
LegalAI
LegalAI - AI on you side
What it does
Lawyers love AI. But they can't use it. Cloud servers are a professional conduct violation. LegalAI is a 100% on-premise RAG system. Privacy: No cloud, no data leaks. Hardware: Optimized for Mac Mini M4 Pro (64GB RAM). Power: Runs 70B models locally with cited answers. Performance: ~10-15 tokens/sec (fast, real-time generation). Savings: One-time cost. No per-query fees or vendor lock-in. Your office, your data, your AI.
Does the same job
all alternatives →




- TFThe first legal AI API2025 · docs.isaacus.com · ▲5
Hey HN, Over the past couple months, we, a team of Aussie legal and AI experts, have been working on building a new type of legal AI company — a company that, instead of trying to automate legal jobs, is trying to automate legal tasks. We want to make lawyers’ lives easier, not replace them. We’ve been laser-focused on building small and efficient yet still highly accurate, specialized models for some of the most time-consuming and mundane legal tasks lawyers have to perform. Stuff like running through a thousand contracts just to locate any clauses that would allow you to get out early. We…
More work this month
the category →


The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com


Mac-native app for screenshots, recordings and collaboration Discussion | Link
Work · 5d ago · producthunt.com
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com