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Technology
2025 Trend Watch: AI Becomes a Competitive Advantage in Legal Services
In 2025 adopting artificial intelligence (AI) is no longer a choice but a strategic imperative for legal, insurance, and corporate leaders.
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Articles
Court Reporting
How to Find a Court Reporter: Choosing the Right Provider
Find a court reporter with the right provider—ensure accuracy, security, and efficiency with expert services, real-time transcription, and remote depositions.
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Articles
Court Reporting
The Deposition Process Explained: A Legal Team’s Guide
Learn what legal professionals need to know about the deposition process, from scheduling and questioning to transcript review and post-depo strategy.
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Case Studies
Legal Talent Outsourcing
Law Firm Unable to Handle Continuous Document Loads Turns to Lexitas
With Lexitas’s help, the document count to review was reduced from 120,000 docs to 23,000 docs and the client was provided a team to get through the materials quickly and at a cheaper cost than the client’s staff.
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Case Studies
Legal Talent Outsourcing
Document Review for State Attorney General’s Office Provides Estimated Cost Savings of $221,667
The client needed us to review 80,000 documents using the new platform’s Continuous Active Learning (CAL) TAR model.
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Case Studies
Legal Talent Outsourcing
AM Law 100 Firm Needed 376,000 Documents to Review in Real Estate Matter
A Senior Attorney at an Am Law 100 firm needed a team to review 376,000 documents in a real estate development matter.
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Case Studies
Legal Talent Outsourcing
The Deputy Chair of an Am Law 100 firm needed 8 contract attorneys to handle work related to IPOs, secondaries, shelf takedowns, & SPAC
This project required Lexitas to find candidates with sophisticated large-firm backgrounds in a niche area who were also available for a temporary assignment.
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Case Studies
Legal Talent Outsourcing
Large, multinational corporation sees significant cost savings by working with Lexitas to review agreements for M&A project
Client reached out to Lexitas in need of a team of attorneys to review, and extract data from various agreement types for a M&A project.
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