"As anyone who’s ever seen a courtroom drama knows, legal arguments can be won or lost over the tiniest of details. But while books and movies often portray these details as emerging out of serendipity or sudden epiphany, reality is far less glamorous.
To find the “smoking gun” that will swing a court decision in their favor, law firms typically crowd lawyers by the dozen into big rooms and task them with poring over thousands upon thousands of documents. Between the distractions that come along with working in a crowded room and the monotony of reviewing documents for weeks on end, this process can be absolutely terrible for productivity.
Esquify, a Chicago-based tech company that came out of stealth mode in October, is looking to bring the most expensive and time-consuming part of litigation into the 21st century.
By utilizing machine learning algorithms to supervise lawyers who review documents from their home- or remote offices, the company helps litigators save money by increasing productivity and cutting down on overhead costs. Esquify’s software automatically tracks when lawyers are actually working on the case, ensuring that each billable hour is at least 90 percent efficient.
Reviewing lawyers are rated for both efficiency and quality of work. Reviewers who do well are rewarded with more work and increased hourly rates...
...After 18 months of building the company in secret, they launched in October last year and have been doubling the company’s customer base month-over-month since then. Just this month, the 14 member team expects to add another four employees.
With a recent $500,000 angel round of funding, the company has a big pipeline and plans to expand aggressively. And thanks to the popularity of the service among reviewers — thus far 100 percent of reviewers have taken on a second case — the founders are hoping to continue growing its reviewer community organically.
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