AI for Claims Assessment
Improve Loss Ratio. Reduce turnaround time. Prevent leakage. Detect fraud.
Lawdify autonomously analyses claims, identifies risk, and accelerates resolution, so your team can focus on decisions, not process.
Optimise settlement payout
Reduces Leakage
- Each damage analysed
- Each receipt verified
- Each contradiction picked up
- Each injury assessed
- Each calculation checked
- Each party vetted
Trusted by enterprises worldwide
Measurable Results for Your Organisation
Improve Loss Ratio
Cut indemnity spend by catching overpayments, inflated damages, and coverage gaps before settlement.
Faster Settlement
Use previous settlement data, solicitor benchmarks, and market insights to settle with confidence.
Better Fraud Detection
Flag inconsistencies, duplicate claims, and suspicious patterns across millions of documents in minutes.
Purpose-Built AI for Your Industry
Two specialised platforms, one powerful engine.
Lawdify for Insurance
End-to-end claims assessment automation. From FNOL through settlement, reduce cycle times and prevent leakage with AI agents that analyse coverage, detect fraud, and prepare reasoned settlement recommendations.
Explore InsuranceLawdify for Legal
Dispute resolution intelligence for law firms and in-house teams. Analyse evidence, draft submissions, and manage complex multi-jurisdictional matters with AI that understands contentious work.
Explore LegalAwards & Recognition
Recognised globally for innovation in AI and legal technology.
ABA TechShow Startup Alley 2026
Lawdify was pre-selected first among 15 legal tech startups to present at ABA TechShow Startup Alley in Chicago, celebrating the 10th anniversary of this prestigious showcase.
The Lawyer-Turned-Techpreneur
Through Lawdify, Eliza Jiang is not only transforming legal workflows, but also paving the way for a more inclusive and efficient future in the legal profession.
The Legal Tech Fund (TLTF) Summit Miami 2024
Lawdify was invited by The Legal Tech Fund Summit to present at TLTF Summit Miami 2024, showcasing AI-powered legal technology to global legal tech investors and innovators.
Insights from the Lawdify team
Product thinking, claims research, and field notes from the people building Lawdify.
Before It Goes to Court: How AI Is Helping Motor Insurers Negotiate Better and Avoid Litigation
Litigated motor injury claims cost two to four times more than comparable claims settled directly, once defense fees and indemnity inflation are factored in. AI is now reshaping where carriers intervene — from litigation propensity scoring at FNOL to quantum benchmarking and demand-package triage. Here's how claims teams are using data-driven negotiation to settle earlier, defend numbers more confidently, and keep more files out of court.
The Hidden 5–10%: How AI Is Plugging Claims Leakage in Motor Insurance
Industry analysts place motor claims leakage at 5–10% of total claims spend — overpayments, duplicates, missed exclusions, and inflated invoices that erode the loss ratio without ever showing up as a line item. Here's how AI is closing that gap across the motor claims lifecycle, with evidence from peer-reviewed research, McKinsey, and the ABI.
The Subrogation Gap: How AI Is Recovering the Dollars Motor Insurers Leave Behind
Subrogation is where motor insurers routinely leave money on the table, industry studies suggest 10 to 25 percent of viable opportunities go unpursued. Here's how AI is helping claims teams surface liability faster, score recovery probability, and turn subrogation from a back-office afterthought into a measurable lift on combined ratio.
Trusted by Claims & Disputes Professionals
From boutique firms to top-tier enterprises.
"Lawdify has powered our work on a €300 million dispute, helping our team manage over 100,000 documents and tackle 70 distinct issues."
"Choosing Lawdify was an easy decision as they are dispute resolution-focused. It helps my team to get tasks done well and efficiently, and our clients are the ultimate beneficiaries."
Ready to Transform Claims Assessment?
See how Lawdify can reduce turnaround time, prevent leakage, and detect fraud at scale.
