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Intelligent Case Management & Investigation

Legal, Compliance, Risk, ESG

AI-augmented platforms that triage, prioritize, and accelerate compliance investigations and legal-matter workflows from intake through resolution.

Problem class

Investigation teams face overwhelming document volumes and manual triage; AI-powered review reduces project timelines by up to 90% and cuts review costs by 60%.

Mechanism

Intake workflows classify reports by type, severity, and jurisdiction, routing them to appropriate investigators via priority-scoring algorithms. AI-assisted document review uses predictive coding and active learning to surface relevant evidence from large populations. Analytics engines track case timelines, identify patterns across investigations, and generate regulatory-ready case reports.

Required inputs

  • Case intake data from hotlines, audits, and referrals
  • Document populations for AI-assisted review and analysis
  • Investigation protocols and escalation rules by case type
  • Regulatory reporting requirements and filing templates

Produced outputs

  • Prioritized case queues with AI-scored severity ratings
  • Investigation reports with evidence-linked findings
  • Pattern-analysis dashboards surfacing systemic issues across cases
  • Regulatory-ready filing packages (SARs, enforcement responses)

Industries where this is standard

  • Financial services: regulatory investigations and enforcement responses demand scalable case management
  • Healthcare: False Claims Act and billing-fraud investigations require structured case workflows
  • Technology: data-breach investigations and IP-theft cases involve massive document populations
  • Energy / mining: environmental-incident investigations and regulatory enforcement responses need structured tracking

Counterexamples

  • Using predictive coding without defensibility protocols risks judicial challenges to evidence selection; courts require documented methodology and quality-control validation.
  • Centralizing all investigation types into one workflow without severity-based triage buries high-priority fraud cases under routine HR matters, delaying critical responses.

Representative implementations

  • Foley & Lardner completed a 117-million-document investigation 10× faster using Relativity, saving an estimated $10 million in review costs.
  • JND eDiscovery saved 750+ reviewer hours on class-action case using Relativity aiR, reducing total project time by nearly 90%.
  • OneTrust compliance automation reduced investigation-scoping effort by 38% and implementation time by 61% across enterprise case workflows.

Common tooling categories

eDiscovery platforms, investigation-workflow engines, predictive-coding and active-learning tools, case-analytics dashboards, and regulatory-filing generators.

Share:

Maturity required
High
acatech L5–6 / SIRI Band 4–5
Adoption effort
High
multi-quarter