Paralegal
Process and review discovery documents
What You Do Today
Receive document productions, load into review platforms, apply coding protocols, perform first-level review for relevance and privilege, and prepare privilege logs.
AI That Applies
eDiscovery AI performs technology-assisted review, applying relevance and privilege coding, clustering similar documents, and generating draft privilege log entries with attorney review.
Technologies
How It Works
For process and review discovery documents, the system draws on the relevant operational data and applies the appropriate analytical models. 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
Document review volume is dramatically reduced. AI performs first-pass review, and you focus on the documents AI flags as borderline or requiring human judgment.
What Stays
You still manage the review workflow, handle quality control sampling, prepare documents for attorney review, and exercise judgment on privilege calls that require context.
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 process and review discovery documents, 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 process and review discovery documents 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
“Which steps in this process are fully rule-based with no judgment required?”
They set the firm's AI adoption posture
your legal technology manager
“What's the error rate on the manual version, and what would "good enough" look like from an automated version?”
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.