our News

September 30, 2019

Artificial Intelligence Software Vendor SemLab partners with Reynen Court to offer its AI-enabled automated legal review, reporting, and anonymizing services via the Reynen Court marketplace and services automation platform

One single secure AI-enabled platform makes it easy and affordable to test and adopt the latest AI legal applications without the hassle of privacy, security, and proof of concepts. For Due Diligence, Legal Contract Review, GDPR compliance Semlab offers automated solutions for multi-language use. “We are very excited to be working with Reynen Court to integrate our AI legal solutions with their robust marketplace and services automation platform,” explained Bram Stalknecht, CEO SemLab, an Amsterdam-based legal technology software company.

“We are very pleased to be partnering with SemLab to make their product suite of AI-enabled automated review and anonymizing applications in multilingual domains available through our platform,” Andy Klein, Founder and CEO of Reynen Court noted. ”With Reynen Court, Legal firms and in-house counsel can test and deploy innovative solutions like those from SemLab, while saving resources on sourcing technology and setting up application security, contractual provisions, and innovation risk”.

About Reynen Court

Reynen Court LLC (www.reynencourt.com) enables law firms and corporate legal departments to speed their adoption of AI and other new technologies. Our platform combines a solution store for legal technology with a powerful control panel that makes it easy to adopt and manage modern cloud-based software applications without having to trust firm or client content to the rapidly growing universe of vertically integrated SaaS providers. The platform also lets firms manage subscriptions and provisioning from one place and provides valuable telemetry and enhanced interoperability between and among third-party applications. Founded by serial Internet entrepreneur and former Cravath, Swaine and Moore associate Andrew D. Klein, Reynen Court is supported by a broad consortium of nineteen of the largest global law firms. Clifford Chance and Latham & Watkins serve as co-chairs of the Reynen Court consortium and are also investors in the company. Paul Weiss serves as vice-chair of the consortium.

About Semlab

SemLab is an Artificial Intelligence Software company based in Amsterdam, The Netherlands offering Machine Learning, Natural Language Processing and Data Extraction. Semlab Anonymization is AI-driven software for removing sensitive personal data from documents. Semlab DocReview is legal document review system that automatically creates comprehensive reports of the most common legal issues.

More at www.semlab.nl

January 22, 2019

SemLab €4 Million AI-driven research project open for participation to improve quality of life after cancer treatment with health & wearables data.

SemLab € 4 Million Research project ”Artificial Intelligence for monitoring health status combining big data from new sources of health data including mobile health apps & wearables, social-, nutrition- and health records data”. The project is now open for participants within oncology or data driven organizations.

Challenge: AI (Artificial Intelligence) can provide new opportunities to define statistical and clinical significance, but present also challenges as it requires specific analytical approaches. Cancer treatment Information will not only be collected from traditional sources (cohorts, comprehensive electronic health records and clinical registries) but there is a fast growing number new sources which will be useful to include. Semlab indicated emerging sources from personalized mobile health apps and wearables and sources from other areas such us nutrition, social, environmental data. After informed consent this data from disparate sources effectively monitor health status of individual patients, provide overall actionable insights at the point of care and improve quality of life after the cancer treatment.

Outcome: The project outcome determining and monitoring the combined effects of cancer treatment, environment, lifestyle and genetics on the quality of life, enabling early identification of effects that can cause development of new medical conditions and/or impair the quality of life.

Bram Stalknecht: We focus on how to better acquire, manage, share, model, process and exploit big data using, AI to effectively monitor health status of individual patients, provide overall actionable insights at the point of care and improve quality of life after the cancer treatment.

Participation: Semlab already have good quality partners, but we are open to discuss participation from Oncology Hospitals, Post-oncology Organizations, Pharmaceutical Companies and Health app & wearables Manufacturers. Other companies with relevant data (social, environmental, etc.) are also welcome to discuss participation.
This is a € 4 Million EC-funding Research and Innovation project proposal.

Contact: For more info please contact our sales dept: sales@semlab.nl

October 8, 2018

State Secretary Mona Keijzer awarded SemLab, 2.5€ Million European Innovation project

State Secretary Mona Keijzer awarded SemLab for €2,5 Million European Innovation Project.

Eurostars, a co-funded European Union programme, enabled SemLab to collaborate with data analytics companies across Europe. This ranged from Big Data Analytics in Sweden, Statistic Machine Translation in Latvia to Data Integration in Turkey. SemLab integrates high valuable tools within its Artificial Intelligence software to provide innovative solutions to its customers.

September 19, 2018

Semlab introduction video

We have recently added a new introduction video to our website. Check it out and if oyu have any questions, please let us know.

SemLab is an Artificial Intelligence Software company. We make decision support applications, of which the software is based on language technology, for especially Fintech, Legaltech and Healthcare.

November 15, 2017

Crypto Data: First Blockchain project for Reference Data.

SemLab is currently entering a Shared Reference Data project with distributed ledger technology, in order to simplify reference data processes. Reference data is a headache for financial instrument services, where there is a lack of coordination, legacy data systems and inefficient processes. SemLab will make the current legacy obsolete and stop the need of having own record keeping with inevitable and costly inconsistencies that need to be reconciled. The project aim is to tackle these problems through the distributed ledger prototype simulate the collaborative management of reference data, as well as the use of that data for corporate bond issuance. The project is now open for participants in the financial service industry. Data suppliers, buy- and sell side participants will be part of the project, benefit in first user experience in crypto data.

Participants could interact with reference data after issuance, with any proposed changes requiring validation by the underwriter to ensure the ledger provided a single, immutable record of all data related to the bond. The partners allowing regulators and network participants to view in real time which parties on the ledger have created, issued and proposed amendments to the data record.

The project outcome is a shared reference data platform based on disturbed ledger technology. Results intend to demonstrate accurate and automated blockchain ref data and reduce reference data costs while improving latency and operational risks in back offices. Reference Data will be managed by one sophisticated agile system without the need of own data copies.

SemLab is combing Artificial Intelligence and Blockchain technology to cover over 15 million financial instruments in more than 200 markets, to improve risk management, maintain compliance with regulatory mandates and maximize operational efficiency. Artificial Intelligence, eg natural language processing, machine learning is used in text analytics in order to integrate reference content correctly.

For more participating in the first crypto-data blockchain project please contact sales@semlab.nl

November 15, 2017

Grafische vormgeving van jurisprudentie? Juribot doet het!

Emma Smitshuijzen, Legal Business Analyst, over de nieuwe hoge raad- interface:

Juribot, de kunstmatige intelligentie applicatie voor juristen, komt opnieuw met een innovatieve manier om jurisprudentie inzichtelijker en transparanter te maken: dit keer met een grafische interface voor referenties in Hoge Raad zaken (ook wel: de graaf). De graaf laat u de verwijzingen binnen uitspraken van de Hoge Raad zien in een interactieve grafische interface, en daarbij ook de mate van verwijzingen. Juribot™ belicht hiermee een nieuwe innovatieve kant van het gebruik van Artificiële Intelligentie (AI) binnen het juridisch vakgebied. Met het gebruik van de graaf is inzicht krijgen in de belangrijkste jurisprudentie over een bepaald onderwerp makkelijker dan ooit.

De graaf:

visualiseert de referenties tussen zaken van de Hoge Raad.
toont bij het invoeren van zoektermen alleen de zaken die matchen met uw termen.
geeft verschillende filtermogelijkheden om tot het beste resultaat te komen.
kan gezoomed en gesleept worden om naar uw wens referenties in beeld te brengen.
toont met verschil in grootte de mate waarin gerefereerd wordt naar een zaak.
- hierdoor is snel in te zien wat wordt beschouwd als een kernzaak binnen een bepaald onderwerp

Een voorbeeld van snel inzicht is de algemene top 5 van meest-gerefereerde strafzaken:

Arrest Redelijke Termijn II (ECLI:NL:HR:2008:BD2578)
Arrest Afvoerpijp (ECLI:NL:HR:2004:AM2533)
Arrest Hennepkwekerij (ECLI:NL:HR:2006:AU9130)
Arrest Redelijke Termijn I (ECLI:NL:HR:2000:AA7309)
Arrest Post-Salduz (ECLI:NL:HR:2009:BH3079)

Op dit moment is de graaf in ontwikkeling op het gebied van strafrecht, maar zoals voor alle applicaties van Juribot™ geldt: ideeën en wensen van gebruikers staan voorop. Het is mogelijk om de graaf (en de andere applicaties) door te ontwikkelen tot een product dat volledig aansluit bij uw rechtsgebied of manier van werken. Denk hierbij aan het toevoegen van eigen data of het aanpassen van de filters.

Neemt u vooral contact met mij op bij ideeën, vragen of opmerkingen Emma Smitshuijzen, smitshuijzen@semlab.nl . Laat het me ook weten indien u geïnteresseerd bent in een vrijblijvende demonstratie van JuriBot

February 9, 2017

JuriBot – The Dutch Legal AI Predicting Criminal Trial Outcomes

Artificial Lawyer recently caught up with Bram Stalknecht, CEO of Dutch AI developer SemLab and founder of JuriBot, a legal AI litigation analysis application capable of criminal trial outcome prediction.

Stalknecht begins by explaining that JuriBot has been built by SemLab, a Dutch company that says of itself: ‘[We are] Europe’s main developers of semantic software applications. Today we have one of the largest groups of experts in Natural Language Processing (NLP), Computational Linguistics and Artificial Intelligence technologies.’

SemLab has around 45 full time staff working on AI. The company operates in several areas and has developed legal applications before, such as CrimiKaart, which allows people to track crimes committed in Holland at a very detailed level.

September 22, 2016

Who is the most successful lawyer or the most strict judge in the Netherlands?

LegalRobot ™: The First Intelligent Dutch case law machine is expected as Beta on www.semlab.nl/legalrobot this October. This web application uses Artificial Intelligence (AI) and will be offered free of charge to legal experts and lawyers. The application includes all public cases for criminal and related case law. Other case law is added in the course of this year.

The AI LegalRobot™ has analyzed the documents so you:

can filter out the defendant or perpetrator characteristics.
can search in specific sections of the document.
can filter by judge or lawyer.
can select acquittals or convictions.

This makes it possible to estimate which lawyer at which court for which type of offense is most likely to achieve an acquittal.
Legal robot mannetje v3 middel
LegalRobot ™ is registered as a trade mark in the Benelux by SemLab Ltd.

September 22, 2016

Wie is de beste advocaat of de strengste rechter van Nederland?

Legal Robot™: De eerste Nederlandse Intelligente jurisprudentiemachine wordt in oktober verwacht als Bèta op www.semlab.nl/legalrobot. De webapplicatie maakt gebruik van Artificiële Intelligentie (AI) en zal kosteloos worden aangeboden aan juristen en advocaten.
De applicatie bevat alle publieke jurisprudentie voor strafrecht en gerelateerde rechtsgebieden. Overige rechtsgebieden worden in het loop van dit jaar toegevoegd.
De AI van LegalRobot™ heeft de documenten geanalyseerd waardoor U:
• kan filteren op het gebruikte verweer of daderschap kenmerken.
• kan zoeken in specifieke secties van het document.
• kan filteren op rechter of advocaat.
• kan selecteren op vrijspraken of juist veroordelingen.
Hiermee wordt het mogelijk om in te schatten welke advocaat bij welke rechter voor welk soort delict de meeste kans maakt op een vrijspraak.
Legal Robot™ is als merk gedeponeerd in de Benelux door SemLab BV .

September 11, 2015

The Future of the Law: the impact of artificial intelligence and other advanced technologies on the search for truth and justice

LawTech Europe Congress is the leading annual law-, audit-, & technology conference taking place this year on October 26th-27th in Brussels. Innovation in law is one of the key drivers in this industry to change knowledge management and processes in law practices radically. One of the disruptive law-technology companies emerge in this field is SemLab from the Netherlands. SemLab
is the premium big data analytics companies using Artificial Intelligence and Semantic Analytics for predictive analytics and knowledge management in law practices. CEO Bram Stalknecht is delighted to be panelist in Big Data and Artificial Intelligence. In discussion with Ann Hemming & Alex Smith (LexisNexis) the topic is:

Making Connections With Legal Content

In the world of Big Data, there are new opportunities to implement smart systems and use intelligent linking of content to help users to find answers to legal problems, not only more quickly but also in new ways. Big Data analysis is helping us understand the DNA of the law from the creation of legislation through to interpretation in practice and in the court room. Find out how Big Data analytics has the potential to change the way we work with legal content.

Search us

our Categories

Domains
- Finance
- Government
- Healthcare
- Legal
- Media
General
- Announcements
- New Users
Homepage
- Homepage1
Homepage2