-Aim of the project was to use NLP and Computer Vision to help Lawyers to fasten up their work and get more insights. -Worked on the Data Extraction part of the working pipeline. Used Beautiful Soup for scraping the data. -Used NLP(NLTK) to detect and remove the anomalies in the data and to retrieve the missing data values. -Used Regular Expression Tagger to filter out the anomalies along with POS-Tagger. -Used Name Entity Recognition to find out the null attributes in the data.