Legal teams manually reviewed inconsistent guidelines. AI now extracts clauses and summarizes obligations for rapid compliance checks.
An international law firm managing over 1,100 outside counsel guidelines totaling approximately 40,000 pages of complex compliance requirements.
Guidelines ranged from single-page letters to 210-page documents with multiple appendices, making manual review labor-intensive and error-prone. The...
“Kira Quick Study has enabled us to get a much better handle on the obligations that we’re assuming for our clients. The value of this is that we can quickly assess whether a particular set of OCGs poses risks to the enterprise and how we should respond to clients.”
International law firm providing sector-focused legal and business solutions.
Legal technology for document drafting, review, and collaboration.
Gowling WLG's Legal document review is part of this use case:
Related implementations across industries and use cases
Manual review bottlenecked strategy. AI now handles redlining and extraction, freeing lawyers for deep problem solving.
Analyzing vast legal data bottlenecked client work. Now lawyers use AI to accelerate analysis, with every output reviewed for quality.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Manual review bottlenecked strategy. AI now handles redlining and extraction, freeing lawyers for deep problem solving.
Analyzing vast legal data bottlenecked client work. Now lawyers use AI to accelerate analysis, with every output reviewed for quality.
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.
Legal teams manually reviewed inconsistent guidelines. AI now extracts clauses and summarizes obligations for rapid compliance checks.
An international law firm managing over 1,100 outside counsel guidelines totaling approximately 40,000 pages of complex compliance requirements.
Guidelines ranged from single-page letters to 210-page documents with multiple appendices, making manual review labor-intensive and error-prone. The...
“Kira Quick Study has enabled us to get a much better handle on the obligations that we’re assuming for our clients. The value of this is that we can quickly assess whether a particular set of OCGs poses risks to the enterprise and how we should respond to clients.”
International law firm providing sector-focused legal and business solutions.
Legal technology for document drafting, review, and collaboration.
Gowling WLG's Legal document review is part of this use case:
Related implementations across industries and use cases
Manual review bottlenecked strategy. AI now handles redlining and extraction, freeing lawyers for deep problem solving.
Analyzing vast legal data bottlenecked client work. Now lawyers use AI to accelerate analysis, with every output reviewed for quality.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Manual review bottlenecked strategy. AI now handles redlining and extraction, freeing lawyers for deep problem solving.
Analyzing vast legal data bottlenecked client work. Now lawyers use AI to accelerate analysis, with every output reviewed for quality.
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.