Sentences with phrase «fee data»

This type of highly specific fee data can be helpful to a solicitor who is unsure of the average market rate for a given area of expertise.

... Valeo Partners, whose new Exogis service converts hourly rate billings to alternative fee arrangements by combining a firm's internal billing data with the company's vast database of fee data from competitors, and then factors in the firm's business strategy to produce a handful of AFA options.

After compiling expert witness fee data from more than 35,000 cases, we discovered that the average rate for initial case reviews for all expert witnesses is $ 356 / hour, the average rate for deposition appearances is $ 448 / hour, and the average rate for trial testimony is $ 478 / hour.

Where available, we obtained annual fee data directly from American Express» website.

Many new funds lack expense information until the subsequent year after they first appear in the data, which explains the sawtooth pattern of the percentage of funds without fee data.

Create a legal invoice seamlessly from time and fee data aggregated within your MyCase account.

External sources for litigation fee data might include cases in which fees were sought through fee - shifting and litigated disputes between clients and their lawyers over fees.

Required publicly available filings, most notably the Form 5500, provide only snippets of fee data.

Where annual fee data was not present, such as China and Korea, we relied on secondary sources to obtain the annual fees.

To address this, solicitors who subscribe to the UK Register of Expert Witnesses Premium Service can access very specific fee data that is calculated in real time for individual areas of expertise.

«Meaningful 401 (k) fee data is hard to come by and that's a big problem for small businesses,» says Employee Fiduciary President and CEO Eric Droblyen.

Required publicly available filings — most notably the Form 5500 — provide only snippets of fee data.

ClosingCorp median fees are derived by running preconfigured loan scenarios against the verified rates and fees data it maintains for service providers and tax authorities with coverage in every county nationwide.

Fee data can be analyzed by traditional statistical methods, including means, standard deviations, and regression analyses.

For example, fee data can be extracted to improve budgeting and settlement calculus.