eDiscovery Specialist
Build and manage TAR workflows
What You Do Today
Set up technology-assisted review, train the model with seed sets, validate recall and precision, manage the continuous active learning process
AI That Applies
Continuous active learning (CAL) improves on traditional TAR by learning continuously from each reviewer decision, requiring less seed set management
Technologies
How It Works
The system ingests each reviewer decision 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 results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
TAR is more automated with CAL; less upfront seed set management and more continuous learning from reviewer decisions
What Stays
Designing the TAR workflow, validating model performance, and defending the TAR methodology in court
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 build and manage tar workflows, 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 build and manage tar workflows 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 our current capability gap in build and manage tar workflows — and is it a people problem, a tools problem, or a process problem?”
They set the firm's AI adoption posture
your legal technology manager
“What's the biggest bottleneck in build and manage tar workflows today — and would AI address the bottleneck or just speed up something that's already fast enough?”
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.