Chief Legal Officer
Litigation Management
What You Do Today
Oversee all litigation — outside counsel management, settlement authority, litigation strategy, and budget. You're managing a portfolio of cases and deciding which to fight and which to settle.
AI That Applies
AI litigation analytics that predict case outcomes, benchmark legal spend, and monitor outside counsel performance.
Technologies
How It Works
The system ingests outside counsel performance as its primary data source. Predictive models fit to historical outcome data identify which variables are the strongest leading indicators, then apply those weights to current inputs to generate forward-looking scores. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The strategy.
What Changes
Case outcome predictions inform strategy. The AI shows that cases with this judge and fact pattern settle at a predictable range, grounding your settlement authority.
What Stays
The strategy. When to settle, when to try, how to manage outside counsel, and how to position the case for the best outcome.
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 board chair or lead independent director
“What data do we already have that could improve how we handle litigation management?”
They shape expectations for how AI appears in governance
your CTO or CIO
“Who on our team has the deepest experience with litigation management, and what tools are they already using?”
They own the technology infrastructure that enables AI adoption
a peer executive at a company further along on AI adoption
“If we brought in AI tools for litigation management, what would we measure before and after to know it actually helped?”
Their lessons learned are worth more than any consultant's framework
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.