Case study

Lawlio

Automating ~95% of a Law Firm's Case Work

We built an AI case-management platform that takes nearly all of the repetitive paralegal work off a personal-injury firm's plate, so the team spends its time moving cases forward instead of pushing paper.

Lawlio built by Omate Labs
$60K
Saved a year on manual case work
~95%
Of repetitive case work automated
2× faster
Case turnaround, with fewer errors

The challenge

Personal-injury firms live and die by case throughput, but paralegals lose most of their day to repetitive admin: intake, document sorting, chasing medical records, and status updates. The work is high-volume, error-prone, and impossible to scale without adding headcount.

What we built

We designed and shipped an AI case-management platform built around the firm's real workflow. Documents get processed and classified automatically, autonomous agents track every case and surface what needs attention, and guided onboarding spins up new matters in minutes. Everything wires into the firm's CRM, so status updates happen without anyone touching a keyboard.

  • AI document processing and intake classification
  • Autonomous agents that track each case end to end
  • AI-guided onboarding for new matters
  • CRM automation for status updates and follow-through

The result

By automating close to 95% of a paralegal's repetitive case work, the firm saves around $60,000 a year and moves cases about twice as fast, with fewer errors. The team now spends its time on the work that actually needs a person.

Services

Document ProcessingAgents TrackingAI OnboardingCRM Automation

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