[Verse 1] When the lawsuit starts to grow There's a path that you should know Pleadings first to state your case Then discovery takes its place Motions filed to win or stall Pre-trial prep before it all Trial time to make your stand Appeal if things don't go as planned [Chorus] EDRM flows from start to end Identify, preserve, defend Collect and process what you find Review with AI peace of mind Analyze and then produce Legal tech will set you loose Seven steps to litigation Built for scale and automation [Verse 2] E-discovery costs the most Document review is no small boast Tens of thousands, maybe more Scattered files from every door TAR and coding helped before But AI-native opens doors Predictive power at your side Makes the document mountain slide [Chorus] EDRM flows from start to end Identify, preserve, defend Collect and process what you find Review with AI peace of mind Analyze and then produce Legal tech will set you loose Seven steps to litigation Built for scale and automation [Bridge] IRAC structure guides your way Issue, Rule, then you say Application of the facts Conclusion seals your legal acts Bluebook citations must be right Court requirements day and night Custodians and parties too Years of timeline coming through [Verse 3] Sedona Principles light the road Best practices to decode CourtListener shows you how Real opinions teach you now Case management gets complex Multiple parties, what comes next But with systems in your hand You can make the chaos planned [Chorus] EDRM flows from start to end Identify, preserve, defend Collect and process what you find Review with AI peace of mind Analyze and then produce Legal tech will set you loose Seven steps to litigation Built for scale and automation [Outro] From pleadings through appeal Litigation workflows are real Learn the phases, know the cost Without good tech, cases are lost
← AI-Native Systems Architecture (Vertical SaaS for Legal) | Legal Tech Market Landscape & Go-to-Market →