Manual reviews of NDAs and lengthy supply contracts slowed turnarounds. AI now handles first-pass risk flagging and instant summaries.
A global manufacturing enterprise with over 20,000 employees needed to ensure its legal processes could efficiently support strategic expansion into new biotech and clean technology ventures.
The legal team spent excessive time manually reviewing standard non-disclosure agreements and lengthy supply contracts. This routine work delayed...
“By automating the routine yet time-consuming tasks associated with contract generation and negotiation, our legal team is empowered to focus their time on high-value work that will maximize revenue generation and provide business-wide value.”
Global manufacturer of petrochemicals, battery materials, and pharmaceuticals.
AI platform for legal contract intelligence and document analysis.
LG Chem's Contract review is part of this use case:
Related implementations across industries and use cases
Reviewing 2,500 NDAs bottlenecked a small legal team. Now, AI handles first-pass markups and instantly retrieves clauses for lawyers.
Routine contract reviews bottlenecked sales. Now, AI flags risks so business teams can process standard agreements autonomously.
Fragmented knowledge across 30 jurisdictions slowed work. Lawyers now use AI to draft and research, minimizing external counsel scope.
Reviewing 2,500 NDAs bottlenecked a small legal team. Now, AI handles first-pass markups and instantly retrieves clauses for lawyers.
Routine contract reviews bottlenecked sales. Now, AI flags risks so business teams can process standard agreements autonomously.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
A lean legal team spanning three continents sent its hardest work — M&A diligence, disputes — to outside firms. Harvey brought it home.
A full outside firm billed from day one to draft every deal. Three lawyers now deliver 80% in-house; counsel reviews only.
Manual reviews of NDAs and lengthy supply contracts slowed turnarounds. AI now handles first-pass risk flagging and instant summaries.
A global manufacturing enterprise with over 20,000 employees needed to ensure its legal processes could efficiently support strategic expansion into new biotech and clean technology ventures.
The legal team spent excessive time manually reviewing standard non-disclosure agreements and lengthy supply contracts. This routine work delayed...
“By automating the routine yet time-consuming tasks associated with contract generation and negotiation, our legal team is empowered to focus their time on high-value work that will maximize revenue generation and provide business-wide value.”
Global manufacturer of petrochemicals, battery materials, and pharmaceuticals.
AI platform for legal contract intelligence and document analysis.
LG Chem's Contract review is part of this use case:
Related implementations across industries and use cases
Reviewing 2,500 NDAs bottlenecked a small legal team. Now, AI handles first-pass markups and instantly retrieves clauses for lawyers.
Routine contract reviews bottlenecked sales. Now, AI flags risks so business teams can process standard agreements autonomously.
Fragmented knowledge across 30 jurisdictions slowed work. Lawyers now use AI to draft and research, minimizing external counsel scope.
Reviewing 2,500 NDAs bottlenecked a small legal team. Now, AI handles first-pass markups and instantly retrieves clauses for lawyers.
Routine contract reviews bottlenecked sales. Now, AI flags risks so business teams can process standard agreements autonomously.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
A lean legal team spanning three continents sent its hardest work — M&A diligence, disputes — to outside firms. Harvey brought it home.
A full outside firm billed from day one to draft every deal. Three lawyers now deliver 80% in-house; counsel reviews only.