Docket Alarm Unveils OpenAI-Powered API Endpoints

Docket Alarm's latest update streamlines workflows and enhances decision-making by introducing the power of OpenAI’s models to our API. Beta access is now live for our first two OpenAI endpoints, Judgment Extraction and Ask a Docket. 

Judgment Extraction:
This endpoint returns judgment information from any case in Docket Alarm’s library. Simply enter a docket number and corresponding court name. When judgment data is located, the Judgment Extraction endpoint retrieves verdict data, including:
  • Judgment Winner
  • Winner Type
  • Judgment Interest
  • Attorney’s Fees
  • Judgment Costs
  • Total Judgment Amount
  • Judgment Type
Ask a Docket: 
This endpoint harnesses language processing to extract structured values from Docket Alarm's database. Enter a docket number and court name, then pose questions about a docket and specify an answer format. Ask a Docket returns detailed answers in a matching format, paired with a citation to relevant docket data. At scale, the endpoint provides an excellent method for streamlining mass data research and entry. An example is as follows:
  • Question: "Is this case pre or post discovery?"
  • Answer: “Discovery is not complete in this case.”
  • Relevant Docket Data:
  • "date": "3/15/2024", 
  • "contents": ". . . Fact discovery to be completed by 5/1/2024. . ."
Docket Alarm’s API continues to empower users with the tools needed to accelerate decision-making, enhance efficiency, and drive better outcomes. Read more about these endpoints in Docket Alarm’s API Specification and be certain to check back for more exciting updates.

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Docket Alarm is an advanced search and litigation tracking service for the Patent Trial and Appeals Board (PTAB), the International Trade Commission (ITC), Bankruptcy Courts, and Federal Courts across the United States. Docket Alarm searches and tracks millions of dockets and documents for thousands of users.

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