Paralegal
Conduct factual research and investigation
What You Do Today
Research parties, witnesses, and companies through public records, court filings, corporate registrations, and online sources. Compile background investigation reports for the legal team.
AI That Applies
Investigative AI searches across public record databases, corporate registries, court filing systems, and open sources, compiling comprehensive background reports with source citations.
Technologies
How It Works
For conduct factual research and investigation, the system draws on the relevant operational data and applies the appropriate analytical models. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Background research that took days across multiple databases is compiled in hours. AI searches more sources more thoroughly than manual research across individual databases.
What Stays
You still evaluate source reliability, identify the facts that matter for the case strategy, follow up on leads AI can't pursue, and present findings in a format attorneys can act on.
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 conduct factual research and investigation, 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 conduct factual research and investigation 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 data do we already have that could improve how we handle conduct factual research and investigation?”
They set the firm's AI adoption posture
your legal technology manager
“Who on our team has the deepest experience with conduct factual research and investigation, and what tools are they already using?”
They manage the tools and can show you capabilities you don't know exist
a client who's adopted AI in their legal department
“If we brought in AI tools for conduct factual research and investigation, what would we measure before and after to know it actually helped?”
Their expectations for outside counsel are shifting
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.