As legal technology has evolved from linear review to TAR to CAL to Generative AI, we've seen many other key developments. Here's a look back at the changes our legal industry has seen as we fully enter the age of AI. Click here to view our infographic, "The Evolution of Predictive Coding in eDiscovery". 

Technology-assisted review (TAR) has more than a decade under its belt, so while it’s not cutting-edge in today's AI-driven legal landscape, its impact on eDiscovery is undeniable. TAR paved the way for the more advanced solutions we see today and understanding this journey informs us how eDiscovery evolved along with it.

Dear reader,

Artificial Intelligence (AI) has been the shiny object in the legal space for the past 12 months. 

Software providers have released products that assist with legal research, draft briefs, analyze contracts, and make coding and privilege decisions during document review. Stats fly around saying 40% of an attorney's role will be replaced by Generative AI.

Litigators and eDiscovery practitioners often face a common document review challenge when preparing for litigation – too many documents (and too little time to get through them). Linear review, that is, reviewing every document individually, is the most appropriate option in certain situations, but can often be complemented by predictive coding. This is a defensible way to create massive time and cost savings, preserving budget for merits counsel, not for eDiscovery and document review partners

Generative AI is a rapidly evolving field with the potential to revolutionize many industries, including law. While the full impact of generative AI on employment law is still unknown, there are a number of potential implications for both employers and employees.