FirmAdapt

Field notes on AI in business

Practical writing on AI, automation and the day-to-day work of running a business. From the team that builds and runs AI systems.

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Law firms

AI for Matter Budgeting: Predicting Actual vs Estimated Costs

Law firm budgets are notoriously inaccurate. AI changes this by analyzing historical matter data to produce budgets that actually predict what things will cost.

Basel IsmailApr 2, 2026

Law firms

Legal Billing Accuracy: How AI Catches Time Entry Errors Before Clients Do

Billing disputes damage client relationships. AI billing review catches the errors, inconsistencies, and guideline violations that manual review misses, before the invoice goes out.

Basel IsmailApr 2, 2026

Law firms

How AI Assists With Interrogatory Response Preparation

Interrogatory responses are tedious, repetitive, and take far more attorney time than they should. AI tools are compressing the drafting process without sacrificing the precision that discovery responses require.

Basel IsmailApr 2, 2026

Healthcare

AI for ICD-10 Code Suggestion: How It Actually Works in Practice

AI ICD-10 tools parse clinical notes to suggest diagnosis codes with specificity that manual lookup often misses. Here is what the workflow looks like.

Basel IsmailApr 2, 2026

Law firms

Automated Legal Brief Drafting: What AI Can and Cannot Do Today

AI brief drafting tools are getting better fast. But the gap between what they promise and what they deliver is worth understanding before you rely on them for anything that matters.

Basel IsmailApr 2, 2026

Insurance

AI for Commercial Property Claims: Estimating Damage From Satellite and Drone Imagery

Commercial property claims involve large, complex structures where traditional inspection takes days. Satellite and drone imagery combined with AI is compressing that timeline dramatically.

Basel IsmailApr 2, 2026

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Insurance

Catastrophe Claims Surge Handling: How AI Scales When Adjusters Cannot

When a hurricane or wildfire generates thousands of claims overnight, traditional staffing models break down. AI-powered systems are filling the gap between catastrophe volume and adjuster capacity.

Basel IsmailApr 2, 2026

Insurance

Automated Reserves Setting: How Predictive Models Outperform Manual Estimates

Setting accurate reserves early in the claim lifecycle has a direct impact on financial reporting and claims outcomes. Predictive models are doing it faster and more accurately than manual methods.

Basel IsmailApr 2, 2026

Ecommerce retail

How AI Reduces Ecommerce Return Rates by Improving Size Recommendations

Size-related returns account for 40% of apparel returns in ecommerce. AI sizing tools that analyze body measurements and fit preferences are cutting return rates by 30%.

Basel IsmailApr 2, 2026

Ecommerce retail

AI-Powered Product Recommendations That Actually Convert: Moving Past Collaborative Filtering

Collaborative filtering powers most recommendation engines, but newer approaches combining deep learning with contextual signals are lifting conversion rates 2-3x.

Basel IsmailApr 2, 2026

Ecommerce retail

Cart Abandonment Recovery Using Predictive AI: Beyond Basic Email Reminders

Standard cart abandonment emails recover 3-5% of abandoned carts. Predictive AI models that personalize timing, channel, and offer can push recovery rates to 12-18%.

Basel IsmailApr 2, 2026

Ecommerce retail

How Personalized Pricing Increases Average Order Value by 12%

Personalized pricing uses customer behavior data to offer targeted discounts and bundles that increase order value without blanket markdowns.

Basel IsmailApr 2, 2026

1,319 articles