The platform will include legal data from Fastcase as well
as docket data from leading docket analytics provider Docket Alarm, which was acquired by Fastcase in January 2018.
The platform will include legal data from Fastcase as well
as docket data from Docket Alarm, which Fastcase acquired in January.
Not exact matches
As I reported here when it launched last September, Gavelytics uses artificial intelligence to extract data from court dockets and applies analytics to reveal insights about judges, such as how they might rule on particular matters and in what timefram
As I reported here when it launched last September, Gavelytics uses artificial intelligence to extract
data from court
dockets and applies analytics to reveal insights about judges, such
as how they might rule on particular matters and in what timefram
as how they might rule on particular matters and in what timeframe.
Two years ago, I wrote a post titled, In Litigation and Legal Research, Judge Analytics is the New Black, in which I discussed three products — Lex Machina, Ravel Law and ALM Judicial Perspectives — that were extracting
data from court
dockets and applying analytics to reveal insights about judges, such
as how they might rule on a specific type of motion or how long they might take to issue a decision.
What they have that others do not are significant databases of secondary legal - research materials such
as treatises, specialized legal - research materials in particular areas of concentration, and ever - growing collections of public - records
data, court and deposition transcripts,
docket information, and all sorts of other information that remains largely unavailable or inaccessible elsewhere online.
Like those other modules, the new products liability module uses
data derived from court
dockets to provide insights and show trends in areas such
as case timing, resolutions, findings, and damages for injuries caused by product defects.
As the federal PACER system is upgraded and more and more states put some or all
dockets in electronic form, more litigation
data will become available to analytics vendors.
Their
Docket Report extracts
data from government sources such as Public Access to Court Electronic Records (PACER), U.S. Patent and Trademark Office databases, and Electronic Data Information Source (ED
data from government sources such
as Public Access to Court Electronic Records (PACER), U.S. Patent and Trademark Office databases, and Electronic
Data Information Source (ED
Data Information Source (EDIS).
Very few studies have made use of new electronic resources such
as Lex Machina, which provides full case
dockets and other relevant
data for intellectual property law cases.
Each law firm is distinctive and can choose to upload
data to the secure AI Sandbox platform exclusively with firm insights, or collaborate, compare, and combine with other
data sets, such
as data derived from the Fastcase's leading collection of judicial opinions, statutes, or regulations, or structured metadata such
as citation relationships or
docket metadata from Docket
docket metadata from
Docket Docket Alarm.
«Whether providing the information for
data - driven decisions by the legislature or clearing old
dockets, IT and high tech is now critical to the judiciary's role and interaction with the bar
as well
as our citizens.»
Legal analytics involves mining
data contained in case documents and
docket entries, and then aggregating that
data to provide previously unknowable insights into the behavior of the individuals (judges and lawyers), organizations (parties, courts, law firms), and the subjects of lawsuits (such
as patents) that populate the litigation ecosystem.
Legal analytics relies on advanced technologies, such
as machine learning and natural language processing, to clean up, structure, and analyze raw
data from millions of case
dockets and documents.
Since LexisNexis owns InterAction, the leading «contact management» product which is used in many law firms — it is puzzling why some effort was not made to integrate Martindale with InterAction and other LN sources containing rich actionable client
data such
as Courtlink
dockets.
The ideal candidate must have extensive experience with support duties such
as answering telephones, inputting
data, filing, copying, scanning and
docketing paper claims received in...