Latest from the Blog
Insights, updates, and legal tech trends from the Precedent team.
The Lobster That Lives in Your Terminal
Why an open-source AI assistant running on a Mac Mini might matter more than the next GPT wrapper.
How We Built a Credible ROI Calculator (Without the BS)
Most ROI calculators are trust-destroying snake oil. Here's how we built one that prospects actually believe, using real customer data and conservative assumptions.
An AI Assistant That Handles Your Casework Like Clockwork
How PI firms use AI assistants to generate timelines, assess injuries, calculate damages, and highlight case strengths—while attorneys focus on strategy.
AI That Works for Anyone, No Prompting Expertise Needed
Built-in tools deliver timelines, chronologies, case analysis, and missing document detection—without requiring prompt engineering skills.
How AI Navigates the High-Stakes Nuance of Litigation
AI helps litigators draft interrogatories, prep depositions, audit discovery, and sharpen arguments—while human judgment remains central to strategy.
Integrating AI Into Your PI Practice: A Step-by-Step Guide
A practical playbook for COOs and firm administrators implementing AI. Covers pilot programs, prompt libraries, adoption training, and measuring success.
Why Generic AI Tools Put PI Firms at Risk (And What to Do About It)
ChatGPT and generic AI tools lack HIPAA compliance, cite fake cases, and don't understand PI law. Learn what a secure, PI-ready AI platform looks like.
Case Economics: How AI Manages Bills, Liens, and Settlement Projections
AI transforms bill reconciliation, lien tracking, and settlement modeling from spreadsheet chaos to automated ledgers. See how modern case economics works.
AI vs Manual Demand Letter Drafting: A Time and Quality Comparison
Compare AI-assisted and manual demand letter workflows. Data shows 70-114 hours reduced to under 1 hour, with 3X output increases and higher settlement values.
How AI Medical Chronologies Save 10+ Hours Per Case
AI medical chronologies reduce case preparation from 40-80 hours to under 3 hours. Learn how the technology works and what to look for in a solution.
The True Cost of Treatment Gaps: How They Reduce PI Case Value
Learn why treatment gaps reduce settlement value by 30-60% and how to address them. Includes common gap reasons, documentation strategies, and prevention tactics.
Understanding Pain and Suffering Damages: Calculation Methods for PI Cases
Learn how to calculate pain and suffering damages using multiplier, per diem, and hybrid methods. Includes factors that increase awards and documentation strategies.
Medical Chronologies Explained: What PI Attorneys Need to Know
Learn what medical chronologies contain, why they matter for case value, and how to create them efficiently. Complete guide for personal injury attorneys.
How to Write a Winning Demand Letter: A Complete Guide
Learn the 6 essential components of demand letters that achieve policy limits. Includes liability frameworks, damages calculations, and documentation best practices.
Why Including ICD-10 Codes in Your Demand Letters Matters
Speaking the insurer's language with ICD-10 codes eliminates guesswork, speeds up reviews, and strengthens your negotiating power.
Automate Demand Letter Creation with AI: Save Time and Effort
The process has become easier and more efficient thanks to advancements in AI technology.
How AI Is Reshaping Personal Injury Law
Insights from Precedent's New Webinar Series on AI adoption in personal injury law.
How to Use Large Language Models in Legal Work
Without Ending Up in the Headlines. A guide to avoiding AI hallucinations in legal practice.
Archiving Demands in Precedent: What It Means and When to Use It
Managing your demands inventory effectively ensures efficiency, accuracy, and better results for your firm.
Comparing the Best AI Demand Letter Solutions for Personal Injury Law Firms: Precedent vs. EvUp
A comprehensive comparison of AI-powered demand letter platforms for personal injury law firms, examining Precedent and EvUp across features, pricing, speed, and client feedback.