Case study
AI-assisted review that surfaces what matters first.
We built an eDiscovery and document-intelligence workflow that prioritizes relevant material and drafts privilege logs, compressing review timelines.
A litigation practice faced review sets in the millions of documents with shrinking deadlines. We layered semantic search, relevance ranking, and LLM-assisted summarization over their review platform — with privilege detection and human sign-off at every gate. Associates now review the most relevant material first, with draft summaries and privilege flags already attached.
What we deliver
- Semantic search and relevance ranking
- LLM-assisted document summarization
- Privilege detection with attorney sign-off
- Defensible, fully logged review workflow
Outcomes
Faster review
Document review cycles compressed by roughly 70%.
Lower cost
Outside review spend fell significantly per matter.
Defensible
Every AI suggestion is logged and attorney-reviewed.
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Let's build what matters.
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