How AI-assisted privilege review works, and where attorneys must stay in the loop
Practical safeguards for attorney-client privilege and work product when using AI tools
Building defensible privilege logs with AI support
Managing inadvertent disclosure risk, including clawback agreements
Prioritising preservation and collection when time is short
Using AI to surface key people, events and documents early
Keeping the investigation defensible, confidential and proportionate
Coordinating legal, compliance, HR and IT from day one
Turning large document sets into working chronologies faster
Using AI outputs to inform early case assessment and budgeting
Checking and validating AI-generated summaries before relying on them
Where AI adds the most value in fact development, and where it does not
Key questions to ask AI vendors about data handling, security and model use
Building an AI use policy that works in practice
Assessing risk across confidentiality, privacy and client obligations
Documenting decisions so they stand up to scrutiny
Applying duties of competence, confidentiality and supervision to AI use
Supervising AI-assisted work by attorneys, staff and vendors
Protecting client information when using AI tools
Practical policies and checkpoints for everyday use
Where AI fits from processing and review through to production
How generative AI review compares with traditional TAR
Validation approaches that support defensibility
Managing cost and timelines across complex matters
Principles of effective prompts for legal tasks
Testing and refining prompts against sample data
Validating results with measurable metrics
Documenting prompts and results to support defensibility
Privilege in the Age of AI
AI-Accelerated Internal Investigations: The First 72 Hours
From Facts to Strategy: Using AI for Case Chronologies and Early Case Assessment
AI Governance and Vendor Due Diligence: What Legal Teams Need to Know
AI and Ethical Obligations: Competence, Supervision and Confidentiality
eDiscovery and AI: From Data to Delivery
AI in Practice: Writing, Testing and Validating Defensible Prompts
We can shape a session around your practice areas, matters and priorities.
Real-world applications of AI across litigation, investigations and eDiscovery, not abstract commentary.
Relevant for attorneys, legal operations, litigation support, knowledge management, IT and compliance.
Leave with approaches your team can apply to current matters, workflows and policies.
Shaped around your organization's practice areas, priorities and level of AI maturity.
Choose your topic
Pick one of our briefing topics, combine several, or ask for a session built around your needs.
We tailor the content
We'll talk with you about your team, your matters and what you want attendees to leave with.
Delivered your way
Virtually via Microsoft Teams or Zoom, as a lunch-and-learn or a series.
Anyone involved in legal work, including attorneys, in-house counsel, legal operations, litigation support, eDiscovery, knowledge management, IT, risk and compliance professionals.
No. Legal AI Briefings are complimentary.
Yes. We shape each briefing around your practice areas, matters and priorities, and can combine topics into one session.
Each session is led by Law In Order legal technology specialists who work across litigation, investigations and eDiscovery matters.
No. We tailor each session to your team's current level of AI maturity, whether you're just starting to explore AI or already using it across matters.
Yes. Choose a single session, a lunch-and-learn webinar, or an ongoing education program across several topics.
