Firms can record all important events associated with their cases, and they can subscribe to
court docket data.
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 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.
It takes
data from the federal
courts» PACER system —
dockets,
court filings, orders — and lets users extract information, patterns and trends that would otherwise be invisible.
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.
These include treatises, specialized legal - research products 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.
At some point in the future, Lex Machina will also expand into applying its analytics to
data from state
court dockets.
In addition to
court cases, it may also add
docket data, for example, or other kinds of
data its customers are interested in.
The
data set, available at this website, includes information on, among others, date, the target Member State, the legal domain or subject matter (e.g., competition, environmental protection, free movement of goods), and the official
docket number given to the case by the European
Court of Justice.
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).
While the Lex Machina
data is based on existing
data from PACER, the federal
court system's official electronic filing database, Lex Machina has performed a significant amount of error correction and tagging on top of PACER's
docket reports.
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.
Recently, it has extended the range of
data it is mining to include
court dockets, enabling new forms insight and prediction.
Performance Profile: Top - performing
Court Clerk with hands - on experience in typing, proofreading and distributing opinions and orders providing advice on laws and judicial procedures, recording information in shorthand or peed writing and transcribing
data onto
docket sheets.