I
L
T
A
W
H
I
T
E
P
A
P
E
R
|
K
N
O
W
L
E
D
G
E
M
A
N
A
G
E
M
E
N
T
&
M
A
R
K
E
T
I
N
G
T
E
C
H
N
O
L
O
G
I
E
S
17
R O B U S T R A G - B A S E D L E G A L Q U E S T I O N A N S W E R I N G S Y S T E M S F O R K N O W L E D G E M A N A G E M E N T
R
etrieval-augmented generation (RAG)-based question-answering systems hold
great promise for automating information extraction from large document
repositories, assisting in accessing and deriving insights from institutional
knowledge. However, these systems can pose significant challenges when
applied to the legal domain. Legal queries often require precise, exhaustive, and
Robust RAG-Based
Legal Question
Answering Systems
for Knowledge
Management
by Manish Agnihotri, Chirag Mehta and Aditya Rathod
