations, and regulatory demands with the same or fewer resources.
For paralegals and legal operations staff, the practical applications of AI in document review and contract analysis are covered in dedicated AI for Paralegals training paths - but this webcast focuses on the enterprise-level systems question.
The gap between asking AI and trusting AI
The session directly addresses the critical gap between asking AI questions and trusting AI outputs. Attendees will learn how to implement governance, audit trails, and human-in-the-loop review to ensure AI-assisted decisions are compliant, repeatable, and defensible in court or before regulators.
The focus is on turning raw AI capability into a controlled, enterprise-grade function. Speakers will walk through a step-by-step approach to modernizing litigation operations: assessing current pain points, selecting the right technology stack, integrating with existing eDiscovery and records management systems, and measuring ROI through concrete metrics.
Why this matters for legal professionals
Legal data volumes are exploding and regulatory scrutiny is intensifying. The cost of manual processes is no longer sustainable - and the risk of trusting ungoverned AI outputs is just as high. This webcast offers a concrete alternative: automated intake, centralized oversight, and AI kept on a leash with audit trails and human review.
The practical takeaway for legal operations leaders is to stop treating AI as a Q&A tool and start treating it as a workflow component that requires governance, version control, and defensibility. For individual practitioners, the session signals which operational skills - process design, data management, and AI oversight - will matter most in the next phase of legal technology adoption.
Your membership also unlocks:
