April 11th marks the anniversary of the enactment of the Civil Rights Act of 1968, also known as the Federal Fair Housing Act (FHA). Since its enactment and through its amendments, the FHA has expressly...
In a recent webcast on the Lex Machina 2026 Employment Litigation Report, product experts and leading practitioners convened to discuss what the data shows in recent federal labor and employment disputes...
With the Lex Machina® API, litigation analytics can show up inside the systems legal teams already run every day. The API delivers structured, machine-readable data from Lex Machina, the LexisNexis®...
Available now, the Lex Machina® 2026 Employment Litigation Report delivers a comprehensive analysis of federal labor and employment litigation trends from 2016 through 2025. Drawing on more than a...
Lex Machina ®, the LexisNexis® Legal Analytics® platform, delivers comprehensive data and exclusive insights for hundreds of thousands of civil appeals to the federal circuit courts. For each...
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Lex Machina is proud to release its 2024 Patent Litigation Report, which provides insights into patent litigation trends in federal district court and appellate court over the three-year period from 2021 to 2023. This report surveys emerging trends in case filings (including federal appellate cases), most active venues, judges, law firms, attorneys, parties, timing metrics, case resolutions, findings, and damages. The report often focuses on different sets of data, e.g., filtering cases in order to provide analytics on general patent, high-volume plaintiff, ANDA, PTAB, and federal appellate cases.
Key Trends and Highlights from the report include:
Highlights in federal district and appellate courts
Highlights in PTAB
View our infographic.
Legal Analytics is used for planning, budgeting, and litigation strategy. The metrics in this report can help readers decide who to pursue as clients, whether to file a particular motion, or when to settle (and for how much). This research supplements traditional legal research and anecdotal data in order to gain a competitive edge in litigation.
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