# thomasunise/casecite > Self-hosted legal research platform: upload your firm's documents, ask questions with citations, review contracts, draft documents and research judges. Runs on your own infrastructure with your own API keys. - Magnitude: 1.2 out of 10 — Quiet - Stars: 4 total · +2 stars measured 2026-10-25, 21:27–22:56 UTC - Star trust: star growth looks organic - Category: Language models · Language: Python · Created: 2026-08-27 · Last push: 2026-10-15 - GitHub: https://github.com/thomasunise/casecite · Homepage: https://thomasunise.com · Page: https://gitnova.dev/en/r/thomasunise/casecite ## Useful for - Upload the firm's document corpus and ask questions with inline citations - Compare 2–4 contracts clause-by-clause and export a redline - Draft a long agreement grounded in selected knowledge base documents ## Why it’s here - Star-counter measurements on 2026-10-25 (UTC), 21:27–22:56: 2 → 4 stars (+2). This is the change over that interval. - The repository is 59 days old and already has 4 stars. - Hacker News: “Show HN: CaseCite – Free RAG caselaw research and document analysis for lawyers” — 14 points, 2 h ago. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 1 - Issues and pull requests: 34 - Watchers: 0 - Average over the last week: 0 per day - Usual pace: 0 per day - Stars in the last hour (measured): 1 ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-26 … 2026-10-25: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2 ## Hacker News - Show HN: CaseCite – Free RAG caselaw research and document analysis for lawyers — 14 points, 2 comments: https://news.ycombinator.com/item?id=50235915 ## Spotted in now - Spotted on Hacker News ## More in this category 1. **lyramakesmusic/neuron-explorer** — 7.0 · Early signal · Language models · Python · +485 stars measured 2026-10-25, 13:46–22:50 UTC A steering-first neuron explorer for Qwen3.5-4B: it pushes every MLP neuron up and down on prompts, keeps all rollouts, and lays the results out over a 3D view of the model for interpretability research. Full card: https://gitnova.dev/en/r/lyramakesmusic/neuron-explorer.md 2. **deepseek-ai/DeepInfer** — 6.5 · Cooling · Language models · Python · +530 stars measured 2026-10-25, 00:09–22:50 UTC Offline inference framework for running DeepSeek models at large scale: optimized kernels, MoE/Attention parallelism, deterministic sampling and structured outputs. Aimed at teams deploying DeepSeek-V4.1-Flash on NVIDIA SM100 or Huawei… Full card: https://gitnova.dev/en/r/deepseek-ai/DeepInfer.md 3. **routerhubSI/uncensored-ai-api** — 5.7 · Early signal · Language models · +227 stars measured 2026-10-25, 00:10–22:50 UTC Gateway to AI APIs and models (Claude, GPT, Gemini, Grok, DeepSeek, GLM, Qwen) with one key, OpenAI- and Anthropic-compatible, offering uncensored and abliterated variants with pay-per-token billing. Full card: https://gitnova.dev/en/r/routerhubSI/uncensored-ai-api.md 4. **slee-persis/GVS5H** — 5.2 · Breakout · Language models · Python · +188 stars measured 2026-10-25, 04:56–22:50 UTC A training-free method that runs five instances of one LLM in parallel, coordinating through a shared filesystem to solve hard coding problems, evaluated on LiveCodeBench. Full card: https://gitnova.dev/en/r/slee-persis/GVS5H.md 5. **Tencent/WeVisOne-VL** — 4.7 · Early signal · Language models · Jupyter Notebook · +89 stars measured 2026-10-25, 00:10–22:50 UTC WeVisOne-VL is a vision-language model by the WeChat Vision Team at Tencent that unifies object-level and pixel-level perception: detection, referring localization, counting, pointing, OCR, segmentation, and alpha matting. It handles… Full card: https://gitnova.dev/en/r/Tencent/WeVisOne-VL.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-25 23:00 UTC, updated every 30 minutes.