Legal data is the collection of data and metadata about legal matters. This includes information on cases, judges, jurisdictions, and industries. The ability to process and analyze massive amounts of data as close to instantaneously as possible has profound implications for the profession.
This data is publicly available, though it is also often difficult to access, with most legal data published in law books. However, some jurisdictions have begun to publish legal cases digitally. Additionally, volunteers have digitized historical legal data for public access, such as the Caselaw Access Project.
Additional legal data may include interviews with lawyers and judges.
Common attributes of legal data range from the case name, docket number, court and decision date, decision, and jurisdiction. However, the core data is the actual text of the cases themselves.
Furthermore, there is obvious overlap with industry-specific data. For example, a firm specializing in malpractice suits needs access to healthcare and EMS/EHS data while a firm representing a mining company needs access to mining, minerals, and environmental data.
Generally, it is lawyers, paralegals, clerks, and other professionals who use this data as references. The development of translation, image search, speech-to-text, and other features assist them in this.
However, emerging artificial intelligence programs enable legal professionals to use data in other ways. For example, AI programs can analyze judges’ decisions and predict their rulings, suggesting approaches arguments that lawyers may find successful.
These AI programs can also enable law firms to conduct competitor and market analysis by comparing their successes against others in the same field or area.
There is little quality control to do for legal data; human beings have reviewed the cases countless times before publication. It is generally only in the digitization or database creation process that mistakes appear.
For public, open-source databases, mistakes are easily remedied due in part to the volume of database users worldwide. You should, however, check other databases to make sure they’ve been cleansed properly. Consider the data vendor’s reputation and focus on the completeness, consistence, and relevancy of the data more than update frequency as cases take years to reach any conclusion.
“On the corporate legal team side, we’ve seen groups clean and aggregate data from multiple systems to speed reporting. We’ve seen leaders set up data models and reports that are tailored to specific business units and executive stakeholders for added awareness and transparency. We’ve seen groups use analytics to “sort” or “triage” matters by risk to enhance the sourcing of work. We are seeing some interesting work around reserve setting and using data to more accurately drive those reserves. We’ve seen some pioneers create models to forecast and predict spend and outcome on matters.”
Men are highly likely to consider sex and eating out as the main point of Valentine’s Day. Big surprise :’)
ZIGRAM’s dataset – ‘Anti Money Laundering Penalties’ provides Economic Data, Legal Case Data, Political Data, Environmental Data and that can be used in
Transparent Data’s dataset – ‘PEP API Politicians Data | Global coverage from 8 largest world lists’ provides Company Data, Political Data and Consumer Lifestyle Data that can be used in Supplier Risk and