Dr. Bernhard Waltl

Computer Scientist with a Passion for LegalTech



I am invited to join a panel discussion at the launch event of Technical University of Munich’s INSTITUTE FOR ETHICS IN ARTIFICIAL INTELLIGENCE. The event will take place on 7th October, 2019 in Munich.

Together with colleagues from the Liquid-Legal-Institute e.V. we published the LegalTech Digitalization Guide. It was a great pleasure to work on the document with the colleagues from BusyLamp, Telefonica, KPMG Law, ECE, and many more. Freely download the document here: LINK

I was invited to organize a workshop to discuss the potentials of LegalTech for Public Courts at the Deutscher Verwaltungsgerichtstag in Darmstadt (May 2019).


I am working on an article "Digital Contract Intelligence at Large Enterprises: Use Cases and Roadmaps
To be presented at the Jurix Conference Workshop on Legal Data Analytics, December 2019, Madrid, Spain

I am contributing an article on "Explainability of Algorithmic Decision Making" for the "Research Handbook on Big Data and Law"
To appear as 1st edition in 2020, Editor: Dr. Roland Vogl (Stanford University)

I am contributing an article on "Erklärbarkeit und Transparenz im Maschinellen Lernen" for the "Philosophisches Handbuch der Künstlichen Intelligenz"
To appear as 2nd edition in 2019, Editor: Prof. Dr. Klaus Mainzer (TUM)

Together with Roland Vogl (Stanford University) I have published an article on "Increasing Transparency in Algorithmic-Decision-Making with Explainable AI".
Appeared 2018 in the Springer Journal "Datenschutz und Datensicherheit".



Technology is - in addition to data - a driving force for semantic analysis of legal documents to support humans during decision making processes. Information retrieval, smart data, and intelligent processing can dramatically simplify process and make the more efficient.


Repetitive and well-structured decision making processes can be automated by artificial intelligence. The development and implementation of computational models to support decision-making processes, such as computational law and smart contracts, are highly attractive for companies and governments.


Policy analysis and governance of technological innovations, such as discriminating algorithms and explainable artificial intelligence, need to be proactively addressed in the future. Artificial intelligence is not a black-box, but can - to a certain degree - be understood and explained to humans.


Huge potential can be leveraged at intersection of law and information technology. A common language and interdisciplinary expertise is required for in-house departments and law firms to profit from those synergies.

Publications & Presentations

Selected Publications

  1. Please find a list of publications here: TUM, Google Scholar, and Research Gate.

Selected Presentations

  1. Expert Round on Discrimination through Artificial Intelligence, September 15th, 2019, Antidiscrimination Authority of the Federal Ministry of Justice and Consumer Protection, Berlin
  2. LegalTech for Administrative Courts , May 17th, 2019, Deutscher Verwaltungsgerichtstag, Darmstadt
  3. The LegalTech Digitalization Guide, April 11th, 2019, Legal Market Conference, Munich
  4. Liquid-Legal-Institute: The think tank for the legal industry, December 8th, 2018, Inhouse Matters, Frankfurt
  5. LegalTech: A Contract Lifecycle Journey, November 6h, 2018, Sweet Legal Tech Symposium, Milano
  6. Explainable Artificial Intelligence, March 21st, 2018, a-i3/Bundesamts für Sicherheit in der Informationstechnik (BSI) Symposium 2018, Bochum
  7. Studie zur Machbarkeit eines Algorithmengesetzes, March 15th, 2018, Handelsblatt Tagung: Künstliche Intelligenz
  8. From the unstructured document to the structured contract, Webinar Blockchain & Smart Contracts, March 13th, 2018, WeblawCH
  9. Classifying Legal Norms with Active Machine Learning, Research Colloquium, February 7th, 2018, Center for Information and Language Processing, LMU, Munich
  10. Computational Methods in Law, February 1st - 3rd, 2018, Wissenschaftliches Kolloquium, Universität Heidelberg and Universität Ulm
  11. Explainable Artificial Intelligence and its Role in Discriminative Algorithmic Decision Making, January 23rd, 2018, Universität des Saarlands, Saarbrücken
  12. Preventing the Next AI Winter in Legal Informatics with Explainable Artificial Intelligence , December 13th, 2017, Workshop on Legal Data Analysis, Luxembourg
  13. Modeling, Execution and Analysis of Formalized Legal Norms in Model Based Decision Structures, 8th December, 2017 Stanford University Logic Group, Stanford
  14. Classifying Legal Norms with Active Machine Learning, Research Colloquium, November 29th, 2017, Language Technology Institute, Carnegie Mellon University, Pittsburgh
  15. The Smart Workspace: What can technology do for lawyers?, Thomson Reuters CodeX Summit 2017, November 17th, 2017, Stanford University
  16. Potential and Challenges of Legal Technology: An Illustrative and Central European Perspective, Research Colloquium of the European University of St. Petersburg, 4th September, 2017
  17. Visualisierung und Datenanalyse für rechtliche Prüfprozesse, Würzburg, Gastvorlesung, Medien- und Computerstrafrecht (Internetstrafrecht), 11th Juli, 2017
  18. Lexia: Tool-supported Collaborative Legal Data Science, Forschungskolloquium der Universität Zürich, Zentrum für Rechtsetzungslehre, 19th June 2017
  19. Modeling, Execution and Analysis of Formalized Legal Norms in Model Based Decision Structures, AICOL Workshop, ICAIL, London, 12th June, 2017
  20. Applying Artificial Intelligence in Contracts and Contract Management, München, IACCM German Board Member Meeting, 4th October, 2016
  21. Die Zukunft des Rechts – Digitalisierung und LegalTech als Chance für Wissenschaft und Praxis; Göttingen, Gastvorlesung Rechtssoziologie, 21st June 2016
  22. Databases & Visualizations; Convergence versus Divergence? Network Analysis of International Law, Geneva, Graduate Institute & World Trade Institute, 19th and 20th May 2016


DATEV eG, Nuremberg, Germany

Semantic analysis of tax law documents with algorithms and AI. In particular, laws, judgments and contracts. Publicly available publication at IRIS 2017.

SINC GmbH, Wiesbaden, Germany

Algorithms to support the contract analysis of lawyers. Information extraction, clause rating and intelligent drafting of contracts in tenancy law.

Consulting in the evaluation of algorithms for individual und dynamic pricing. Complete at report Monopolkommission.
Consulting of the SVRV in the context of a project of the Gesellschaft für Informatik in the field of discrimination through algorithmic decision making. More information at ADM GI.

A LegalTech ThinkTank fostering exchange and collaborating within industry-driven projects with a particular focus to initiate a CLP - Common Legal Platform.

Curriculum Vita

Since 2018
Data Scientist at BMW Group AG
Department for Emerging Technologies: Distributed Ledger Technologies and Natural Language Processing
Since 2018
Co-Founder of the Liquid-Legal-Institute e.V.
Digital Transformation in the Legal Domain and Legal Design Thinking
Together with Astrid Kohlmeier, Kai Jacob, Dr. Dierk Schindler, Dr. Jens Wagner, Dr. Thomas Wegerich, and Dr. Roger Strathausen
2014 - 2018
PhD (Dr. rer. nat.) at the Technical University of Munich.
Software Engineering for Enterprise Information Systems, see Profile.
Dissertation: Semantic Analysis and Computational Modeling of Legal Documents
Since 2018
Member of the Industry Advisory Board of the German Informatics Society (Wirtschaftsbeirat der Gesellschaft für Informatik)
Visiting Research Fellow at Stanford University.
CodeX: Center for Legal Informatics at Stanford Law School, see Profile.
Since 2014
Co-Founder of Lexalyze – An Interdisciplinary Research Program” for bi-directional and interdisciplinary knowledge transfer between law and informatics.
Together with Prof. Dr. Florian Matthes and Prof. Dr. Hans Christoph Grigoleit
2011 - 2014
Master of Science at the Technical University of Munich.
Informatics and Computer Science
Master’s Thesis: A System-Theoretical Perspective on IT Audits in the Financial Sector.
2011 - 2013
Master of Arts at the Technical University of Munich.
Philosophy of Science and Technology at the Munich Center for Technology in Society (MCTS)
Master's Thesis: Description, Modeling and Interdisciplinary Analogies of Complexity and Complex Systems.


bernhard.waltl [at] outlook [dot] com