Bilingual drafting bottlenecked 20 lawyers. Now, attorneys use AI to draft motions and analyze data rooms, elevating legal strategy.
A 20-lawyer full-service business law firm in Puerto Rico operates across a mixed civil and common law system, handling complex matters in both Spanish and English.
Senior attorneys spent significant time manually handling first drafts, bulk document review, translations, and proposal generation. This...
“No matter how long you’ve been in practice, no one lawyer knows it all. Harvey helps us spot more issues, add more layers, and consistently deliver better work product.”
Full-service business law firm specializing in litigation and corporate law.
Harvey is a generative AI company that innovates the future of professional services with advanced AI solutions.
Estrella's Legal document analysis is part of this use case:
Related implementations across industries and use cases
Complex regulatory reviews bottlenecked a lean firm. Now, lawyers use AI to surface risks in massive datasets and stress-test arguments.
Massive reviews made some cases impossible. AI now summarizes hundreds of reports and maps complexity, cutting weeks of work to days.
Manually reviewing 30,000 files threatened a tight 3-week deadline. AI now drafts custom privilege logs for attorneys to quickly refine.
Complex regulatory reviews bottlenecked a lean firm. Now, lawyers use AI to surface risks in massive datasets and stress-test arguments.
Massive reviews made some cases impossible. AI now summarizes hundreds of reports and maps complexity, cutting weeks of work to days.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Broad keyword searches buried teams in irrelevant files. Now, AI scores 40k documents and extracts key facts to focus expert reviewers.
Bilingual drafting bottlenecked 20 lawyers. Now, attorneys use AI to draft motions and analyze data rooms, elevating legal strategy.
A 20-lawyer full-service business law firm in Puerto Rico operates across a mixed civil and common law system, handling complex matters in both Spanish and English.
Senior attorneys spent significant time manually handling first drafts, bulk document review, translations, and proposal generation. This...
“No matter how long you’ve been in practice, no one lawyer knows it all. Harvey helps us spot more issues, add more layers, and consistently deliver better work product.”
Full-service business law firm specializing in litigation and corporate law.
Harvey is a generative AI company that innovates the future of professional services with advanced AI solutions.
Estrella's Legal document analysis is part of this use case:
Related implementations across industries and use cases
Complex regulatory reviews bottlenecked a lean firm. Now, lawyers use AI to surface risks in massive datasets and stress-test arguments.
Massive reviews made some cases impossible. AI now summarizes hundreds of reports and maps complexity, cutting weeks of work to days.
Manually reviewing 30,000 files threatened a tight 3-week deadline. AI now drafts custom privilege logs for attorneys to quickly refine.
Complex regulatory reviews bottlenecked a lean firm. Now, lawyers use AI to surface risks in massive datasets and stress-test arguments.
Massive reviews made some cases impossible. AI now summarizes hundreds of reports and maps complexity, cutting weeks of work to days.
Manual research took days. Consultants now generate cited summaries in minutes, validating findings instantly during client meetings.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Attorneys juggled fragmented tools to search 50,000 cases. An AI orchestrator now routes queries to sub-agents in a single chat.
Broad keyword searches buried teams in irrelevant files. Now, AI scores 40k documents and extracts key facts to focus expert reviewers.