Only the data you need, no clickbait
Exa returns exactly what you ask for
Startups applying AI to law
LinkedIn · Ronald van Loon
https://www.linkedin.com/pulse/role-artificial-intelligence-empowering-data-driven-lawyer-van-loon
The legal sector has a lot of data to work with which makes it ideal for the implementation of AI and ML. To understand how these technologies ...
Harvard Law School
https://hls.harvard.edu/today/harvard-law-expert-explains-how-ai-may-transform-the-legal-profession-in-2024/
Last June, an attorney filed a legal brief he had written with the help of the generative AI platform, ChatGPT.
YouTube · Speed Mooting
https://www.youtube.com/watch?v=PuAHurDBiDw
In this latest clip from our Partners in Crime Podcast, John and Hayley share a simple tip on that buzz word of commercial awareness!
Complete Legal
https://completelegal.us/2024/03/05/generative-ai-in-the-legal-sphere-revolutionizing-and-challenging-traditional-practices/
This comprehensive article delves into the multifaceted impact of generative AI in the legal marketplace, examining its benefits, drawbacks, and ...
Thomson Reuters
https://www.thomsonreuters.com/en-us/posts/technology/gen-ai-legal-3-waves/
Generative AI is game-changing technology, directly impacting the way legal work is done and the current law firm-client business model.
American University
https://aura.american.edu/articles/journal_contribution/AI_in_the_Court_Artificial_Intelligence_s_Impact_on_the_Legal_Industry/25833916
Judges and the courts are not the only side of the legal industry that have been impacted by AI's widespread adoption. Some lawyers have already ...
LinkedIn · Jeff Bullwinkel
https://www.linkedin.com/pulse/generative-ai-revolutionizing-legal-practice-making-jobs-bullwinkel-n3s3e
But using GenAI has proved to be a massive time saver and a helpful way for us to build our skills. 2. Learning and development. Staying current ...
NFX
https://www.nfx.com/post/legal-and-ai
AI will cause the legal industry to reinvent itself, like the automobile reinvented transportation.
Startups applying AI to law
Harvey | Generative AI for Elite Law Firms
https://www.harvey.ai/
Centari | Secure Legal AI for Dealmaking
https://www.centari.com/
EvenUp
https://www.evenuplaw.com/
Eve | First AI Hire for your Law Firm
https://www.eve.legal/
AI data analysis for law firms
https://www.legalyze.ai/
Alexi | Leaders in generative AI for Law
https://www.alexi.com/
The Premier AI Copilot for Legal Teams | LegalFly
https://www.legalfly.ai/
Automateâtedious out ofcontract review.
https://www.legalontech.com/
LIBERATING LAWYERSTM
https://www.legalmation.com/
Close deals faster
https://www.superlegal.ai/
Startups applying AI to law
Harvey | Generative AI for Elite Law Firms
https://www.harvey.ai/
Centari | Secure Legal AI for Dealmaking
https://www.centari.com/
EvenUp
https://www.evenuplaw.com/
Eve | First AI Hire for your Law Firm
https://www.eve.legal/
AI data analysis for law firms
https://www.legalyze.ai/
Alexi | Leaders in generative AI for Law
https://www.alexi.com/
The Premier AI Copilot for Legal Teams | LegalFly
https://www.legalfly.ai/
Automateâtedious out ofcontract review.
https://www.legalontech.com/
LIBERATING LAWYERSTM
https://www.legalmation.com/
Close deals faster
https://www.superlegal.ai/
Exa API
Built to provide AI applications with high quality web data. Powered by meaning-based search.
Neural Search
Keyword Search
Scrape Content
pip install exa_py
from exa_py import Exa
exa = Exa("EXA_API_KEY")
results = exa.search(
"latest development in machine learning",
category="papers"
)
{
"results": [
{
"score": 0.1836702525615692,
"title": "Asymptotically Optimal Regret for Black-Box Predict-then-Optimize",
"id": "https://arxiv.org/abs/2406.07866",
"url": "https://arxiv.org/abs/2406.07866",
"publishedDate": "2024-06-12",
"author": "Tan; Samuel; Frazier; Peter I"
},
{
"score": 0.18168984353542328,
"title": "Machine Unlearning for Uplink Interference Cancellation",
"id": "https://arxiv.org/abs/2406.05945",
"url": "https://arxiv.org/abs/2406.05945",
"publishedDate": "2024-06-10",
"author": "Guven; Eray; Kurt; Gunes Karabulut"
},
{
"score": 0.17979080975055695,
"title": "Attention as an RNN",
"id": "https://arxiv.org/abs/2405.13956",
"url": "https://arxiv.org/abs/2405.13956",
"publishedDate": "2024-05-22",
"author": "Feng; Leo; Tung; Frederick; Hajimirsadeghi; Hossein; Ahmed; Mohamed Osama; Bengio; Yoshua; Mori; Greg"
},
{
"score": 0.17959752678871155,
"title": "FaithFill: Faithful Inpainting for Object Completion Using a Single Reference Image",
"id": "https://arxiv.org/abs/2406.07865",
"url": "https://arxiv.org/abs/2406.07865",
"publishedDate": "2024-06-12",
"author": "Mallick; Rupayan; Abdalla; Amr; Bargal; Sarah Adel"
},
{
"score": 0.17918667197227478,
"title": "Talking Heads: Understanding Inter-layer Communication in Transformer Language Models",
"id": "https://arxiv.org/abs/2406.09519",
"url": "https://arxiv.org/abs/2406.09519",
"publishedDate": "2024-06-13",
"author": "Merullo; Jack; Eickhoff; Carsten; Pavlick; Ellie"
},
{
"score": 0.17634162306785583,
"title": "FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar",
"id": "https://arxiv.org/abs/2406.04546",
"url": "https://arxiv.org/abs/2406.04546",
"publishedDate": "2024-06-06",
"author": "Kahya; Sabri Mustafa; Sivrikaya; Boran Hamdi; Yavuz; Muhammet Sami; Steinbach; Eckehard"
},
{
"score": 0.17634151875972748,
"title": "xLSTM: Extended Long Short-Term Memory",
"id": "https://arxiv.org/abs/2405.04517",
"url": "https://arxiv.org/abs/2405.04517",
"publishedDate": "2024-05-07",
"author": "Beck; Maximilian; Pöppel; Korbinian; Spanring; Markus; Auer; Andreas; Prudnikova; Oleksandra; Kopp; Michael; Klambauer; Günter; Brandstetter; Johannes; Hochreiter; Sepp"
},
{
"score": 0.17621161043643951,
"title": "World Models with Hints of Large Language Models for Goal Achieving",
"id": "https://arxiv.org/abs/2406.07381",
"url": "https://arxiv.org/abs/2406.07381",
"publishedDate": "2024-06-11",
"author": "Liu; Zeyuan; Huan; Ziyu; Wang; Xiyao; Lyu; Jiafei; Tao; Jian; Li; Xiu; Furong; Xu; Huazhe"
},
{
"score": 0.17613205313682556,
"title": "Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images",
"id": "https://arxiv.org/abs/2405.03762",
"url": "https://arxiv.org/abs/2405.03762",
"publishedDate": "2024-05-06",
"author": "Gomez; Jorge Tapias; Rangnekar; Aneesh; Williams; Hannah; Thompson; Garcia-Aguilar; Julio; Smith; Joshua Jesse; Veeraraghavan; Harini"
},
{
"score": 0.17593073844909668,
"title": "MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes",
"id": "https://arxiv.org/abs/2404.15668",
"url": "https://arxiv.org/abs/2404.15668",
"publishedDate": "2024-04-24",
"author": "Ma; Xiaolong; Yan; Feng; Lei; Foster; Ian; Papka; Michael E; Liu; Zhengchun; Kettimuthu; Rajkumar"
}
],
"requestId": "abb0f98756d6c722ca35e06e0970652b"
}
Example use cases
FIND & ENRICH (RAG)
Summarize news
Look up and summarize the latest news on any topic
POWER CONTENT (RAG)
Q&A with RAG
Create a Q&A chatbot and use Exa to contextualize the LLM with latest info
IN APP SEARCH
Competitor analysis tool
Pull in company webpages from any sector, product, or geography
SYNTHETIC DATA
Research assistant
Finds and synthesizes reliable sources on a given topic
Companies
People
Research
Articles
Trusted by thousands of developers
and companies
“Exa feeds our deep research AI, which helps sales people research their prospects. Without Exa's speed and quality over the web, this would be hard to pull off!”
“Models are only as good as the data they're trained on, and Exa's search allowed us to get high quality data we couldn't find any other way”
“Exa is good, really good. We went from multiple API calls and scraping into a single <1s fast call. The results are way different than traditional search, and way better. Our users love it!”
“Exa feeds our deep research AI, which helps sales people research their prospects. Without Exa's speed and quality over the web, this would be hard to pull off!”
“Models are only as good as the data they're trained on, and Exa's search allowed us to get high quality data we couldn't find any other way”
“Exa is good, really good. We went from multiple API calls and scraping into a single <1s fast call. The results are way different than traditional search, and way better. Our users love it!”