Manual e-discovery review was slow and inconsistent. Now, AI automates the first pass, freeing attorneys to validate the reasoning.
A multinational technology corporation's litigation group manages massive e-discovery operations, historically relying heavily on contract attorneys and outside counsel for high-volume document review.
Traditional first-level document review and privilege logging were notoriously slow and expensive. Relying solely on manual human review also yielded...
“We wanted to get through projects faster, increase consistency of decisions, and save money. When outside counsel is looking at data, we want to make sure it’s the right data.”
Enterprise software, cloud infrastructure, and consumer electronics platform.
Legal data platform for e-discovery, investigations, and contract review.
Guided Microsoft through Relativity aiR adoption and ran validation tests on data sets.
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.
Broad keyword searches buried teams in irrelevant files. Now, AI scores 40k documents and extracts key facts to focus expert reviewers.
Email intake buried lawyers in routine contracts. Now, AI handles first-pass reviews and lets staff generate compliant agreements.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Reviewing expert reports took hours of manual scrutiny. AI now surfaces inconsistencies and structures findings in minutes.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
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.
Manual e-discovery review was slow and inconsistent. Now, AI automates the first pass, freeing attorneys to validate the reasoning.
A multinational technology corporation's litigation group manages massive e-discovery operations, historically relying heavily on contract attorneys and outside counsel for high-volume document review.
Traditional first-level document review and privilege logging were notoriously slow and expensive. Relying solely on manual human review also yielded...
“We wanted to get through projects faster, increase consistency of decisions, and save money. When outside counsel is looking at data, we want to make sure it’s the right data.”
Enterprise software, cloud infrastructure, and consumer electronics platform.
Legal data platform for e-discovery, investigations, and contract review.
Guided Microsoft through Relativity aiR adoption and ran validation tests on data sets.
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.
Broad keyword searches buried teams in irrelevant files. Now, AI scores 40k documents and extracts key facts to focus expert reviewers.
Email intake buried lawyers in routine contracts. Now, AI handles first-pass reviews and lets staff generate compliant agreements.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Reviewing expert reports took hours of manual scrutiny. AI now surfaces inconsistencies and structures findings in minutes.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
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.