
Anytime AI is the Premier AI Legal Assistant for Plaintiff Lawyers, leveraging the most cutting-edge Generative AI technologies. We empower attorneys by automating essential workflows in personal…

Anytime AI is the Premier AI Legal Assistant for Plaintiff Lawyers, leveraging the most cutting-edge Generative AI technologies. We empower attorneys by automating essential workflows in personal…
Product: All-in-one legal AI platform (Anytime AI / 'Teddy') for plaintiff lawyers covering intake-to-settlement workflows
Core capabilities: Medical-record review, medical chronology, demand letter drafting, discovery automation, deposition summaries
Founded / HQ: Founded 2023; New York, New York, United States
Team size: Approximately 34 employees
Recent funding: Seed round closed Sep 5, 2024; total funding reported ~$5.5M
Legal technology for plaintiff litigation (personal injury, medical malpractice, and related civil plaintiff practices).
2023
Legal Tech
Crunchbase lists the Seed round announced/closed Sep 5, 2024; reporting indicates participation from Olive Technology Ventures and Kao Family Office.
“Seed led by Gopher Asset Management with participation from Olive Technology Ventures and Kao Family Office”
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Company Description
At Anytime AI, we are building the All-in-One Agentic AI for Plaintiff Lawyers, leveraging the most cutting-edge Generative AI technologies. We empower attorneys by automating essential workflows in personal injury cases, facilitating legal research, auto-drafting legal memos, and analyzing legal documents and medical records to expedite fact-finding. Our secure solution can responsibly help lawyers reduce up to 90% of manual efforts, enabling them to better serve their clients and positively impacting the lives of millions.
Position Overview
As a Machine Learning Engineer, you will be instrumental in crafting and refining sophisticated Machine Learning algorithms that drive our legal tech solutions. This role requires robust expertise in machine learning R&D, particularly involving NLP (Natural Language Processing) and Large Language Models, to improve information extraction, information retrieval and search, document analysis and summarization, and generation.
Responsibilities
Requirements
Preferred Skills
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