Novo (trynovo.com) is an AI-powered platform for personal injury law firms that automates medical chronologies and demand letter generation. Founded 2023 (emerged from stealth Feb 2025) in Austin, TX. $1.1M pre-seed from Bitfury and Raw Ventures. ~11 employees, 598 LinkedIn followers, EV=0 (corrected — brand entirely Novo Bank). Two core products: Medical Chronologies (AI parses medical records into structured timelines) and Demand Letters (‘reverse-engineered insights from claims software to push payouts higher’). Key differentiator vs competitors: native integrations with MyCase and CASEpeer — generates documents directly from case records without manual upload. ‘Try a free draft today’ — free trial available. Blog positions AI as ‘super-smart junior associate capable of reading and writing 1,000 times faster than a human.’ Solo practitioner blog post on scaling PI practice with AI. No Reddit presence. No G2/Capterra reviews. No SOC 2 or HIPAA compliance confirmed despite handling medical records. Pricing not published beyond free trial. Very crowded space: FasterOutcomes, DigitalOwl, CaseMark, Tavrn, Inquery, Mighty all compete in PI AI. Key differentiator: MyCase/CASEpeer integration means workflow stays in existing PM tool vs. competitors requiring separate upload workflow.
Company Info
- Founded: 2023
- Team size: 1-10 employees
- Funding: $1.1M
- HQ: United States
- Sector: Litigation
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Novo is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Novo addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Demand letter drafting takes 3-6 hours per case because the attorney manually weaves medical records, liability facts, and damage calculations into a persuasive narrative — multiplied across 50+ active PI cases
PI attorney receives 500 pages of medical records for a case and needs to understand the treatment timeline and key injuries — reading through everything takes a full day per case, and the demand letter deadline is tomorrow
Where it fits in your workflow
Before Novo
PI firm signs new case → medical records received → records uploaded to Novo (or pulled from MyCase/CASEpeer via integration) → AI generates medical chronology → attorney reviews chronology → AI drafts demand letter from chronology and case data.
After Novo
After demand letter generated → attorney reviews and customises → sent to insurance carrier → settlement negotiation begins → case outcome data could inform future demand strategy.
Integrations & hand-offs
Novo (AI chronology + demand) → MyCase/CASEpeer (case management integration); → insurance carrier (demand package delivery); → word processing (demand letter finalization). No confirmed integration with document management systems.
Also used by similar teams
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