Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
A law firm that regularly handles large-scale document discovery for corporate clients in complex, multi-party litigation, where individual matters can involve millions of documents and lean teams facing aggressive deadlines.
A multi-party matter required reviewing 500,000 documents after culling, with aggressive deadlines and a small attorney team. Traditional...
“Being able to quickly compare issue patterns across incoming and outgoing productions fundamentally changed how we viewed the facts and determined areas of focus. Without aiR for Review, that level of analysis simply wouldn’t have been possible.”
International law firm for corporate, intellectual property, and litigation matters.
Legal data platform for e-discovery, investigations, and contract review.
Foley & Lardner's Document review is part of this use case:
Related implementations across industries and use cases
Tasked with reviewing 300k documents in one week, a single partner used AI to classify complex issues and meet the court deadline.
TAR scored chat too low—key evidence slipped through. AI screens first and surfaced all three docs opposing counsel used in deposition.
Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
Tasked with reviewing 300k documents in one week, a single partner used AI to classify complex issues and meet the court deadline.
TAR scored chat too low—key evidence slipped through. AI screens first and surfaced all three docs opposing counsel used in deposition.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
No associates by design — 300 partners handling research, drafting, and review. Harvey fills the bench, delivering analysis overnight.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
A law firm that regularly handles large-scale document discovery for corporate clients in complex, multi-party litigation, where individual matters can involve millions of documents and lean teams facing aggressive deadlines.
A multi-party matter required reviewing 500,000 documents after culling, with aggressive deadlines and a small attorney team. Traditional...
“Being able to quickly compare issue patterns across incoming and outgoing productions fundamentally changed how we viewed the facts and determined areas of focus. Without aiR for Review, that level of analysis simply wouldn’t have been possible.”
International law firm for corporate, intellectual property, and litigation matters.
Legal data platform for e-discovery, investigations, and contract review.
Foley & Lardner's Document review is part of this use case:
Related implementations across industries and use cases
Tasked with reviewing 300k documents in one week, a single partner used AI to classify complex issues and meet the court deadline.
TAR scored chat too low—key evidence slipped through. AI screens first and surfaced all three docs opposing counsel used in deposition.
Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
Tasked with reviewing 300k documents in one week, a single partner used AI to classify complex issues and meet the court deadline.
TAR scored chat too low—key evidence slipped through. AI screens first and surfaced all three docs opposing counsel used in deposition.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
No associates by design — 300 partners handling research, drafting, and review. Harvey fills the bench, delivering analysis overnight.