Another Best First Job

As first jobs go, Sell Side Research Analyst is tough to beat. That’s what Sallie Krawcheck says (former CEO of Sanford & Bernstein, Smith Barney, Citi Wealth Management, and President at B of A Wealth Management), so it must be true. I think her advice is valid for anyone still shaping his or her career and climbing the corporate ladder. She argues that being a Sell Side Research Analyst teaches you to be smart. Specifically, she says that the role forces you to analyze imperfect data, write, present, and be able to interact with smart people. A job that teaches you to be smart is one that allows you to differentiate yourself. In her article, Sallie also points out that "as a junior member of a large team, the drivers of success can get pretty muddy." Long-time startup advisor and investor Paul Graham of Y Combinator echoes her point in his own writing stating ...

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Peer Review Benchmark Demo

High quality bill reviews help insurers keep legal spend low. But measuring and comparing bill reviewers seems like an impossible task when they review different invoices, on different claims, from different law firms. We created the Peer Review Benchmark to give insurers an apples-to-apples comparison of bill reviewer performance. Check out our demo

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Creating Effective BI Teams

SoftwareAdvice.com recently laid out a four-point framework for an IT team to create an effective BI team in a blog post by Michael Koploy. An in-depth read of their post reveals that his main point is that an IT team can only create an effective BI team by working closely with their business counterparts. In fact, their four points could be rewritten as 1) Lead with the business, 2) Work with the business, 3) Delegate to the business, and 4) Guide the business. Their 4 steps (and my translation) are: Establish structure with governance (Lead with the business) Match technical resources to domain experts (Work with the business) Empower business users to own data management (Delegate to the business) Find new holes for BI pegs (Guide the business) Lead with the Business Their post rightly points out that "structure is necessary... to accomplish BI objectives." In my own post, I proposed a Knowledge Framework to help create a shared definition of goals and requirements ...

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CLVR Claim Viewer Demo

In 2011, we released the CLVR Claim Viewer to help make sense of all those 6-minute increments. Since the first release, we have also incorporated budget data, reserve data, and legal file data into the visualization to bring all claim activity data together in one place. CLVR Claim Viewer is the easiest way to see the big picture buried under all those hours, events, and legal files. Check out our demo:

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CLVR Maps Demo

If you want your users to understand the big picture behind the data, give them a map. CLVR Maps was originally released in 2011 as a plug-in compatible with the Oracle BI reporting suite. It is now offered both as a stand-alone dashboard and is compatible with Business Objects, Cognos, Oracle BI, and any other business intelligence suite with a web front-end. Check out our demo here:

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Making Sense of Six Minute Increments

I'm pretty sure lawyers hate living their day divided into 6-minute increments. I know for a fact trying to make of a legal bill where tasks are divided into 6-minute increments is a painful process. Forget seeing the forest for the trees. Dividing a a multi-year claim into 6-minute increments means you can't see the forest for the leaves. There's no way to see the big picture and understand what is actually happening. To find the big picture and make sense of fine-grain legal billing data, we created the CLVR Claim Viewer. The CLVR Claim Viewer is the easiest way to see the big picture buried under all those hours, events, and legal files.

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Paper Invoice Conversion

CLVR Paper Conversion is the lower-cost, highest-accuracy paper invoice conversion product available. In 2012, Edge Solutions released CLVR Paper Conversion to help insurers and corporate legal departments convert paper invoices into electronic data. CLVR Paper Conversion is compatible with all major third-party eBillers. Data can be delivered in any format required including CSV, XML, and the LEDES XML data format. Check out our demo.

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CLVR Paper Conversion Demo

We know that paper invoices are just about useless when it comes to measuring law firm performance. Stacks of paper don't tell us anything. We need data, not dead trees. In 2012, we released CLVR Paper Conversion to convert paper invoices into useable data. CLVR Paper Conversion is the lowest-cost, highest-accuracy invoice conversion product available. Check out a demo of our application. In the demo, we'll convert 5 paper invoices to electronic data.

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Automated Legal Bill Review Demo

Early in 2012, we released CLVR Bill Review, our automated legal bill review application to help insurers and corporate legal departments save money on their outside counsel legal fees. Technology Assisted Review of legal bills helps reduce legal costs by identifying all legal billing guideline violations. Automated Legal Bill Review Screen Cast

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Challenging Prevailing Party Legal Fees

Inflated and excessive bills submitted as part of a settlement have become an expected (and sometimes accepted) form of fraud. Despite legal precedent, some less-than-ethical firms continue to submit inflated and excessive legal bills knowing that a company may simply pay those inflated charges for the same reason they chose to settle the original claim: sometimes its cheaper to pay than to fight. We change that paradigm by making it very inexpensive to fight excessive and fraudulent legal bills. The courts have specifically called out excessive legal bills. In Ketchum v. Moses (Ketchum v. Moses (2001), 24 Cal.4th at pp. 1131-1132), the courts declared that reasonable compensation does not include compensation for "'padding' in the form of inefficient or duplicative efforts." The LedesData CLVR Suite helps identify and fight excessive legal billing. Some firms will actually deploy their paper bills as a weapon to engulf a company under a mountain of documentation. Rather than sort ...

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