With the continuing fast growth of information and data today, it has becomernmore and mo re urgent and important to find proper information efficiently, withrnsome improved mechanismsrnNowadays, people need much more information in work and life. The use ofrninformation techno logy such as the Internet makes information more easilyrnaccessible. However, people are having problems to easily get the informationrnthey want in a summarized way without wasting their time in the vast load ofrninformation made available to them . Thus, automatic text summarization drawsrnsubstantial interest s incest provides a solution to the information overloadrnproblem people face in this digit al era.rnThis work is concentrated on producing a prototype system of text summarizationrnon Amharic legal judgments. The methodology employed is an extractionrntechnique.rnAmharic legal judgments rendered by the supreme court of Ethiopia are selectedrnin consultation with legal experts (lawyers , law instructor & students). The datarnselected in this manner are employed to generate the summariesrnSentences in each judgment are classified in to different unit s according to theirrnargumentative roles. From each argumentative unit , sentences with the highestrnweight at 20 % compression rate are extracted and presented as a summary rnrn. To evaluate the performance of the system, a random summary at similarrncompression rate is generated. Using extrinsic evaluation technique, thernperformance of the system summary and the random summary were comparedrnwith an ideal summary (human generated summary).rnThe results obtained from the system are promising when compared with thernrandom summary.rnTo improve the performance of the system, sentences at 10% compression raternwere extracted and the system's performance has improved. Therefore, thernsentences extracted by the system summary using different extraction featuresrnare much closer to the manual (ideal) summary.rnThe prototype text summarize has been developed using the Pythonrnprogramming language as a tool.