Paralegal
Draft discovery requests and responses
What You Do Today
Draft interrogatories, requests for production, and requests for admission from case strategy. Prepare responses to opposing discovery, coordinate with the client on document collection.
AI That Applies
Discovery drafting AI generates initial discovery requests from case issues and prior similar cases, and drafts response frameworks with standard objections for attorney customization.
Technologies
How It Works
The system ingests case issues and prior similar cases as its primary data source. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The output — initial discovery requests from case issues and prior similar cases — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
First drafts of discovery are generated from case parameters. AI suggests requests based on similar cases and generates response frameworks with appropriate objections.
What Stays
You still tailor discovery to the specific case strategy, coordinate the client's document collection, and work with attorneys to finalize responses that balance disclosure with protection.
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 draft discovery requests and responses, 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 draft discovery requests and responses 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 content do we produce the most of that follows a repeatable structure?”
They set the firm's AI adoption posture
your legal technology manager
“What's our current review and approval process, and would AI-generated first drafts change the bottleneck?”
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.