Legal Parties Data: Best Legal Parties Datasets & Databases

What is Legal Parties Data?

Legal parties data tells users about a given organization or group involved in legal proceedings, whether the party is a law firm, a company in prosecution or defense, or a governmental body overseeing the justice system.

What is Legal Parties Data used for?

Legal analytics

It can be complex to understand how various legal entities relate to and interact with each other. A structured legal parties dataset enables users to group lawyers, clients, law firms, plaintiffs and judges into clustered groups - or ‘parties’. This reduces overhead when it comes to legal research, and means users can form litigation strategies based on clear, insightful analytics.

Due diligence

Legal parties datasets are often used to run background checks on a given company. Primarily, these checks take place before mergers and acquisitions or investment decisions. Investors can cross-check a business portfolio against a legal parties database to ascertain whether there’s any legal information relating to the company worth knowing about. They can then make safer investment decisions by adhering to the necessary legal and compliance regulations. So buying legal parties data makes due diligence processes more cost-effective.

Political investigations & campaigning

It’s important for political groups standing for leadership contests to understand their opponents. Investing in a legal parties dataset can reveal the judicial background of a rival group. If the dataset contains important legal information which isn’t in public knowledge, this can then form the basis for an aggressive counter campaign.

What are the sources of Legal Parties Data?

Legal parties data is generated whenever a number of groups are involved in litigation. Documents relating to the case, filings and legal orders all contain relevant data points. For example, business records, Secretary of State files, and other public filings all contain raw data which a legal parties data provider extracts then normalizes in an external API or dataset.

What are the attributes of Legal Parties Data?

The attributes of a legal parties API or dataset generally relate to the interests and function of the group involved in litigation, as well as the state of their legal affairs. These attributes include:

• Type of organization - is it a private company? A law firm? A branch of government? A political party? An NGO
• Business registration number - if the party in question is a registered business, what’s their ID number?
• Employee/member count
• Representation - which law firm or attorney is representing the party?
• Court position - is the legal party standing as plaintiff or in defense?
• Legal history - what legal proceedings have they been involved in? What’s the nature of the current case?

  Where can I buy Legal Parties Data?

  Data providers and vendors listed on Datarade sell Legal Parties Data products and samples. Popular Legal Parties Data products and datasets available on our platform are Legal (Judicial - Court ) Lawyers List Datasets | Grepsr by Grepsr and UniCourt Party Data API USA - Identify Parties & Companies involved in Litigation by UniCourt.

How can I get Legal Parties Data?

You can get Legal Parties Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Legal Parties Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Legal Parties Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Legal Parties Data?

Legal Parties Data is similar to Intellectual Property Data, Litigation Data, Court Data, Bankruptcy Data, and Patent Data. These data categories are commonly used for Legal Analytics and Legal Intelligence.

What are the most common use cases for Legal Parties Data?

The top use cases for Legal Parties Data are Legal Analytics, Legal Intelligence, and Risk Management.