After my first experience of Legal practice at my Alma Marta’s Law Clinic, I came to the jarring conclusion that there was something terribly wrong with contemporary Legal Practice. Even its very finite features; the feint scent of deteriorating Case Files, the atmosphere laden with evidence of repetitive and tedious human labour, the sheer lethargy of each process, left me panic stricken. It lacked a certain technological and scientific lucidity; it was devoid of a certain agility that I believe is a necessity in any field, not just Law.
To illustrate just how manifestly flawed legal practice can be, I wish to draw attention to a startling paradox that two popular legal sayings highlight: “Justice delayed is justice denied” and “The wheels of justice grind slowly”. On one hand we readily admit that slow and inefficient legal services are a miscarriage of justice, and then on the other we concede, with a concerning ease, that that’s just the way things are, things move slowly.
I also realized is that large-scale and under resourced legal service providers, like Legal Aid offices and Law Clinics were suffering from what I call a “self-inflicted brain drain”. That is to say that any advanced creative thought and ingenuity takes the back-seat when an Attorney has an insurmountable Case Load. Most of their time is spent doing tedious grunt work which is better left to Machines instead of on formulating advanced strategy. Is it any wonder then that there is a perception that these organizations provide inferior legal services to the most vulnerable and indigent people in our society? In an age where technology is advancing so rapidly, it would be almost sacrilegious to leave the legal field untouched by it.
Fuelled by naivety and misplaced indignation, I began looking for answers, I subsequently found those answers in Data Science. When my Data Science journey first began, my workflow was very fragmented, I was using too many Data Science tools and programming languages at the same time. Add to that the fact that I had inadvertently created a piece of Technology which was completely novel and did not exist on any of the Platforms that I was using just made the situation untenable. If all that was not enough, there did not exist a Data Analytics Platform built specifically for Law, which made Legal Data Mining impractical. I was also looking for very finite, granular insights from Legal Data, this necessitated a very advanced system of Quantitative Analysis. The Legal Data had to be inherently receptive to Statistical and Mathematical Analysis for me to even consider any variation of Quantitative Analysis, no matter how simple it was. With all that in mind, I decided to create my own Data Science workflow to solve all the problems I’ve just listed, Lex Quant Summa represents a very simplif