Foley & Lardner
Document review
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
- ~$30K saved vs TAR-based review
- 500K-doc review completed in under a week
Opaque AI flags forced counsel to manually re-read documents. Now, generative AI cites its reasoning to accelerate final decisions.
A professional services firm was engaged by a multinational client to review four million multilingual, multi-jurisdictional documents under tight disclosure deadlines.
Standard active learning models lacked transparency, failing to explain why documents were flagged as relevant or irrelevant. This gap resulted in a...
“We didn’t just add a tool. We transformed the workflow, collaborating to pioneer the integration of generative AI into the client’s review process, reducing noise, and enabling focus on truly relevant information.”
Global professional services network for audit, tax, and consulting.
Legal data platform for e-discovery, investigations, and contract review.
PwC's Legal document review is part of this use case:
Related implementations across industries and use cases
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
TAR scored chat too low—key evidence slipped through. AI screens first and surfaced all three docs opposing counsel used in deposition.
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Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
TAR scored chat too low—key evidence slipped through. AI screens first and surfaced all three docs opposing counsel used in deposition.
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Opaque AI flags forced counsel to manually re-read documents. Now, generative AI cites its reasoning to accelerate final decisions.
A professional services firm was engaged by a multinational client to review four million multilingual, multi-jurisdictional documents under tight disclosure deadlines.
Standard active learning models lacked transparency, failing to explain why documents were flagged as relevant or irrelevant. This gap resulted in a...
“We didn’t just add a tool. We transformed the workflow, collaborating to pioneer the integration of generative AI into the client’s review process, reducing noise, and enabling focus on truly relevant information.”
Global professional services network for audit, tax, and consulting.
Legal data platform for e-discovery, investigations, and contract review.
PwC's Legal document review is part of this use case:
Related implementations across industries and use cases
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
TAR scored chat too low—key evidence slipped through. AI screens first and surfaced all three docs opposing counsel used in deposition.
Manually scanning past deals bottlenecked negotiations. Now, partners use AI to query precedents and answer clients in minutes.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
TAR scored chat too low—key evidence slipped through. AI screens first and surfaced all three docs opposing counsel used in deposition.
With 115K annual applicants, managers read resumes between van breakdowns. Now Maria screens, schedules, and offers—managers just decide.
Officers hand-checked vendor compliance and stitched procurement docs from scattered files. Now a bot and AI handle both.
Manual reviews of massive contracts bottlenecked cash flow. Now, lawyers use embedded AI agents to dissect agreements and accelerate deals.
A lean legal team spanning three continents sent its hardest work — M&A diligence, disputes — to outside firms. Harvey brought it home.