AI litigation risk prediction system using deep learning to identify potential litigation risks in corporate communications and provide early warning to in-house legal departments. Founded by Nick Brestoff. Stanford Law featured (2017). Artificial Lawyer coverage (2016, 2018). Uses deep learning + dtSearch integration. Has patents on deep learning approach. WARNING: All substantive press coverage is from 2016-2018. No evidence of recent activity, product updates, or current customers. May be dormant or defunct.
Company Info
- Founder: Nick Brestoff
- Sector: AI Litigation Risk Prediction
What We Haven’t Verified
This page was assembled from publicly available information. WARNING: All press coverage is from 2016-2018. Current product availability, active development status, and customer base are unverified. Product may be dormant or defunct.
Workflows
Based on practitioner evidence, Intraspexion is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Intraspexion addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
In-house legal team gets 200+ compliance queries per month ('Can we do X in Germany?', 'Does CCPA apply to this data?') — each one requires a lawyer to manually triage, research, and respond, but 80% are repetitive questions with deterministic answers that could be automated into a decision tree
Where it fits in your workflow
Community Data
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