Paralegal
Prepare trial exhibits and demonstratives
What You Do Today
Organize potential exhibits, prepare exhibit lists, create exhibit binders, produce trial demonstratives (timelines, charts, summaries), and manage the exhibit database for trial presentation.
AI That Applies
Trial preparation AI organizes exhibits by witness and topic, generates draft exhibit lists, creates automated timelines and summaries from case data, and manages exhibit databases.
Technologies
How It Works
For prepare trial exhibits and demonstratives, 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 output — draft exhibit lists — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Exhibit organization and timeline creation are dramatically faster. AI generates visual demonstratives from case data that you refine for courtroom impact.
What Stays
You still work with attorneys on exhibit strategy, ensure exhibits meet evidentiary requirements, manage the logistics of trial presentation, and handle real-time exhibit management at trial.
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 prepare trial exhibits and demonstratives, 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 prepare trial exhibits and demonstratives 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 prepare trial exhibits and demonstratives?”
They set the firm's AI adoption posture
your legal technology manager
“Who on our team has the deepest experience with prepare trial exhibits and demonstratives, 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 prepare trial exhibits and demonstratives, 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.