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
Tasked with reviewing 300k documents in one week, a single partner used AI to classify complex issues and meet the court deadline.
A law firm taking over as new counsel on a legal matter inherited a rigid, court-mandated deadline to review more than 300,000 documents in a single week.
Missing the deadline would result in court sanctions, but the firm lacked the time and budget to scale up a traditional contract review team. The...
“aiR for Review helped us, and our client, meet demands that otherwise would have been impossible to meet. Our client is convinced and spreading the word. We are supporting a steady stream of aiR reviews, from a growing number of case teams, within the firm.”
eDiscovery, digital forensics, and legal support for corporations and law firms.
Legal data platform for e-discovery, investigations, and contract review.
Purpose Legal'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.
Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
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.
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.
Tasked with reviewing 300k documents in one week, a single partner used AI to classify complex issues and meet the court deadline.
A law firm taking over as new counsel on a legal matter inherited a rigid, court-mandated deadline to review more than 300,000 documents in a single week.
Missing the deadline would result in court sanctions, but the firm lacked the time and budget to scale up a traditional contract review team. The...
“aiR for Review helped us, and our client, meet demands that otherwise would have been impossible to meet. Our client is convinced and spreading the word. We are supporting a steady stream of aiR reviews, from a growing number of case teams, within the firm.”
eDiscovery, digital forensics, and legal support for corporations and law firms.
Legal data platform for e-discovery, investigations, and contract review.
Purpose Legal'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.
Lease review took days of associate time. AI now synthesizes facts in minutes, freeing 40 hours per case for strategy.
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.
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.