eDiscovery Specialist
Plan and execute data collections
What You Do Today
Identify custodians, map data sources, conduct forensic collections from email, cloud, mobile, and collaboration platforms
AI That Applies
AI assists with data mapping, identifies additional data sources based on communication patterns, and automates collection from cloud platforms
Technologies
How It Works
The system ingests communication patterns as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output is a recommended plan or schedule that accounts for the identified constraints and optimization criteria.
What Changes
Data mapping is more comprehensive; AI identifies data sources you might miss (personal devices, ephemeral messaging, cloud collaboration)
What Stays
Collection protocol design, custodian communication, and the defensibility judgment that protects against spoliation claims
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for plan and execute data collections, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long plan and execute data collections takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your general counsel or managing partner
“What's the current accuracy of our forecasting, and how would we know if an AI model is actually better?”
They set the firm's AI adoption posture
your legal technology manager
“Which historical data do we have that's clean enough to train a prediction model on?”
They manage the tools and can show you capabilities you don't know exist
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.