Semeris is a London-based legal and finance document-analysis platform focused on debt and structured-finance workflows rather than general-purpose document management. The strongest public evidence points to a specialist review job: Semeris says it is building the future of structured-finance analysis, positions its tools for law firms, finance, and asset management teams, and claims coverage across CLOs, ABS, MBS, leveraged loans, and private credit. The MongoDB customer interview is the clearest third-party workflow description: CEO Peter Jasko says Semeris helps investment banking and lawyer clients analyze legal documentation, extract key information from transactions with 500 to 1,000 pages of documents, and reduce review time from 7-8 hours to a couple of hours. Product pages and Serper results show a document viewer, smart blacklines, datapoint extraction, market comparisons, and an Excel add-in designed to keep analysis inside existing spreadsheet workflows rather than forcing teams into a new operating model. February 2025 funding coverage from LegalTechTalk, FinSMEs, and EU-Startups confirms the company raised about $4.3M / EUR4M led by Puma Growth Partners to expand beyond CLOs and ABS/MBS into leveraged loans and private credit. Public buyer evidence is strongest for large-firm finance lawyers, structured-finance teams, and adjacent institutional finance users; pricing, review-platform coverage, and formal trust documentation remain thin.
Company Info
- Founded: 2020
- Team size: 11-50 employees
- Funding: $5.2M
- HQ: United Kingdom
- Sector: Document Management & Storage
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, Semeris is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Semeris addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Contract redlining is a nightmare — 7 rounds of Track Changes in Word, counterparty turns off tracking, and nobody knows what changed between v5 and v7
PE fund acquisition team needs due diligence on a target company in 72 hours — associates manually read hundreds of deal documents, extract key terms into spreadsheets, and compare against prior deals, spending days on mechanical extraction when the clock is ticking on a competitive bid
Structured-finance associate gets an 800-page indenture the night before committee and needs the waterfall triggers, eligibility criteria, covenant tests, and defined-term changes in Excel before morning — instead they're clicking through PDFs, chasing cross-references, and copying datapoints by hand with no room for a missed number
Where it fits in your workflow
Before Semeris
A law firm finance team, bank lawyer, or structured-finance analyst receives a new deal package, amended indenture, or supplemental document set and needs to understand what changed, what the key terms are, and how the economics compare with prior deals.
After Semeris
The team exports extracted datapoints and comparisons into Excel or Word, updates models or issue lists, prepares advice or investment memos, and moves into negotiation, pricing, committee review, or execution.
Integrations & hand-offs
Deal PDFs and legal documents -> Semeris document viewer / extraction / comparison layer -> Excel add-in and export tables -> lawyers, bankers, and analysts review outputs -> findings feed into negotiations, approvals, and market comparisons.
Also used by similar teams
Community Data
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