RESEARCH COLLABORATIONS AT THE FRONTIER OF LAW: Lawyers, engineers, researchers & technologists working together to advance the frontier of legal understanding
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Joined October 2021
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Modelling the Use of Persuasive Authority as a Complex Network @Mishcon_de_Reya + @vlex investigate the cross-border flow of judicial thinking w >1.5m judgments from 26 common law countries ft. @DanHLawReporter et al mishcon.com/news/the-global-… paper: frontiersin.org/articles/10.…
MDR Research retweeted
🚨VACANCY ALERT!
We’re on the hunt for a data scientist to join @Mishcon_de_Reya’s #DataScience team. Data science is in high demand across all areas of the firm and we’re looking for a bright mind to help us deliver a cutting-edge programme of work. #legaltech
MDR Research retweeted
Any data scientists off to @wearelegalgeek tomorrow? #legaltech
MDR Research retweeted
Looking forward to attending #LegalGeek tomorrow and catching up on all things #LegalTech!
Do reach out if you want to discuss @ls2_0 and LegalTech education, or Legal Data Science and my role at @Mishcon_de_Reya ☕
🚨Bringing Structure to Case Law: LegalDocML, NLP and Enriching Court Judgments.
Still time to register for this panel, which kicks off at 2pm today!
mishcon.com/news/events/curr…
@Mishcon_de_Reya #AkomaNtoso #opendata #openlaw #datascience
🚨 Bringing Structure to Case Law
On Thursday I'll be talking with @johnlsheridan, @CathTabone and @RobinChesterman about the work we've been doing to build the NLP pipeline for @UkNatArchives Find Case Law platform. Join us! #openjustice #JusticeDataMatters
MDR Research retweeted
Join Head of Litigation Data @DanHLawReporter for an online panel event with #MDRxTech, @UkNatArchives and @vlex to discuss the new comprehensive citation recognition and resolution engine. Register now: mishcon.com/news/events/curr…
MDR Research retweeted
🚨We’ve been working on better retrieval-augmented models & thrilled to present Atlas, led by @gizacard @EXGRV & myself🚨
Atlas is a end2end pretrained "RAG"-like model, beats models 50x its size on fewshot QA, sets numerous SotA on knowledge-intensive NLP arxiv.org/abs/2208.03299
What's awash With #NFTs raphtory.github.io/NFTs/ The original data here: Nadini, M., Alessandretti, L., Di Giacinto, F. et al. Mapping the NFT revolution: market #trends, #tradenetworks, and visual features. Sci Rep 11, 20902 (2021). doi.org/10.1038/s41598-021-0…
In this morning's reading group @e_nemsic is presenting "Large Language Models are Zero-shot Reasoners" arxiv.org/pdf/2205.11916.pdf
MDR Research retweeted
Report by @DanHLawReporter on his work with @Mishcon_de_Reya using 5000 judgements supplied by @vLexJustis.
Its a great example of "downstream" of use of justice data
This Tuesday in our #machinelearning reading group @itsamyconroy is taking us through sentence-level rhetorical role classification in judgments ceur-ws.org/Vol-2385/paper1.…
MDR Research retweeted
Congratulations to our Innovation department, who were named IP Team of the Year at the Luxury Law Awards at @luxurylawconf! The team were recognised for their role advising luxury brands on areas including NFTs, the Metaverse and more. #LuxLaw2022 mishcon.com/news/mishcon-win…
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Last week @narnolddd gave a talk at the @LDBCouncil Annual TUC meeting on our research using Raphtory for temporal graph analysis of the alt-right Gab platform. Watch the talk here! youtube.com/watch?v=ugSkFlif…
.@DanHLawReporter discussing #DataGovernance in the Age of Large-Scale Data-Driven Language Technology #LLM @YJernite et al @BigScienceLLM #Facct2022 Paper: arxiv.org/abs/2206.03216
In this blog post @ljvmiranda921 shows how to use
@huggingface's LayoutLMv3 model and Prodi.gy to tackle this challenge ✨ ljvmiranda921.github.io/note…
A framework for designing #documentprocessing solutions: "It’s pure busywork, something that #AI has promised to #automate but failed to achieve..." ljvmiranda921.github.io/note…
A framework for designing #documentprocessing solutions: "It’s pure busywork, something that #AI has promised to #automate but failed to achieve..." ljvmiranda921.github.io/note…
Today Max Mozes (mmozes.net/) presents "Contrasting Human- and Machine-Generated Word-Level #Adversarial Examples for Text Classification"
w @max_nlp Pontus Stenetorp Bennett Kleinberg @lewisgriffin #EMNLP 2021 @UCLCrimeScience @ucl_nlp Paper: arxiv.org/abs/2109.04385
.@j_shangguan discusses a Unified Structure Generation for Universal Information Extraction - a text-to-structure architecture #NLP
Paper: arxiv.org/pdf/2203.12277.pdf work with @Baidu_Inc @UCAS1978 The Beijing Academy of Artificial Intelligence
MDR Research retweeted
With its launch today of AllSearch, Casetext unleashes powerful neural net search technology on litigation documents, for ediscovery, brief banks, KM, or any other document set. @casetext #LegalTech lawnext.com/2022/06/with-lau…
In this morning's reading group we're looking at analysing temporal graphs with @miratepuffin of @raphtory/@Pometry_ #graph #networks #DataScience
@raphtory manages this by distributing streams of data across multiple partitions which manage memory and maintain a logged history of nodes in the network.
