Matter data scattered across spreadsheets and abandoned systems. GenAI now drafts 8,000 narratives; attorneys only review.
A national labor and employment law firm with 889+ attorneys across major US cities, where past matter outcomes, settlements, and statutory expertise are the primary currency for competitive pitches and attorney research.
A legacy matter system dating from the early 1990s had been effectively abandoned, with matter data scattered across personal spreadsheets and...
“You've got to work with the prevailing forces in play. You're not going to come and say, everybody, we're going to change this. You got to show the benefits of what you can provide to begin to change behavior.”
Employment and labor law firm representing employers nationwide.
Assisted Jackson Lewis with data management and implementing Litera Foundation
Legal technology for document drafting, review, and collaboration.
Jackson Lewis's Legal case summaries 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.
Manually reviewing 30,000 files threatened a tight 3-week deadline. AI now drafts custom privilege logs for attorneys to quickly refine.
Lawyers piecing together scattered sources now use AI to draft complex briefs, turning research drudgery into strategic advice.
SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
Manual documentation bogged down 2.5M repairs. GenAI now summarizes history, helping new techs apply decades of expert knowledge instantly.
Ambiguous job descriptions forced reviewers into long email loops. Now, AI drafts targeted follow-up checklists so experts decide faster.
Expense testing and reconciliations ate into audit hours; most AI couldn't trace to source. Agents now handle both inside Excel.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
Matter data scattered across spreadsheets and abandoned systems. GenAI now drafts 8,000 narratives; attorneys only review.
A national labor and employment law firm with 889+ attorneys across major US cities, where past matter outcomes, settlements, and statutory expertise are the primary currency for competitive pitches and attorney research.
A legacy matter system dating from the early 1990s had been effectively abandoned, with matter data scattered across personal spreadsheets and...
“You've got to work with the prevailing forces in play. You're not going to come and say, everybody, we're going to change this. You got to show the benefits of what you can provide to begin to change behavior.”
Employment and labor law firm representing employers nationwide.
Assisted Jackson Lewis with data management and implementing Litera Foundation
Legal technology for document drafting, review, and collaboration.
Jackson Lewis's Legal case summaries 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.
Manually reviewing 30,000 files threatened a tight 3-week deadline. AI now drafts custom privilege logs for attorneys to quickly refine.
Lawyers piecing together scattered sources now use AI to draft complex briefs, turning research drudgery into strategic advice.
SOWs required manually merging data from four systems. Gemini agents now synthesize drafts, cutting manual work by up to 75%.
Manual documentation bogged down 2.5M repairs. GenAI now summarizes history, helping new techs apply decades of expert knowledge instantly.
Ambiguous job descriptions forced reviewers into long email loops. Now, AI drafts targeted follow-up checklists so experts decide faster.
Expense testing and reconciliations ate into audit hours; most AI couldn't trace to source. Agents now handle both inside Excel.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.