61/100
Moderate Stable
Litigation Support
3-5 years-6 in 12mo
E-discovery AI from Relativity, Logikcull, and Reveal processes millions of documents in days. Predictive coding reduces human review by 60-80%. But trial preparation, deposition strategy, and the judgment calls in active litigation still need human legal professionals.
Primary Driver
AI Automation
Decay Pattern
Steady
12mo Projection
55/100
-6 pts
Safety Trajectory
Steady decay model61
Now
58
6mo
55
1yr
48
2yr
42
3yr
The AI angle
AI handles document review, predictive coding, privilege detection, and timeline construction. It processes volumes no human team could match. What AI can't do: develop case strategy, prepare witnesses, make judgment calls about what evidence to present, and read juries.
What to do about it
• Master e-discovery platforms (Relativity, Reveal, Logikcull)
• Move from document review to case strategy and trial preparation
• Learn litigation analytics and outcome prediction tools
• Build expertise in complex litigation management and trial technology
People also ask
Is litigation support being automated?
Document review and e-discovery are heavily automated. Predictive coding reduces human review by 60-80%. But case strategy, trial prep, and litigation judgment remain human skills.
What litigation support skills survive?
Case strategy, trial technology, deposition preparation, and complex litigation management. The value moves from document review to strategic litigation support.
What should litigation paralegals learn?
E-discovery platforms, litigation analytics, trial technology, and case management tools. The paralegals thriving use AI for document work and focus on strategic case support.
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