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
On the
docket is support for a new types of detectors assembled
from may separate, planar segments for recording FEL (free electron laser)
data at the Linac Coherent Light Source at Stanford.
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.
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.
At some point in the future, Lex Machina will also expand into applying its analytics to
data from state court
dockets.
Additional federal practice areas will come in 2017, after which Lex Machina will turn its attention to adding
data from state
dockets.
Published cases are the crests of the waves;
data from dockets, motions, briefs, transcripts, and other records are the nutrient - rich seas beneath.
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.
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.
Virtually all case metadata — case citation, date,
docket, on appeal
from, judges, parties, cases cited, and so on — can be captured directly
from the Word file if the
data elements are marked with distinct MS - Word styles according to a per - defined template (see here for example — http://scc-csc.lexum.com/scc-csc/scc-csc/en/item/14302/index.do)
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.
And use a variety of natural language processing and machine learning tools to make sense of all of the
data from PACER, which by the way is literally just a bunch of raw PDFs and
docket information that's typed in
from the clerks.
Recent
data from Docket Navigator analyzed all challenges under 35 USC § 101 so far this year: