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In-House Legal Data Analytics (part 3) - When
There are two important timing elements for Legal Departments: turnaround time and working time. Read our blog to learn more.
Legal Data Analytics Fundamentals, Part 3: The When. We recognize that the phrase “legal data analytics” can be intimidating for Legal Departments, and we understand. In this four-part series, we will cover the basics of legal data analytics for in-house teams. The fundamentals of legal data analytics are universal, and data collection can be simple and relatively painless. We promise.
“The when.” There are two key timing elements for Legal Departments: turnaround time and working time.
To be sure, sluggishness can be a pain point; this is clear in a 2018 survey by Acritas, which asked outside counsel how Legal Departments could improve. Twenty-five percent of respondents said their in-house clients failed to respond quickly to inquiries; 42 percent said their clients failed to set realistic timelines.
More relevant than outside counsel satisfaction, however, is the Legal Department’s perception among business clients. In the GC350, a “benchmarking study for the in-house community,” 27 percent of legal teams reported seeking formal feedback from business clients. Of those, 70 percent sought direct input on their speed of response.
Where (or who) is the bottleneck?
Legal department intelligence can answer the key question “How long with legal?” by tracking a matter through its life span and charting where it’s sitting – whether that’s with the Legal Department or an outside firm for execution, with the ‘other side’ for response, the business unit for information or instruction, or with the C-suite for authorization.
Indeed, it may appear that a project takes the Legal Department six weeks to finalize… when five of those weeks were spent waiting on a response from the assigning business unit. No in-house team wants to appear incompetent or slow. This information can rebut that perception – while also providing means to improve the process. Consider a comprehensive set of matters: Where are the recurring holdups, and how can we expedite or eliminate them? Are there self-help tools or policy changes that would help?
Don’t underestimate the business importance of addressing turnaround time. If legal operations software can empower a Legal Department to cut the time needed to approve a major contract from six weeks to four weeks, the company could close nearly 40 percent more deals and/or dramatically improve its cashflow.
How long will that take?
We acknowledge two truths: The time spent working on a matter is not necessarily a reflection of its value, and most in-house lawyers aren’t eager to go back to firm-style timesheets. We certainly won’t encourage you on a futile crusade on the latter. However, knowing how long a project will take, even in the most basic terms – days or weeks – will inform your resourcing, staffing and promises.
With or without a time-tracking system, a smart practice management system for in-house legal teams will show basic time requirements for matters and matter types. This does not need to be broken out by minutes, but will it be completed in weeks, months quarters or years?
Pair this with the matter’s strategic value, and you are positioned to make better resourcing decisions. Perhaps there’s a project that will take a hefty investment of time, but it’s of low importance to the business; consider outsourcing to a lower-priced firm or legal vendor. Frequent batches of quick, significant projects could prompt the hiring of an internal specialist.
As you’re getting started in legal operations, make sure you are collecting your “when” data accurately and consistently. Xakia’s legal matter management software for in-house teams allow users to log this automatically – and create actionable and visual reports instantly. Schedule a demo to learn how to track your “when” – and how to get time back on your side.
Want to learn more about smart resourcing?
Download our legal resourcing quadrant fact sheet to see work types and resourcing plotted on a quadrant for highest impact.