Work · alternatives · 2026
24 alternatives to OpenJuris – AI legal research with citations from primary sources
We built tooling that connects LLMs directly to case law databases with citation verification to address hallucination in legal AI. Think of it as giving the model access to actual legal sources instead of relying on training data.
OpenJuris is an AI legal research tool that connects language models directly to case law databases with built-in citation verification. Designed for legal professionals and researchers, it addresses hallucination… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
- 1
Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
2023 · vectara.com · its alternatives →
- 2
I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…
2024 · github.com · its alternatives →
- 3
Athina AI▲509Monitor LLMs and automatically detect hallucinations in prod
2024 · athina.ai · its alternatives →
- 4
Evidently AIfree▲382Open-source evaluations and observability for LLM apps
2024 · evidentlyai.com · its alternatives →
- 5FA
This is a quick prototype I built for semantic search and factual question answering using embeddings and GPT-3. It tries to solve the LLM hallucination issue by guiding it only to answer questions from the given context instead of making things up. If you ask something not covered in an episode, it should say that it doesn't know rather than providing a plausible, but potentially incorrect response. It uses Whisper to transcribe, text-embedding-ada-002 to embed, Pinecone.io to search, and text-davinci-003 to generate the answer. More examples and explanations here:…
2022 · huberman.rile.yt · its alternatives →
- 6
Sup AI▲103Hi HN. I'm Ken, a 20-year-old Stanford CS student. I built Sup AI. I started working on this because no single AI model is right all the time, but their errors don’t strongly correlate. In other words, models often make unique mistakes relative to other models. So I run multiple models in parallel and synthesize the outputs by weighting segments based on confidence. Low entropy in the output token probability distributions correlates with accuracy. High entropy is often where hallucinations begin. My dad Scott (AI Research Scientist at TRI) is my research partner on this. He sends me papers…
Apr 2026 · sup.ai · its alternatives →
- 7
- 8
- 9
Legalysis▲77AI tool for analyzing & and summarizing legal documents.
2023 · legalysis.co · its alternatives →
- 10
Open-source Legal AI workspace for evidence-grounded legal drafting, matter analysis and verifiable answers. - JustVugg/judicex
May 2026 · github.com · its alternatives →
- 11
Turn PDFs into courses with AI without irrelevant additions
2025 · minicoursegenerator.com · its alternatives →
- 12
AI research tool where YOU choose which publishers to trust
Mar 2026 · hallucinationbuster.com · its alternatives →
- 13
WarpHaze▲14Stop AI hallucinations and verify your AI-generated text
2025 · warphaze.com · its alternatives →
- 14
Open Source Reliability Harness: Make your agents follow rules. One line of code to enforce, trace, and improve. - GitHub - open-bias/open-bias: Open Source Reliability Harness: Make your agents follow rules. One line of code to enforce, trace, and improve.
Apr 2026 · github.com · its alternatives →
- 15
- 16
RagMetrics▲13We built live AI evaluation to detect hallucinations, grounding issues, and drift as outputs are generated. This helps teams move GenAI from pilots into production.
2025 · ragmetrics.ai · its alternatives →
- 17
The first GPT-based solution that uses hallucinations from LLMs for divergent thinking to generate new and novel ideas. Hallucinations are often seen as a negative thing, but what if they could be used for our advantage? dreamGPT is here to show you how. The goal of dreamGPT is to explore as many possibilities as possible, as opposed to most other GPT-based solutions which are focused on solving specific problems.
2023 · github.com · its alternatives →
- 18
Hallucinations are still a major blocker for deploying reliable retrieval-augmented generation (RAG) systems, especially in complex domains like medical or legal. Most existing hallucination detectors rely on full LLM inference (expensive, slow), or struggle with long-context inputs. I built LettuceDetect — an open-source, encoder-only framework that detects hallucinated spans in LLM-generated answers based on the retrieved context. No LLMs needed, and it much more efficiently. Highlights: - Token-level hallucination detection (unsupported spans flagged based on retrieved evidence) - Built…
2025 · github.com · its alternatives →
- 19
- 20
- 21
An information-flow policy engine for LLM agents.
26d ago · openappa.com · its alternatives →
- 22
- 23
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Jun 2026 · huggingface.co · its alternatives →
- 24
Hi HN, I built OpenGraviton, an open-source AI inference engine designed to push the limits of running extremely large models on consumer hardware. The system combines several techniques to drastically reduce memory and compute requirements: • 1.58-bit ternary quantization ({-1, 0, +1}) for ~10x compression • dynamic sparsity with Top-K pruning and MoE routing • mmap-based layer streaming to load weights directly from NVMe SSDs • speculative decoding to improve generation throughput These allow models far larger than system RAM to run locally. In early benchmarks, OpenGraviton reduced…
Mar 2026 · opengraviton.github.io · its alternatives →
Also compare
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →