Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Performance in the Courtroom: Automated Processing and Visualization of
  Appeal Court Decisions in France   Artificial Intelligence techniques are already popular and important in the
legal domain. We extract legal indicators from judicial judgment to decrease
the asymmetry of information of the legal system and the access-to-justice gap.
We use NLP methods to extract interesting entities/data from judgments to
construct networks of lawyers and judgments. We propose metrics to rank lawyers
based on their experience, wins/loss ratio and their importance in the network
of lawyers. We also perform community detection in the network of judgments and
propose metrics to represent the difficulty of cases capitalising on
communities features.

15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
18
The categories of this paper are: econ
28
The categories of this paper are: alg-geom