Claims Adjuster
Litigation Management
What You Do Today
Manage litigated claims — review defense counsel reports, approve litigation plans and budgets, attend mediations, respond to discovery requests. When a claim goes to suit, your role shifts from adjuster to file manager coordinating with attorneys.
AI That Applies
AI-assisted litigation timeline tracking and budget monitoring. NLP analysis of defense counsel reports for key updates and action items. Predictive models for trial outcomes based on judge, jurisdiction, and case facts.
Technologies
How It Works
For litigation management, the system draws on the relevant operational data and applies the appropriate analytical models. A language model processes the input by identifying relevant context, generating appropriate responses, and structuring the output to match the expected format and domain conventions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The strategic decisions.
What Changes
Defense counsel reports get auto-summarized into action items instead of buried in 15-page narratives. Budget tracking becomes proactive — the AI flags when legal spend is trending above similar cases.
What Stays
The strategic decisions. Settle before trial or roll the dice? Accept the mediator's proposal? Approve the expert witness budget? Litigation management is high-stakes decision-making under uncertainty.
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 litigation management, 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 litigation management 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 claims director or VP Claims
“What data do we already have that could improve how we handle litigation management?”
They're setting the automation strategy for your unit
your SIU lead
“Who on our team has the deepest experience with litigation management, and what tools are they already using?”
AI fraud detection changes how investigations are triggered and prioritized
a claims adjuster with 15+ years experience
“If we brought in AI tools for litigation management, what would we measure before and after to know it actually helped?”
Their judgment sets the benchmark that AI tools are measured against
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.