ConAn AI
A contract isn't a blob of text: it's structure, clauses and parties. ConAn reads it that way. Upload a contract in any format, watch its structure surface, and chat with the document in plain language.
Features
Built for contracts, not for prose
Generic chatbots treat a contract like any other text. ConAn doesn't. It reads along clauses, numbered sections, defined terms and the parties to the agreement: the structural features that actually carry legal meaning. The result is a companion tuned for expert review, not a language model with a PDF attached.
End-to-end Swiss data residency
Every layer of ConAn runs inside Switzerland: the platform, the documents you upload, the conversations you have, and the AI models that answer. Nothing crosses the border. Every action leaves an audit trail. Confidentiality isn't a setting. It's the architecture.
Answers you can point to
Ask a question in plain language and ConAn returns an answer grounded in the document, with the exact clause shown alongside the response. No paraphrasing, no approximations. Just the text of the contract, with the reasoning laid out next to it. Reviewers stay in control; the tool shows its work.
Hours returned to the work that matters
ConAn takes over the mechanical parts of review: locating the right clause, summarising section by section, checking whether standard items are present. The time that gets freed up flows back into the work where human experience actually matters: negotiation, risk assessment and the client conversation itself.
Any format, no pre-cleaning
PDF, DOCX, Markdown. Upload what you have.
Every answer cited
Exact clause shown next to every response, so nothing is taken on faith.
Multi-document conversations
Ask across a full portfolio of contracts, not one file at a time.
Hundreds of contracts processed to date
Across advisory mandates, vendor agreements and licensing contracts.
x
faster first-pass review
Time from upload to structured overview, measured against a manual baseline.
%
Clause-level precision
On MMG's internal benchmark of standard banking and licensing contracts.
Built for contracts, not for prose
Generic chatbots treat a contract like any other text. ConAn doesn't. It reads along clauses, numbered sections, defined terms and the parties to the agreement: the structural features that actually carry legal meaning. The result is a companion tuned for expert review, not a language model with a PDF attached.
Hours returned to the work that matters
ConAn takes over the mechanical parts of review: locating the right clause, summarising section by section, checking whether standard items are present. The time that gets freed up flows back into the work where human experience actually matters: negotiation, risk assessment and the client conversation itself.
Multi-document conversations
Ask across a full portfolio of contracts, not one file at a time.
%
Clause-level precision
On MMG's internal benchmark of standard banking and licensing contracts.
End-to-end Swiss data residency
Every layer of ConAn runs inside Switzerland: the platform, the documents you upload, the conversations you have, and the AI models that answer. Nothing crosses the border. Every action leaves an audit trail. Confidentiality isn't a setting. It's the architecture.
Any format, no pre-cleaning
PDF, DOCX, Markdown. Upload what you have.
Hundreds of contracts processed to date
Across advisory mandates, vendor agreements and licensing contracts.
Answers you can point to
Ask a question in plain language and ConAn returns an answer grounded in the document, with the exact clause shown alongside the response. No paraphrasing, no approximations. Just the text of the contract, with the reasoning laid out next to it. Reviewers stay in control; the tool shows its work.
Every answer cited
Exact clause shown next to every response, so nothing is taken on faith.
x
faster first-pass review
Time from upload to structured overview, measured against a manual baseline.
Built for contracts, not for prose
Generic chatbots treat a contract like any other text. ConAn doesn't. It reads along clauses, numbered sections, defined terms and the parties to the agreement: the structural features that actually carry legal meaning. The result is a companion tuned for expert review, not a language model with a PDF attached.
Answers you can point to
Ask a question in plain language and ConAn returns an answer grounded in the document, with the exact clause shown alongside the response. No paraphrasing, no approximations. Just the text of the contract, with the reasoning laid out next to it. Reviewers stay in control; the tool shows its work.
Any format, no pre-cleaning
PDF, DOCX, Markdown. Upload what you have.
Multi-document conversations
Ask across a full portfolio of contracts, not one file at a time.
x
faster first-pass review
Time from upload to structured overview, measured against a manual baseline.
End-to-end Swiss data residency
Every layer of ConAn runs inside Switzerland: the platform, the documents you upload, the conversations you have, and the AI models that answer. Nothing crosses the border. Every action leaves an audit trail. Confidentiality isn't a setting. It's the architecture.
Hours returned to the work that matters
ConAn takes over the mechanical parts of review: locating the right clause, summarising section by section, checking whether standard items are present. The time that gets freed up flows back into the work where human experience actually matters: negotiation, risk assessment and the client conversation itself.
Every answer cited
Exact clause shown next to every response, so nothing is taken on faith.
Hundreds of contracts processed to date
Across advisory mandates, vendor agreements and licensing contracts.
%
Clause-level precision
On MMG's internal benchmark of standard banking and licensing contracts.
Unsere ConAn AI-Experten
Digitalization
ProcessImprovement
AI
Jeremias Senn
Jeremias Senn
"A well of positive energy backed up by good ideas and attitude"
BankingServices
Fintech
Digitalization
Regulation
Christoph Buck
Christoph Buck
"Serious about results, relaxed about everything else"
WebApps
Digitalization
Development
Benjamin Halfar
Benjamin Halfar
"Loves to combine fun with work nearly as much as junk food with Bordeaux"
ManagementConsulting
Sourcing
Richard Bleuler
Richard Bleuler
"A cross between Indiana Jones, Dr. House and SpongeBob"
Digitalization
BusinessAnalysis
Development
WebApps
Sourcing
Christian Bosshard
Christian Bosshard
Digitalization
ProcessImprovement
AI
Jeremias Senn
Jeremias Senn
"A well of positive energy backed up by good ideas and attitude"
BankingServices
Fintech
Digitalization
Regulation
Christoph Buck
Christoph Buck
"Serious about results, relaxed about everything else"
WebApps
Digitalization
Development
Benjamin Halfar
Benjamin Halfar
"Loves to combine fun with work nearly as much as junk food with Bordeaux"
ManagementConsulting
Sourcing
Richard Bleuler
Richard Bleuler
"A cross between Indiana Jones, Dr. House and SpongeBob"
Digitalization
BusinessAnalysis
Development
WebApps
Sourcing
Christian Bosshard
