Docket Alarm is thrilled to announce the latest addition to our growing suite of OpenAI-powered endpoints: the Billing Rates Extractor. This game-changing tool enables users to quickly and easily access the hourly rates charged by attorneys, empowering legal professionals to make informed decisions and stay ahead of the competition.

The Billing Rates Extractor leverages the power of OpenAI's advanced language processing capabilities to extract attorney hourly rates from Docket Alarm's vast database. By simply providing key details about an attorney, such as their name, firm, and location, users can now uncover valuable insights into billing practices.

How it works:

1. Input attorney information: Provide the name and any additional information you would like such as firm, and location of the attorney you wish to research.

2. Intelligent data extraction: The Billing Rates Extractor utilizes OpenAI's cutting-edge models to scan through relevant documents and identify the attorney's hourly rate.

3. Structured results: The endpoint returns the attorney's hourly rate in a structured format, along with a citation to the source document for easy reference.

The Billing Rates Extractor offers numerous benefits for legal professionals, including:

• Opposing counsel insights: Gain a better understanding of opposing counsel's rates to assess the level of risk and potential for high-stakes litigation, particularly for large corporations and insurance companies seeking to avoid nuclear verdicts.
• Competitive benchmarking: Compare your firm's rates against those of comparable firms to ensure you remain competitive in the market and make data-driven pricing decisions.

As with all of Docket Alarm's OpenAI-powered endpoints, the Billing Rates Extractor is designed to integrate seamlessly with your existing workflows. Developers can easily incorporate this functionality into their applications using Docket Alarm's API.

We invite you to explore the possibilities of the Billing Rates Extractor and experience firsthand how it can revolutionize your research and decision-making processes. For more information on this exciting new endpoint, please refer to Docket Alarm's API Specification.

Stay tuned for more updates as we continue to expand our suite of OpenAI-powered tools, designed to empower legal professionals with the insights they need to succeed in today's fast-paced legal landscape.

Docket Alarm is proud to present our latest tools powered by artificial intelligence -the Complaint Summarizer and Cause of Action Extractor endpoints for the Docket Alarm API. These tools allow users to quickly and easily answer two of the most important questions present in any lawsuit - what are the facts alleged in the complaint, and what laws are alleged to have been broken?

With these endpoints, users can instantly understand what a case is about, and what types of claims are at stake. Using the API, dozens of cases can be analyzed in this way at once. Summarize every case in your firm’s document management system and add the results as a field, or use the Cause of Action results to find other cases filed under the same law. 

Here’s how it works: 

1. Input case information: Provide the docket number and the court name - that’s all that’s needed.

2. Intelligent data extraction: The Complaint Summarizer and Cause of Action Extractor use OpenAI's cutting-edge models to scan through the case and find the most recent complaint. 

3. Structured results: The Complaint Summarizer will return a textual summary of the document, whereas the Cause of Action Extractor outputs a structured list of the different claims in the case. 

As with all of Docket Alarm's OpenAI-powered endpoints, these two new tools are designed to integrate seamlessly with your existing workflows. Developers can easily incorporate the new functionalities into their applications using Docket Alarm's API.

We invite you to explore the possibilities of the Complaint Summarizer Cause of Action Extractor and experience firsthand how it can revolutionize your research and decision-making processes. For more information on this exciting new endpoint, please refer to Docket Alarm's API Specification.

Stay tuned for more updates as we continue to expand our suite of OpenAI-powered tools, designed to empower legal professionals with the insights they need to succeed in today's fast-paced legal landscape.

Crafting precise search queries can be a time-consuming and delicate process, even for the most sophisticated of legal researchers. The beta launch of Docket Alarm’s new Smart Search endpoint seeks to streamline this process while optimizing the accessibility of even the most granular litigation data.

The Smart Search tool converts plain language instructions into robust queries, perfectly tailored to Docket Alarm’s search algorithm. Simply send your request to /smart_search/ along with your login token, OpenAI API key, and a set of instructions detailing what you need to find. The endpoint will then generate an optimized query to target that specific criteria.

For example, let's say you need to locate all documents involving Ford Motor Company (but not Ford Motor Credit) that may contain judgment amounts, fees, and span from June 2014 to December 2019. Just include those instructions, and Smart Search will dynamically build a Docket Alam-specific query such as:

party:(Ford AND "Motor Company" NOT "Motor Credit") documenttitle:(judgment OR judgement OR "damages awarded" OR fee OR fees OR "amount due" OR "awarded amount") from:6/1/2014 to:12/31/2019 is:document

Smart Search has demonstrated great improvements to search efficiency and accessibility throughout our team’s internal testing. Should you explore the beta for yourself, we look forward to hearing about how Smart Search improves your organization’s litigation data research.